quantitative research title related to science

• Privacy Policy

Home » 500+ Quantitative Research Titles and Topics

500+ Quantitative Research Titles and Topics

Table of Contents

Quantitative research involves collecting and analyzing numerical data to identify patterns, trends, and relationships among variables. This method is widely used in social sciences, psychology , economics , and other fields where researchers aim to understand human behavior and phenomena through statistical analysis. If you are looking for a quantitative research topic, there are numerous areas to explore, from analyzing data on a specific population to studying the effects of a particular intervention or treatment. In this post, we will provide some ideas for quantitative research topics that may inspire you and help you narrow down your interests.

Quantitative Research Titles

Quantitative Research Titles are as follows:

Business and Economics

• “Statistical Analysis of Supply Chain Disruptions on Retail Sales”
• “Quantitative Examination of Consumer Loyalty Programs in the Fast Food Industry”
• “Predicting Stock Market Trends Using Machine Learning Algorithms”
• “Influence of Workplace Environment on Employee Productivity: A Quantitative Study”
• “Impact of Economic Policies on Small Businesses: A Regression Analysis”
• “Customer Satisfaction and Profit Margins: A Quantitative Correlation Study”
• “Analyzing the Role of Marketing in Brand Recognition: A Statistical Overview”
• “Quantitative Effects of Corporate Social Responsibility on Consumer Trust”
• “Price Elasticity of Demand for Luxury Goods: A Case Study”
• “The Relationship Between Fiscal Policy and Inflation Rates: A Time-Series Analysis”
• “Factors Influencing E-commerce Conversion Rates: A Quantitative Exploration”
• “Examining the Correlation Between Interest Rates and Consumer Spending”
• “Standardized Testing and Academic Performance: A Quantitative Evaluation”
• “Teaching Strategies and Student Learning Outcomes in Secondary Schools: A Quantitative Study”
• “The Relationship Between Extracurricular Activities and Academic Success”
• “Influence of Parental Involvement on Children’s Educational Achievements”
• “Digital Literacy in Primary Schools: A Quantitative Assessment”
• “Learning Outcomes in Blended vs. Traditional Classrooms: A Comparative Analysis”
• “Correlation Between Teacher Experience and Student Success Rates”
• “Analyzing the Impact of Classroom Technology on Reading Comprehension”
• “Gender Differences in STEM Fields: A Quantitative Analysis of Enrollment Data”
• “The Relationship Between Homework Load and Academic Burnout”
• “Assessment of Special Education Programs in Public Schools”
• “Role of Peer Tutoring in Improving Academic Performance: A Quantitative Study”

Medicine and Health Sciences

• “The Impact of Sleep Duration on Cardiovascular Health: A Cross-sectional Study”
• “Analyzing the Efficacy of Various Antidepressants: A Meta-Analysis”
• “Patient Satisfaction in Telehealth Services: A Quantitative Assessment”
• “Dietary Habits and Incidence of Heart Disease: A Quantitative Review”
• “Correlations Between Stress Levels and Immune System Functioning”
• “Smoking and Lung Function: A Quantitative Analysis”
• “Influence of Physical Activity on Mental Health in Older Adults”
• “Antibiotic Resistance Patterns in Community Hospitals: A Quantitative Study”
• “The Efficacy of Vaccination Programs in Controlling Disease Spread: A Time-Series Analysis”
• “Role of Social Determinants in Health Outcomes: A Quantitative Exploration”
• “Impact of Hospital Design on Patient Recovery Rates”
• “Quantitative Analysis of Dietary Choices and Obesity Rates in Children”

Social Sciences

• “Examining Social Inequality through Wage Distribution: A Quantitative Study”
• “Impact of Parental Divorce on Child Development: A Longitudinal Study”
• “Social Media and its Effect on Political Polarization: A Quantitative Analysis”
• “The Relationship Between Religion and Social Attitudes: A Statistical Overview”
• “Influence of Socioeconomic Status on Educational Achievement”
• “Quantifying the Effects of Community Programs on Crime Reduction”
• “Public Opinion and Immigration Policies: A Quantitative Exploration”
• “Analyzing the Gender Representation in Political Offices: A Quantitative Study”
• “Impact of Mass Media on Public Opinion: A Regression Analysis”
• “Influence of Urban Design on Social Interactions in Communities”
• “The Role of Social Support in Mental Health Outcomes: A Quantitative Analysis”
• “Examining the Relationship Between Substance Abuse and Employment Status”

Engineering and Technology

• “Performance Evaluation of Different Machine Learning Algorithms in Autonomous Vehicles”
• “Material Science: A Quantitative Analysis of Stress-Strain Properties in Various Alloys”
• “Impacts of Data Center Cooling Solutions on Energy Consumption”
• “Analyzing the Reliability of Renewable Energy Sources in Grid Management”
• “Optimization of 5G Network Performance: A Quantitative Assessment”
• “Quantifying the Effects of Aerodynamics on Fuel Efficiency in Commercial Airplanes”
• “The Relationship Between Software Complexity and Bug Frequency”
• “Machine Learning in Predictive Maintenance: A Quantitative Analysis”
• “Wearable Technologies and their Impact on Healthcare Monitoring”
• “Quantitative Assessment of Cybersecurity Measures in Financial Institutions”
• “Analysis of Noise Pollution from Urban Transportation Systems”
• “The Influence of Architectural Design on Energy Efficiency in Buildings”

Quantitative Research Topics

Quantitative Research Topics are as follows:

• The effects of social media on self-esteem among teenagers.
• A comparative study of academic achievement among students of single-sex and co-educational schools.
• The impact of gender on leadership styles in the workplace.
• The correlation between parental involvement and academic performance of students.
• The effect of mindfulness meditation on stress levels in college students.
• The relationship between employee motivation and job satisfaction.
• The effectiveness of online learning compared to traditional classroom learning.
• The correlation between sleep duration and academic performance among college students.
• The impact of exercise on mental health among adults.
• The relationship between social support and psychological well-being among cancer patients.
• The effect of caffeine consumption on sleep quality.
• A comparative study of the effectiveness of cognitive-behavioral therapy and pharmacotherapy in treating depression.
• The relationship between physical attractiveness and job opportunities.
• The correlation between smartphone addiction and academic performance among high school students.
• The impact of music on memory recall among adults.
• The effectiveness of parental control software in limiting children’s online activity.
• The relationship between social media use and body image dissatisfaction among young adults.
• The correlation between academic achievement and parental involvement among minority students.
• The impact of early childhood education on academic performance in later years.
• The effectiveness of employee training and development programs in improving organizational performance.
• The relationship between socioeconomic status and access to healthcare services.
• The correlation between social support and academic achievement among college students.
• The impact of technology on communication skills among children.
• The effectiveness of mindfulness-based stress reduction programs in reducing symptoms of anxiety and depression.
• The relationship between employee turnover and organizational culture.
• The correlation between job satisfaction and employee engagement.
• The impact of video game violence on aggressive behavior among children.
• The effectiveness of nutritional education in promoting healthy eating habits among adolescents.
• The relationship between bullying and academic performance among middle school students.
• The correlation between teacher expectations and student achievement.
• The impact of gender stereotypes on career choices among high school students.
• The effectiveness of anger management programs in reducing violent behavior.
• The relationship between social support and recovery from substance abuse.
• The correlation between parent-child communication and adolescent drug use.
• The impact of technology on family relationships.
• The effectiveness of smoking cessation programs in promoting long-term abstinence.
• The relationship between personality traits and academic achievement.
• The correlation between stress and job performance among healthcare professionals.
• The impact of online privacy concerns on social media use.
• The effectiveness of cognitive-behavioral therapy in treating anxiety disorders.
• The relationship between teacher feedback and student motivation.
• The correlation between physical activity and academic performance among elementary school students.
• The impact of parental divorce on academic achievement among children.
• The effectiveness of diversity training in improving workplace relationships.
• The relationship between childhood trauma and adult mental health.
• The correlation between parental involvement and substance abuse among adolescents.
• The impact of social media use on romantic relationships among young adults.
• The effectiveness of assertiveness training in improving communication skills.
• The relationship between parental expectations and academic achievement among high school students.
• The correlation between sleep quality and mood among adults.
• The impact of video game addiction on academic performance among college students.
• The effectiveness of group therapy in treating eating disorders.
• The relationship between job stress and job performance among teachers.
• The correlation between mindfulness and emotional regulation.
• The impact of social media use on self-esteem among college students.
• The effectiveness of parent-teacher communication in promoting academic achievement among elementary school students.
• The impact of renewable energy policies on carbon emissions
• The relationship between employee motivation and job performance
• The effectiveness of psychotherapy in treating eating disorders
• The correlation between physical activity and cognitive function in older adults
• The effect of childhood poverty on adult health outcomes
• The impact of urbanization on biodiversity conservation
• The relationship between work-life balance and employee job satisfaction
• The effectiveness of eye movement desensitization and reprocessing (EMDR) in treating trauma
• The correlation between parenting styles and child behavior
• The effect of social media on political polarization
• The impact of foreign aid on economic development
• The relationship between workplace diversity and organizational performance
• The effectiveness of dialectical behavior therapy in treating borderline personality disorder
• The correlation between childhood abuse and adult mental health outcomes
• The effect of sleep deprivation on cognitive function
• The impact of trade policies on international trade and economic growth
• The relationship between employee engagement and organizational commitment
• The effectiveness of cognitive therapy in treating postpartum depression
• The correlation between family meals and child obesity rates
• The effect of parental involvement in sports on child athletic performance
• The impact of social entrepreneurship on sustainable development
• The relationship between emotional labor and job burnout
• The effectiveness of art therapy in treating dementia
• The correlation between social media use and academic procrastination
• The effect of poverty on childhood educational attainment
• The impact of urban green spaces on mental health
• The relationship between job insecurity and employee well-being
• The effectiveness of virtual reality exposure therapy in treating anxiety disorders
• The correlation between childhood trauma and substance abuse
• The effect of screen time on children’s social skills
• The impact of trade unions on employee job satisfaction
• The relationship between cultural intelligence and cross-cultural communication
• The effectiveness of acceptance and commitment therapy in treating chronic pain
• The correlation between childhood obesity and adult health outcomes
• The effect of gender diversity on corporate performance
• The impact of environmental regulations on industry competitiveness.
• The impact of renewable energy policies on greenhouse gas emissions
• The relationship between workplace diversity and team performance
• The effectiveness of group therapy in treating substance abuse
• The correlation between parental involvement and social skills in early childhood
• The effect of technology use on sleep patterns
• The impact of government regulations on small business growth
• The relationship between job satisfaction and employee turnover
• The effectiveness of virtual reality therapy in treating anxiety disorders
• The correlation between parental involvement and academic motivation in adolescents
• The effect of social media on political engagement
• The impact of urbanization on mental health
• The relationship between corporate social responsibility and consumer trust
• The correlation between early childhood education and social-emotional development
• The effect of screen time on cognitive development in young children
• The impact of trade policies on global economic growth
• The relationship between workplace diversity and innovation
• The effectiveness of family therapy in treating eating disorders
• The correlation between parental involvement and college persistence
• The effect of social media on body image and self-esteem
• The impact of environmental regulations on business competitiveness
• The relationship between job autonomy and job satisfaction
• The effectiveness of virtual reality therapy in treating phobias
• The correlation between parental involvement and academic achievement in college
• The effect of social media on sleep quality
• The impact of immigration policies on social integration
• The relationship between workplace diversity and employee well-being
• The effectiveness of psychodynamic therapy in treating personality disorders
• The correlation between early childhood education and executive function skills
• The effect of parental involvement on STEM education outcomes
• The impact of trade policies on domestic employment rates
• The relationship between job insecurity and mental health
• The effectiveness of exposure therapy in treating PTSD
• The correlation between parental involvement and social mobility
• The effect of social media on intergroup relations
• The impact of urbanization on air pollution and respiratory health.
• The relationship between emotional intelligence and leadership effectiveness
• The effectiveness of cognitive-behavioral therapy in treating depression
• The correlation between early childhood education and language development
• The effect of parental involvement on academic achievement in STEM fields
• The impact of trade policies on income inequality
• The relationship between workplace diversity and customer satisfaction
• The effectiveness of mindfulness-based therapy in treating anxiety disorders
• The correlation between parental involvement and civic engagement in adolescents
• The effect of social media on mental health among teenagers
• The impact of public transportation policies on traffic congestion
• The relationship between job stress and job performance
• The effectiveness of group therapy in treating depression
• The correlation between early childhood education and cognitive development
• The effect of parental involvement on academic motivation in college
• The impact of environmental regulations on energy consumption
• The relationship between workplace diversity and employee engagement
• The effectiveness of art therapy in treating PTSD
• The correlation between parental involvement and academic success in vocational education
• The effect of social media on academic achievement in college
• The impact of tax policies on economic growth
• The relationship between job flexibility and work-life balance
• The effectiveness of acceptance and commitment therapy in treating anxiety disorders
• The correlation between early childhood education and social competence
• The effect of parental involvement on career readiness in high school
• The impact of immigration policies on crime rates
• The relationship between workplace diversity and employee retention
• The effectiveness of play therapy in treating trauma
• The correlation between parental involvement and academic success in online learning
• The effect of social media on body dissatisfaction among women
• The impact of urbanization on public health infrastructure
• The relationship between job satisfaction and job performance
• The effectiveness of eye movement desensitization and reprocessing therapy in treating PTSD
• The correlation between early childhood education and social skills in adolescence
• The effect of parental involvement on academic achievement in the arts
• The impact of trade policies on foreign investment
• The relationship between workplace diversity and decision-making
• The effectiveness of exposure and response prevention therapy in treating OCD
• The correlation between parental involvement and academic success in special education
• The impact of zoning laws on affordable housing
• The relationship between job design and employee motivation
• The effectiveness of cognitive rehabilitation therapy in treating traumatic brain injury
• The correlation between early childhood education and social-emotional learning
• The effect of parental involvement on academic achievement in foreign language learning
• The impact of trade policies on the environment
• The relationship between workplace diversity and creativity
• The effectiveness of emotion-focused therapy in treating relationship problems
• The correlation between parental involvement and academic success in music education
• The effect of social media on interpersonal communication skills
• The impact of public health campaigns on health behaviors
• The relationship between job resources and job stress
• The effectiveness of equine therapy in treating substance abuse
• The correlation between early childhood education and self-regulation
• The effect of parental involvement on academic achievement in physical education
• The impact of immigration policies on cultural assimilation
• The relationship between workplace diversity and conflict resolution
• The effectiveness of schema therapy in treating personality disorders
• The correlation between parental involvement and academic success in career and technical education
• The effect of social media on trust in government institutions
• The impact of urbanization on public transportation systems
• The relationship between job demands and job stress
• The correlation between early childhood education and executive functioning
• The effect of parental involvement on academic achievement in computer science
• The effectiveness of cognitive processing therapy in treating PTSD
• The correlation between parental involvement and academic success in homeschooling
• The effect of social media on cyberbullying behavior
• The impact of urbanization on air quality
• The effectiveness of dance therapy in treating anxiety disorders
• The correlation between early childhood education and math achievement
• The effect of parental involvement on academic achievement in health education
• The impact of global warming on agriculture
• The effectiveness of narrative therapy in treating depression
• The correlation between parental involvement and academic success in character education
• The effect of social media on political participation
• The impact of technology on job displacement
• The relationship between job resources and job satisfaction
• The effectiveness of art therapy in treating addiction
• The correlation between early childhood education and reading comprehension
• The effect of parental involvement on academic achievement in environmental education
• The impact of income inequality on social mobility
• The relationship between workplace diversity and organizational culture
• The effectiveness of solution-focused brief therapy in treating anxiety disorders
• The correlation between parental involvement and academic success in physical therapy education
• The effect of social media on misinformation
• The impact of green energy policies on economic growth
• The relationship between job demands and employee well-being
• The correlation between early childhood education and science achievement
• The effect of parental involvement on academic achievement in religious education
• The impact of gender diversity on corporate governance
• The relationship between workplace diversity and ethical decision-making
• The correlation between parental involvement and academic success in dental hygiene education
• The effect of social media on self-esteem among adolescents
• The impact of renewable energy policies on energy security
• The effect of parental involvement on academic achievement in social studies
• The impact of trade policies on job growth
• The relationship between workplace diversity and leadership styles
• The correlation between parental involvement and academic success in online vocational training
• The effect of social media on self-esteem among men
• The impact of urbanization on air pollution levels
• The effectiveness of music therapy in treating depression
• The correlation between early childhood education and math skills
• The effect of parental involvement on academic achievement in language arts
• The impact of immigration policies on labor market outcomes
• The effectiveness of hypnotherapy in treating phobias
• The effect of social media on political engagement among young adults
• The impact of urbanization on access to green spaces
• The relationship between job crafting and job satisfaction
• The effectiveness of exposure therapy in treating specific phobias
• The correlation between early childhood education and spatial reasoning
• The effect of parental involvement on academic achievement in business education
• The impact of trade policies on economic inequality
• The effectiveness of narrative therapy in treating PTSD
• The correlation between parental involvement and academic success in nursing education
• The effect of social media on sleep quality among adolescents
• The impact of urbanization on crime rates
• The relationship between job insecurity and turnover intentions
• The effectiveness of pet therapy in treating anxiety disorders
• The correlation between early childhood education and STEM skills
• The effect of parental involvement on academic achievement in culinary education
• The impact of immigration policies on housing affordability
• The relationship between workplace diversity and employee satisfaction
• The effectiveness of mindfulness-based stress reduction in treating chronic pain
• The correlation between parental involvement and academic success in art education
• The effect of social media on academic procrastination among college students
• The impact of urbanization on public safety services.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

500+ Environmental Research Topics

500+ Sports Research Topics

500+ Statistics Research Topics

350+ Biology Research Topics

500+ Climate Change Research Topics

300+ American History Research Paper Topics

200 Quantitative Research Title for Stem Students

Are you a STEM (Science, Technology, Engineering, and Mathematics) student looking for inspiration for your next research project? You’re in the right place! Quantitative research involves gathering numerical data to answer specific questions, and it’s a fundamental part of STEM fields. To help you get started on your research journey, we’ve compiled a list of 200 quantitative research title for stem students. These titles span various STEM disciplines, from biology to computer science. Whether you’re an undergraduate or graduate student, these titles can serve as a springboard for your research ideas.

Biology and Life Sciences

• The Impact of pH Levels on Microbial Growth
• Examining the Impact of Temperature on Enzyme Activity.
• Investigating the Relationship Between Genetics and Obesity
• Exploring the Diversity of Microorganisms in Soil Samples
• Quantifying the Impact of Pesticides on Aquatic Ecosystems
• Studying the Effect of Light Exposure on Plant Growth
• Analyzing the Efficiency of Antibiotics on Bacterial Infections
• Investigating the Relationship Between Blood Type and Disease Susceptibility
• Evaluating the Effects of Different Diets on Lifespan in Fruit Flies
• Evaluating the Influence of Air Pollution on Respiratory Health.
• Determining the Kinetics of Chemical Reactions
• Investigating the Conductivity of Various Ionic Solutions
• Analyzing the Effects of Temperature on Gas Solubility
• Studying the Corrosion Rate of Metals in Different Environments
• Quantifying the Concentration of Heavy Metals in Water Sources
• Evaluating the Efficiency of Photocatalytic Materials in Water Purification
• Examining the Thermodynamics of Electrochemical Cells
• Investigating the Effect of pH on Acid-Base Titrations
• Analyzing the Composition of Natural and Synthetic Polymers
• Assessing the Chemical Properties of Nanoparticles
• Measuring the Speed of Light Using Interferometry
• Studying the Behavior of Electromagnetic Waves in Different Media
• Investigating the Relationship Between Mass and Gravitational Force
• Analyzing the Efficiency of Solar Cells in Energy Conversion
• Examining Quantum Entanglement in Photon Pairs
• Quantifying the Heat Transfer in Different Materials
• Evaluating the Efficiency of Wind Turbines in Energy Production
• Studying the Elasticity of Materials Through Stress-Strain Analysis
• Analyzing the Effects of Magnetic Fields on Particle Motion
• Investigating the Behavior of Superconductors at Low Temperatures

Mathematics

• Exploring Patterns in Prime Numbers
• Analyzing the Distribution of Random Variables
• Investigating the Properties of Fractals in Geometry
• Evaluating the Efficiency of Optimization Algorithms
• Studying the Dynamics of Differential Equations
• Quantifying the Growth of Cryptocurrency Markets
• Analyzing Network Theory and its Applications
• Investigating the Complexity of Sorting Algorithms
• Assessing the Predictive Power of Machine Learning Models
• Examining the Distribution of Prime Factors in Large Numbers

Computer Science

• Evaluating the Performance of Encryption Algorithms
• Analyzing the Efficiency of Data Compression Techniques
• Investigating Cybersecurity Threats in IoT Devices
• Quantifying the Impact of Code Refactoring on Software Quality
• Studying the Behavior of Neural Networks in Image Recognition
• Analyzing the Effectiveness of Natural Language Processing Models
• Investigating the Relationship Between Software Bugs and Development Methods
• Evaluating the Efficiency of Blockchain Consensus Mechanisms
• Assessing the Privacy Implications of Social Media Data Mining
• Studying the Dynamics of Online Social Networks

Engineering

• Analyzing the Structural Integrity of Bridges Under Load
• Investigating the Efficiency of Renewable Energy Systems
• Quantifying the Performance of Water Filtration Systems
• Evaluating the Durability of 3D-Printed Materials
• Studying the Aerodynamics of Drone Design
• Analyzing the Impact of Noise Pollution on Urban Environments
• Investigating the Efficiency of Heat Exchangers in HVAC Systems
• Assessing the Safety of Autonomous Vehicles in Real-world Scenarios
• Exploring the Applications of Artificial Intelligence in Robotics
• Investigating Material Behavior in Extreme Conditions.

Environmental Science

• Assessing the Effect of Climate Change on Wildlife Migration.
• Analyzing the Effect of Deforestation on Carbon Sequestration
• Investigating the Relationship Between Air Quality and Human Health
• Quantifying the Rate of Soil Erosion in Different Landscapes
• Analyzing the Impacts of Ocean Acidification on Coral Reefs.
• Assessing the Efficiency of Waste-to-Energy Conversion Technologies
• Analyzing the Impact of Urbanization on Local Microclimates
• Investigating the Effect of Oil Spills on Aquatic Ecosystems
• Assessing the Effectiveness of Endangered Species Conservation Initiatives.
• Studying the Dynamics of Ecological Communities

Astronomy and Space Sciences

• Measuring the Orbits of Exoplanets Using Transit Photometry
• Investigating the Formation of Stars in Nebulae
• Analyzing the Characteristics of Black Holes
• Exploring the Characteristics of Cosmic Microwave Background Radiation.
• Quantifying the Distribution of Dark Matter in Galaxies
• Assessing the Effects of Space Weather on Satellite Communications
• Evaluating the Potential for Asteroid Mining
• Investigating the Habitability of Exoplanets in the Goldilocks Zone
• Analyzing Gravitational Waves from Neutron Star Collisions
• Investigating the Evolution of Galaxies Across Cosmic Eras.

Health Sciences

• Evaluating the Impact of Exercise on Cardiovascular Health
• Analyzing the Relationship Between Diet and Diabetes
• Investigating the Efficacy of Vaccination Programs
• Quantifying the Psychological Effects of Social Media Use
• Studying the Genetics of Neurodegenerative Diseases
• Analyzing the Effects of Meditation on Stress Reduction
• Investigating the Correlation Between Sleep Patterns and Mental Health
• Assessing the Influence of Environmental Factors on Allergies
• Evaluating the Effectiveness of Telemedicine in Patient Care
• Studying the Health Disparities Among Different Demographic Groups

Materials Science

• Analyzing the Properties of Carbon Nanotubes for Nanoelectronics
• Investigating the Thermal Conductivity of Advanced Ceramics
• Quantifying the Strength of Composite Materials
• Studying the Optical Properties of Quantum Dots
• Evaluating the Biocompatibility of Biomaterials for Implants
• Investigating the Phase Transitions in Perovskite Materials
• Analyzing the Mechanical Behavior of Shape Memory Alloys
• Assessing the Corrosion Resistance of Coatings on Metals
• Studying the Electrical Conductivity of Polymer Blends
• Exploring the Superconducting Properties of High-Temperature Superconductors

Earth Sciences

• Assessing the Influence of Volcanic Eruptions on Climate.
• Analyzing the Geological Processes Shaping Earth’s Surface
• Investigating the Seismic Activity in Subduction Zones
• Quantifying the Rate of Glacial Retreat in Polar Regions
• Studying the Formation of Earthquakes Along Fault Lines
• Analyzing the Changes in Ocean Circulation Due to Climate Change
• Investigating the Effects of Urbanization on Groundwater Quality
• Assessing the Risk of Landslides in Hilly Terrain
• Evaluating the Impact of Coastal Erosion on Communities
• Studying the Behavior of Hurricanes in Different Oceanic Basins

Social Sciences and Economics

• Analyzing the Economic Impact of Natural Disasters
• Investigating the Relationship Between Education and Income
• Quantifying the Effects of Public Health Policies on Disease Spread
• Studying the Demographic Changes in Aging Populations
• Evaluating the Effects of Gender Diversity on Corporate Performance
• Analyzing the Influence of Social Media on Political Behavior
• Investigating the Correlation Between Happiness and Economic Growth
• Assessing the Factors Affecting Consumer Buying Behavior
• Studying the Dynamics of International Trade Flows
• Exploring the Effects of Income Inequality on Social Mobility

Robotics and Artificial Intelligence

• Evaluating the Performance of Reinforcement Learning Algorithms in Robotics
• Analyzing the Efficiency of Autonomous Navigation Systems
• Investigating Human-Robot Interaction in Collaborative Environments
• Quantifying the Accuracy of Object Detection Algorithms
• Studying the Ethics of Autonomous AI Decision-Making
• Analyzing the Robustness of Machine Learning Models to Adversarial Attacks
• Investigating the Use of AI in Healthcare Diagnosis
• Assessing the Impact of AI on Job Markets
• Evaluating the Efficiency of Natural Language Processing in Chatbots
• Studying the Potential for AI to Enhance Education

Energy and Sustainability

• Examining the Environmental Consequences of Renewable Energy Sources.
• Investigating the Efficiency of Energy Storage Systems
• Quantifying the Benefits of Green Building Technologies
• Studying the Effects of Carbon Pricing on Emissions Reduction
• Examining the Prospect for Carbon Capture and Storage
• Assessing the Sustainability of Food Production Systems
• Investigating the Impact of Electric Vehicles on Urban Air Quality
• Analyzing the Energy Consumption Patterns in Smart Cities
• Studying the Feasibility of Hydrogen as a Clean Energy Carrier
• Exploring Sustainable Agriculture Practices for Crop Yield Improvement

Neuroscience and Psychology

• Evaluating the Cognitive Effects of Video Game Play
• Analyzing Brain Activity During Decision-Making Processes
• Investigating the Neural Correlates of Emotional Regulation
• Quantifying the Impact of Music on Brain Function
• Analyzing the Outcomes of Mindfulness Meditation on Anxiety
• Analyzing Sleep Patterns and Memory Consolidation
• Investigating the Relationship Between Neurotransmitters and Mood
• Assessing the Neural Basis of Addiction
• Evaluating the Effects of Trauma on Brain Structure
• Studying the Brain’s Response to Virtual Reality Environments

Mechanical Engineering

• Analyzing the Efficiency of Heat Exchangers in Power Plants
• Investigating the Wear and Tear of Mechanical Bearings
• Quantifying the Vibrations in Mechanical Systems
• Studying the Aerodynamics of Wind Turbine Blades
• Evaluating the Frictional Properties of Lubricants
• Assessing the Efficiency of Cooling Systems in Electronics
• Investigating the Performance of Internal Combustion Engines
• Analyzing the Impact of Additive Manufacturing on Product Development
• Studying the Dynamics of Fluid Flow in Pipelines
• Exploring the Behavior of Composite Materials in Aerospace Structures

Biomedical Engineering

• Evaluating the Biomechanics of Human Joint Replacements
• Analyzing the Performance of Wearable Health Monitoring Devices
• Investigating the Biocompatibility of 3D-Printed Medical Implants
• Quantifying the Drug Release Rates from Biodegradable Polymers
• Studying the Efficiency of Drug Delivery Systems
• Assessing the Use of Nanoparticles in Cancer Therapies
• Investigating the Biomechanics of Tissue Engineering Constructs
• Analyzing the Effects of Electrical Stimulation on Nerve Regeneration
• Evaluating the Mechanical Properties of Artificial Heart Valves
• Studying the Biomechanics of Human Movement

Civil and Environmental Engineering

• Analyzing the Structural Behavior of Tall Buildings in Seismic Zones
• Investigating the Efficiency of Stormwater Management Systems
• Quantifying the Impact of Green Infrastructure on Urban Flooding
• Studying the Behavior of Soils in Slope Stability Analysis
• Evaluating the Performance of Water Treatment Plants
• Assessing the Sustainability of Transportation Systems
• Investigating the Effects of Climate Change on Infrastructure Resilience
• Analyzing the Environmental Impact of Construction Materials
• Studying the Dynamics of River Sediment Transport
• Exploring the Use of Smart Materials in Civil Engineering Applications

Chemical Engineering

• Evaluating the Efficiency of Chemical Reactors in Pharmaceutical Production
• Analyzing the Mass Transfer Rates in Membrane Separation Processes
• Investigating the Effects of Catalysis on Chemical Reactions
• Quantifying the Kinetics of Polymerization Reactions
• Studying the Thermodynamics of Gas-Liquid Absorption Processes
• Assessing the Efficiency of Adsorption-Based Carbon Capture
• Investigating the Rheological Properties of Non-Newtonian Fluids
• Analyzing the Effects of Surfactants on Foam Stability
• Studying the Mass Transport in Microfluidic Devices
• Exploring the Synthesis of Nanomaterials for Energy Applications

Electrical and Electronic Engineering

• Analyzing the Efficiency of Power Electronics in Electric Vehicles
• Investigating the Performance of Wireless Communication Systems
• Quantifying the Power Consumption of IoT Devices
• Studying the Reliability of Printed Circuit Boards
• Evaluating the Efficiency of Photovoltaic Inverters
• Assessing the Electromagnetic Compatibility of Electronic Devices
• Investigating the Behavior of Antenna Arrays in Beamforming
• Analyzing the Power Quality in Electrical Grids
• Studying the Security of IoT Networks
• Exploring the Use of Machine Learning in Signal Processing

These 200 quantitative research titles offer a diverse array of options to inspire your next STEM research endeavor. Always remember to select a subject that truly captivates your interest and curiosity, as your enthusiasm and curiosity will drive your research to new heights. Good luck with your research journey, STEM student!

Leave a Comment Cancel Reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Best 151+ Quantitative Research Topics for STEM Students

In today’s rapidly evolving world, STEM (Science, Technology, Engineering, and Mathematics) fields have gained immense significance. For STEM students, engaging in quantitative research is a pivotal aspect of their academic journey. Quantitative research involves the systematic collection and interpretation of numerical data to address research questions or test hypotheses. Choosing the right research topic is essential to ensure a successful and meaningful research endeavor. 

In this blog, we will explore 151+ quantitative research topics for STEM students. Whether you are an aspiring scientist, engineer, or mathematician, this comprehensive list will inspire your research journey. But we understand that the journey through STEM education and research can be challenging at times. That’s why we’re here to support you every step of the way with our Engineering Assignment Help service. 

What is Quantitative Research in STEM?

Table of Contents

Quantitative research is a scientific approach that relies on numerical data and statistical analysis to draw conclusions and make predictions. In STEM fields, quantitative research encompasses a wide range of methodologies, including experiments, surveys, and data analysis. The key characteristics of quantitative research in STEM include:

• Data Collection: Systematic gathering of numerical data through experiments, observations, or surveys.
• Statistical Analysis: Application of statistical techniques to analyze data and draw meaningful conclusions.
• Hypothesis Testing: Testing hypotheses and theories using quantitative data.
• Replicability: The ability to replicate experiments and obtain consistent results.
• Generalizability: Drawing conclusions that can be applied to larger populations or phenomena.

Importance of Quantitative Research Topics for STEM Students

Quantitative research plays a pivotal role in STEM education and research for several reasons:

1. Empirical Evidence

It provides empirical evidence to support or refute scientific theories and hypotheses.

2. Data-Driven Decision-Making

STEM professionals use quantitative research to make informed decisions, from designing experiments to developing new technologies.

3. Innovation

It fuels innovation by providing data-driven insights that lead to the creation of new products, processes, and technologies.

4. Problem Solving

STEM students learn critical problem-solving skills through quantitative research, which are invaluable in their future careers.

5. Interdisciplinary Applications 

Quantitative research transcends STEM disciplines, facilitating collaboration and the tackling of complex, real-world problems.

Also Read: Google Scholar Research Topics

Quantitative Research Topics for STEM Students

Now, let’s explore important quantitative research topics for STEM students:

Biology and Life Sciences

Here are some quantitative research topics in biology and life science:

1. The impact of climate change on biodiversity.

2. Analyzing the genetic basis of disease susceptibility.

3. Studying the effectiveness of vaccines in preventing infectious diseases.

4. Investigating the ecological consequences of invasive species.

5. Examining the role of genetics in aging.

6. Analyzing the effects of pollution on aquatic ecosystems.

7. Studying the evolution of antibiotic resistance.

8. Investigating the relationship between diet and lifespan.

9. Analyzing the impact of deforestation on wildlife.

10. Studying the genetics of cancer development.

11. Investigating the effectiveness of various plant fertilizers.

12. Analyzing the impact of microplastics on marine life.

13. Studying the genetics of human behavior.

14. Investigating the effects of pollution on plant growth.

15. Analyzing the microbiome’s role in human health.

16. Studying the impact of climate change on crop yields.

17. Investigating the genetics of rare diseases.

Let’s get started with some quantitative research topics for stem students in chemistry:

1. Studying the properties of superconductors at different temperatures.

2. Analyzing the efficiency of various catalysts in chemical reactions.

3. Investigating the synthesis of novel polymers with unique properties.

4. Studying the kinetics of chemical reactions.

5. Analyzing the environmental impact of chemical waste disposal.

6. Investigating the properties of nanomaterials for drug delivery.

7. Studying the behavior of nanoparticles in different solvents.

8. Analyzing the use of renewable energy sources in chemical processes.

9. Investigating the chemistry of atmospheric pollutants.

10. Studying the properties of graphene for electronic applications.

11. Analyzing the use of enzymes in industrial processes.

12. Investigating the chemistry of alternative fuels.

13. Studying the synthesis of pharmaceutical compounds.

14. Analyzing the properties of materials for battery technology.

15. Investigating the chemistry of natural products for drug discovery.

16. Analyzing the effects of chemical additives on food preservation.

17. Investigating the chemistry of carbon capture and utilization technologies.

Here are some quantitative research topics in physics for stem students:

1. Investigating the behavior of subatomic particles in high-energy collisions.

2. Analyzing the properties of dark matter and dark energy.

3. Studying the quantum properties of entangled particles.

4. Investigating the dynamics of black holes and their gravitational effects.

5. Analyzing the behavior of light in different mediums.

6. Studying the properties of superfluids at low temperatures.

7. Investigating the physics of renewable energy sources like solar cells.

8. Analyzing the properties of materials at extreme temperatures and pressures.

9. Studying the behavior of electromagnetic waves in various applications.

10. Investigating the physics of quantum computing.

11. Analyzing the properties of magnetic materials for data storage.

12. Studying the behavior of particles in plasma for fusion energy research.

13. Investigating the physics of nanoscale materials and devices.

14. Analyzing the properties of materials for use in semiconductors.

15. Studying the principles of thermodynamics in energy efficiency.

16. Investigating the physics of gravitational waves.

17. Analyzing the properties of materials for use in quantum technologies.

Engineering

Let’s explore some quantitative research topics for stem students in engineering: 

1. Investigating the efficiency of renewable energy systems in urban environments.

2. Analyzing the impact of 3D printing on manufacturing processes.

3. Studying the structural integrity of materials in aerospace engineering.

4. Investigating the use of artificial intelligence in autonomous vehicles.

5. Analyzing the efficiency of water treatment processes in civil engineering.

6. Studying the impact of robotics in healthcare.

7. Investigating the optimization of supply chain logistics using quantitative methods.

8. Analyzing the energy efficiency of smart buildings.

9. Studying the effects of vibration on structural engineering.

10. Investigating the use of drones in agricultural practices.

11. Analyzing the impact of machine learning in predictive maintenance.

12. Studying the optimization of transportation networks.

13. Investigating the use of nanomaterials in electronic devices.

14. Analyzing the efficiency of renewable energy storage systems.

15. Studying the impact of AI-driven design in architecture.

16. Investigating the optimization of manufacturing processes using Industry 4.0 technologies.

17. Analyzing the use of robotics in underwater exploration.

Environmental Science

Here are some top quantitative research topics in environmental science for students:

1. Investigating the effects of air pollution on respiratory health.

2. Analyzing the impact of deforestation on climate change.

3. Studying the biodiversity of coral reefs and their conservation.

4. Investigating the use of remote sensing in monitoring deforestation.

5. Analyzing the effects of plastic pollution on marine ecosystems.

6. Studying the impact of climate change on glacier retreat.

7. Investigating the use of wetlands for water quality improvement.

8. Analyzing the effects of urbanization on local microclimates.

9. Studying the impact of oil spills on aquatic ecosystems.

10. Investigating the use of renewable energy in mitigating greenhouse gas emissions.

11. Analyzing the effects of soil erosion on agricultural productivity.

12. Studying the impact of invasive species on native ecosystems.

13. Investigating the use of bioremediation for soil cleanup.

14. Analyzing the effects of climate change on migratory bird patterns.

15. Studying the impact of land use changes on water resources.

16. Investigating the use of green infrastructure for urban stormwater management.

17. Analyzing the effects of noise pollution on wildlife behavior.

Computer Science

Let’s get started with some simple quantitative research topics for stem students:

1. Investigating the efficiency of machine learning algorithms for image recognition.

2. Analyzing the security of blockchain technology in financial transactions.

3. Studying the impact of quantum computing on cryptography.

4. Investigating the use of natural language processing in chatbots and virtual assistants.

5. Analyzing the effectiveness of cybersecurity measures in protecting sensitive data.

6. Studying the impact of algorithmic trading in financial markets.

7. Investigating the use of deep learning in autonomous robotics.

8. Analyzing the efficiency of data compression algorithms for large datasets.

9. Studying the impact of virtual reality in medical simulations.

10. Investigating the use of artificial intelligence in personalized medicine.

11. Analyzing the effectiveness of recommendation systems in e-commerce.

12. Studying the impact of cloud computing on data storage and processing.

13. Investigating the use of neural networks in predicting disease outbreaks.

14. Analyzing the efficiency of data mining techniques in customer behavior analysis.

15. Studying the impact of social media algorithms on user behavior.

16. Investigating the use of machine learning in natural language translation.

17. Analyzing the effectiveness of sentiment analysis in social media monitoring.

Mathematics

Let’s explore the quantitative research topics in mathematics for students:

1. Investigating the properties of prime numbers and their distribution.

2. Analyzing the behavior of chaotic systems using differential equations.

3. Studying the optimization of algorithms for solving complex mathematical problems.

4. Investigating the use of graph theory in network analysis.

5. Analyzing the properties of fractals in natural phenomena.

6. Studying the application of probability theory in risk assessment.

7. Investigating the use of numerical methods in solving partial differential equations.

8. Analyzing the properties of mathematical models for population dynamics.

9. Studying the optimization of algorithms for data compression.

10. Investigating the use of topology in data analysis.

11. Analyzing the behavior of mathematical models in financial markets.

12. Studying the application of game theory in strategic decision-making.

13. Investigating the use of mathematical modeling in epidemiology.

14. Analyzing the properties of algebraic structures in coding theory.

15. Studying the optimization of algorithms for image processing.

16. Investigating the use of number theory in cryptography.

17. Analyzing the behavior of mathematical models in climate prediction.

Earth Sciences

Here are some quantitative research topics for stem students in earth science:

1. Investigating the impact of volcanic eruptions on climate patterns.

2. Analyzing the behavior of earthquakes along tectonic plate boundaries.

3. Studying the geomorphology of river systems and erosion.

4. Investigating the use of remote sensing in monitoring wildfires.

5. Analyzing the effects of glacier melt on sea-level rise.

6. Studying the impact of ocean currents on weather patterns.

7. Investigating the use of geothermal energy in renewable power generation.

8. Analyzing the behavior of tsunamis and their destructive potential.

9. Studying the impact of soil erosion on agricultural productivity.

10. Investigating the use of geological data in mineral resource exploration.

11. Analyzing the effects of climate change on coastal erosion.

12. Studying the geomagnetic field and its role in navigation.

13. Investigating the use of radar technology in weather forecasting.

14. Analyzing the behavior of landslides and their triggers.

15. Studying the impact of groundwater depletion on aquifer systems.

16. Investigating the use of GIS (Geographic Information Systems) in land-use planning.

17. Analyzing the effects of urbanization on heat island formation.

Health Sciences and Medicine

Here are some quantitative research topics for stem students in health science and medicine:

1. Investigating the effectiveness of telemedicine in improving healthcare access.

2. Analyzing the impact of personalized medicine in cancer treatment.

3. Studying the epidemiology of infectious diseases and their spread.

4. Investigating the use of wearable devices in monitoring patient health.

5. Analyzing the effects of nutrition and exercise on metabolic health.

6. Studying the impact of genetics in predicting disease susceptibility.

7. Investigating the use of artificial intelligence in medical diagnosis.

8. Analyzing the behavior of pharmaceutical drugs in clinical trials.

9. Studying the effectiveness of mental health interventions in schools.

10. Investigating the use of gene editing technologies in treating genetic disorders.

11. Analyzing the properties of medical imaging techniques for early disease detection.

12. Studying the impact of vaccination campaigns on public health.

13. Investigating the use of regenerative medicine in tissue repair.

14. Analyzing the behavior of pathogens in antimicrobial resistance.

15. Studying the epidemiology of chronic diseases like diabetes and heart disease.

16. Investigating the use of bioinformatics in genomics research.

17. Analyzing the effects of environmental factors on health outcomes.

Quantitative research is the backbone of STEM fields, providing the tools and methodologies needed to explore, understand, and innovate in the world of science and technology . As STEM students, embracing quantitative research not only enhances your analytical skills but also equips you to address complex real-world challenges. With the extensive list of 155+ quantitative research topics for stem students provided in this blog, you have a starting point for your own STEM research journey. Whether you’re interested in biology, chemistry, physics, engineering, or any other STEM discipline, there’s a wealth of quantitative research topics waiting to be explored. So, roll up your sleeves, grab your lab coat or laptop, and embark on your quest for knowledge and discovery in the exciting world of STEM.

I hope you enjoyed this blog post about quantitative research topics for stem students.

Related Posts

8 easiest programming language to learn for beginners.

There are so many programming languages you can learn. But if you’re looking to start with something easier. We bring to you a list of…

10 Online Tutoring Help Benefits

Do you need a computer science assignment help? Get the best quality assignment help from computer science tutors at affordable prices. They always presented to help…

189+ Good Quantitative Research Topics For STEM Students

Quantitative research is an essential part of STEM (Science, Technology, Engineering, and Mathematics) fields. It involves collecting and analyzing numerical data to answer research questions and test hypotheses. 

In 2023, STEM students have a wealth of exciting research opportunities in various disciplines. Whether you’re an undergraduate or graduate student, here are quantitative research topics to consider for your next project.

If you are looking for the best list of quantitative research topics for stem students, then you can check the given list in each field. It offers STEM students numerous opportunities to explore and contribute to their respective fields in 2023 and beyond. 

Whether you’re interested in astrophysics, biology, engineering, mathematics, or any other STEM field.

Also Read: Most Exciting Qualitative Research Topics For Students

What Is Quantitative Research

Table of Contents

Quantitative research is a type of research that focuses on the organized collection, analysis, and evaluation of numerical data to answer research questions, test theories, and find trends or connections between factors. It is an organized, objective way to do study that uses measurable data and scientific methods to come to results.

Quantitative research is often used in many areas, such as the natural sciences, social sciences, economics, psychology, education, and market research. It gives useful information about patterns, trends, cause-and-effect relationships, and how often things happen. Quantitative tools are used by researchers to answer questions like “How many?” and “How often?” “Is there a significant difference?” or “What is the relationship between the variables?”

In comparison to quantitative research, qualitative research uses non-numerical data like conversations, notes, and open-ended surveys to understand and explore the ideas, experiences, and points of view of people or groups. Researchers often choose between quantitative and qualitative methods based on their research goals, questions, and the type of thing they are studying.

How To Choose Quantitative Research Topics For STEM

Here’s a step-by-step guide on how to choose quantitative research topics for STEM:

Step 1:- Identify Your Interests and Passions

Start by reflecting on your personal interests within STEM. What areas or subjects in STEM excite you the most? Choosing a topic you’re passionate about will keep you motivated throughout the research process.

Step 2:- Review Coursework and Textbooks

Look through your coursework, textbooks, and class notes. Identify concepts, theories, or areas that you found particularly intriguing or challenging. These can be a source of potential research topics.

Step 3:- Consult with Professors and Advisors

Discuss your research interests with professors, academic advisors, or mentors. They can provide valuable insights, suggest relevant topics, and guide you toward areas with research opportunities.

Step 4:- Read Recent Literature

Explore recent research articles, journals, and publications in STEM fields. This will help you identify current trends, gaps in knowledge, and areas where further research is needed.

Step 5:- Narrow Down Your Focus

Once you have a broad area of interest, narrow it down to a specific research focus. Consider questions like:

• What specific problem or phenomenon do you want to investigate?
• Are there unanswered questions or controversies in this area?
• What impact could your research have on the field or society?

Step 6:- Consider Resources and Access

Assess the resources available to you, including access to laboratories, equipment, databases, and funding. Ensure that your chosen topic aligns with the resources you have or can access.

Step 7:- Think About Practicality

Consider the feasibility of conducting research on your chosen topic. Are the data readily available, or will you need to collect data yourself? Can you complete the research within your available time frame?

Step 8:- Define Your Research Question

Formulate a clear and specific research question or hypothesis. Your research question should guide your entire study and provide a focus for your data collection and analysis.

Step 9:- Conduct a Literature Review

Dive deeper into the existing literature related to your chosen topic. This will help you understand the current state of research, identify gaps, and refine your research question.

Step 10:- Consider the Impact

Think about the potential impact of your research. How does your topic contribute to the advancement of knowledge in your field? Does it have practical applications or implications for society?

Step 11:- Brainstorm Research Methods

Determine the quantitative research methods and data collection techniques you plan to use. Consider whether you’ll conduct experiments, surveys, data analysis, simulations, or use existing datasets.

Step 12:- Seek Feedback

Share your research topic and ideas with peers, advisors, or mentors. They can provide valuable feedback and help you refine your research focus.

Step 13:- Assess Ethical Considerations

Consider ethical implications related to your research, especially if it involves human subjects, sensitive data, or potential environmental impacts. Ensure that your research adheres to ethical guidelines.

Step 14:- Finalize Your Research Topic

Once you’ve gone through these steps, finalize your research topic. Write a clear and concise research proposal that outlines your research question, objectives, methods, and expected outcomes.

Step 15:- Stay Open to Adjustments

Be open to adjusting your research topic as you progress. Sometimes, new insights or challenges may lead you to refine or adapt your research focus.

Following are the most interesting quantitative research topics for stem students. These are given below.

Quantitative Research Topics In Physics and Astronomy

• Quantum Computing Algorithms : Investigate new algorithms for quantum computers and their potential applications.
• Dark Matter Detection Methods : Explore innovative approaches to detect dark matter particles.
• Quantum Teleportation : Study the principles and applications of quantum teleportation.
• Exoplanet Characterization : Analyze data from telescopes to characterize exoplanets.
• Nuclear Fusion Modeling : Create mathematical models for nuclear fusion reactions.
• Superconductivity at High Temperatures : Research the properties and applications of high-temperature superconductors.
• Gravitational Wave Analysis : Analyze gravitational wave data to study astrophysical phenomena.
• Black Hole Thermodynamics : Investigate the thermodynamics of black holes and their entropy.

Quantitative Research Topics In Biology and Life Sciences

• Genome-Wide Association Studies (GWAS) : Conduct GWAS to identify genetic factors associated with diseases.
• Pharmacokinetics and Pharmacodynamics : Study drug interactions in the human body.
• Ecological Modeling : Model ecosystems to understand population dynamics.
• Protein Folding : Research the kinetics and thermodynamics of protein folding.
• Cancer Epidemiology : Analyze cancer incidence and risk factors in specific populations.
• Neuroimaging Analysis : Develop algorithms for analyzing brain imaging data.
• Evolutionary Genetics : Investigate evolutionary patterns using genetic data.
• Stem Cell Differentiation : Study the factors influencing stem cell differentiation.

Engineering and Technology Quantitative Research Topics

• Renewable Energy Efficiency : Optimize the efficiency of solar panels or wind turbines.
• Aerodynamics of Drones : Analyze the aerodynamics of drone designs.
• Autonomous Vehicle Safety : Evaluate safety measures for autonomous vehicles.
• Machine Learning in Robotics : Implement machine learning algorithms for robot control.
• Blockchain Scalability : Research methods to scale blockchain technology.
• Quantum Computing Hardware : Design and test quantum computing hardware components.
• IoT Security : Develop security protocols for the Internet of Things (IoT).
• 3D Printing Materials Analysis : Study the mechanical properties of 3D-printed materials.

Quantitative Research Topics In Mathematics and Statistics

Following are the best Quantitative Research Topics For STEM Students in mathematics and statistics.

• Prime Number Distribution : Investigate the distribution of prime numbers.
• Graph Theory Algorithms : Develop algorithms for solving graph theory problems.
• Statistical Analysis of Financial Markets : Analyze financial data and market trends.
• Number Theory Research : Explore unsolved problems in number theory.
• Bayesian Machine Learning : Apply Bayesian methods to machine learning models.
• Random Matrix Theory : Study the properties of random matrices in mathematics and physics.
• Topological Data Analysis : Use topology to analyze complex data sets.
• Quantum Algorithms for Optimization : Research quantum algorithms for optimization problems.

Experimental Quantitative Research Topics In Science and Earth Sciences

• Climate Change Modeling : Develop climate models to predict future trends.
• Biodiversity Conservation Analysis : Analyze data to support biodiversity conservation efforts.
• Geographic Information Systems (GIS) : Apply GIS techniques to solve environmental problems.
• Oceanography and Remote Sensing : Use satellite data for oceanographic research.
• Air Quality Monitoring : Develop sensors and models for air quality assessment.
• Hydrological Modeling : Study the movement and distribution of water resources.
• Volcanic Activity Prediction : Predict volcanic eruptions using quantitative methods.
• Seismology Data Analysis : Analyze seismic data to understand earthquake patterns.

Chemistry and Materials Science Quantitative Research Topics

• Nanomaterial Synthesis and Characterization : Research the synthesis and properties of nanomaterials.
• Chemoinformatics : Analyze chemical data for drug discovery and materials science.
• Quantum Chemistry Simulations : Perform quantum simulations of chemical reactions.
• Materials for Renewable Energy : Investigate materials for energy storage and conversion.
• Catalysis Kinetics : Study the kinetics of chemical reactions catalyzed by materials.
• Polymer Chemistry : Research the properties and applications of polymers.
• Analytical Chemistry Techniques : Develop new analytical techniques for chemical analysis.
• Sustainable Chemistry : Explore green chemistry approaches for sustainable materials.

Computer Science and Information Technology Topics

• Natural Language Processing (NLP) : Work on NLP algorithms for language understanding.
• Cybersecurity Analytics : Analyze cybersecurity threats and vulnerabilities.
• Big Data Analytics : Apply quantitative methods to analyze large data sets.
• Machine Learning Fairness : Investigate bias and fairness issues in machine learning models.
• Human-Computer Interaction (HCI) : Study user behavior and interaction patterns.
• Software Performance Optimization : Optimize software applications for performance.
• Distributed Systems Analysis : Analyze the performance of distributed computing systems.
• Bioinformatics Data Mining : Develop algorithms for mining biological data.

Good Quantitative Research Topics Students In Medicine and Healthcare

• Clinical Trial Data Analysis : Analyze clinical trial data to evaluate treatment effectiveness.
• Epidemiological Modeling : Model disease spread and intervention strategies.
• Healthcare Data Analytics : Analyze healthcare data for patient outcomes and cost reduction.
• Medical Imaging Algorithms : Develop algorithms for medical image analysis.
• Genomic Medicine : Apply genomics to personalized medicine approaches.
• Telemedicine Effectiveness : Study the effectiveness of telemedicine in healthcare delivery.
• Health Informatics : Analyze electronic health records for insights into patient care.

Agriculture and Food Sciences Topics

• Precision Agriculture : Use quantitative methods for optimizing crop production.
• Food Safety Analysis : Analyze food safety data and quality control.
• Aquaculture Sustainability : Research sustainable practices in aquaculture.
• Crop Disease Modeling : Model the spread of diseases in agricultural crops.
• Climate-Resilient Agriculture : Develop strategies for agriculture in changing climates.
• Food Supply Chain Optimization : Optimize food supply chain logistics.
• Soil Health Assessment : Analyze soil data for sustainable land management.

Social Sciences with Quantitative Approaches

• Educational Data Mining : Analyze educational data for improving learning outcomes.
• Sociodemographic Surveys : Study social trends and demographics using surveys.
• Psychometrics : Develop and validate psychological measurement instruments.
• Political Polling Analysis : Analyze political polling data and election trends.
• Economic Modeling : Develop economic models for policy analysis.
• Urban Planning Analytics : Analyze data for urban planning and infrastructure.
• Climate Policy Evaluation : Evaluate the impact of climate policies on society.

Environmental Engineering Quantitative Research Topics

• Water Quality Assessment : Analyze water quality data for environmental monitoring.
• Waste Management Optimization : Optimize waste collection and recycling programs.
• Environmental Impact Assessments : Evaluate the environmental impact of projects.
• Air Pollution Modeling : Model the dispersion of air pollutants in urban areas.
• Sustainable Building Design : Apply quantitative methods to sustainable architecture.

Quantitative Research Topics Robotics and Automation

• Robotic Swarm Behavior : Study the behavior of robot swarms in different tasks.
• Autonomous Drone Navigation : Develop algorithms for autonomous drone navigation.
• Humanoid Robot Control : Implement control algorithms for humanoid robots.
• Robotic Grasping and Manipulation : Study robotic manipulation techniques.
• Reinforcement Learning for Robotics : Apply reinforcement learning to robotic control.

Quantitative Research Topics Materials Engineering

• Additive Manufacturing Process Optimization : Optimize 3D printing processes.
• Smart Materials for Aerospace : Research smart materials for aerospace applications.
• Nanostructured Materials for Energy Storage : Investigate energy storage materials.
• Corrosion Prevention : Develop corrosion-resistant materials and coatings.

Nuclear Engineering Quantitative Research Topics

• Nuclear Reactor Safety Analysis : Study safety aspects of nuclear reactor designs.
• Nuclear Fuel Cycle Analysis : Analyze the nuclear fuel cycle for efficiency.
• Radiation Shielding Materials : Research materials for radiation protection.

Quantitative Research Topics In Biomedical Engineering

• Medical Device Design and Testing : Develop and test medical devices.
• Biomechanics Analysis : Analyze biomechanics in sports or rehabilitation.
• Biomaterials for Medical Implants : Investigate materials for medical implants.

Good Quantitative Research Topics Chemical Engineering

• Chemical Process Optimization : Optimize chemical manufacturing processes.
• Industrial Pollution Control : Develop strategies for pollution control in industries.
• Chemical Reaction Kinetics : Study the kinetics of chemical reactions in industries.

Best Quantitative Research Topics In Renewable Energy

• Energy Storage Systems : Research and optimize energy storage solutions.
• Solar Cell Efficiency : Improve the efficiency of photovoltaic cells.
• Wind Turbine Performance Analysis : Analyze and optimize wind turbine designs.

Brilliant Quantitative Research Topics In Astronomy and Space Sciences

• Astrophysical Simulations : Simulate astrophysical phenomena using numerical methods.
• Spacecraft Trajectory Optimization : Optimize spacecraft trajectories for missions.
• Exoplanet Detection Algorithms : Develop algorithms for exoplanet detection.

Quantitative Research Topics In Psychology and Cognitive Science

• Cognitive Psychology Experiments : Conduct quantitative experiments in cognitive psychology.
• Emotion Recognition Algorithms : Develop algorithms for emotion recognition in AI.
• Neuropsychological Assessments : Create quantitative assessments for brain function.

Geology and Geological Engineering Quantitative Research Topics

• Geological Data Analysis : Analyze geological data for mineral exploration.
• Geological Hazard Prediction : Predict geological hazards using quantitative models.

Top Quantitative Research Topics In Forensic Science

• Forensic Data Analysis : Analyze forensic evidence using quantitative methods.
• Crime Pattern Analysis : Study crime patterns and trends in urban areas.

Great Quantitative Research Topics In Cybersecurity

• Network Intrusion Detection : Develop quantitative methods for intrusion detection.
• Cryptocurrency Analysis : Analyze blockchain data and cryptocurrency trends.

Mathematical Biology Quantitative Research Topics

• Epidemiological Modeling : Model disease spread and control in populations.
• Population Genetics : Analyze genetic data to understand population dynamics.

Quantitative Research Topics In Chemical Analysis

• Analytical Chemistry Methods : Develop quantitative methods for chemical analysis.
• Spectroscopy Analysis : Analyze spectroscopic data for chemical identification.

Mathematics Education Quantitative Research Topics

• Mathematics Curriculum Analysis : Analyze curriculum effectiveness in mathematics education.
• Mathematics Assessment Development : Develop quantitative assessments for mathematics skills.

Quantitative Research Topics In Social Research

• Social Network Analysis : Analyze social network structures and dynamics.
• Survey Research : Conduct quantitative surveys on social issues and trends.

Quantitative Research Topics In Computational Neuroscience

• Neural Network Modeling : Model neural networks and brain functions computationally.
• Brain Connectivity Analysis : Analyze functional and structural brain connectivity.

Best Topics In Transportation Engineering

• Traffic Flow Modeling : Model and optimize traffic flow in urban areas.
• Public Transportation Efficiency : Analyze the efficiency of public transportation systems.

Good Quantitative Research Topics In Energy Economics

• Energy Policy Analysis : Evaluate the economic impact of energy policies.
• Renewable Energy Cost-Benefit Analysis : Assess the economic viability of renewable energy projects.

Quantum Information Science

• Quantum Cryptography Protocols : Develop and analyze quantum cryptography protocols.
• Quantum Key Distribution : Study the security of quantum key distribution systems.

Human Genetics

• Genome Editing Ethics : Investigate ethical issues in genome editing technologies.
• Population Genomics : Analyze genomic data for population genetics research.

Marine Biology

• Coral Reef Health Assessment : Quantitatively assess the health of coral reefs.
• Marine Ecosystem Modeling : Model marine ecosystems and biodiversity.

Data Science and Machine Learning

• Machine Learning Explainability : Develop methods for explaining machine learning models.
• Data Privacy in Machine Learning : Study privacy issues in machine learning applications.
• Deep Learning for Image Analysis : Develop deep learning models for image recognition.

Environmental Engineering

Robotics and automation, materials engineering, nuclear engineering, biomedical engineering, chemical engineering, renewable energy, astronomy and space sciences, psychology and cognitive science, geology and geological engineering, forensic science, cybersecurity, mathematical biology, chemical analysis, mathematics education, quantitative social research, computational neuroscience, quantitative research topics in transportation engineering, quantitative research topics in energy economics, topics in quantum information science, amazing quantitative research topics in human genetics, quantitative research topics in marine biology, what is a common goal of qualitative and quantitative research.

A common goal of both qualitative and quantitative research is to generate knowledge and gain a deeper understanding of a particular phenomenon or topic. However, they approach this goal in different ways:

1. Understanding a Phenomenon

Both types of research aim to understand and explain a specific phenomenon, whether it’s a social issue, a natural process, a human behavior, or a complex event.

2. Testing Hypotheses

Both qualitative and quantitative research can involve hypothesis testing. While qualitative research may not use statistical hypothesis tests in the same way as quantitative research, it often tests hypotheses or research questions by examining patterns and themes in the data.

3. Contributing to Knowledge

Researchers in both approaches seek to contribute to the body of knowledge in their respective fields. They aim to answer important questions, address gaps in existing knowledge, and provide insights that can inform theory, practice, or policy.

4. Informing Decision-Making

Research findings from both qualitative and quantitative studies can be used to inform decision-making in various domains, whether it’s in academia, government, industry, healthcare, or social services.

5. Enhancing Understanding

Both approaches strive to enhance our understanding of complex phenomena by systematically collecting and analyzing data. They aim to provide evidence-based explanations and insights.

6. Application

Research findings from both qualitative and quantitative studies can be applied to practical situations. For example, the results of a quantitative study on the effectiveness of a new drug can inform medical treatment decisions, while qualitative research on customer preferences can guide marketing strategies.

7. Contributing to Theory

In academia, both types of research contribute to the development and refinement of theories in various disciplines. Quantitative research may provide empirical evidence to support or challenge existing theories, while qualitative research may generate new theoretical frameworks or perspectives.

Conclusion – Quantitative Research Topics For STEM Students

So, selecting a quantitative research topic for STEM students is a pivotal decision that can shape the trajectory of your academic and professional journey. The process involves a thoughtful exploration of your interests, a thorough review of the existing literature, consideration of available resources, and the formulation of a clear and specific research question.

Your chosen topic should resonate with your passions, align with your academic or career goals, and offer the potential to contribute to the body of knowledge in your STEM field. Whether you’re delving into physics, biology, engineering, mathematics, or any other STEM discipline, the right research topic can spark curiosity, drive innovation, and lead to valuable insights.

Moreover, quantitative research in STEM not only expands the boundaries of human knowledge but also has the power to address real-world challenges, improve technology, and enhance our understanding of the natural world. It is a journey that demands dedication, intellectual rigor, and an unwavering commitment to scientific inquiry.

What is quantitative research in STEM?

Quantitative research in this context is designed to improve our understanding of the science system’s workings, structural dependencies and dynamics.

What are good examples of quantitative research?

Surveys and questionnaires serve as common examples of quantitative research. They involve collecting data from many respondents and analyzing the results to identify trends, patterns

What are the 4 C’s in STEM?

They became known as the “Four Cs” — critical thinking, communication, collaboration, and creativity.

Similar Articles

13 Best Tips To Write An Assignment

Whenever the new semester starts, you will get a lot of assignment writing tasks. Now you enter the new academic…

How To Do Homework Fast – 11 Tips To Do Homework Fast

Homework is one of the most important parts that have to be done by students. It has been around for…

Leave a Comment Cancel Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed .

110+ Best Quantitative Research Topics for STEM Students

Explore engaging quantitative research topics for STEM students. This guide covers the basics, popular areas, and tips for success to help you make an impact.

Quantitative research uses data and numbers to uncover insights. Whether you’re into computer science, engineering, or natural sciences, it’s a powerful tool for discovery.

Ready to get started? Let’s dive in!

Table of Contents

Quantitative Research Topics for STEM Students PDF

Understanding quantitative research.

Quantitative research uses numerical data and statistical methods to find patterns and draw conclusions.

Key Characteristics

• Objectivity: Minimizes personal bias.
• Numerical Data: Focuses on measurable data.
• Generalizability: Makes broad conclusions from samples.
• Structured Design: Follows a set research plan.
• Statistical Analysis: Uses statistics to analyze data.

Quantitative vs. Qualitative Research

• Quantitative: Deals with numbers and statistical analysis.
• Qualitative: Explores non-numerical data like text and images.

The Research Process

• Identify the Problem: Define the research question.
• Formulate Hypotheses: Create testable statements.
• Collect Data: Use surveys, experiments, or observations.
• Analyze Data: Apply statistical methods.
• Interpret Findings: Draw conclusions based on results.

These basics help in designing and conducting effective quantitative research.

Popular Quantitative Research Methods

Check out popular quantitative research methods:-

• Description: Collect data via questionnaires or interviews.
• Use: Measure attitudes, opinions, or behaviors.
• Example: Assessing student satisfaction with online learning.

Experiments

• Description: Manipulate variables to see effects.
• Use: Determine cause-and-effect relationships.
• Example: Testing a new drug’s effectiveness.

Correlational Studies

• Description: Examine relationships between variables.
• Use: Identify patterns and trends.
• Example: Linking air pollution to respiratory issues.

Causal-Comparative Research

• Description: Compare groups without random assignment.
• Use: Explore cause-and-effect when experiments aren’t possible.
• Example: Comparing student performance across socioeconomic backgrounds.

Observational Studies

• Description: Observe and record behavior in natural settings.
• Use: Study behaviors not suitable for experiments.
• Example: Observing animal behavior in the wild.

Content Analysis

• Description: Analyze text or visual content for data.
• Use: Study media or document content.
• Example: Analyzing trends in scientific papers.

Longitudinal Studies

• Description: Collect data from the same group over time.
• Use: Track changes and developments.
• Example: Monitoring plant growth under various conditions.

These methods help researchers choose the best approach for their questions.

Quantitative Research Topics for STEM Students

Check out quantitative research topics for STEM students:-

• Friction : Compare friction on different surfaces.
• Light Diffraction : Measure light patterns through slits.
• Heat Engines : Test efficiency with different fluids.
• Magnetism : Study magnetic field strength in wires.
• Quantum : Analyze electron patterns in a slit experiment.
• Sound Absorption : Test materials for sound absorption.
• Gravity : Study forces in planetary motion.
• Fluid Flow : Measure flow rates in different conditions.
• Radioactivity : Compare decay rates of isotopes.
• Metal Expansion : Measure how metals expand when heated.
• Reaction Rates : Study catalysts’ effect on reaction speed.
• Gas Solubility : Test gas dissolving in liquids at different temps.
• Battery Efficiency : Compare power in different battery types.
• Reaction Yield : Measure product yield in reactions.
• Buffer Solutions : Test buffers’ ability to resist pH changes.
• Organic Reactions : Study reaction speed in organic compounds.
• Equilibrium : Analyze shifts in chemical equilibrium.
• Adsorption : Test adsorption on solid surfaces.
• Heat Changes : Measure energy in chemical reactions.
• Polymer Size : Compare sizes of different polymers.
• Gene Linkage : Study gene inheritance patterns.
• Antibiotics : Test bacteria growth with antibiotics.
• Invasive Species : Measure impact on native species.
• BMI vs Heart Rate : Compare BMI with heart rates.
• Blood Glucose : Measure blood sugar before/after meals.
• Photosynthesis : Test plant growth under various light.
• Reaction Times : Compare responses to visual and sound stimuli.
• Cell Growth : Measure cell growth under different nutrients.
• Vaccine Response : Test antibody production after vaccines.
• Animal Behavior : Study stress effects on animal behavior.

Environmental Science

• Soil Pollution : Measure heavy metals in soil.
• Glacier Melt : Track glacier melting rates.
• Energy Use : Compare renewable energy in homes.
• Composting : Test compost methods for waste reduction.
• Water Oxygen : Measure oxygen in water bodies.
• Air Pollution : Compare urban and rural air quality.
• Species Richness : Measure species diversity in forests.
• Carbon Storage : Compare carbon storage in trees.
• Soil Erosion : Measure soil loss in farms.
• Solar Panels : Test solar efficiency in different weather.

Engineering

• Material Strength : Test building materials’ strength.
• Power Loss : Measure power loss in transmission lines.
• Gear Efficiency : Compare efficiency of gear types.
• Road Surfaces : Study effects of road materials on fuel use.
• Software Bugs : Count bugs in different coding languages.
• Chemical Reactors : Test reactor yields at various temps.
• Airfoil Lift : Measure lift in different wing designs.
• Prosthetics : Compare materials used in prosthetics.
• Water Treatment : Test effectiveness of water treatment.
• Robot Accuracy : Measure precision in robotic arms.

Mathematics

• Probability : Analyze outcome probabilities in experiments.
• Cooling Rates : Measure cooling rates using calculus.
• Cryptography : Study algebra in encryption methods.
• Shape Geometry : Calculate area and perimeter of shapes.
• Population Models : Model population growth rates.
• Prime Numbers : Analyze prime number distribution.
• Graphics : Test matrix operations in computer graphics.
• Combinations : Study combinations in optimization problems.
• Game Strategy : Analyze game strategies mathematically.
• Resource Allocation : Optimize resources in production.

Computer Science

• Data Patterns : Analyze data clusters in large datasets.
• AI Accuracy : Test machine learning models’ precision.
• Cyber-Attacks : Measure attack frequency on networks.
• Algorithm Performance : Compare sorting algorithm speeds.
• User Interface : Test user satisfaction in different designs.
• Object Detection : Measure accuracy in computer vision.
• Sentiment Analysis : Test algorithms in sentiment detection.
• Blockchain Speed : Measure transaction speeds in blockchain.
• Encryption : Test security of different encryption methods.
• Big Data : Analyze performance in big data systems.

Medicine and Health

• Disease Spread : Study disease spread in dense populations.
• Drug Dosage : Measure drug effectiveness at different doses.
• Vaccine Impact : Test vaccine success rates.
• Diet Impact : Measure diet effects on cholesterol.
• Imaging Accuracy : Compare diagnostic imaging methods.
• Heart Rate : Study heart rate variability in stress.
• Cancer Treatment : Compare effectiveness of cancer treatments.
• Surgery Recovery : Measure recovery time in joint surgeries.
• Mental Health : Study anxiety and depression rates.
• Gene Expression : Analyze gene activity in disorders.

Astronomy and Space Science

• Star Brightness : Measure star brightness and distance.
• Impact Craters : Study craters and asteroid sizes.
• Universe Expansion : Analyze cosmic background radiation.
• Space Propulsion : Test deep space propulsion systems.
• Binary Stars : Study orbits in binary star systems.
• Exoplanet Detection : Measure planet detection accuracy.
• Dark Matter : Analyze dark matter in galaxies.
• Solar Radiation : Track solar radiation changes.
• Solar Flares : Study effects of solar flares on satellites.
• Space Chemistry : Measure chemicals in space clouds.

These topics are now more concise while still providing a clear focus for quantitative research.

Tips for Choosing a Research Topic

After brainstorming research topics, refine your ideas with these steps:

Narrow Your Topic

• Define specific research questions.
• Determine the scope and depth of your study.
• Identify key variables to measure.

Literature Review

• Explore existing research to find gaps.
• Review how previous studies were done.
• Identify relevant theories to support your work.

Feasibility Assessment

• Check if you have access to necessary data.
• Evaluate time and resource requirements.
• Secure any needed approvals or permissions.

Following these steps will help turn a broad idea into a focused research project.

Conducting Quantitative Research

Check out the best tips for coducting quantitative research:-

Data Collection Methods

Surveys: use questionnaires or interviews..

• Pros: Efficient for large data.
• Cons: Risk of bias, less detail.

Experiments: Change variables to see effects.

• Pros: Shows cause-and-effect.
• Cons: Time-consuming, costly, ethical issues.

Observations: Record behavior systematically.

• Pros: Natural data, captures unexpected behavior.
• Cons: Observer bias, time-consuming.

Data Analysis Techniques

• Use: Stats analysis, hypothesis testing.
• Use: Data manipulation, visualization, machine learning.

Research Ethics and Data Privacy

• Informed Consent: Ensure participants agree voluntarily.
• Data Privacy: Protect confidentiality.
• Data Integrity: Maintain accuracy and avoid misconduct.

Writing a Research Paper

• Clear Writing: Use concise academic language.
• Structure: Follow standard format (intro, methods, results, discussion).
• Data Visualization: Use graphs and charts.
• Citation Style: Follow APA or MLA.
• Proofreading: Check for clarity and grammar.

These steps help ensure rigorous, ethical research and clear communication.

Ethical Considerations in Quantitative Research

Ethical conduct is essential in research for protecting participants, ensuring integrity, and building trust.

Importance of Ethical Research

• Protects Participants: Avoids harm and privacy issues.
• Ensures Integrity: Keeps findings reliable.
• Builds Trust: Gains public confidence.

Informed Consent

• Clear Info: Explain the study clearly.
• Voluntary: Participation should be free of pressure.
• Right to Withdraw: Participants can leave anytime.

Data Privacy

• Confidentiality: Keep identities and data secure.
• Anonymity: Use data without personal identifiers when possible.
• Security: Protect data from unauthorized access.

Research Integrity

• Honesty: Report findings accurately.
• Avoid Plagiarism: Credit sources properly.
• Manage Data: Keep records organized and complete.

Adhering to these principles ensures ethical and trustworthy research.

Challenges and Opportunities in Quantitative Research

Quantitative research has its challenges but can be highly effective with the right approach.

• Data Quality: Ensure accuracy and handle errors.
• Sample Size: Find the right balance—avoid too small or too large.
• Causality: Correlation doesn’t equal causation.
• Generalizability: Ensure findings apply broadly.

Big Data and Advanced Analytics

• Vast Datasets: Discover new patterns.
• Advanced Analytics: Use AI and machine learning for insights.
• Predictive Modeling: Forecast trends and guide decisions.

Interdisciplinary Collaboration

• Diverse Perspectives: Gain fresh insights.
• Complementary Expertise: Combine strengths from different fields.
• Real-World Impact: Increase practical applications.

By tackling these challenges and leveraging new tools, researchers can achieve meaningful results.

Overcoming Challenges in Quantitative Research

Quantitative research can face challenges, but these strategies can help:

Data Quality

• Clean Data: Fix errors and inconsistencies.
• Handle Missing Data: Use statistical methods for imputation.
• Validate Data: Cross-check with other sources.

Sample Size

• Power Analysis: Determine the right sample size.
• Sampling Techniques: Use probability methods.
• Combine Data: Aggregate data from various sources.
• Randomization: Randomly assign participants.
• Control Factors: Manage confounding variables.
• Longitudinal Studies: Track changes over time.

Generalizability

• Representative Sample: Reflect the target population.
• Replicate Studies: Test across different settings.
• Strong Framework: Base findings on solid theory.

Big Data and Analytics

• Manage Data: Efficiently store and access data.
• Mine Data: Extract valuable insights.
• Apply Machine Learning: Discover patterns and make predictions.

Using these strategies can help address challenges and improve research outcomes.

Real-world Examples of Successful Quantitative Research Projects

Quantitative research drives progress in many fields. Here are some examples:

Medicine and Healthcare

• Clinical Trials: Test new treatments.
• Epidemiological Studies: Find disease risk factors.
• Health Economics: Assess healthcare costs and benefits.

Business and Economics

• Market Research: Study consumer behavior.
• Financial Modeling: Forecast market trends.
• Operations Research: Improve supply chains.

Social Sciences

• Education Research: Evaluate teaching methods .
• Political Science: Analyze voting and public opinion.
• Sociology: Examine social trends.

Natural Sciences

• Physics: Test scientific theories.
• Chemistry: Study chemical reactions.
• Biology: Research genetic patterns.
• Product Testing: Check product performance.
• Structural Analysis: Assess building strength.
• Process Optimization: Enhance manufacturing efficiency.

These examples highlight the diverse applications and impact of quantitative research.

Collaborate with Other Researchers

Collaboration is crucial in research. Here’s how to do it effectively:

Finding Collaborators

• Shared Interests: Look for those with similar research topics.
• Different Skills: Seek out varied expertise.
• Institutional Links: Partner within or outside your institution.
• Online Networks: Use research sites and social media.

Building Collaborations

• Communicate Clearly: Keep discussions open and honest.
• Set Goals: Define objectives and expectations.
• Define Roles: Outline each person’s responsibilities.
• Handle Conflicts: Plan for resolving disagreements.
• Build Trust: Foster respectful relationships.

Challenges to Address

• Manage Time: Balance joint and solo work.
• Clarify Ownership: Agree on who owns the research.
• Respect Differences: Manage cultural and background differences.
• Authorship Rules: Decide on publication credit.

Tools to Use

• Collaboration Software: Use Google Drive, Slack , or Teams.
• Project Management: Organize with Trello or Asana.
• Video Calls: Meet via Zoom or Skype.

Effective collaboration leads to productive research.

Quantitative Research Topics for STEM Students in the Philippines

Check out quantitative research topics for STEM students in the Philippines

Agriculture and Food Science

• Climate Impact on Rice : Study how climate change affects rice yields.
• Organic vs. Soil Health : Compare soil health in organic and conventional farming.
• Extension Programs : Evaluate agricultural extension program effectiveness.
• Aquaculture Benefits : Assess economic benefits of aquaculture.
• Sustainable Farming : Develop sustainable crop management methods.
• Organic Pest Control : Test organic pest control methods.
• Water Efficiency : Study water usage in farming.
• Fertilizer Effects : Compare soil health with different fertilizers.
• Food Security : Improve food security strategies.
• Agri-Tech : Explore technology in farming.

Information and Communications Technology (ICT)

• Digital Skills and Jobs : Study how digital skills affect jobs.
• Internet and Education : Analyze internet access and education.
• E-Learning Impact : Evaluate e-learning platforms.
• Digital Divide : Examine the digital divide’s effect on rural areas.
• Cybersecurity Education : Increase cybersecurity awareness.
• Social Media and Studies : Study social media’s impact on learning.
• Tech Access and Jobs : Compare tech access and job prospects.
• Learning Apps : Assess mobile learning apps.
• E-Governance : Investigate benefits of e-governance.
• Digital Training : Evaluate digital skills training.
• Deforestation and Wildlife : Study deforestation’s effect on wildlife.
• Pollution and Health : Analyze air pollution and health issues.
• Renewable Energy : Evaluate renewable energy’s effect on emissions.
• Climate and Erosion : Study climate change and coastal erosion.
• Biodiversity : Develop strategies to conserve biodiversity.
• Water Pollution : Investigate water pollution sources.
• Soil Erosion : Study land use and soil erosion.
• Plastic Waste : Analyze plastic waste impact on marine life.
• Renewable Adoption : Assess renewable energy adoption.
• Climate Adaptation : Explore climate adaptation strategies.
• Local Materials : Test local materials in earthquakes.
• Housing Efficiency : Evaluate energy efficiency in housing.
• Infrastructure Impact : Assess infrastructure’s effect on poverty.
• Energy Costs : Analyze costs of renewable energy projects.
• Building Materials : Research sustainable materials.
• Water Tech : Develop water conservation technologies.
• Smart Grids : Investigate smart grid benefits.
• Transportation Solutions : Explore urban transportation improvements.
• Disaster-Resistant Structures : Design structures for disasters.
• Green Certifications : Study green building certifications.

Medical and Health Sciences

• Disease Prevalence : Study non-communicable disease rates.
• Maternal Health : Evaluate programs reducing maternal deaths.
• Malnutrition Impact : Investigate malnutrition’s effect on growth.
• Healthcare Access : Analyze access based on socioeconomic status.
• Vaccination Impact : Assess vaccination’s role in disease prevention.
• Mental Health : Improve mental health awareness.
• Chronic Disease : Study chronic disease management.
• Health Tech : Explore healthcare technology.
• Nutrition Programs : Evaluate nutritional intervention effects.
• Health Education : Study health education program effectiveness.

Quantitative research is crucial in STEM fields, offering a structured way to study complex phenomena. By choosing a focused topic, using rigorous methods, and analyzing data effectively, students can make impactful contributions.

Success in quantitative research comes from curiosity, perseverance, and a drive to discover new knowledge. Embrace challenges as chances for growth and innovation.

Combining theory with practical application, your research can push the boundaries of knowledge and benefit society.

Related Posts

270+ Unique Cyber Security Research Topics For Students 

250+ Best Cloud Computing Research Topics for students 2024

Leave a comment cancel reply.

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Write my thesis
• Thesis writers
• Buy thesis papers
• Bachelor thesis
• Master's thesis
• Thesis editing services
• Thesis proofreading services
• Buy a thesis online
• Write my dissertation
• Dissertation proposal help
• Pay for dissertation
• Custom dissertation
• Dissertation help online
• Buy dissertation online
• Cheap dissertation
• Dissertation editing services
• Write my research paper
• Buy research paper online
• Pay for research paper
• Research paper help
• Order research paper
• Custom research paper
• Cheap research paper
• Research papers for sale
• Thesis subjects
• How It Works

55 Brilliant Research Topics For STEM Students

Primarily, STEM is an acronym for Science, Technology, Engineering, and Mathematics. It’s a study program that weaves all four disciplines for cross-disciplinary knowledge to solve scientific problems. STEM touches across a broad array of subjects as STEM students are required to gain mastery of four disciplines.

As a project-based discipline, STEM has different stages of learning. The program operates like other disciplines, and as such, STEM students embrace knowledge depending on their level. Since it’s a discipline centered around innovation, students undertake projects regularly. As a STEM student, your project could either be to build or write on a subject. Your first plan of action is choosing a topic if it’s written. After selecting a topic, you’ll need to determine how long a thesis statement should be .

Given that topic is essential to writing any project, this article focuses on research topics for STEM students. So, if you’re writing a STEM research paper or write my research paper , below are some of the best research topics for STEM students.

List of Research Topics For STEM Students

Quantitative research topics for stem students, qualitative research topics for stem students, what are the best experimental research topics for stem students, non-experimental research topics for stem students, capstone research topics for stem students, correlational research topics for stem students, scientific research topics for stem students, simple research topics for stem students, top 10 research topics for stem students, experimental research topics for stem students about plants, research topics for grade 11 stem students, research topics for grade 12 stem students, quantitative research topics for stem high school students, survey research topics for stem students, interesting and informative research topics for senior high school stem students.

Several research topics can be formulated in this field. They cut across STEM science, engineering, technology, and math. Here is a list of good research topics for STEM students.

• The effectiveness of online learning over physical learning
• The rise of metabolic diseases and their relationship to increased consumption
• How immunotherapy can improve prognosis in Covid-19 progression

For your quantitative research in STEM, you’ll need to learn how to cite a thesis MLA for the topic you’re choosing. Below are some of the best quantitative research topics for STEM students.

• A study of the effect of digital technology on millennials
• A futuristic study of a world ruled by robotics
• A critical evaluation of the future demand in artificial intelligence

There are several practical research topics for STEM students. However, if you’re looking for qualitative research topics for STEM students, here are topics to explore.

• An exploration into how microbial factories result in the cause shortage in raw metals
• An experimental study on the possibility of older-aged men passing genetic abnormalities to children
• A critical evaluation of how genetics could be used to help humans live healthier and longer.

Experimental research in STEM is a scientific research methodology that uses two sets of variables. They are dependent and independent variables that are studied under experimental research. Experimental research topics in STEM look into areas of science that use data to derive results.

Below are easy experimental research topics for STEM students.

• A study of nuclear fusion and fission
• An evaluation of the major drawbacks of Biotechnology in the pharmaceutical industry
• A study of single-cell organisms and how they’re capable of becoming an intermediary host for diseases causing bacteria

Unlike experimental research, non-experimental research lacks the interference of an independent variable. Non-experimental research instead measures variables as they naturally occur. Below are some non-experimental quantitative research topics for STEM students.

• Impacts of alcohol addiction on the psychological life of humans
• The popularity of depression and schizophrenia amongst the pediatric population
• The impact of breastfeeding on the child’s health and development

STEM learning and knowledge grow in stages. The older students get, the more stringent requirements are for their STEM research topic. There are several capstone topics for research for STEM students .

Below are some simple quantitative research topics for stem students.

• How population impacts energy-saving strategies
• The application of an Excel table processor capabilities for cost calculation
•  A study of the essence of science as a sphere of human activity

Correlations research is research where the researcher measures two continuous variables. This is done with little or no attempt to control extraneous variables but to assess the relationship. Here are some sample research topics for STEM students to look into bearing in mind how to cite a thesis APA style for your project.

• Can pancreatic gland transplantation cure diabetes?
• A study of improved living conditions and obesity
• An evaluation of the digital currency as a valid form of payment and its impact on banking and economy

There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students.

• A study of protease inhibitor and how it operates
• A study of how men’s exercise impacts DNA traits passed to children
• A study of the future of commercial space flight

If you’re looking for a simple research topic, below are easy research topics for STEM students.

• How can the problem of Space junk be solved?
• Can meteorites change our view of the universe?
• Can private space flight companies change the future of space exploration?

For your top 10 research topics for STEM students, here are interesting topics for STEM students to consider.

• A comparative study of social media addiction and adverse depression
• The human effect of the illegal use of formalin in milk and food preservation
• An evaluation of the human impact on the biosphere and its results
• A study of how fungus affects plant growth
• A comparative study of antiviral drugs and vaccine
• A study of the ways technology has improved medicine and life science
• The effectiveness of Vitamin D among older adults for disease prevention
• What is the possibility of life on other planets?
• Effects of Hubble Space Telescope on the universe
• A study of important trends in medicinal chemistry research

Below are possible research topics for STEM students about plants:

• How do magnetic fields impact plant growth?
• Do the different colors of light impact the rate of photosynthesis?
• How can fertilizer extend plant life during a drought?

Below are some examples of quantitative research topics for STEM students in grade 11.

• A study of how plants conduct electricity
• How does water salinity affect plant growth?
• A study of soil pH levels on plants

Here are some of the best qualitative research topics for STEM students in grade 12.

• An evaluation of artificial gravity and how it impacts seed germination
• An exploration of the steps taken to develop the Covid-19 vaccine
• Personalized medicine and the wave of the future

Here are topics to consider for your STEM-related research topics for high school students.

• A study of stem cell treatment
• How can molecular biological research of rare genetic disorders help understand cancer?
• How Covid-19 affects people with digestive problems

Below are some survey topics for qualitative research for stem students.

• How does Covid-19 impact immune-compromised people?
• Soil temperature and how it affects root growth
• Burned soil and how it affects seed germination

Here are some descriptive research topics for STEM students in senior high.

• The scientific information concept and its role in conducting scientific research
• The role of mathematical statistics in scientific research
• A study of the natural resources contained in oceans

Final Words About Research Topics For STEM Students

STEM topics cover areas in various scientific fields, mathematics, engineering, and technology. While it can be tasking, reducing the task starts with choosing a favorable topic. If you require external assistance in writing your STEM research, you can seek professional help from our experts.

Leave a Reply Cancel reply

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

• Knowledge Base

Methodology

• What Is Quantitative Research? | Definition, Uses & Methods

What Is Quantitative Research? | Definition, Uses & Methods

Published on June 12, 2020 by Pritha Bhandari . Revised on June 22, 2023.

Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations.

Quantitative research is the opposite of qualitative research , which involves collecting and analyzing non-numerical data (e.g., text, video, or audio).

Quantitative research is widely used in the natural and social sciences: biology, chemistry, psychology, economics, sociology, marketing, etc.

• What is the demographic makeup of Singapore in 2020?
• How has the average temperature changed globally over the last century?
• Does environmental pollution affect the prevalence of honey bees?
• Does working from home increase productivity for people with long commutes?

Table of contents

Quantitative research methods, quantitative data analysis, advantages of quantitative research, disadvantages of quantitative research, other interesting articles, frequently asked questions about quantitative research.

You can use quantitative research methods for descriptive, correlational or experimental research.

• In descriptive research , you simply seek an overall summary of your study variables.
• In correlational research , you investigate relationships between your study variables.
• In experimental research , you systematically examine whether there is a cause-and-effect relationship between variables.

Correlational and experimental research can both be used to formally test hypotheses , or predictions, using statistics. The results may be generalized to broader populations based on the sampling method used.

To collect quantitative data, you will often need to use operational definitions that translate abstract concepts (e.g., mood) into observable and quantifiable measures (e.g., self-ratings of feelings and energy levels).

Note that quantitative research is at risk for certain research biases , including information bias , omitted variable bias , sampling bias , or selection bias . Be sure that you’re aware of potential biases as you collect and analyze your data to prevent them from impacting your work too much.

Prevent plagiarism. Run a free check.

Once data is collected, you may need to process it before it can be analyzed. For example, survey and test data may need to be transformed from words to numbers. Then, you can use statistical analysis to answer your research questions .

Descriptive statistics will give you a summary of your data and include measures of averages and variability. You can also use graphs, scatter plots and frequency tables to visualize your data and check for any trends or outliers.

Using inferential statistics , you can make predictions or generalizations based on your data. You can test your hypothesis or use your sample data to estimate the population parameter .

First, you use descriptive statistics to get a summary of the data. You find the mean (average) and the mode (most frequent rating) of procrastination of the two groups, and plot the data to see if there are any outliers.

You can also assess the reliability and validity of your data collection methods to indicate how consistently and accurately your methods actually measured what you wanted them to.

Quantitative research is often used to standardize data collection and generalize findings . Strengths of this approach include:

• Replication

Repeating the study is possible because of standardized data collection protocols and tangible definitions of abstract concepts.

• Direct comparisons of results

The study can be reproduced in other cultural settings, times or with different groups of participants. Results can be compared statistically.

• Large samples

Data from large samples can be processed and analyzed using reliable and consistent procedures through quantitative data analysis.

• Hypothesis testing

Using formalized and established hypothesis testing procedures means that you have to carefully consider and report your research variables, predictions, data collection and testing methods before coming to a conclusion.

Despite the benefits of quantitative research, it is sometimes inadequate in explaining complex research topics. Its limitations include:

• Superficiality

Using precise and restrictive operational definitions may inadequately represent complex concepts. For example, the concept of mood may be represented with just a number in quantitative research, but explained with elaboration in qualitative research.

• Narrow focus

Predetermined variables and measurement procedures can mean that you ignore other relevant observations.

• Structural bias

Despite standardized procedures, structural biases can still affect quantitative research. Missing data , imprecise measurements or inappropriate sampling methods are biases that can lead to the wrong conclusions.

• Lack of context

Quantitative research often uses unnatural settings like laboratories or fails to consider historical and cultural contexts that may affect data collection and results.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square goodness of fit test
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Inclusion and exclusion criteria

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.

Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

Bhandari, P. (2023, June 22). What Is Quantitative Research? | Definition, Uses & Methods. Scribbr. Retrieved August 27, 2024, from https://www.scribbr.com/methodology/quantitative-research/

Is this article helpful?

Pritha Bhandari

Other students also liked, descriptive statistics | definitions, types, examples, inferential statistics | an easy introduction & examples, get unlimited documents corrected.

✔ Free APA citation check included ✔ Unlimited document corrections ✔ Specialized in correcting academic texts

521 Research Questions & Titles about Science

Do you enjoy revealing the mysteries of nature? There are as many secrets in space as there are deep in the ocean. You may be the one who solves the next puzzle!

Natural science focuses on our environment. We try to understand how and why everything around us works. Living organisms, natural phenomena, rocks, and even the stars, are under scientists’ observation. Research in this area is a continuous process. Sometimes when it seems like we found out the answer, it just creates more questions! There are also plenty of weird things that can’t be explained.

Want to learn more about the scientific puzzles to be solved? Take a look at the collection of science research questions that Custom-writing.org experts have prepared. Find your perfect idea in the list below!

🔝 Top 10 Natural Science Topics for Research Papers

• 💡 Choosing a Research Topic

⭐ Scientific Research Topics List: Top 10

• 💫 Astronomy Topics
• 🐈 Biology Topics
• ⚛️ Chemistry Topics
• ☁️ Environmental Topics
• 🔷 Geology Topics
• 🌈 Physics Topics
• 🔝 20 Research Questions

🔎 References

• How to prevent bacterial diseases
• What is the origin of immunity?
• Main concepts in biolinguistics
• How can you improve gut microbiota?
• Climate change’s effect on bumblebees?
• How did dry climate affect human evolution?
• The importance of bacteria in aquatic ecosystems
• How does the neuron structure change during sleep?
• What’s the link between stem cell divisions and cancer?
• Smoking’s contribution to the mosaic loss of Y chromosome

💡 Choosing an Interesting Science Research Topic

There are plenty of scientific research papers topics to choose from. You can pick an area that you prefer: astronomy, biology, chemistry, nature, geology, and physics. And we prepared a list of at least 35 cool research titles about science in each of them!

However, you should put some effort into choosing a good and interesting topic. There are several aspects you need to consider. The first thing to look into is how easy or hard the future research may be. Evaluate the resources and the skills you have. Are they enough to understand if it is enough to resolve a scientific issue you chose?

Next, you should also foresee the benefits of the research. Proper scientific research can increase knowledge in a specific area. Of course, if you are a college student, you shouldn’t feel any obligation to solve unimaginable problems. However, even a small discovery could be a huge step in understanding an issue.

Therefore, the key concept is to find a topic that would be easy and fruitful at the same time. Don’t rush! Usually, picking the first idea that comes to your mind doesn’t end successfully…

Also, don’t forget to listen to your inner voice. If it feels like the topic is not for you, cross it out. You shouldn’t waste your time working on research that doesn’t satisfy you. It also needs to reflect your point of view.

Last but not least, think about the approach of your research since it can also affect the topic. Decide whether you want to start quantitative or qualitative research . Then you might want to check out our collection of 501 good research topics for science!

• How hibernation of animals works
• Virtual reality vs. augmented reality
• Can false memories be implanted?
• The role of cryogenics in rocket science
• How can we reduce the gender gap in STEM?
• Cloud computing’s impact on data storage
• Microscopic techniques used in microbiology
• The importance of stem cells in medical science
• Types of genetic programming in machine learning
• The ways industries can conserve energy consumption

🚀 Space Research Topics

Have you ever had a dream of going into outer space as a kid? If yes, then these space research topics are for you!

Space research studies the observable universe that starts just outside the Earth’s surface. You don’t necessarily need to go in outer space to study it, though. Astronomy is where it all begins. Planets, galaxies, and different phenomena can all be studied from the ground. But note that most current projects also require some knowledge in physics, math, and computer science.

If you feel like it’s for you, then check out the list of the trending astronomy research topics below.

💫 58 Astronomy Research Topics

• Tools used to identify different variable stars: an overview
• Astrophysics: compact binary star systems & broadband variability
• Stellar evolution: young stellar objects with circumstellar material
• Evolved objects: circumstellar material and mass-loss episodes
• What telescopes are used for studying stellar evolution with a multispectral approach?
• The theory of the Universe
• How is interferometry used to observe the circumstellar environment?
• The approaches to building a cool stellar photosphere model
• Mars in comparison to Earth
• How to improve the accuracy of the Infrared Space Observatory?

• The theory of infrared spectroscopy and cool standard stars 
• The Milky Way and the expanding universe 
• How are stellar candles helpful in determining the extragalactic distance scale?
• The evolution of intermediate-mass single stars
• International Space Station
• How to understand the physical processes of the low-mass single starts evolution?
• Infrared spectroscopy to study the final stellar evolution
• Solar system: geology, climate, and composition
• The impact of studying post-AGB stars on stellar evolution theory
• The diversity of the post-AGB stars’ nucleosynthetic yields
• India space mission
• Interferometry and the study of the post-AGB stars
• Solar system: the weather on other planets
• The connection between the matter and the interstellar medium
• Why is the interstellar medium important for understanding galaxy evolution?
• Space Exploration: UAE and INDIA Space Cooperation 
• Supernova explosion: heavy metals and the interstellar medium
• How to investigate the chemical components of the diffuse interstellar clouds?
• The interaction between the ambient medium and stellar winds
• How are stellar wind properties measured?
• The approaches to learning the physics of exoplanets
• How are the chemical models of exoplanets built?
• The development of terrestrial planets’ atmosphere
• Hot Jupiter: the effect of circulation winds
• Exoplanets: surface and atmosphere connection
• Temperature and its effect on the habitability of exoplanets
• How are carbon-rich planets found?
• The evolution of binary stars vs. single stars
• What do binary stars interact with each other?
• How does the change in tidal forces affect the pulsations?
• What are the aspects of the seismic analysis of the binary stars?
• Asteroseismology: the analysis of the stars’ pulsation
• How are stellar pulsation modes identified in asteroseismology?
• The efficiency of iron in blocking the photons: the case of the Sun
• How does echography help understand the age of the young star?
• Why does the core of old stars spin faster than their surface?
• Gravitational-wave astronomy: the approaches to discover gravitational radiation
• The sensitivity of pulsar timing: studying supermassive black holes
• Radio observing as a way of finding new pulsars
• Is there a way to find out the cause of the accelerating expansion of the universe?
• How are planets formed in the accretion disks?
• The nature of the collimated outflows as the part of accretion disks
• Periodic pulses: looking for pulsars in binary systems
• Supermassive black holes: collecting data on gravitational waves 
• Why does the precise distance to a neutron star matter?
• Analyzing the dusty components of the galaxies to understand their evolution
• How do telescopes help to study protoplanetary disks?
• What software is used to study the formation of planetary systems?

🌿 Plants & Animals: Biological Research

Studying living organisms makes it to the top of the most interesting science research topics! No complicated physics, no political debates, just the peaceful science of life. If that is what you were looking for, then this list of biology research topics is for you!

Biology may not be the most popular choice for those writing a paper, but it doesn’t make it less exciting. Just think about the life-changing ideas of Charles Darwin! No need to worry, there are quite enough issues to be solved in animal biology since it is such a wide area.

Look through the whole list of 164 plants and animals research topics to find the best one for you.

🐈 164 Biology Research Topics

• What are the benefits of using whole-genome sequencing?
• Whole-genome sequencing for identifying chemotherapy resistance
• How are molecular and organismal biology related to each other?
• Pathobiology: the importance of studying the mammalian skull
• The influence of the circadian rhythm of metabolism
• The animal kingdom in Antarctica: adapting to subzero temperatures
• Understanding the migration of cells in tumors to treat cancer

• Moral grounds of the cloning
• What affects the survival rates of tumor cells?
• The ways to detect and fight chemoresistant tumor cell
• How are cytoskeleton microtubules and brain formation connected?
• Studying the cell’s response to infectious agents to understand the diseases
• Human development and the regeneration of heart tissues
• The approaches to study induced pluripotent stem cells
• How does the circadian cycle affect the human body temperature?
• Microorganisms in soil and their influence on the plant
• Why are some animals so smart?
• Geotropism: what is the purpose behind responding to the change of gravity direction?
• The relationship between the Earth’s magnetic field and animals
• Bonobos and common shimps: compare and contrast
• How do migratory birds navigate in the desert?
• The connection between the hens’ diet and the size of eggs
• How do nutrients circulate through the aquatic ecosystems?
• Bacterial pathogenesis 
• The difference between the energy flow in aquatic and terrestrial ecosystems
• India’s solar installations
• Understanding interactions between species for ecological sustainability
• Entomology: the introduction to the mechanism of transmitting diseases
• What are the host plant’s defense mechanisms against herbivores?
• The most effective approaches to save the endangered insects species
• The classification of the disease-transmitting insects
• The Chernobyl disaster: causes and effects 
• Epidemiological modeling: how does knowing the origins of the disease help fighting it?
• Population biology: genomic approaches to understand the spread of pathogens
• Gas price increasing and alternative energy sources 
• The science of growing the animal cell in the lab
• How can we predict the evolutionary changes in species with the help of evolutionary biology?
• The evolution of genomes and its effect on the organismal function
• What are the newest technologies used in evolutionary biology?
• Genomics: using transcriptome analysis to detect drug-resistant genes
• Whole-genome sequencing and natural variation
• Infectious diseases: cellular determinants and host response
• How do microbes change the immune system after infecting it?
• Neuroscience: olfaction and processes on a molecular level
• Neurobiology: the newest ways to study the human brain
• What is the connection between antibiotics and bacterial enzymes?
• The branches of biology that study DNA reparation
• Breast cancer after surgeries: the ways to stop metastatic relapse 
• What are the effects of immune cell variations on malaria ?
• Immunology: can an autoimmune disease be a root cause of glaucoma?
• Pancreatic cancer: what are the reasons for the drug resistance?
• Ketone bodies and their effect on stem cells regeneration in the intestine
• Studying planarians to investigate regeneration laws
• Can DNA repair enzymes also tie to RNA?
• Gene expression regulation and the flow of genetic information
• How do RNAs influence the development of the diseases?
• The ways to predict the effect of microRNAs on gene expression
• The most recent developments in transplantation research
• The approaches to fighting the biofouling problem
• What are the root causes of algae blooms?
• Bioluminescence: how can luciferase be helpful in medical diagnostics?
• What causes a decrease in monarch butterfly migration?
• Camouflage: how can squid deception skills help develop new materials?
• Using 3-D printing to improve the health of coral reef population
• Third mass bleaching: the potential of crossbreeding
• Will the process of de-extinction be possible in the near future?
• What could be the negative effects of the de-extinction?
• How to protect the Great Dismal Swamp from climate change?
• The physics behind the V-formation of birds flying
• What is the humans’ contribution to the spread of invasive species?
• The ways to slow down the current sixth mass extinction
• How do plants and animals look after their microbiome?
• Diet vs. environment: what influences microbiome more?
• Evolution: the secret of butterflies from different locations evolving the same pattern
• Wallflowers and mutagenesis studying: the next-gen cancer treatment
• The influence of oil spills on the food crops
• The best natural pesticides for organic farming
• The negative effects of organic farming on the environment
• How does conservation help save tropical rainforests?
• How do red tides algae affect fish and mammals? 
• The most recent approaches to the wetland restoration
• White polar bear : why is the low energy level dangerous for them?
• Human biology: how does the effect of afterimage work?
• How could food coloring change the taste of the product?
• The secrets of human taste buds: why some people can’t taste sour?
• The memory of the human immune system fighting common illnesses
• The correlation between the age and the lung capacity
• Human eye: the evolution of the peripheral vision
• Lateralisation of brain function in dogs: tail-wagging
• What is the purpose of homosexuality in the animal kingdom?
• How does diet affect sex hormones flow in women?
• The microbial factories as the pharmaceutical solution
• Can the cloning technology that was tested on the sheep be used on humans?
• How and why is the human gestation period different from other mammals?
• What amount of ultraviolet is deadly for different bacteria?
• The connection between the level of dilution of disinfectant and bacterial resistance
• The concentration of the preservative in food and microbial growth
• Red tides: how does overgrazing become even more harmful?
• How fast are bacteria spreading in the thawing meat?
• The role of heavy metal resistance in the adaptation of the plants to different environments
• Plant growth: nitrogen-fixing bacteria vs. nitrogen fertilizers
• The best plants for preventing soil erosion 
• Using duckweed to test the level of water contamination
• The deadly fungi: preventive measures of trees extinction
• Can human urine be used as a cheaper alternative for fertilizers?
• What affects the number of seeds in different fruits?
• What is happening to the honey bees
• Hydroponics as the most sustainable farming of the future
• How do forests self-regulate the population density?
• What is the relation between gravitropism and hydrotropism?
• How much can we control our genetics, at what point do we cease to be human? 
• The impact of studying phototropism on solar energy research 
• Planaria and its regeneration skills: magnetic field effect
• Is cloning “playing God”?
• How does caffeine affect plants and animals?
• Wild animals of the United States of America 
• Aquaculture: the most recent trends in aquafarming 

• How does fish egg predation affect the fish population?
• The importance of the number of trace metals in marine invertebrates
• Marine biology: the importance of CO2 levels and glacial cycles 
• The connection between GABA receptors and central nervous system
• The pathogenic mechanisms of Dengue viruses
• Using microwave for components extraction from medical plants
• Rhizobacteria as a way to promote the growth of the plants
• The most effective methods to prevent pathology in plants
• Modern technologies and controlling plant diseases
• How does climate change influence the evolution of animals?
• Human vs. non-human part in the extinction of species: compare and contrast 
• The root causes and preventive measures of obesity in pets
• The significance of male pregnancy in the animal kingdom
• Why shouldn’t we feed cats and hedgehogs with milk?
• Similarities and differences between cats and dogs 
• Marine biology: the negative effects of whale hunting
• The reason why wild animals should also be protected
• The brain wiring or vocal anatomy: why primates don’t talk?
• Are homosexuality psychological phenomena or genetic?
• The cloning of a DNA fragment, and a Southern blot
• Human body: is there any hormone that we don’t need?
• How can adaptogens influence the human endocrine system?
• The effects of long-term use of synthetic hormones on the female endocrine system
• Stressful and dangerous situation: why cortisol level stays high longer than adrenaline
• Compare and contrast the main functions of cortisol and adrenaline
• Bipolar disorder: biological point of view
• What is the role of oxytocin in treating psychopathic disorders?
• Bacteria: the influence of your gut health on anxiety and depression
• The genetics behind the development of schizophrenia
• Is there a connection between rain forests and fast food?
• Biological point of view on the importance of ecotourism 
• Does climate change slow down the appearance of new species?
• The connection between aneuploidy and female fertility
• What is the relationship between sickle cell anemia and red cell antigens? 
• How to prevent the depletion of groundwater resources?
• The development of natural selection theory 
• The causes of feline leukemia virus in wild cats
• How do newborn mice regrow heart muscle tissue?
• The development of implantable robots for regrowing tissue
• Feeding inhibition in tadpoles: the nature of a mechanism
• How do macrophages guide branching neurons?
• The development of a stem cell and the influence of water level on it
• The process of creating an embryo from stem cells
• How does sequencing help study the development of the cells?
• Right and left hemispheres: are they connected before the birth?
• The connection between gut health and asthma in babies 

🔬 Research in Chemistry

You may not realize it, but everything happening around is chemistry. Even such simple actions as breathing and eating are chemical reactions! How cool is that? Chemistry makes it to the top fun science research topics.

The thing is that everything is made of chemicals. Yes, even your body and your food! So claiming that you “don’t want to eat those chemicals in the food” would be fundamentally wrong. However, trying to avoid harmful additives is a healthy practice.

Are you excited already? Then you might want to look through the list of chemistry research topics we prepared for you. The level of difficulty varies, so there are plenty of chemistry research paper topics for graduates as well as high school students.

⚛️ 72 Chemistry Research Topics

• The connection between catalytic resonance theory and heterogeneous catalysts
• How are heterogeneous catalysts used in chemical manufacturing?
• Nanoparticles: what type of heterogeneous catalysts is used the most?
• Surface science: where noble metal aerogels are used?
• Fire in terms of chemistry and thermodynamics
• What affects electro catalytic phenomena in noble metal aerogels?
• How is the efficiency of electro catalytic reactions measured?
• Surface science: the phenomena of catalysis
• How can analyzing a platinum nanoparticle help understand the phenomena of catalysis?
• The most popular modern separation techniques
• The effects of chlorine exposure in the human body
• Analytical approach: how to understand which separation process you need?
• What might be the separation techniques of the future?
• Analytical chemistry: polymer dynamics and its characterization
• The connection between polymer dynamics and dynamic microstructure studies
• How is crystal growth studied in supramolecular solids?
• Designing models of chemical reactions of molecules at equilibrium positions
• Chemical biology: the synthesis of anti-cancer compounds
• What are the most recent methods of synthesizing natural products?
• Chemical biology: the methods of synthesizing small proteins
• How efficient is copying metalloprotein active sites?
• What are the significant differences between inorganic and synthetic organic chemistry?
• An overview of the newest approaches to conduction organelle analysis
• Studying enzymes : redox features and their applications
• What are the future bioactive nanomaterials, and do we have enough knowledge to create them?
• Neurochemistry: discoveries in brains via in situ hybridization
• How is fluorescence spectroscopy used to analyze membrane-bound proteins?
• The newest therapeutic agents found via in vitro selection
• What are the most effective techniques of proteomic analysis?
• Researching the proteins’ structure with the help of nuclear magnetic resonance
• How is DNA damaged, and how is it repaired?
• What is super-resolution microscopy mainly used for?
• The unsolved issues with electronic structure theory
• The ways to improve the accuracy of the Monte Carlo methods
• What are bio molecular modeling and simulations used for?
• How does temperature affect the chemical reactivity of matter?
• Electric solid propellants: a thermochemistry point of view
• The latest trends in the area of aquatic photochemistry
• Renewable feed stocks as the future of green chemistry 
• Physical chemistry: where is scanning probe microscopy used?
• Where can biological machinery be applied?
• Chemical equation: how experiences do you need to be to conduct an experiment?
• Chemistry in agriculture: how are innovations helping to avoid pesticides?
• Solar energy and chemistry: how are nanoparticles synthesized and used?
• Energy and catalysis: organometallic compounds of mixed metals
• The process of creation of complexes similar to biological enzymes
• How is the molecular dynamics of carbon capture modeled? 
• The process of the binding of polymer drugs
• The usage of the soft materials that were nanostructured
• How do biological systems influence polymers and toxicity?
• What are the main transport properties of polymer membranes?
• Polymer membranes: studying structure with the help of scattering
• Organic chemistry and natural products: is total synthesis better than partial?
• The latest trends in synthetic methods: an overview
• Studying the metabolic pathways of biosynthesis
• Solid-state chemistry: the approaches to analyze organic reactions
• Physical chemistry: the ions in the gas phase
• What are the main computer programs used in theoretical organic chemistry?
• Organic photochemistry and the ways it can be useful in everyday life
• What is the role of chemistry in the study of molecular electronics?
• The main differences between homogeneous and heterogeneous catalysis
• Green chemistry: how can CO2 be recycled into fuel?
• The art of molecular design in chemical synthesis
• How is the reactivity of natural nanoparticles studied?
• What is the reaction between acid and base during the neutralization reaction?
• What are the main approaches to study molecular polarity?
• The examples of chemical kinetics in real life
• How does substance abuse interfere with natural chemical processes in the human body?
• The importance of amino acids side chain
• What can change the outcome of the planned chemical reaction?
• Polypeptide field: the importance of amid bonds
• The unsolved secrets of the hydrophobic effect

🌎 Ecological Research: Environment & Climate Change

It is a special scientific research topic list. This one is for the lovers of our planet and for those who see their purpose in improving the environment. The carefully selected environmental science research topics can help you do that.

The ecological and environmental science research unites all the studies about the interconnection between living organisms and their environment. You might find many ecology research topics, as well as multiple climate change research topics.

However, since a lot of processes in the ecosystems can be quite slow, you should choose the field considering the time limits you have. But don’t worry, there are plenty of interesting environmental research paper topics for any kind of research you want to conduct!

☁️ 71 Environmental Science Research Topics

• How to differentiate arid from semi-arid land?
• What are the approaches for converting arid lands into fertile lands?
• Is the climate adaptation approach better than fighting climate change?
• Renewable energy usage: advantages and disadvantages 
• How does the growing demand of consumption amongst humans affect the environment? 
• Climate adaptation: the methods that can be applied by megacities
• Environmental pollution: effects on health 
• Forest management from the environmental sustainability perspective
• Shark finning: causes, impact, and solutions
• The species that conservation biology managed to save 
• Managing energy demand in Abu Dhabi: toward sustainable city 
• Why don’t conservation biology methods work sometimes?
• Recycling materials & waste disposal
• The application of AI in evaluating the conservation programs outcomes
• Causes and effects of water pollution 
• The biggest struggles in the watershed management area
• The environmental impact of bottled water
• Eco hydrology and water management : a case study of Mojave Desert
• Global climate change: causes and effects
• The influence of the environmental changes in a small area on the plant’s ecosystem
• The methods of predicting global environmental changes 
• Environmental studies of global warming: cause and mitigation 
• How does the human population affect the Canadian ecosystem?
• The most recent developments in the area of environmental sustainability 
• The gifts of the ecosystem services: a case study of West Africa
• Global environment communities
• Fire ecology: should the wildlife fires be stopped or prevented?
• What are the main benefits of wildlife fire for the environment?
• Fisheries ecology: how is fish health managed?
• Protection of the environment in the U.S. and the state of Hawaii 
• The best fisheries management ideas for tracking the age of fish
• Geospatial science: what software is used for geospatial mapping?
• The Amazon rainforest as an integral component of the environment
• Geographic information systems and its benefits for geospatial science
• What are molecular ecology methods used to study fungal diversity?
• Mining as a cause of environmental disaster
• Molecular ecology: a case study of multiple mating in ant colonies
• Floods: stages, types, effects, and prevention
• Global change management from the perspective of Environmental Science
• Where do the invasive alien species come from? 
• Plastics recycling and recovery 
• Climate change and invasive species: a case study of mussels in Antarctica
• Marine pollution in Australia
• What are the most effective methods to control invasive species?
• Oil drilling in the Arctic National Refuge
• The future of the discovery of natural products
• Soil ecology: what soil organisms affect plants directly?
• Tree planting and climate change
• Plant ecology: how do fungi help forests recover from fires?
• Alternative energy sources
• Population ecology: what is the purpose of insects which die after reproducing?
• Population ecology: how does the environment affect the type of species distribution?
• What are the main approaches in rangeland restoration?
• Why is the rangeland restoration so important for the future?
• Remote sensing: the usage of data collected via infrared sensors
• Geographic information system and remote sensing: compare and contrast 
• Can restoration ecology help save endangered species of animals?
• Restoration ecology: the irreversible cases in the US
• Where do natural resource management and social studies interconnect?
• Natural resource management: is there a sustainable way to use fossils?
• Wildlife ecology: why should the wildlife population be managed?
• Wildlife ecology: the species that cause the most damage to humans
• Why is the latest Great Barrier Reef bleaching worse than the previous ones? 
• The effects of stream pollution from mining on the aquatic life
• Some species of insects can become extinct: is it a bad thing?
• The threat to a local ecosystem that non native bees are carrying
• Bacteria and fungi as the main future helpers in agriculture
• Conventional vs. hydroponic farming 
• How does climate change affect the size of the fish?
• The progressive spread of the drylands caused by climate change

⛰️ Research in Geology

Contrary to popular belief, geology can be fun! You might ask yourself how fun an earth science can be… But this area actually includes much more than just studying the rocks.

Geologists are responsible for answering science research questions about mineral sources, earthquakes, volcanos, and even energy and climate change. They basically take care of society’s biggest natural problems.

In the area of geology, you can usually find quite easy scientific research topics. However, keep in mind that you might have to go out to the field and get muddy while doing most of your research.

We prepared an excellent list of geology research topics that can be useful for students with a major in geology who are working on their thesis.

🔷 45 Geology Research Topics

• How can analyzing seismic waves help understand the nature of earthquakes? 
• The main differences in studies in geology and astrogeology
• What are the biggest challenges of applying geology principles to astrogeology?
• How can the compression of wet sand be helpful in the construction field?
• Glaciers melting and geological misconceptions
• Environmental geology: the main methods of identifying the location of volcanic hazards
• How did people adapt to living in geologically hazardous locations?
• Formation and weathering of rocks 
• Weathering and erosion geology: when rocks turn into dust
• What is the relationship between natural hazards and marine geology?
• Marine geology: the importance of investigating the seafloor spreading
• Coastal geology: hydraulic action and the influence of the types of rock on it
• Landscape and the changes that it goes through
• The dynamics of the Earth’s surface: the landscape-changing power of glaciers
• Woodbury unique geological features 
• What forces below the surface make the Earth’s crust tilted?
• The most stable building designs to survive earthquakes in Japan
• Earthquakes: history and studies 
• The main methods to prevent the soil liquefaction
• Avalanches, their nature and safety precautions
• Saturated soil: what influences the transfer of force?
• What role does the soil type play in conserving cast fossils?
• Pros and cons of fluorite as a gemstone
• The specifics of the conditions under which fossils are created
• The correlation between the geological features and the location of coal reserves
• The methods of mapping Earth’s magnetic fields patterns
• How does water flow affect the environment?
• What is the role of soil in the Earth’s nitrogen biogeochemical cycle?
• How does the pH level of water react to alkaline soil?
• The latest technologies in measuring the speed of seismic waves
• The process of radioisotope dating to find out the age of rocks
• The development of the seismograph
• The stages of the process of the geodes creation?
• What geophysical conditions affect the growth of geodes?
• The most effective methods of predicting landslides
• What purposes is lichenometry dating used for?
• The role of structural geology in gold mines development
• Darcy’s Law and its relationship with the underwater flows
• The forces that influence sedimentation: electromagnetism
• Hematite matter and mineral 
• The soil structure and type vs. earthquakes: a comparative analysis
• What are the main tools used in sedimentology nowadays?
• Mountains: what forces can cause a change in the shape?
• The methods of sustainable coal mining: geological perception

🤓 Physics Research

Once again – a scientific subject that studies how our world works. However, just like other branches, it has its own specifics. Even though physics usually seems complicated, we gathered only simple science research topics for you!

Physics research might require a profound knowledge of the four fundamental concepts of physics. However, the good news is that this is the area where it is easy to find many qualitative and quantitative research topics about science.

Also, research is mostly based on conducting experiments, but most physics research topics in our list concern theoretical issues. Any of the ideas here can be used for your paper, so hurry up and look through all of them!

🌈 73 Physics Research Topics

• The unexpected uses of a magnifying glass in everyday life
• Why do different colors absorb radiant energy differently?
• How is balloon buoyancy used to launch satellites?
• How does the spinning affect the trajectory of the baseball ball?
• Frequency response : the usage of the 3dB bandwidth
• How is the frequency response of the speakers measured?
• The physics behind the retro-reflective strips
• The most effective material used for the retro-reflective strips
• Fluorescent yellow clothing vs. retro-reflective strips: what is safer to wear in the night?
• Magnetic levitation train: advantages and disadvantages
• The comparative analysis of the safety of the Japanese magnetic levitation train
• Why can’t the gauss rifle be used as a real firearm?
• Technologies inspired by the water strider that use surface tension
• What is the connection between the vacuum and sound intensity?
• Friction physics: the secret behind the inseparable interleaved books
• The important role of centripetal force that keeps tornado going 
• The physics of the balance: how to find a balance point?
• Will it be possible to use a radiometer to produce electricity in the future?
• Radiometer: the power of light intensity that affects the speed
• Animals that use the acceleration of gravity for their benefit
• Falling object acceleration: the correlation between distance and time
• What is the role of gravity in the speed of the rolling object?
• How important is the hang time of the ball in soccer?
• The physics that help forensic science analyze blood patterns
• Acoustic absorption: what types of foam are the most effective?
• The acoustic foam and different sound frequency
• Magnetic induction and the future of wireless charging 
• The physics behind the yo-yo sleep time: string length matters
• How does the temperature influence a magnet?
• Projectile motion and basketball: dunk explained
• Granular materials and why they flow like liquids
• Why does the conversion between potential energy and kinetic energy work both ways?
• Augmented reality glasses and refractive index
• Tumbling: where is it used for separating granular materials?
• How did we come up with hula-hoop, and how does it work?
• The conditions that affect the rebound height
• Why is it not possible to predict radioactive decay?
• The light effect that helps understand the atomic composition of stars
• Ice skating: how does temperature affect the friction? 
• Variations in the motor: how to boost the rocket’s performance?
• What is the interaction between magnetic and ferromagnetic materials?
• What type of stealth technology is more effective?
• Stealth technology: the shape that interferes the radar signals
• Finding the optimal number of magnetic breaks for a magnetic levitation train
• How can the phenomenon of supercooling be used for storing transplant organs?
• James Webb Space Telescope: the important role of solar shields
• How does temperature affect the level of the background radiation?
• Plasma physics: can controlled fusion be a source of electricity?
• Quantum theory and atomic clocks: the secret of precision 
• The current trends of engineering physics: photovoltaics
• Econophysics: where economic problems are solved by physics
• Where can the nanoscale materials be applied?
• The properties of condensed-matter: a qualitative analysis
• Isaac Newton: scientific contributions 
• Optical sensors: the benefits of the superconducting quantum devices
• Thermoelectric: the future of sustainable sources of energy
• Teleportation: physics of the impossible
• What are the best materials for photovoltaics?
• Biophysics: what tools are used to study macromolecules?
• The Paradoxical effects of time travel 
• How is the study of microfluidics applied in agriculture?
• The newest fluid control techniques in micro fluid devices
• The application of the properties of the particles of light
• What do we lack to build a space elevator?
• How effective is laser cleaning from the perspective of archeology?
• Astrophysics: the biggest issues with moving quasars
• Can remote sensing be used to warn people with asthmatic problems?
• Where can electron beam welding be applied?
• How can physics help develop methods to close the ozone hole? 
• Solar cells: silicon for the increased efficiency
• What parts of the universe are not on the electromagnetic spectrum?
• What are the causes of the heat death of the universe?
• The connection between elusive particles and antiparticles

🔝 Top 20 Big Science Research Questions

• What are other possible ways of using our Sun as the source of energy ? It is definitely not an easy one, but among all science research ideas, it is the most promising. For instance, a nuclear fusion machine might be able to produce enough energy for everybody!
• Can we get rid of all the carbon dioxide? Since we were releasing it by burning fuels, we need to think about how to hide it back as well. And we have to solve this issue before climate change causes catastrophic damage.
• Is there a possibility of the other universes’ existence? Of course, our universe is unique, but it seems like scientists are getting more and more excited about the idea of a “ multiverse .”
• Why are there uneven parts of matter and antimatter? A mind-blowing question which should not belong to the list of simple science research topics, just as we shouldn’t belong here! But why are we still here when there is antimatter?
• What role does dreaming play? It might be a great question to create your own theory for a biology or psychology project. Most people had wondered why they were dreaming. What if dreams are essential for normal brain development?
• How can the nature of consciousness be explained? No one even knows what consciousness is in the first place… But we do know that computers have not become conscious… yet. 
• How do we prove that we are humans? Only 1% of the genome is what makes us different from a chimpanzee. So what qualities make us rule this world?
• Are there other life forms in the universe? Some qualitative research topics about science may be leading to the answer. Now scientists have the tools to find habitable planets.
• What caused the creation of life? Some chemicals in the primordial soup made love and created the first life on our planet. But how did it happen?
• What is the composition of the universe? So, lets’ see… We only know 5% percent of what everything is made of. Dark energy was only discovered 22 years ago!
• Will people be able to time travel? Astronauts are real time-travelers since the time on the International Space Station is slower. We’ll see if we can actually travel thousands of years in the future one day.
• How can we manage the growing population needs? The population of people is growing each year, and our demands are growing too. However, it might not be as easy as we think. Countries might have to join their forces to battle this issue! 
• Can we stop aging? We grow old and die, but the Vedas, Indian religious texts, say that we don’t have to. The state of perfect health may be maintained indefinitely. However, science has little to comment on it.
• Where is the lowest point of the black hole? Unfortunately, scientists don’t even have the proper tools to check it. Therefore, the answer is only different theories on paper.
• What is on the ocean floor? The bottom of the ocean is as unknown as outer space. 95% about it is unveiled. For now, we can only send drones to the deepest parts, but it’s not nearly enough to understand everything…
• When will robots be available as servants? Robots can already do many tasks, like serving drinks and even milking cows. The only question is when they will be functional enough to be personal assistants?
• Will it be possible to cure cancer? One day it may be possible but not in the foreseeable future for sure… Is it easier to change our lifestyles and prevent cancer than treat it later? 
• How fast can computers become? We have been witnessing the continuous development of computers. But how much faster can they become in the future?
• What are the ways to kill bacteria? Drug-resistant bacteria are a big threat, and the common antibiotic is not enough. Scientists are working on discovering new antibiotics.
• How to solve the mystery of the prime numbers? Prime numbers are widely used for encryption, thanks to their weirdness. But don’t rush to solve this mystery, we don’t know if the internet will remain safe after that!

Learn more on this topic:

• 280 Good Nursing Research Topics & Questions
• 226 Research Topics on Criminal Justice & Criminology
• 204 Research Topics on Technology & Computer Science
• 178 Best Research Titles about Cookery & Food
• 497 Interesting History Topics to Research
• 180 Best Education Research Topics & Ideas
• 110+ Micro- & Macroeconomics Research Topics
• 417 Business Research Topics for ABM Students
• 190+ Research Topics on Psychology & Communication
• 512 Research Topics on HumSS
• 281 Best Health & Medical Research Topics
• A List of Research Topics for Students. Unique and Interesting
• Good Research Topics, Titles and Ideas for Your Paper
• Databases for Research & Education: Gale
• Research Topics: Cornell Engineering
• Research Topics: School of Natural Resources & Environment, University of Arizona
• Research Areas: Stanford Chemistry
• Areas of research: Department of Chemistry, University of Minnesota
• Areas of Research: Department of Biological Sciences, University of Notre Dame
• Areas of Research: MIT Biology
• CCAPS Research Areas: Cornell
• Research Topics: Institute of Astronomy, KU LEUVEN
• List of Science Fair Project Ideas: Science Buddies
• Short Chemistry Topics: Science
• Choosing a research topic: Murdoch University
• Choosing a Topic: Purdue OWL
• How do I choose a research topic? UW Madison Libraries
• Space Science and Astrobiology Division: NASA
• Center fos Space Research: The University of Texas at Austin
• Biology Research Areas: Duke
• Research Areas: Department of Molecular Biology, Princeton University
• Research areas: Department of Biology, University of Waterloo
• 2019’s Most Important Chemistry Research Topics: ASC Axial
• Description of Research Areas: Department of Chemistry, University of Washington
• Research Areas: Yale Department of Chemistry
• Ecology: Nature
• Ecology Research News: ScienceDaily
• Environmental Research: Elsevier
• Articles on Geology: The Conversation
• Geology: Academia
• Share to Facebook
• Share to LinkedIn
• Share to email

Do you have to write a research proposal and can’t choose one from the professor’s list? This article may be exactly what you need. We will provide you with the most up-to-date undergraduate and postgraduate topic ideas. Moreover, we will share the secrets of the winning research proposal writing. Here,...

A history class can become a jumble of years, dates, odd moments, and names of people who have been dead for centuries. Despite this, you’ll still need to find history topics to write about. You may have no choice! But once in a while, your instructor may let you pick...

Argumentative research paper topics are a lot easier to find than to come up with. We always try to make your life easier. That’s why you should feel free to check out this list of the hottest and most controversial argumentative essay topics for 2024. In the article prepared by...

One of the greatest problems of the scholarly world is the lack of funny topics. So why not jazz it up? How about creating one of those humorous speeches the public is always so delighted to listen to? Making a couple of funny informative speech topics or coming up with...

After the recent heartbreaking mass shootings, the gun control debate has reached its boiling point. Do we need stricter gun control laws? Should everyone get a weapon to oppose crime? Or should guns be banned overall? You have the opportunity to air your opinion in a gun control argumentative essay....

Many people believe that childhood is the happiest period in a person’s life. It’s not hard to see why. Kids have nothing to care or worry about, have almost no duties or problems, and can hang out with their friends all day long. An essay about childhood gives an opportunity...

Just when you think you’re way past the question “How to write an essay?” another one comes. That’s the thing students desperately Google: “What is an informative speech?” And our custom writing experts are here to help you sort this out. Informative speaking is a speech on a completely new issue....

Literature courses are about two things: reading and writing about what you’ve read. For most students, it’s hard enough to understand great pieces of literature, never mind analyzing them. And with so many books and stories out there, choosing one to write about can be a chore. But you’re in...

The success of any college essay depends on the topic choice. If you want to impress your instructors, your essay needs to be interesting and unique. Don’t know what to write about? We are here to help you! In this article by our Custom-Writing.org team, you will find 335 interesting...

Social studies is an integrated research field. It includes a range of topics on social science and humanities, such as history, culture, geography, sociology, education, etc. A social studies essay might be assigned to any middle school, high school, or college student. It might seem like a daunting task, but...

If you are about to go into the world of graduate school, then one of the first things you need to do is choose from all the possible dissertation topics available to you. This is no small task. You are likely to spend many years researching your Master’s or Ph.D....

Looking for a good argumentative essay topic? In need of a persuasive idea for a research paper? You’ve found the right page! Academic writing is never easy, whether it is for middle school or college. That’s why there are numerous educational materials on composing an argumentative and persuasive essay, for...

Great lists, thanks for sharing such nice titles.

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

• Publications
• Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

• Advanced Search
• Journal List
• J Korean Med Sci
• v.37(16); 2022 Apr 25

A Practical Guide to Writing Quantitative and Qualitative Research Questions and Hypotheses in Scholarly Articles

Edward barroga.

1 Department of General Education, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan.

Glafera Janet Matanguihan

2 Department of Biological Sciences, Messiah University, Mechanicsburg, PA, USA.

The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. The development of research questions is a process based on knowledge of current trends, cutting-edge studies, and technological advances in the research field. Excellent research questions are focused and require a comprehensive literature search and in-depth understanding of the problem being investigated. Initially, research questions may be written as descriptive questions which could be developed into inferential questions. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. Studies developed from good research questions and hypotheses will have trustworthy outcomes with wide-ranging social and health implications.

INTRODUCTION

Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses. 1 , 2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results. 3 , 4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the inception of novel studies and the ethical testing of ideas. 5 , 6

It is crucial to have knowledge of both quantitative and qualitative research 2 as both types of research involve writing research questions and hypotheses. 7 However, these crucial elements of research are sometimes overlooked; if not overlooked, then framed without the forethought and meticulous attention it needs. Planning and careful consideration are needed when developing quantitative or qualitative research, particularly when conceptualizing research questions and hypotheses. 4

There is a continuing need to support researchers in the creation of innovative research questions and hypotheses, as well as for journal articles that carefully review these elements. 1 When research questions and hypotheses are not carefully thought of, unethical studies and poor outcomes usually ensue. Carefully formulated research questions and hypotheses define well-founded objectives, which in turn determine the appropriate design, course, and outcome of the study. This article then aims to discuss in detail the various aspects of crafting research questions and hypotheses, with the goal of guiding researchers as they develop their own. Examples from the authors and peer-reviewed scientific articles in the healthcare field are provided to illustrate key points.

DEFINITIONS AND RELATIONSHIP OF RESEARCH QUESTIONS AND HYPOTHESES

A research question is what a study aims to answer after data analysis and interpretation. The answer is written in length in the discussion section of the paper. Thus, the research question gives a preview of the different parts and variables of the study meant to address the problem posed in the research question. 1 An excellent research question clarifies the research writing while facilitating understanding of the research topic, objective, scope, and limitations of the study. 5

On the other hand, a research hypothesis is an educated statement of an expected outcome. This statement is based on background research and current knowledge. 8 , 9 The research hypothesis makes a specific prediction about a new phenomenon 10 or a formal statement on the expected relationship between an independent variable and a dependent variable. 3 , 11 It provides a tentative answer to the research question to be tested or explored. 4

Hypotheses employ reasoning to predict a theory-based outcome. 10 These can also be developed from theories by focusing on components of theories that have not yet been observed. 10 The validity of hypotheses is often based on the testability of the prediction made in a reproducible experiment. 8

Conversely, hypotheses can also be rephrased as research questions. Several hypotheses based on existing theories and knowledge may be needed to answer a research question. Developing ethical research questions and hypotheses creates a research design that has logical relationships among variables. These relationships serve as a solid foundation for the conduct of the study. 4 , 11 Haphazardly constructed research questions can result in poorly formulated hypotheses and improper study designs, leading to unreliable results. Thus, the formulations of relevant research questions and verifiable hypotheses are crucial when beginning research. 12

CHARACTERISTICS OF GOOD RESEARCH QUESTIONS AND HYPOTHESES

Excellent research questions are specific and focused. These integrate collective data and observations to confirm or refute the subsequent hypotheses. Well-constructed hypotheses are based on previous reports and verify the research context. These are realistic, in-depth, sufficiently complex, and reproducible. More importantly, these hypotheses can be addressed and tested. 13

There are several characteristics of well-developed hypotheses. Good hypotheses are 1) empirically testable 7 , 10 , 11 , 13 ; 2) backed by preliminary evidence 9 ; 3) testable by ethical research 7 , 9 ; 4) based on original ideas 9 ; 5) have evidenced-based logical reasoning 10 ; and 6) can be predicted. 11 Good hypotheses can infer ethical and positive implications, indicating the presence of a relationship or effect relevant to the research theme. 7 , 11 These are initially developed from a general theory and branch into specific hypotheses by deductive reasoning. In the absence of a theory to base the hypotheses, inductive reasoning based on specific observations or findings form more general hypotheses. 10

TYPES OF RESEARCH QUESTIONS AND HYPOTHESES

Research questions and hypotheses are developed according to the type of research, which can be broadly classified into quantitative and qualitative research. We provide a summary of the types of research questions and hypotheses under quantitative and qualitative research categories in Table 1 .

Research questions in quantitative research

In quantitative research, research questions inquire about the relationships among variables being investigated and are usually framed at the start of the study. These are precise and typically linked to the subject population, dependent and independent variables, and research design. 1 Research questions may also attempt to describe the behavior of a population in relation to one or more variables, or describe the characteristics of variables to be measured ( descriptive research questions ). 1 , 5 , 14 These questions may also aim to discover differences between groups within the context of an outcome variable ( comparative research questions ), 1 , 5 , 14 or elucidate trends and interactions among variables ( relationship research questions ). 1 , 5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2 .

Hypotheses in quantitative research

In quantitative research, hypotheses predict the expected relationships among variables. 15 Relationships among variables that can be predicted include 1) between a single dependent variable and a single independent variable ( simple hypothesis ) or 2) between two or more independent and dependent variables ( complex hypothesis ). 4 , 11 Hypotheses may also specify the expected direction to be followed and imply an intellectual commitment to a particular outcome ( directional hypothesis ) 4 . On the other hand, hypotheses may not predict the exact direction and are used in the absence of a theory, or when findings contradict previous studies ( non-directional hypothesis ). 4 In addition, hypotheses can 1) define interdependency between variables ( associative hypothesis ), 4 2) propose an effect on the dependent variable from manipulation of the independent variable ( causal hypothesis ), 4 3) state a negative relationship between two variables ( null hypothesis ), 4 , 11 , 15 4) replace the working hypothesis if rejected ( alternative hypothesis ), 15 explain the relationship of phenomena to possibly generate a theory ( working hypothesis ), 11 5) involve quantifiable variables that can be tested statistically ( statistical hypothesis ), 11 6) or express a relationship whose interlinks can be verified logically ( logical hypothesis ). 11 We provide examples of simple, complex, directional, non-directional, associative, causal, null, alternative, working, statistical, and logical hypotheses in quantitative research, as well as the definition of quantitative hypothesis-testing research in Table 3 .

Research questions in qualitative research

Unlike research questions in quantitative research, research questions in qualitative research are usually continuously reviewed and reformulated. The central question and associated subquestions are stated more than the hypotheses. 15 The central question broadly explores a complex set of factors surrounding the central phenomenon, aiming to present the varied perspectives of participants. 15

There are varied goals for which qualitative research questions are developed. These questions can function in several ways, such as to 1) identify and describe existing conditions ( contextual research question s); 2) describe a phenomenon ( descriptive research questions ); 3) assess the effectiveness of existing methods, protocols, theories, or procedures ( evaluation research questions ); 4) examine a phenomenon or analyze the reasons or relationships between subjects or phenomena ( explanatory research questions ); or 5) focus on unknown aspects of a particular topic ( exploratory research questions ). 5 In addition, some qualitative research questions provide new ideas for the development of theories and actions ( generative research questions ) or advance specific ideologies of a position ( ideological research questions ). 1 Other qualitative research questions may build on a body of existing literature and become working guidelines ( ethnographic research questions ). Research questions may also be broadly stated without specific reference to the existing literature or a typology of questions ( phenomenological research questions ), may be directed towards generating a theory of some process ( grounded theory questions ), or may address a description of the case and the emerging themes ( qualitative case study questions ). 15 We provide examples of contextual, descriptive, evaluation, explanatory, exploratory, generative, ideological, ethnographic, phenomenological, grounded theory, and qualitative case study research questions in qualitative research in Table 4 , and the definition of qualitative hypothesis-generating research in Table 5 .

Qualitative studies usually pose at least one central research question and several subquestions starting with How or What . These research questions use exploratory verbs such as explore or describe . These also focus on one central phenomenon of interest, and may mention the participants and research site. 15

Hypotheses in qualitative research

Hypotheses in qualitative research are stated in the form of a clear statement concerning the problem to be investigated. Unlike in quantitative research where hypotheses are usually developed to be tested, qualitative research can lead to both hypothesis-testing and hypothesis-generating outcomes. 2 When studies require both quantitative and qualitative research questions, this suggests an integrative process between both research methods wherein a single mixed-methods research question can be developed. 1

FRAMEWORKS FOR DEVELOPING RESEARCH QUESTIONS AND HYPOTHESES

Research questions followed by hypotheses should be developed before the start of the study. 1 , 12 , 14 It is crucial to develop feasible research questions on a topic that is interesting to both the researcher and the scientific community. This can be achieved by a meticulous review of previous and current studies to establish a novel topic. Specific areas are subsequently focused on to generate ethical research questions. The relevance of the research questions is evaluated in terms of clarity of the resulting data, specificity of the methodology, objectivity of the outcome, depth of the research, and impact of the study. 1 , 5 These aspects constitute the FINER criteria (i.e., Feasible, Interesting, Novel, Ethical, and Relevant). 1 Clarity and effectiveness are achieved if research questions meet the FINER criteria. In addition to the FINER criteria, Ratan et al. described focus, complexity, novelty, feasibility, and measurability for evaluating the effectiveness of research questions. 14

The PICOT and PEO frameworks are also used when developing research questions. 1 The following elements are addressed in these frameworks, PICOT: P-population/patients/problem, I-intervention or indicator being studied, C-comparison group, O-outcome of interest, and T-timeframe of the study; PEO: P-population being studied, E-exposure to preexisting conditions, and O-outcome of interest. 1 Research questions are also considered good if these meet the “FINERMAPS” framework: Feasible, Interesting, Novel, Ethical, Relevant, Manageable, Appropriate, Potential value/publishable, and Systematic. 14

As we indicated earlier, research questions and hypotheses that are not carefully formulated result in unethical studies or poor outcomes. To illustrate this, we provide some examples of ambiguous research question and hypotheses that result in unclear and weak research objectives in quantitative research ( Table 6 ) 16 and qualitative research ( Table 7 ) 17 , and how to transform these ambiguous research question(s) and hypothesis(es) into clear and good statements.

a These statements were composed for comparison and illustrative purposes only.

b These statements are direct quotes from Higashihara and Horiuchi. 16

a This statement is a direct quote from Shimoda et al. 17

The other statements were composed for comparison and illustrative purposes only.

CONSTRUCTING RESEARCH QUESTIONS AND HYPOTHESES

To construct effective research questions and hypotheses, it is very important to 1) clarify the background and 2) identify the research problem at the outset of the research, within a specific timeframe. 9 Then, 3) review or conduct preliminary research to collect all available knowledge about the possible research questions by studying theories and previous studies. 18 Afterwards, 4) construct research questions to investigate the research problem. Identify variables to be accessed from the research questions 4 and make operational definitions of constructs from the research problem and questions. Thereafter, 5) construct specific deductive or inductive predictions in the form of hypotheses. 4 Finally, 6) state the study aims . This general flow for constructing effective research questions and hypotheses prior to conducting research is shown in Fig. 1 .

Research questions are used more frequently in qualitative research than objectives or hypotheses. 3 These questions seek to discover, understand, explore or describe experiences by asking “What” or “How.” The questions are open-ended to elicit a description rather than to relate variables or compare groups. The questions are continually reviewed, reformulated, and changed during the qualitative study. 3 Research questions are also used more frequently in survey projects than hypotheses in experiments in quantitative research to compare variables and their relationships.

Hypotheses are constructed based on the variables identified and as an if-then statement, following the template, ‘If a specific action is taken, then a certain outcome is expected.’ At this stage, some ideas regarding expectations from the research to be conducted must be drawn. 18 Then, the variables to be manipulated (independent) and influenced (dependent) are defined. 4 Thereafter, the hypothesis is stated and refined, and reproducible data tailored to the hypothesis are identified, collected, and analyzed. 4 The hypotheses must be testable and specific, 18 and should describe the variables and their relationships, the specific group being studied, and the predicted research outcome. 18 Hypotheses construction involves a testable proposition to be deduced from theory, and independent and dependent variables to be separated and measured separately. 3 Therefore, good hypotheses must be based on good research questions constructed at the start of a study or trial. 12

In summary, research questions are constructed after establishing the background of the study. Hypotheses are then developed based on the research questions. Thus, it is crucial to have excellent research questions to generate superior hypotheses. In turn, these would determine the research objectives and the design of the study, and ultimately, the outcome of the research. 12 Algorithms for building research questions and hypotheses are shown in Fig. 2 for quantitative research and in Fig. 3 for qualitative research.

EXAMPLES OF RESEARCH QUESTIONS FROM PUBLISHED ARTICLES

• EXAMPLE 1. Descriptive research question (quantitative research)
• - Presents research variables to be assessed (distinct phenotypes and subphenotypes)
• “BACKGROUND: Since COVID-19 was identified, its clinical and biological heterogeneity has been recognized. Identifying COVID-19 phenotypes might help guide basic, clinical, and translational research efforts.
• RESEARCH QUESTION: Does the clinical spectrum of patients with COVID-19 contain distinct phenotypes and subphenotypes? ” 19
• EXAMPLE 2. Relationship research question (quantitative research)
• - Shows interactions between dependent variable (static postural control) and independent variable (peripheral visual field loss)
• “Background: Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
• Research question: What are the effects of peripheral visual field loss on static postural control ?” 20
• EXAMPLE 3. Comparative research question (quantitative research)
• - Clarifies the difference among groups with an outcome variable (patients enrolled in COMPERA with moderate PH or severe PH in COPD) and another group without the outcome variable (patients with idiopathic pulmonary arterial hypertension (IPAH))
• “BACKGROUND: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition.
• RESEARCH QUESTION: Which factors determine the outcome of PH in COPD?
• STUDY DESIGN AND METHODS: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH) .” 21
• EXAMPLE 4. Exploratory research question (qualitative research)
• - Explores areas that have not been fully investigated (perspectives of families and children who receive care in clinic-based child obesity treatment) to have a deeper understanding of the research problem
• “Problem: Interventions for children with obesity lead to only modest improvements in BMI and long-term outcomes, and data are limited on the perspectives of families of children with obesity in clinic-based treatment. This scoping review seeks to answer the question: What is known about the perspectives of families and children who receive care in clinic-based child obesity treatment? This review aims to explore the scope of perspectives reported by families of children with obesity who have received individualized outpatient clinic-based obesity treatment.” 22
• EXAMPLE 5. Relationship research question (quantitative research)
• - Defines interactions between dependent variable (use of ankle strategies) and independent variable (changes in muscle tone)
• “Background: To maintain an upright standing posture against external disturbances, the human body mainly employs two types of postural control strategies: “ankle strategy” and “hip strategy.” While it has been reported that the magnitude of the disturbance alters the use of postural control strategies, it has not been elucidated how the level of muscle tone, one of the crucial parameters of bodily function, determines the use of each strategy. We have previously confirmed using forward dynamics simulations of human musculoskeletal models that an increased muscle tone promotes the use of ankle strategies. The objective of the present study was to experimentally evaluate a hypothesis: an increased muscle tone promotes the use of ankle strategies. Research question: Do changes in the muscle tone affect the use of ankle strategies ?” 23

EXAMPLES OF HYPOTHESES IN PUBLISHED ARTICLES

• EXAMPLE 1. Working hypothesis (quantitative research)
• - A hypothesis that is initially accepted for further research to produce a feasible theory
• “As fever may have benefit in shortening the duration of viral illness, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response when taken during the early stages of COVID-19 illness .” 24
• “In conclusion, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response . The difference in perceived safety of these agents in COVID-19 illness could be related to the more potent efficacy to reduce fever with ibuprofen compared to acetaminophen. Compelling data on the benefit of fever warrant further research and review to determine when to treat or withhold ibuprofen for early stage fever for COVID-19 and other related viral illnesses .” 24
• EXAMPLE 2. Exploratory hypothesis (qualitative research)
• - Explores particular areas deeper to clarify subjective experience and develop a formal hypothesis potentially testable in a future quantitative approach
• “We hypothesized that when thinking about a past experience of help-seeking, a self distancing prompt would cause increased help-seeking intentions and more favorable help-seeking outcome expectations .” 25
• “Conclusion
• Although a priori hypotheses were not supported, further research is warranted as results indicate the potential for using self-distancing approaches to increasing help-seeking among some people with depressive symptomatology.” 25
• EXAMPLE 3. Hypothesis-generating research to establish a framework for hypothesis testing (qualitative research)
• “We hypothesize that compassionate care is beneficial for patients (better outcomes), healthcare systems and payers (lower costs), and healthcare providers (lower burnout). ” 26
• Compassionomics is the branch of knowledge and scientific study of the effects of compassionate healthcare. Our main hypotheses are that compassionate healthcare is beneficial for (1) patients, by improving clinical outcomes, (2) healthcare systems and payers, by supporting financial sustainability, and (3) HCPs, by lowering burnout and promoting resilience and well-being. The purpose of this paper is to establish a scientific framework for testing the hypotheses above . If these hypotheses are confirmed through rigorous research, compassionomics will belong in the science of evidence-based medicine, with major implications for all healthcare domains.” 26
• EXAMPLE 4. Statistical hypothesis (quantitative research)
• - An assumption is made about the relationship among several population characteristics ( gender differences in sociodemographic and clinical characteristics of adults with ADHD ). Validity is tested by statistical experiment or analysis ( chi-square test, Students t-test, and logistic regression analysis)
• “Our research investigated gender differences in sociodemographic and clinical characteristics of adults with ADHD in a Japanese clinical sample. Due to unique Japanese cultural ideals and expectations of women's behavior that are in opposition to ADHD symptoms, we hypothesized that women with ADHD experience more difficulties and present more dysfunctions than men . We tested the following hypotheses: first, women with ADHD have more comorbidities than men with ADHD; second, women with ADHD experience more social hardships than men, such as having less full-time employment and being more likely to be divorced.” 27
• “Statistical Analysis
• ( text omitted ) Between-gender comparisons were made using the chi-squared test for categorical variables and Students t-test for continuous variables…( text omitted ). A logistic regression analysis was performed for employment status, marital status, and comorbidity to evaluate the independent effects of gender on these dependent variables.” 27

EXAMPLES OF HYPOTHESIS AS WRITTEN IN PUBLISHED ARTICLES IN RELATION TO OTHER PARTS

• EXAMPLE 1. Background, hypotheses, and aims are provided
• “Pregnant women need skilled care during pregnancy and childbirth, but that skilled care is often delayed in some countries …( text omitted ). The focused antenatal care (FANC) model of WHO recommends that nurses provide information or counseling to all pregnant women …( text omitted ). Job aids are visual support materials that provide the right kind of information using graphics and words in a simple and yet effective manner. When nurses are not highly trained or have many work details to attend to, these job aids can serve as a content reminder for the nurses and can be used for educating their patients (Jennings, Yebadokpo, Affo, & Agbogbe, 2010) ( text omitted ). Importantly, additional evidence is needed to confirm how job aids can further improve the quality of ANC counseling by health workers in maternal care …( text omitted )” 28
• “ This has led us to hypothesize that the quality of ANC counseling would be better if supported by job aids. Consequently, a better quality of ANC counseling is expected to produce higher levels of awareness concerning the danger signs of pregnancy and a more favorable impression of the caring behavior of nurses .” 28
• “This study aimed to examine the differences in the responses of pregnant women to a job aid-supported intervention during ANC visit in terms of 1) their understanding of the danger signs of pregnancy and 2) their impression of the caring behaviors of nurses to pregnant women in rural Tanzania.” 28
• EXAMPLE 2. Background, hypotheses, and aims are provided
• “We conducted a two-arm randomized controlled trial (RCT) to evaluate and compare changes in salivary cortisol and oxytocin levels of first-time pregnant women between experimental and control groups. The women in the experimental group touched and held an infant for 30 min (experimental intervention protocol), whereas those in the control group watched a DVD movie of an infant (control intervention protocol). The primary outcome was salivary cortisol level and the secondary outcome was salivary oxytocin level.” 29
• “ We hypothesize that at 30 min after touching and holding an infant, the salivary cortisol level will significantly decrease and the salivary oxytocin level will increase in the experimental group compared with the control group .” 29
• EXAMPLE 3. Background, aim, and hypothesis are provided
• “In countries where the maternal mortality ratio remains high, antenatal education to increase Birth Preparedness and Complication Readiness (BPCR) is considered one of the top priorities [1]. BPCR includes birth plans during the antenatal period, such as the birthplace, birth attendant, transportation, health facility for complications, expenses, and birth materials, as well as family coordination to achieve such birth plans. In Tanzania, although increasing, only about half of all pregnant women attend an antenatal clinic more than four times [4]. Moreover, the information provided during antenatal care (ANC) is insufficient. In the resource-poor settings, antenatal group education is a potential approach because of the limited time for individual counseling at antenatal clinics.” 30
• “This study aimed to evaluate an antenatal group education program among pregnant women and their families with respect to birth-preparedness and maternal and infant outcomes in rural villages of Tanzania.” 30
• “ The study hypothesis was if Tanzanian pregnant women and their families received a family-oriented antenatal group education, they would (1) have a higher level of BPCR, (2) attend antenatal clinic four or more times, (3) give birth in a health facility, (4) have less complications of women at birth, and (5) have less complications and deaths of infants than those who did not receive the education .” 30

Research questions and hypotheses are crucial components to any type of research, whether quantitative or qualitative. These questions should be developed at the very beginning of the study. Excellent research questions lead to superior hypotheses, which, like a compass, set the direction of research, and can often determine the successful conduct of the study. Many research studies have floundered because the development of research questions and subsequent hypotheses was not given the thought and meticulous attention needed. The development of research questions and hypotheses is an iterative process based on extensive knowledge of the literature and insightful grasp of the knowledge gap. Focused, concise, and specific research questions provide a strong foundation for constructing hypotheses which serve as formal predictions about the research outcomes. Research questions and hypotheses are crucial elements of research that should not be overlooked. They should be carefully thought of and constructed when planning research. This avoids unethical studies and poor outcomes by defining well-founded objectives that determine the design, course, and outcome of the study.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

• Conceptualization: Barroga E, Matanguihan GJ.
• Methodology: Barroga E, Matanguihan GJ.
• Writing - original draft: Barroga E, Matanguihan GJ.
• Writing - review & editing: Barroga E, Matanguihan GJ.

150+ Quantitative Research Topics For HumSS Students In 2023

Are you a student in HumSS (Humanities and Social Sciences) wondering what that means? HumSS is about understanding how people behave, how societies work, and what makes cultures unique. But why should you care about finding the right research topic in HumSS? Well, it’s important because it helps us figure out and deal with the complex issues in our world today.

In this blog, we are going to talk about HumSS research topics, specifically Quantitative Research Topics For HumSS Students in 2023. We’ll help you choose a topic that you find interesting and that fits your academic goals. Whether you study sociology, psychology, or another HumSS subject, we’ve got you covered.

So, stick with us to explore 150+ Quantitative Research Topics For HumSS Students. Let’s start this learning journey together!

What is HumSS?

Table of Contents

HumSS stands for “Humanities and Social Sciences.” It is a way to group together different subjects that focus on people, society, and the world we live in. In HumSS, we study things like history, language, culture, and how people interact with each other and their environment.

In HumSS, you learn about the past and present of human societies, their beliefs, and how they shape the world. It helps us understand our own actions and the world around us better, making us more informed and responsible members of society. So, HumSS is all about exploring the fascinating aspects of being human and the world we share with others.

Why Are Humss Research Topics Important?

HumSS research topics are important because they help us understand people and society better. When we study these topics, like history or how people think and behave, we can learn from the past and make better choices in the present. It helps us solve problems, like how to create a fairer society or how to preserve our culture. HumSS research topics are like a guide that helps us make the world a better place by learning about ourselves and others.

• Understanding Society: They allow us to comprehend human societies’ complexities, values, and norms.
• Problem Solving: HumSS research helps us tackle societal issues like poverty, inequality, and discrimination.
• Cultural Preservation: It aids in preserving and celebrating diverse cultures, languages, and traditions.
• Historical Lessons: Research in HumSS enables us to learn from history, avoid past mistakes and make informed decisions.
• Personal Growth: These topics contribute to personal development by fostering critical thinking and empathy, making us more responsible global citizens.

How To Choose A Humss Research Topic

Here are some points that must be kept in mind before choosing the research topic for HumSS:

1. Pick What You Like

Choose a research topic that you find interesting. When you enjoy it, you’ll be more motivated to study and learn about it.

2. Think About Real Problems

Select a topic that relates to problems in the world, like fairness or the environment. Your research can help find solutions to these issues.

3. Check for Books and Information

Make sure there are enough books and information available for your topic. You need resources to help with your research.

4. Make Sure It’s Doable

Consider if you have enough time and skills to study your topic well. Don’t pick something too hard or complicated.

5. Ask for Help

See if you can get help from teachers or experts. They can guide you and make your research better.

Here are some points on 150+ Quantitative Research Topics For HumSS Students In 2023: 

HUMSS Research Topics in Philosophy and Religion

The HumSS strand, which encompasses Philosophy and Religion, allows students to delve into the complexities of belief systems, ethics, and the nature of existence. Below are research topics in this field:

• Examining the ethical aspects of artificial intelligence and robotics.
• Analyzing the role of religion in shaping social and cultural norms in the Philippines.
• Investigating the philosophy of environmental ethics and its relevance in sustainable development.
• Exploring the concept of free will in the context of determinism.
• Analyzing the ethical considerations of genetic engineering and cloning in the Philippines.
• Evaluating the intersection of philosophy and mental health in the Filipino context.
• Investigating the philosophical foundations of human rights and their application in the country.
• Exploring the ethical dilemmas of capital punishment in the Philippines.
• Examining the philosophy of education and its impact on pedagogical approaches.
•  Analyzing the role of religious pluralism and tolerance in Philippine society.

HUMSS Research Topics in Literature and Language

Studying Literature and Language within the HumSS strand provides students with a deeper understanding of human expression, communication, and culture. Here are research topics in this field:

•  Analyzing the themes of identity and belonging in contemporary Filipino literature.
•  Examining the impact of colonialism on the evolution of Philippine literature and language.
•  Investigating the use of language in social media and its effects on communication.
•  Exploring the role of folklore and oral traditions in Filipino literature.
•  The ethical consequences of artificial intelligence and automation are being investigated.
•  Evaluating the influence of English as a global language on Philippine languages.
•  Investigating the use of code-switching and its sociolinguistic implications in the Philippines.
•  Examining how mental health issues are portrayed in Filipino literature and media.
•  Exploring the role of translation in bridging cultural and linguistic gaps.
•  Analyzing the impact of language policies on minority languages in the country.

Quantitative Research Topics For HumSS Students In The Philippines

Quantitative Research Topics For HumSS Students involve using numerical data and statistical methods to analyze and draw conclusions about social phenomena in the Philippines.

•  Analyzing the relationship between income levels and access to quality education.
•  Examining the impact of inflation on consumer purchasing power in the Philippines.
•  Investigating factors contributing to youth unemployment rates.
•  Investigating the connection between economic expansion and environmental damage.
•  Assessing the effectiveness of government welfare programs in poverty reduction.
•  Exploring financial literacy levels among Filipinos.
•  Analyzing the economic consequences of the COVID-19 pandemic.
•  The role of FDI in the Philippine economy is being investigated.
•  Studying economic challenges faced by small and medium-sized enterprises (SMEs).
•  Analyzing the economic implications of infrastructure development programs.

Social Justice And Equity Research Topics For HumSS Students

Social justice and equity research topics in the HumSS field revolve around issues of fairness, justice, and equality in society.

•  Examining the impact of gender-based violence on access to justice.
•  Analyzing the role of social media in advocating for social justice causes.
•  Investigating the effects of government’s “war on drugs” on human rights.
•  Exploring the intersection of poverty, gender, and healthcare access.
•  Assessing the experiences of indigenous communities in pursuing justice and land rights.
•  Analyzing the effectiveness of inclusive education in promoting equity.
•  Investigating challenges faced by LGBTQ+ individuals in accessing legal rights.
•  Examining responses to juvenile offenders in the criminal justice system.
•  Analyzing discrimination’s impact on employment opportunities for people with disabilities.
•  Evaluating the effectiveness of affirmative action policies.

Cultural Studies Research Topics For HumSS Students

Cultural studies research topics in HumSS examine culture, identity, and society.

•  Analyzing the influence of K-pop culture on Filipino youth.
•  Exploring the preservation of indigenous cultures in modern Filipino society.
•  Studying the impact of Filipino cinema on cultural identity.
•  Investigating the influence of social media on cultural globalization.
•  Analyzing the cultural significance of Filipino cuisine.
•  Investigating how gender and sexuality are portrayed in Filipino media.
•  Studying the influence of colonial history on contemporary Filipino culture.
•  Investigating the significance of traditional festivals and rituals.
•  Analyzing the portrayal of mental health in Filipino literature and art.
•  Exploring the cultural implications of migration and diaspora.
• Epidemiology Research Topics
• Neuroscience Research Topics

Environmental Ethics Research Topics For HumSS Students

Environmental ethics research topics in HumSS delve into the moral and ethical considerations of environmental and sustainability.

•  Analyzing the ethics of mining practices in the Philippines.
•  Investigating the moral responsibilities of corporations in environmental conservation.
•  Examining the ethical implications of plastic pollution in Philippine waters.
•  Exploring the ethics of ecotourism and its impact on ecosystems.
•  Assessing the ethical aspects of climate change adaptation and mitigation.
•  Investigating the moral responsibility of individuals in sustainable living.
•  Analyzing the ethics of wildlife conservation and protection.
•  Exploring cultural and ethical dimensions of sustainable fishing practices.
•  Examining the ethical dilemmas of land-use conflicts and deforestation.
•  Assessing the ethics of water resource management.

Global Politics And International Relations Research Topics For HumSS Students

Global politics and international relations research topics in HumSS focus on issues related to international diplomacy, governance, and global affairs.

•  Analyzing the Philippines’ role in the South China Sea dispute.
•  Investigating the impact of globalization on Philippine sovereignty.
•  Examining the country’s involvement in regional organizations like ASEAN.
•  Exploring the Philippines’ response to global humanitarian crises.
•  Assessing the ethics of international aid and development projects.
•  Analyzing the country’s foreign policy and alliances.
•  Investigating the challenges of diplomacy in the digital age.
•  Exploring the role of non-governmental organizations in shaping policy.
•  Analyzing the influence of international organizations like the United Nations.
•  Investigating the Philippines’ stance on global issues such as climate change.

Psychology And Mental Health Research Topics For HumSS Students

Psychology and mental health research topics in HumSS involve the study of human behavior, mental health, and well-being.

•  Analyzing the impact of social media on the mental health of Filipino adolescents.
•  Investigating the stigma surrounding mental health in the Philippines.
•  Examining the effects of government policies on mental health support.
•  Exploring the psychological effects of disasters and trauma.
•  Assessing the relationship between personality traits and academic performance.
•  Investigating cultural factors affecting help-seeking behavior.
•  Analyzing the mental health challenges faced by healthcare workers during the pandemic.
•  Exploring the experiences of Filipino overseas workers and their mental well-being.
•  Studying the impact of online gaming addiction on Filipino youth.
•  Evaluating the success of school-based mental health programs.

Education And Pedagogy Research Topics For HumSS Students

Education and pedagogy research topics in HumSS encompass the study of teaching, learning, and educational systems.

•  Assessing the effectiveness of online learning during the COVID-19 pandemic.
•  Investigating the role of technology in enhancing classroom engagement.
•  Examining inclusive education practices for students with disabilities.
•  Analyzing the effects of teacher training on student outcomes.
•  Exploring alternative education models like homeschooling.
•  Studying parental involvement’s impact on student achievement.
•  Investigating sex education programs’ effectiveness in schools.
•  Exploring the role of arts education in fostering creativity.
•  Analyzing the challenges of implementing K-12 education reform.
•  Assessing standardized testing’s benefits and drawbacks in education.

History And Historical Perspectives Research Topics For HumSS Students

History and historical perspectives research topics in HumSS delve into the study of past events and their significance.

•  Reinterpreting indigenous peoples’ roles in Philippine history.
•  Analyzing the impact of Spanish colonization on Filipino culture.
•  Investigating the historical roots of political dynasties.
•  Examining the contributions of Filipino women in the fight for independence.
•  Exploring the role of propaganda and media in key historical events.
•  Assessing the legacy of martial law under Ferdinand Marcos.
•  Investigating indigenous resistance and revolts in history.
•  Studying the evolution of Philippine democracy and political institutions.
•  Analyzing the role of Filipino migrants in global history.
• Exploring cultural and historical significance through ancient artifacts.

Economics And Economic Policy Research Topics For HumSS Students

Economics and economic policy research topics in HumSS focus on economic systems, policies, and their impact on society.

• Analyzing the economic impact of natural disasters.
• Investigating microfinance’s role in poverty alleviation.
• Examining the informal economy and labor rights.
• Exploring the effects of trade policies on local industries.
• Assessing the relationship between education and income inequality.
• Analyzing the economic consequences of informal settler issues.
• Investigating agricultural modernization challenges.
• Exploring the role of foreign aid in development.
• Analyzing the economic effects of healthcare disparities.
• Investigating renewable energy adoption’s economic benefits.

Philosophy And Ethics Research Topics For HumSS Students

Philosophy and ethics research topics in HumSS involve exploring questions of morality, ethics, and philosophy.

• Examining the ethics of truth-telling in medical practice.
• Analyzing the philosophical foundations of human rights.
• Investigating ethics in artificial intelligence and automation.
• Exploring ethical dilemmas of genetic engineering and cloning.
• Assessing moral considerations in end-of-life care decisions.
• Investigating ethics in environmental conservation and sustainability.
• Analyzing the ethics of capital punishment.
• Exploring the moral responsibility of corporations in social issues.
• Assessing the ethics of data privacy and surveillance.
• Investigating ethical considerations in public health.

Healthcare And Public Health Research Topics For HumSS Students

Healthcare and public health research topics in HumSS involve studying health-related issues, healthcare systems, and public health policies.

• Analyzing the effectiveness of the Philippine healthcare system in addressing public health crises.
• Investigating healthcare disparities and their impact on marginalized communities.
• Examining factors contributing to vaccine hesitancy in the country.
• Exploring the role of traditional medicine and alternative healthcare practices in Filipino culture.
• Analyzing the mental health challenges faced by healthcare workers during the COVID-19 pandemic.
• Assessing the accessibility and affordability of healthcare services in rural areas.
• Investigating the ethical considerations of organ transplantation and donation.
• Examining the effectiveness of health education programs in preventing diseases.
• Analyzing public perceptions of the pharmaceutical industry and drug pricing.
• Investigating the social determinants of health and their impact on population health outcomes.

Exploring HumSS Research Topics in Gender Studies

Gender studies research topics in HumSS focus on issues related to gender identity, roles, and equality in society.

• Analyzing the representation of gender in Philippine media and popular culture.
• Investigating the experiences of transgender individuals in the Philippines.
• Examining the impact of religion on gender norms in Filipino society.
• Exploring the role of gender-based violence prevention programs.
• Assessing the impact of gender stereotypes on career choices and opportunities.
• Analyzing the portrayal of women in political leadership roles.
• Investigating the role of masculinity and its effects on men’s mental health.
• Exploring the experiences of LGBTQ+ youth in Philippine schools.
• Studying the intersectionality of gender, class, and race in the Philippines.
• Evaluating the effectiveness of gender mainstreaming policies in government agencies.

HumSS Research Topics in Global Governance

Research topics in global governance within HumSS focus on international diplomacy, governance structures, and global challenges.

• Analyzing the role of the Philippines in regional security alliances like the ASEAN Regional Forum.
• Investigating the country’s involvement in international peacekeeping missions.
• Examining the country’s stance on global human rights issues.
• Evaluating the effectiveness of international organizations in addressing global challenges.
• Exploring the Philippines’ participation in global climate change negotiations.
• Analyzing the country’s compliance with international treaties and agreements.
• Investigating the role of Filipino diaspora communities in global governance issues.
• Assessing the impact of globalization on Philippine sovereignty and governance.
• Analyzing the country’s foreign policy responses to global health crises.
• Exploring ethical dilemmas in international humanitarian intervention.
• Investigating the diplomatic and economic implications of the Philippines’ bilateral relations with neighboring countries in Southeast Asia.

After exploring 150+ Quantitative Research Topics For HumSS Students, now we will discuss tips for writing a HumSS research paper

Tips for Writing a HumSS Research Paper

Here are some tips for writing a HumSS Research Paper: 

#Tip 1: Choose a Clear Topic

Start your HumSS research paper by picking a topic that’s not too big. Instead of something huge like “History,” go for a smaller idea like “The Life of Ancient Egyptians.” This helps you focus and find the right information.

#Tip 2: Plan Your Paper

Before you write, make a plan. Think about what you’ll say in the beginning, middle, and end of your paper. It’s like making a roadmap for your writing journey. Planning helps you stay on track.

#Tip 3: Use Good Sources

Use trustworthy sources for your paper, like books, experts’ articles, or reliable websites. Avoid sources that might not have the right information. Trustworthy sources make your paper stronger.

#Tip 4: Say Thanks to Your Sources

When you use information from other places, it’s important to give credit. This is called citing your sources. Follow the rules for citing, like APA , MLA, or Chicago, so you don’t copy someone else’s work and show where you found your facts.

#Tip 5: Make Your Paper Better

After you finish writing, go back and fix any mistakes. Check for spelling or grammar error and make your sentences smoother. A well-edited paper is easier for others to read and makes your ideas shine.

Understanding HumSS (Humanities and Social Sciences) is the first step in your journey to exploring the world of quantitative research topics for HumSS students. These topics are crucial because they help us unravel the complexities of human behavior, society, and culture. 

In addition, we have discussed selecting the right HumSS research topic that aligns with your interests and academic goals. With 150+ quantitative research ideas for HumSS students in 2023, you have a wide array of options to choose from. Plus, we’ve shared valuable tips for writing a successful HumSS research paper. So, dive into the world of HumSS research and uncover the insights that await you!

Related Posts

Step by Step Guide on The Best Way to Finance Car

The Best Way on How to Get Fund For Business to Grow it Efficiently

Educational resources and simple solutions for your research journey

What is Quantitative Research? Definition, Methods, Types, and Examples

If you’re wondering what is quantitative research and whether this methodology works for your research study, you’re not alone. If you want a simple quantitative research definition , then it’s enough to say that this is a method undertaken by researchers based on their study requirements. However, to select the most appropriate research for their study type, researchers should know all the methods available. 

Selecting the right research method depends on a few important criteria, such as the research question, study type, time, costs, data availability, and availability of respondents. There are two main types of research methods— quantitative research  and qualitative research. The purpose of quantitative research is to validate or test a theory or hypothesis and that of qualitative research is to understand a subject or event or identify reasons for observed patterns.   

Quantitative research methods  are used to observe events that affect a particular group of individuals, which is the sample population. In this type of research, diverse numerical data are collected through various methods and then statistically analyzed to aggregate the data, compare them, or show relationships among the data. Quantitative research methods broadly include questionnaires, structured observations, and experiments.  

Here are two quantitative research examples:  

• Satisfaction surveys sent out by a company regarding their revamped customer service initiatives. Customers are asked to rate their experience on a rating scale of 1 (poor) to 5 (excellent).  
• A school has introduced a new after-school program for children, and a few months after commencement, the school sends out feedback questionnaires to the parents of the enrolled children. Such questionnaires usually include close-ended questions that require either definite answers or a Yes/No option. This helps in a quick, overall assessment of the program’s outreach and success.  

Table of Contents

What is quantitative research ? 1,2

The steps shown in the figure can be grouped into the following broad steps:  

• Theory : Define the problem area or area of interest and create a research question.  
• Hypothesis : Develop a hypothesis based on the research question. This hypothesis will be tested in the remaining steps.  
• Research design : In this step, the most appropriate quantitative research design will be selected, including deciding on the sample size, selecting respondents, identifying research sites, if any, etc.
• Data collection : This process could be extensive based on your research objective and sample size.  
• Data analysis : Statistical analysis is used to analyze the data collected. The results from the analysis help in either supporting or rejecting your hypothesis.  
• Present results : Based on the data analysis, conclusions are drawn, and results are presented as accurately as possible.  

Quantitative research characteristics 4

• Large sample size : This ensures reliability because this sample represents the target population or market. Due to the large sample size, the outcomes can be generalized to the entire population as well, making this one of the important characteristics of quantitative research .  
• Structured data and measurable variables: The data are numeric and can be analyzed easily. Quantitative research involves the use of measurable variables such as age, salary range, highest education, etc.  
• Easy-to-use data collection methods : The methods include experiments, controlled observations, and questionnaires and surveys with a rating scale or close-ended questions, which require simple and to-the-point answers; are not bound by geographical regions; and are easy to administer.  
• Data analysis : Structured and accurate statistical analysis methods using software applications such as Excel, SPSS, R. The analysis is fast, accurate, and less effort intensive.  
• Reliable : The respondents answer close-ended questions, their responses are direct without ambiguity and yield numeric outcomes, which are therefore highly reliable.  
• Reusable outcomes : This is one of the key characteristics – outcomes of one research can be used and replicated in other research as well and is not exclusive to only one study.  

Quantitative research methods 5

Quantitative research methods are classified into two types—primary and secondary.  

Primary quantitative research method:

In this type of quantitative research , data are directly collected by the researchers using the following methods.

– Survey research : Surveys are the easiest and most commonly used quantitative research method . They are of two types— cross-sectional and longitudinal.   

->Cross-sectional surveys are specifically conducted on a target population for a specified period, that is, these surveys have a specific starting and ending time and researchers study the events during this period to arrive at conclusions. The main purpose of these surveys is to describe and assess the characteristics of a population. There is one independent variable in this study, which is a common factor applicable to all participants in the population, for example, living in a specific city, diagnosed with a specific disease, of a certain age group, etc. An example of a cross-sectional survey is a study to understand why individuals residing in houses built before 1979 in the US are more susceptible to lead contamination.  

->Longitudinal surveys are conducted at different time durations. These surveys involve observing the interactions among different variables in the target population, exposing them to various causal factors, and understanding their effects across a longer period. These studies are helpful to analyze a problem in the long term. An example of a longitudinal study is the study of the relationship between smoking and lung cancer over a long period.  

– Descriptive research : Explains the current status of an identified and measurable variable. Unlike other types of quantitative research , a hypothesis is not needed at the beginning of the study and can be developed even after data collection. This type of quantitative research describes the characteristics of a problem and answers the what, when, where of a problem. However, it doesn’t answer the why of the problem and doesn’t explore cause-and-effect relationships between variables. Data from this research could be used as preliminary data for another study. Example: A researcher undertakes a study to examine the growth strategy of a company. This sample data can be used by other companies to determine their own growth strategy.  

– Correlational research : This quantitative research method is used to establish a relationship between two variables using statistical analysis and analyze how one affects the other. The research is non-experimental because the researcher doesn’t control or manipulate any of the variables. At least two separate sample groups are needed for this research. Example: Researchers studying a correlation between regular exercise and diabetes.  

– Causal-comparative research : This type of quantitative research examines the cause-effect relationships in retrospect between a dependent and independent variable and determines the causes of the already existing differences between groups of people. This is not a true experiment because it doesn’t assign participants to groups randomly. Example: To study the wage differences between men and women in the same role. For this, already existing wage information is analyzed to understand the relationship.  

– Experimental research : This quantitative research method uses true experiments or scientific methods for determining a cause-effect relation between variables. It involves testing a hypothesis through experiments, in which one or more independent variables are manipulated and then their effect on dependent variables are studied. Example: A researcher studies the importance of a drug in treating a disease by administering the drug in few patients and not administering in a few.  

The following data collection methods are commonly used in primary quantitative research :  

• Sampling : The most common type is probability sampling, in which a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are—simple random, systematic, stratified, and cluster sampling.  
• Interviews : These are commonly telephonic or face-to-face.  
• Observations : Structured observations are most commonly used in quantitative research . In this method, researchers make observations about specific behaviors of individuals in a structured setting.  
• Document review : Reviewing existing research or documents to collect evidence for supporting the quantitative research .  
• Surveys and questionnaires : Surveys can be administered both online and offline depending on the requirement and sample size.

The data collected can be analyzed in several ways in quantitative research , as listed below:  

• Cross-tabulation —Uses a tabular format to draw inferences among collected data  
• MaxDiff analysis —Gauges the preferences of the respondents  
• TURF analysis —Total Unduplicated Reach and Frequency Analysis; helps in determining the market strategy for a business  
• Gap analysis —Identify gaps in attaining the desired results  
• SWOT analysis —Helps identify strengths, weaknesses, opportunities, and threats of a product, service, or organization  
• Text analysis —Used for interpreting unstructured data  

Secondary quantitative research methods :

This method involves conducting research using already existing or secondary data. This method is less effort intensive and requires lesser time. However, researchers should verify the authenticity and recency of the sources being used and ensure their accuracy.  

The main sources of secondary data are: 

• The Internet  
• Government and non-government sources  
• Public libraries  
• Educational institutions  
• Commercial information sources such as newspapers, journals, radio, TV  

When to use quantitative research 6  

Here are some simple ways to decide when to use quantitative research . Use quantitative research to:  

• recommend a final course of action  
• find whether a consensus exists regarding a particular subject  
• generalize results to a larger population  
• determine a cause-and-effect relationship between variables  
• describe characteristics of specific groups of people  
• test hypotheses and examine specific relationships  
• identify and establish size of market segments  

A research case study to understand when to use quantitative research 7  

Context: A study was undertaken to evaluate a major innovation in a hospital’s design, in terms of workforce implications and impact on patient and staff experiences of all single-room hospital accommodations. The researchers undertook a mixed methods approach to answer their research questions. Here, we focus on the quantitative research aspect.  

Research questions : What are the advantages and disadvantages for the staff as a result of the hospital’s move to the new design with all single-room accommodations? Did the move affect staff experience and well-being and improve their ability to deliver high-quality care?  

Method: The researchers obtained quantitative data from three sources:  

• Staff activity (task time distribution): Each staff member was shadowed by a researcher who observed each task undertaken by the staff, and logged the time spent on each activity.  
• Staff travel distances : The staff were requested to wear pedometers, which recorded the distances covered.  
• Staff experience surveys : Staff were surveyed before and after the move to the new hospital design.  

Results of quantitative research : The following observations were made based on quantitative data analysis:  

• The move to the new design did not result in a significant change in the proportion of time spent on different activities.  
• Staff activity events observed per session were higher after the move, and direct care and professional communication events per hour decreased significantly, suggesting fewer interruptions and less fragmented care.  
• A significant increase in medication tasks among the recorded events suggests that medication administration was integrated into patient care activities.  
• Travel distances increased for all staff, with highest increases for staff in the older people’s ward and surgical wards.  
• Ratings for staff toilet facilities, locker facilities, and space at staff bases were higher but those for social interaction and natural light were lower.  

Advantages of quantitative research 1,2

When choosing the right research methodology, also consider the advantages of quantitative research and how it can impact your study.  

• Quantitative research methods are more scientific and rational. They use quantifiable data leading to objectivity in the results and avoid any chances of ambiguity.  
• This type of research uses numeric data so analysis is relatively easier .  
• In most cases, a hypothesis is already developed and quantitative research helps in testing and validatin g these constructed theories based on which researchers can make an informed decision about accepting or rejecting their theory.  
• The use of statistical analysis software ensures quick analysis of large volumes of data and is less effort intensive.  
• Higher levels of control can be applied to the research so the chances of bias can be reduced.  
• Quantitative research is based on measured value s, facts, and verifiable information so it can be easily checked or replicated by other researchers leading to continuity in scientific research.  

Disadvantages of quantitative research 1,2

Quantitative research may also be limiting; take a look at the disadvantages of quantitative research. 

• Experiments are conducted in controlled settings instead of natural settings and it is possible for researchers to either intentionally or unintentionally manipulate the experiment settings to suit the results they desire.  
• Participants must necessarily give objective answers (either one- or two-word, or yes or no answers) and the reasons for their selection or the context are not considered.   
• Inadequate knowledge of statistical analysis methods may affect the results and their interpretation.  
• Although statistical analysis indicates the trends or patterns among variables, the reasons for these observed patterns cannot be interpreted and the research may not give a complete picture.  
• Large sample sizes are needed for more accurate and generalizable analysis .  
• Quantitative research cannot be used to address complex issues.  

Frequently asked questions on  quantitative research    

Q:  What is the difference between quantitative research and qualitative research? 1  

A:  The following table lists the key differences between quantitative research and qualitative research, some of which may have been mentioned earlier in the article.  

Q:  What is the difference between reliability and validity? 8,9    

A:  The term reliability refers to the consistency of a research study. For instance, if a food-measuring weighing scale gives different readings every time the same quantity of food is measured then that weighing scale is not reliable. If the findings in a research study are consistent every time a measurement is made, then the study is considered reliable. However, it is usually unlikely to obtain the exact same results every time because some contributing variables may change. In such cases, a correlation coefficient is used to assess the degree of reliability. A strong positive correlation between the results indicates reliability.  

Validity can be defined as the degree to which a tool actually measures what it claims to measure. It helps confirm the credibility of your research and suggests that the results may be generalizable. In other words, it measures the accuracy of the research.  

The following table gives the key differences between reliability and validity.  

Q:  What is mixed methods research? 10

A:  A mixed methods approach combines the characteristics of both quantitative research and qualitative research in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method. A mixed methods research design is useful in case of research questions that cannot be answered by either quantitative research or qualitative research alone. However, this method could be more effort- and cost-intensive because of the requirement of more resources. The figure 3 shows some basic mixed methods research designs that could be used.  

Thus, quantitative research is the appropriate method for testing your hypotheses and can be used either alone or in combination with qualitative research per your study requirements. We hope this article has provided an insight into the various facets of quantitative research , including its different characteristics, advantages, and disadvantages, and a few tips to quickly understand when to use this research method.  

References  

• Qualitative vs quantitative research: Differences, examples, & methods. Simply Psychology. Accessed Feb 28, 2023. https://simplypsychology.org/qualitative-quantitative.html#Quantitative-Research  
• Your ultimate guide to quantitative research. Qualtrics. Accessed February 28, 2023. https://www.qualtrics.com/uk/experience-management/research/quantitative-research/  
• The steps of quantitative research. Revise Sociology. Accessed March 1, 2023. https://revisesociology.com/2017/11/26/the-steps-of-quantitative-research/  
• What are the characteristics of quantitative research? Marketing91. Accessed March 1, 2023. https://www.marketing91.com/characteristics-of-quantitative-research/  
• Quantitative research: Types, characteristics, methods, & examples. ProProfs Survey Maker. Accessed February 28, 2023. https://www.proprofssurvey.com/blog/quantitative-research/#Characteristics_of_Quantitative_Research  
• Qualitative research isn’t as scientific as quantitative methods. Kmusial blog. Accessed March 5, 2023. https://kmusial.wordpress.com/2011/11/25/qualitative-research-isnt-as-scientific-as-quantitative-methods/  
• Maben J, Griffiths P, Penfold C, et al. Evaluating a major innovation in hospital design: workforce implications and impact on patient and staff experiences of all single room hospital accommodation. Southampton (UK): NIHR Journals Library; 2015 Feb. (Health Services and Delivery Research, No. 3.3.) Chapter 5, Case study quantitative data findings. Accessed March 6, 2023. https://www.ncbi.nlm.nih.gov/books/NBK274429/  
• McLeod, S. A. (2007).  What is reliability?  Simply Psychology. www.simplypsychology.org/reliability.html  
• Reliability vs validity: Differences & examples. Accessed March 5, 2023. https://statisticsbyjim.com/basics/reliability-vs-validity/  
• Mixed methods research. Community Engagement Program. Harvard Catalyst. Accessed February 28, 2023. https://catalyst.harvard.edu/community-engagement/mmr  

Editage All Access is a subscription-based platform that unifies the best AI tools and services designed to speed up, simplify, and streamline every step of a researcher’s journey. The Editage All Access Pack is a one-of-a-kind subscription that unlocks full access to an AI writing assistant, literature recommender, journal finder, scientific illustration tool, and exclusive discounts on professional publication services from Editage.  

Based on 22+ years of experience in academia, Editage All Access empowers researchers to put their best research forward and move closer to success. Explore our top AI Tools pack, AI Tools + Publication Services pack, or Build Your Own Plan. Find everything a researcher needs to succeed, all in one place –  Get All Access now starting at just $14 a month !    

Related Posts

Back to School – Lock-in All Access Pack for a Year at the Best Price

Research Paper Appendix: Format and Examples

• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

• Quantitative Methods
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques . Quantitative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon.

Babbie, Earl R. The Practice of Social Research . 12th ed. Belmont, CA: Wadsworth Cengage, 2010; Muijs, Daniel. Doing Quantitative Research in Education with SPSS . 2nd edition. London: SAGE Publications, 2010.

Need Help Locating Statistics?

Resources for locating data and statistics can be found here:

Statistics & Data Research Guide

Characteristics of Quantitative Research

Your goal in conducting quantitative research study is to determine the relationship between one thing [an independent variable] and another [a dependent or outcome variable] within a population. Quantitative research designs are either descriptive [subjects usually measured once] or experimental [subjects measured before and after a treatment]. A descriptive study establishes only associations between variables; an experimental study establishes causality.

Quantitative research deals in numbers, logic, and an objective stance. Quantitative research focuses on numeric and unchanging data and detailed, convergent reasoning rather than divergent reasoning [i.e., the generation of a variety of ideas about a research problem in a spontaneous, free-flowing manner].

Its main characteristics are :

• The data is usually gathered using structured research instruments.
• The results are based on larger sample sizes that are representative of the population.
• The research study can usually be replicated or repeated, given its high reliability.
• Researcher has a clearly defined research question to which objective answers are sought.
• All aspects of the study are carefully designed before data is collected.
• Data are in the form of numbers and statistics, often arranged in tables, charts, figures, or other non-textual forms.
• Project can be used to generalize concepts more widely, predict future results, or investigate causal relationships.
• Researcher uses tools, such as questionnaires or computer software, to collect numerical data.

The overarching aim of a quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is observed.

  Things to keep in mind when reporting the results of a study using quantitative methods :

• Explain the data collected and their statistical treatment as well as all relevant results in relation to the research problem you are investigating. Interpretation of results is not appropriate in this section.
• Report unanticipated events that occurred during your data collection. Explain how the actual analysis differs from the planned analysis. Explain your handling of missing data and why any missing data does not undermine the validity of your analysis.
• Explain the techniques you used to "clean" your data set.
• Choose a minimally sufficient statistical procedure ; provide a rationale for its use and a reference for it. Specify any computer programs used.
• Describe the assumptions for each procedure and the steps you took to ensure that they were not violated.
• When using inferential statistics , provide the descriptive statistics, confidence intervals, and sample sizes for each variable as well as the value of the test statistic, its direction, the degrees of freedom, and the significance level [report the actual p value].
• Avoid inferring causality , particularly in nonrandomized designs or without further experimentation.
• Use tables to provide exact values ; use figures to convey global effects. Keep figures small in size; include graphic representations of confidence intervals whenever possible.
• Always tell the reader what to look for in tables and figures .

NOTE:   When using pre-existing statistical data gathered and made available by anyone other than yourself [e.g., government agency], you still must report on the methods that were used to gather the data and describe any missing data that exists and, if there is any, provide a clear explanation why the missing data does not undermine the validity of your final analysis.

Babbie, Earl R. The Practice of Social Research . 12th ed. Belmont, CA: Wadsworth Cengage, 2010; Brians, Craig Leonard et al. Empirical Political Analysis: Quantitative and Qualitative Research Methods . 8th ed. Boston, MA: Longman, 2011; McNabb, David E. Research Methods in Public Administration and Nonprofit Management: Quantitative and Qualitative Approaches . 2nd ed. Armonk, NY: M.E. Sharpe, 2008; Quantitative Research Methods. Writing@CSU. Colorado State University; Singh, Kultar. Quantitative Social Research Methods . Los Angeles, CA: Sage, 2007.

Basic Research Design for Quantitative Studies

Before designing a quantitative research study, you must decide whether it will be descriptive or experimental because this will dictate how you gather, analyze, and interpret the results. A descriptive study is governed by the following rules: subjects are generally measured once; the intention is to only establish associations between variables; and, the study may include a sample population of hundreds or thousands of subjects to ensure that a valid estimate of a generalized relationship between variables has been obtained. An experimental design includes subjects measured before and after a particular treatment, the sample population may be very small and purposefully chosen, and it is intended to establish causality between variables. Introduction The introduction to a quantitative study is usually written in the present tense and from the third person point of view. It covers the following information:

• Identifies the research problem -- as with any academic study, you must state clearly and concisely the research problem being investigated.
• Reviews the literature -- review scholarship on the topic, synthesizing key themes and, if necessary, noting studies that have used similar methods of inquiry and analysis. Note where key gaps exist and how your study helps to fill these gaps or clarifies existing knowledge.
• Describes the theoretical framework -- provide an outline of the theory or hypothesis underpinning your study. If necessary, define unfamiliar or complex terms, concepts, or ideas and provide the appropriate background information to place the research problem in proper context [e.g., historical, cultural, economic, etc.].

Methodology The methods section of a quantitative study should describe how each objective of your study will be achieved. Be sure to provide enough detail to enable the reader can make an informed assessment of the methods being used to obtain results associated with the research problem. The methods section should be presented in the past tense.

• Study population and sampling -- where did the data come from; how robust is it; note where gaps exist or what was excluded. Note the procedures used for their selection;
• Data collection – describe the tools and methods used to collect information and identify the variables being measured; describe the methods used to obtain the data; and, note if the data was pre-existing [i.e., government data] or you gathered it yourself. If you gathered it yourself, describe what type of instrument you used and why. Note that no data set is perfect--describe any limitations in methods of gathering data.
• Data analysis -- describe the procedures for processing and analyzing the data. If appropriate, describe the specific instruments of analysis used to study each research objective, including mathematical techniques and the type of computer software used to manipulate the data.

Results The finding of your study should be written objectively and in a succinct and precise format. In quantitative studies, it is common to use graphs, tables, charts, and other non-textual elements to help the reader understand the data. Make sure that non-textual elements do not stand in isolation from the text but are being used to supplement the overall description of the results and to help clarify key points being made. Further information about how to effectively present data using charts and graphs can be found here .

• Statistical analysis -- how did you analyze the data? What were the key findings from the data? The findings should be present in a logical, sequential order. Describe but do not interpret these trends or negative results; save that for the discussion section. The results should be presented in the past tense.

Discussion Discussions should be analytic, logical, and comprehensive. The discussion should meld together your findings in relation to those identified in the literature review, and placed within the context of the theoretical framework underpinning the study. The discussion should be presented in the present tense.

• Interpretation of results -- reiterate the research problem being investigated and compare and contrast the findings with the research questions underlying the study. Did they affirm predicted outcomes or did the data refute it?
• Description of trends, comparison of groups, or relationships among variables -- describe any trends that emerged from your analysis and explain all unanticipated and statistical insignificant findings.
• Discussion of implications – what is the meaning of your results? Highlight key findings based on the overall results and note findings that you believe are important. How have the results helped fill gaps in understanding the research problem?
• Limitations -- describe any limitations or unavoidable bias in your study and, if necessary, note why these limitations did not inhibit effective interpretation of the results.

Conclusion End your study by to summarizing the topic and provide a final comment and assessment of the study.

• Summary of findings – synthesize the answers to your research questions. Do not report any statistical data here; just provide a narrative summary of the key findings and describe what was learned that you did not know before conducting the study.
• Recommendations – if appropriate to the aim of the assignment, tie key findings with policy recommendations or actions to be taken in practice.
• Future research – note the need for future research linked to your study’s limitations or to any remaining gaps in the literature that were not addressed in your study.

Black, Thomas R. Doing Quantitative Research in the Social Sciences: An Integrated Approach to Research Design, Measurement and Statistics . London: Sage, 1999; Gay,L. R. and Peter Airasain. Educational Research: Competencies for Analysis and Applications . 7th edition. Upper Saddle River, NJ: Merril Prentice Hall, 2003; Hector, Anestine. An Overview of Quantitative Research in Composition and TESOL . Department of English, Indiana University of Pennsylvania; Hopkins, Will G. “Quantitative Research Design.” Sportscience 4, 1 (2000); "A Strategy for Writing Up Research Results. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper." Department of Biology. Bates College; Nenty, H. Johnson. "Writing a Quantitative Research Thesis." International Journal of Educational Science 1 (2009): 19-32; Ouyang, Ronghua (John). Basic Inquiry of Quantitative Research . Kennesaw State University.

Strengths of Using Quantitative Methods

Quantitative researchers try to recognize and isolate specific variables contained within the study framework, seek correlation, relationships and causality, and attempt to control the environment in which the data is collected to avoid the risk of variables, other than the one being studied, accounting for the relationships identified.

Among the specific strengths of using quantitative methods to study social science research problems:

• Allows for a broader study, involving a greater number of subjects, and enhancing the generalization of the results;
• Allows for greater objectivity and accuracy of results. Generally, quantitative methods are designed to provide summaries of data that support generalizations about the phenomenon under study. In order to accomplish this, quantitative research usually involves few variables and many cases, and employs prescribed procedures to ensure validity and reliability;
• Applying well established standards means that the research can be replicated, and then analyzed and compared with similar studies;
• You can summarize vast sources of information and make comparisons across categories and over time; and,
• Personal bias can be avoided by keeping a 'distance' from participating subjects and using accepted computational techniques .

Babbie, Earl R. The Practice of Social Research . 12th ed. Belmont, CA: Wadsworth Cengage, 2010; Brians, Craig Leonard et al. Empirical Political Analysis: Quantitative and Qualitative Research Methods . 8th ed. Boston, MA: Longman, 2011; McNabb, David E. Research Methods in Public Administration and Nonprofit Management: Quantitative and Qualitative Approaches . 2nd ed. Armonk, NY: M.E. Sharpe, 2008; Singh, Kultar. Quantitative Social Research Methods . Los Angeles, CA: Sage, 2007.

Limitations of Using Quantitative Methods

Quantitative methods presume to have an objective approach to studying research problems, where data is controlled and measured, to address the accumulation of facts, and to determine the causes of behavior. As a consequence, the results of quantitative research may be statistically significant but are often humanly insignificant.

Some specific limitations associated with using quantitative methods to study research problems in the social sciences include:

• Quantitative data is more efficient and able to test hypotheses, but may miss contextual detail;
• Uses a static and rigid approach and so employs an inflexible process of discovery;
• The development of standard questions by researchers can lead to "structural bias" and false representation, where the data actually reflects the view of the researcher instead of the participating subject;
• Results provide less detail on behavior, attitudes, and motivation;
• Researcher may collect a much narrower and sometimes superficial dataset;
• Results are limited as they provide numerical descriptions rather than detailed narrative and generally provide less elaborate accounts of human perception;
• The research is often carried out in an unnatural, artificial environment so that a level of control can be applied to the exercise. This level of control might not normally be in place in the real world thus yielding "laboratory results" as opposed to "real world results"; and,
• Preset answers will not necessarily reflect how people really feel about a subject and, in some cases, might just be the closest match to the preconceived hypothesis.

Research Tip

Finding Examples of How to Apply Different Types of Research Methods

SAGE publications is a major publisher of studies about how to design and conduct research in the social and behavioral sciences. Their SAGE Research Methods Online and Cases database includes contents from books, articles, encyclopedias, handbooks, and videos covering social science research design and methods including the complete Little Green Book Series of Quantitative Applications in the Social Sciences and the Little Blue Book Series of Qualitative Research techniques. The database also includes case studies outlining the research methods used in real research projects. This is an excellent source for finding definitions of key terms and descriptions of research design and practice, techniques of data gathering, analysis, and reporting, and information about theories of research [e.g., grounded theory]. The database covers both qualitative and quantitative research methods as well as mixed methods approaches to conducting research.

SAGE Research Methods Online and Cases

• << Previous: Qualitative Methods
• Next: Insiderness >>
• Last Updated: Aug 29, 2024 8:43 AM
• URL: https://libguides.usc.edu/writingguide

• 2023 AERA in the News
• 2022 AERA in the News
• 2021 AERA In the News
• 2020 AERA In the News
• 2019 AERA In the News
• 2018 AERA In the News
• 2017 AERA In the News
• 2016 AERA In the News
• 2015 AERA In the News
• 2014 AERA In the News
• 2013 AERA In the News
• 2023 AERA News Releases
• 2022 AERA News Releases
• 2021 AERA News Releases
• 2020 AERA News Releases
• 2019 AERA News Releases
• 2018 AERA News Releases
• 2017 AERA News Releases
• 2016 AERA News Releases
• 2015 AERA News Releases
• 2014 AERA News Releases
• 2013 AERA News Releases
• 2012 AERA News Releases
• 2011 News Releases
• 2010 News Releases
• 2009 News Releases
• 2008 News Releases
• 2007 News Releases
• 2006 News Releases
• 2005 News Releases
• 2004 News Releases
• AERA Research Archive
• Trending Topic Research Files
• Communication Resources for Researchers
• AERA Highlights Archival Issues
• AERA Video Gallery

Share 

	STEM Science, Technology Engineering, and Mathematics (STEM) is one of the most talked about topics in education, emphasizing research, problem solving, critical thinking, and creativity. The following compendium of open-access articles are inclusive of all substantive AERA journal content regarding STEM published since 1969. This page will be updated as new articles are published.  Jason Jabbari, Yung Chun, Wenrui Huang, Stephen Roll October 2023 Researchers found that program acceptance was significantly associated with increased earnings and probabilities of working in a science, technology, engineering, and math (STEM) profession. Robert R. Martinez, Jr., James M. Ellis September 2023 Researchers found that STEM-CR involves four related yet distinct dimensions of Think, Know, Act, and Go. Results also demonstrated soundness of these STEM-CR dimensions by race and gender (key learning skills and techniques/Act). Rosemary J. Perez, Rudisang Motshubi, Sarah L. Rodriguez April 2023 Researchers found that because participants did not attend to how racism and White supremacy fostered negative climate, their strategies (e.g., increased recruitment, committees, workshops) left systemic racism intact and (un)intentionally amplified labor for racially minoritized graduate students and faculty champions who often led change efforts with little support. Kathleen Lynch, Lily An, Zid Mancenido , July 2022 Researchers found an average weighted impact estimate of +0.10 standard deviations on mathematics achievement outcomes. Luis A. Leyva, R. Taylor McNeill, B R. Balmer, Brittany L. Marshall, V. Elizabeth King, Zander D. Alley , May 2022 Researchers address this research gap by exploring four Black queer students’ experiences of oppression and agency in navigating invisibility as STEM majors. Angela Starrett, Matthew J. Irvin, Christine Lotter, Jan A. Yow , May 2022 Researchers found that the more place-based workforce development adolescents reported, the higher their expectancy beliefs, STEM career interest, and rural community aspirations. Matthew H. Rafalow, Cassidy Puckett May 2022 Researchers found that educational resources, like digital technologies, are also sorted by schools. Pamela Burnard, Laura Colucci-Gray, Carolyn Cooke  April 2022 This article makes a case for repositioning STEAM education as democratized enactments of transdisciplinary education, where arts and sciences are not separate or even separable endeavors. Salome Wörner, Jochen Kuhn, Katharina Scheiter , April 2022 Researchers conclude that for combining real and virtual experiments, apart from the individual affordances and the learning objectives of the different experiment types, especially their specific function for the learning task must be considered. Seung-hyun Han, Eunjung Grace Oh, Sun “Pil” Kang April 2022 Researchers found that the knowledge sharing mechanism and student learning outcomes can be explained in terms of their social capital within social networks. Barbara Schneider, Joseph Krajcik, Jari Lavonen, Katariina Salmela-Aro, Christopher Klager, Lydia Bradford, I-Chien Chen, Quinton Baker, Israel Touitou, Deborah Peek-Brown, Rachel Marias Dezendorf, Sarah Maestrales, Kayla Bartz March 2022  Researchers found that improving secondary school science learning is achievable with a coherent system comprising teacher and student learning experiences, professional learning, and formative unit assessments that support students in “doing” science. Paulo Tan, Alexis Padilla, Rachel Lambert , March 2022 Researchers found that studies continue to avoid meaningful intersectional considerations of race and disability. Ta-yang Hsieh, Sandra D. Simpkins March 2022 Researchers found patterns with overall high/low beliefs, patterns with varying levels of motivational beliefs, and patterns characterized by domain differentiation. Jonté A. Myers, Bradley S. Witzel, Sarah R. Powell, Hongli Li, Terri D. Pigott, Yan Ping Xin, Elizabeth M. Hughes , February 2022 Findings of meta-regression analyses showed several moderators, such as sample composition, group size, intervention dosage, group assignment approach, interventionist, year of publication, and dependent measure type, significantly explained heterogeneity in effects across studies. Grace A. Chen, Ilana S. Horn , January 2022 The findings from this review highlight the interconnectedness of structures and individual lives, of the material and ideological elements of marginalization, of intersectionality and within-group heterogeneity, and of histories and institutions. Victor R. Lee, Michelle Hoda Wilkerson, Kathryn Lanouette December 2021 Researchers offer an interdisciplinary framework based on literature from multiple bodies of educational research to inform design, teaching and research for more effective, responsible, and inclusive student learning experiences with and about data. Ido Davidesco, Camillia Matuk, Dana Bevilacqua, David Poeppel, Suzanne Dikker December 2021 This essay critically evaluates the value added by portable brain technologies in education research and outlines a proposed research agenda, centered around questions related to student engagement, cognitive load, and self-regulation. Guan K. Saw, Charlotte A. Agger December 2021 Researchers found that during high school rural and small-town students shifted away from STEM fields and that geographic disparities in postsecondary STEM participation were largely explained by students’ demographics and precollege STEM career aspirations and academic preparation. Kyle M. Whitcomb, Sonja Cwik, Chandralekha Singh November 2021 Researchers found that on average across all years of study, underrepresented minority (URM) students experience a larger penalty to their mean overall and STEM GPA than even the most disadvantaged non-URM students. Lana M. Minshew, Amanda A. Olsen, Jacqueline E. McLaughlin , October 2021 Researchers found that the CA framework is a useful and effective model for supporting faculty in cultivating rich learning opportunities for STEM graduate students. Xin Lin, Sarah R. Powell , October 2021 Findings suggested fluency in both mathematics and reading, as well as working memory, yielded greater impacts on subsequent mathematics performance. Christine L. Bae, Daphne C. Mills, Fa Zhang, Martinique Sealy, Lauren Cabrera, Marquita Sea , September 2021 This systematic literature review is guided by a complex systems framework to organize and synthesize empirical studies of science talk in urban classrooms across individual (student or teacher), collective (interpersonal), and contextual (sociocultural, historical) planes. Toya Jones Frank, Marvin G. Powell, Jenice L. View, Christina Lee, Jay A. Bradley, Asia Williams  August/September 2021 Researchers found that teachers’ experiences of microaggressions accounted for most of the variance in our modeling of teachers’ thoughts of leaving the profession. Ebony McGee, Yuan Fang, Yibin (Amanda) Ni, Thema Monroe-White August 2021 Researchers found that 40.7% of the respondents reported that their career plans have been affected by Trump’s antiscience policies, 54.5% by the COVID-19 pandemic. Martha Cecilia Bottia, Roslyn Arlin Mickelson, Cayce Jamil, Kyleigh Moniz, Leanne Barry , May 2021 Consistent with cumulative disadvantage and critical race theories, findings reveal that the disproportionality of racially minoritized students in STEM is related to their inferior secondary school preparation; the presence of racialized lower quality educational contexts; reduced levels of psychosocial factors associated with STEM success; less exposure to inclusive and appealing curricula and instruction; lower levels of family social, cultural, and financial capital that foster academic outcomes; and fewer prospects for supplemental STEM learning opportunities. Policy implications of findings are discussed. Iris Daruwala, Shani Bretas, Douglas D. Ready  April 2021 Researchers describe how teachers, school leaders, and program staff navigated institutional pressures to improve state grade-level standardized test scores while implementing tasks and technologies designed to personalize student learning. Michael A. Gottfried, Jay Plasman, Jennifer A. Freeman, Shaun Dougherty March 2021 Researchers found that students with learning disabilities were more likely to earn more units in CTE courses compared with students without disabilities. Ebony Omotola McGee  December 2020 This manuscript also discusses how universities institutionalize diversity mentoring programs designed mostly to fix (read “assimilate”) underrepresented students of color while ignoring or minimizing the role of the STEM departments in creating racially hostile work and educational spaces. Miray Tekkumru-Kisa, Mary Kay Stein, Walter Doyle  November 2020 The purpose of this article is to revisit theory and research on tasks, a construct introduced by Walter Doyle nearly 40 years ago. Elizabeth S. Park, Federick Ngo November 2020 Researchers found that lower math placement may have supported women, and to a lesser extent URM students, in completing transferable STEM credits. Karisma Morton, Catherine Riegle-Crumb  August/September 2020 Results of regression analyses reveal that, net of school, teacher, and student characteristics, the time that teachers report spending on algebra and more advanced content in eighth grade algebra classes is significantly lower in schools that are predominantly Black compared to those that are not predominantly minority. Implications for future research are discussed. Qi Zhang, Jessaca Spybrook, Fatih Unlu , July 2020 Researchers consider strategies to maximize the efficiency of the study design when both student and teacher effects are of primary interest. Jennifer Lin Russell, Richard Correnti, Mary Kay Stein, Ally Thomas, Victoria Bill, Laurie Speranzo , July 20, 2020 Analysis of videotaped coaching conversations and teaching events suggests that model-trained coaches improved their capacity to use a high-leverage coaching practice—deep and specific prelesson planning conversations—and that growth in this practice predicted teaching improvement, specifically increased opportunities for students to engage in conceptual thinking. Maithreyi Gopalan, Kelly Rosinger, Jee Bin Ahn , April 21, 2020 The overarching purpose of this chapter is to explore and document the growth, applicability, promise, and limitations of quasi-experimental research designs in education research. Thomas M. Philip, Ayush Gupta , April 21, 2020 By bringing this collection of articles together, this chapter provides collective epistemic and empirical weight to claims of power and learning as co-constituted and co-constructed through interactional, microgenetic, and structural dynamics. Steve Graham, Sharlene A. Kiuhara, Meade MacKay , March 19, 2020 This meta-analysis examined if students writing about content material in science, social studies, and mathematics facilitated learning. Janina Roloff, Uta Klusmann, Oliver Lüdtke, Ulrich Trautwein , January 2020  Multilevel regression analyses revealed that agreeableness, high school GPA, and the second state examination grade predicted teachers’ instructional quality. : Contemporary Views on STEM Subjects and Language With English Learners Okhee Lee, Amy Stephens , 2020  With the release of the consensus report , the authors highlight foundational constructs and perspectives associated with STEM subjects and language with English learners that frame the report. Angela Calabrese Barton and Edna Tan , 2020  This essay presents a rightful presence framework to guide the study of teaching and learning in justice-oriented ways. Day Greenberg, Angela Calabrese Barton, Carmen Turner, Kelly Hardy, Akeya Roper, Candace Williams, Leslie Rupert Herrenkohl, Elizabeth A. Davis, Tammy Tasker , 2020 Researchers  report on how one community builds capacity for disrupting injustice and supporting each other during the COVID-19 crisis. Tatiana Melguizo, Federick Ngo , 2020 This study explores the extent to which “college-ready” students, by high school standards, are assigned to remedial courses in college. Karisma Morton and Catherine Riegle-Crumb , 2020 Results of regression analyses reveal that, net of school, teacher, and student characteristics, the time that teachers report spending on algebra and more advanced content in eighth grade algebra classes is significantly lower in schools that are predominantly Black compared to those that are not predominantly minority. Implications for future research are discussed. Jonathan D. Schweig, Julia H. Kaufman, and V. Darleen Opfer , 2020 Researchers found that there are both substantial fluctuations in students’ engagement in these practices and reported cognitive demand from day to day, as well as large differences across teachers. David Blazar and Casey Archer , 2020 Researchers found that exposure to “ambitious” mathematics practices is more strongly associated with test score gains of English language learners compared to those of their peers in general education classrooms. Megan Hopkins, Hayley Weddle, Maxie Gluckman, Leslie Gautsch , December 2019  Researchers show how both researchers and practitioners facilitated research use. Adrianna Kezar, Samantha Bernstein-Sierra , October 2019 Findings suggest that Association of American Universities’ influence was a powerful motivator for institutions to alter deeply ingrained perceptions and behaviors. Denis Dumas, Daniel McNeish, Julie Sarama, Douglas Clements , October 2019 While students who receive a short-term intervention in preschool may not differ from a control group in terms of their long-term mathematics outcomes at the end of elementary school, they do exhibit significantly steeper growth curves as they approach their eventual skill level. Jessica Thompson, Jennifer Richards, Soo-Yean Shim, Karin Lohwasser, Kerry Soo Von Esch, Christine Chew, Bethany Sjoberg, Ann Morris , September 2019 Researchers used data from professional learning communities to analyze pathways into improvement work and reflective data to understand practitioners’ perspectives. Ross E. O’Hara, Betsy Sparrow , September 2019 Results indicate that interventions that target psychosocial barriers experienced by community college STEM students can increase retention and should be considered alongside broader reforms. Ran Liu, Andrea Alvarado-Urbina, Emily Hannum , September 2019 Findings reveal disparate national patterns in gender gaps across the performance distribution. Adam Kirk Edgerton , September 2019  Through an analysis of 52 interviews with state, regional, and district officials in California, Texas, Ohio, Pennsylvania, and Massachusetts, the author investigates the decline in the popularity of K–12 standards-based reform. Amy Noelle Parks , September 2019  The study suggests that more research needs to represent mathematics lessons from the perspectives of children and youth, particularly those students who engage with teachers infrequently or in atypical ways. Rajeev Darolia, Cory Koedel, Joyce B. Main, J. Felix Ndashimye, Junpeng Yan , September 30, 2019 Researchers found that differential access to high school courses does not affect postsecondary STEM enrollment or degree attainment. Laura A. Davis, Gregory C. Wolniak, Casey E. George, Glen R. Nelson , August 2019 The findings point to variation in informational quality across dimensions ranging from clarity of language use and terminology, to consistency and coherence of visual displays, which accompany navigational challenges stemming from information fragmentation and discontinuity across pages. Juan E. Saavedra, Emma Näslund-Hadley, Mariana Alfonso , August 12, 2019 Researchers present results from the first randomized experiment of a remedial inquiry-based science education program for low-performing elementary students in a developing country. F. Chris Curran, James Kitchin , July 2019 Researchers found suggestive evidence in some models (student fixed effects and regression with observable controls) that time on science instruction is related to science achievement but little evidence that the number of science topics/skills covered are related to greater science achievement. Kathleen Lynch, Heather C. Hill, Kathryn E. Gonzalez, Cynthia Pollard , June 2019 Programs saw stronger outcomes when they helped teachers learn to use curriculum materials; focused on improving teachers’ content knowledge, pedagogical content knowledge, and/or understanding of how students learn; incorporated summer workshops; and included teacher meetings to troubleshoot and discuss classroom implementation. We discuss implications for policy and practice. Elizabeth Stearns, Martha Cecilia Bottia, Jason Giersch, Roslyn Arlin Mickelson, Stephanie Moller, Nandan Jha, Melissa Dancy , June 2019  Researchers found that relative advantages in college academic performance in STEM versus non-STEM subjects do not contribute to the gender gap in STEM major declaration. Nicole Shechtman, Jeremy Roschelle, Mingyu Feng, Corinne Singleton , May 2019 As educational leaders throughout the United States adopt digital mathematics curricula and adaptive, blended approaches, the findings provide a relevant caution. Colleen M. Ganley, Robert C. Schoen, Mark LaVenia, Amanda M. Tazaz , March 2019 Factor analyses support a distinction between components of general math anxiety and anxiety about teaching math. Felicia Moore Mensah , February 2019  The implications for practice in both teacher education and science education show that educational and emotional support for teachers of color throughout their educational and professional journey is imperative to increasing and sustaining Black teachers. Herbert W. Marsh, Brooke Van Zanden, Philip D. Parker, Jiesi Guo, James Conigrave, Marjorie Seaton , February 2019  Researchers evaluated STEM coursework selection by women and men in senior high school and university, controlling achievement and expectancy-value variables. Yasemin Copur-Gencturk, Debra Plowman, Haiyan Bai , January 2019  The results showed that a focus on curricular content knowledge and examining students’ work were significantly related to teachers’ learning. Rebecca Colina Neri, Maritza Lozano, Louis M. Gomez , 2019 Researchers found that teacher resistance to CRE as a multilevel learning problem stems from (a) limited understanding and belief in the efficacy of CRE and (b) a lack of know-how needed to execute it. Russell T. Warne, Gerhard Sonnert, and Philip M. Sadler , 2019 Researchers  investigated the relationship between participation in AP mathematics courses (AP Calculus and AP Statistics) and student career interest in STEM. Catherine Riegle-Crumb, Barbara King, and Yasmiyn Irizarry , 2019  Results reveal evidence of persistent racial/ethnic inequality in STEM degree attainment not found in other fields. Eben B. Witherspoon, Paulette Vincent-Ruz, and Christian D. Schunn , 2019  Researchers found that high-performing women often graduate with lower paying, lower status degrees. Bruce Fuller, Yoonjeon Kim, Claudia Galindo, Shruti Bathia, Margaret Bridges, Greg J. Duncan, and Isabel García Valdivia , 2019 This article details the growing share of Latino children from low-income families populating schools, 1998 to 2010. Rebekka Darner , 2019 Drawing from motivated reasoning and self-determination theories, this essay builds a theoretical model of how negative emotions, thwarting of basic psychological needs, and the backfire effect interact to undermine critical evaluation of evidence, leading to science denial. Okhee Lee , 2019 As the fast-growing population of English learners (ELs) is expected to meet college- and career-ready content standards, the purpose of this article is to highlight key issues in aligning ELP standards with content standards. Mark C. Long, Dylan Conger, and Raymond McGhee, Jr. , 2019 The authors offer the first model of the components inherent in a well-implemented AP science course and the first evaluation of AP implementation with a focus on public schools newly offering the inquiry-based version of AP Biology and Chemistry courses. Yasemin Copur-Gencturk, Joseph R. Cimpian, Sarah Theule Lubienski, and Ian Thacker , 2019 Results indicate that teachers are not free of bias, and that teachers from marginalized groups may be susceptible to bias that favors stereotype-advantaged groups. Geoffrey B. Saxe and Joshua Sussman , 2019  Multilevel analysis of longitudinal data on a specialized integers and fractions assessment, as well as a California state mathematics assessment, revealed that the ELs in LMR classrooms showed greater gains than comparison ELs and gained at similar rates to their EP peers in LMR classrooms. Jordan Rickles, Jessica B. Heppen, Elaine Allensworth, Nicholas Sorensen, and Kirk Walters , 2019  The authors discuss whether it would have been appropriate to test for nominally equivalent outcomes, given that the study was initially conceived and designed to test for significant differences, and that the conclusion of no difference was not solely based on a null hypothesis test. Soobin Kim, Gregory Wallsworth, Ran Xu, Barbara Schneider, Kenneth Frank, Brian Jacob, Susan Dynarski , 2019 Using detailed Michigan high school transcript data, this article examines the effect of the MMC on various students’ course-taking and achievement outcomes. Dario Sansone , December 2018 Researchers found that students were less likely to believe that men were better than women in math or science when assigned to female teachers or to teachers who valued and listened to ideas from their students. Ebony McGee , December 2018 The authors argues that both racial groups endure emotional distress because each group responds to its marginalization with an unrelenting motivation to succeed that imposes significant costs. Barbara Means, Haiwen Wang, Xin Wei, Emi Iwatani, Vanessa Peters , November 2018 Students overall and from under-represented groups who had attended inclusive STEM high schools were significantly more likely to be in a STEM bachelor’s degree program two years after high school graduation. Paulo Tan, Kathleen King Thorius , November 2018  Results indicate identity and power tensions that worked against equitable practices. Caesar R. Jackson , November 2018 This study investigated the validity and reliability of the Motivated Strategies for Learning Questionnaire (MSLQ) for minority students enrolled in STEM courses at a historically black college/university (HBCU). Tuan D. Nguyen, Christopher Redding , September 2018 The results highlight the importance of recruiting qualified STEM teachers to work in high-poverty schools and providing supports to help them thrive and remain in the classroom. Joseph A. Taylor, Susan M. Kowalski, Joshua R. Polanin, Karen Askinas, Molly A. M. Stuhlsatz, Christopher D. Wilson, Elizabeth Tipton, Sandra Jo Wilson , August 2018 The meta-analysis examines the relationship between science education intervention effect sizes and a host of study characteristics, allowing primary researchers to access better estimates of effect sizes for a priori power analyses. The results of this meta-analysis also support programmatic decisions by setting realistic expectations about the typical magnitude of impacts for science education interventions. Brian A. Burt, Krystal L. Williams, Gordon J. M. Palmer , August 2018 Three factors are identified as helping them persist from year to year, and in many cases through completion of the doctorate: the role of family, spirituality and faith-based community, and undergraduate mentors. Anna-Lena Rottweiler, Jamie L. Taxer, Ulrike E. Nett , June 2018 Suppression improved mood in exam-related anxiety, while distraction improved mood only in non-exam-related anxiety. Gabriel Estrella, Jacky Au, Susanne M. Jaeggi, Penelope Collins , April 2018 Although an analysis of 26 articles confirmed that inquiry instruction produced significantly greater impacts on measures of science achievement for ELLs compared to direct instruction, there was still a differential learning effect suggesting greater efficacy for non-ELLs compared to ELLs. Heather C. Hill, Mark Chin , April 2018 In this article, evidence from 284 teachers suggests that accuracy can be adequately measured and relates to instruction and student outcomes. Darrell M. Hull, Krystal M. Hinerman, Sarah L. Ferguson, Qi Chen, Emma I. Näslund-Hadley , April 20, 2018 Both quantitative and qualitative evidence suggest students within this culture respond well to this relatively simple and inexpensive intervention that departs from traditional, expository math instruction in many developing countries. Erika C. Bullock , April 2018 The author reviews CME studies that employ intersectionality as a way of analyzing the complexities of oppression. Angela Calabrese Barton, Edna Tan , March 2018  Building a conceptual argument for an equity-oriented culture of making, the authors discuss the ways in which making with and in community opened opportunities for youth to project their communities’ rich culture knowledge and wisdom onto their making while also troubling and negotiating the historicized injustices they experience. Sabrina M. Solanki, Di Xu , March 2018  Researchers found that having a female instructor narrows the gender gap in terms of engagement and interest; further, both female and male students tend to respond to instructor gender. Susanne M. Jaeggi, Priti Shah , February 2018 These articles provide excellent examples for how neuroscientific approaches can complement behavioral work, and they demonstrate how understanding the neural level can help researchers develop richer models of learning and development. Danyelle T. Ireland, Kimberley Edelin Freeman, Cynthia E. Winston-Proctor, Kendra D. DeLaine, Stacey McDonald Lowe, Kamilah M. Woodson , 2018 Researchers found that (1) identity; (2) STEM interest, confidence, and persistence; (3) achievement, ability perceptions, and attributions; and (4) socializers and support systems are key themes within the experiences of Black women and girls in STEM education. Ann Y. Kim, Gale M. Sinatra, Viviane Seyranian , 2018 Findings indicate that young women experience challenges to their participation and inclusion when they are in STEM settings. Guan Saw, Chi-Ning Chang, and Hsun-Yu Chan , 2018  Results indicated that female, Black, Hispanic, and low SES students were less likely to show, maintain, and develop an interest in STEM careers during high school years. Di Xu, Sabrina Solanki, Peter McPartlan, and Brian Sato , 2018 This paper estimates the causal effects of a first-year STEM learning communities program on both cognitive and noncognitive outcomes at a large public 4-year institution. Christina S. Chhin, Katherine A. Taylor, and Wendy S. Wei , 2018 Data showed that IES has not funded any direct replications that duplicate all aspects of the original study, but almost half of the funded grant applications can be considered conceptual replications that vary one or more dimensions of a prior study. Okhee Lee , 2018 As federal legislation requires that English language proficiency (ELP) standards are aligned with content standards, this article addresses issues and concerns in aligning ELP standards with content standards in English language arts, mathematics, and science. Jordan Rickles, Jessica B. Heppen, Elaine Allensworth, Nicholas Sorensen, and Kirk Walters , 2018 Researchers found no statistically significant differences in longer term outcomes between students in the online and face-to-face courses. Implications of these null findings are discussed. Colleen M. Ganley, Casey E. George, Joseph R. Cimpian, Martha B. Makowski , December 2017  Researchers found that perceived gender bias against women emerges as the dominant predictor of the gender balance in college majors. James P. Spillane, Megan Hopkins, Tracy M. Sweet , December 2017 This article examines the relationship between teachers’ instructional ties and their beliefs about mathematics instruction in one school district working to transform its approach to elementary mathematics education.  Susan A. Yoon, Sao-Ee Goh, Miyoung Park , December 6, 2017 Results revealed needs in five areas of research: a need to diversify the knowledge domains within which research is conducted, more research on learning about system states, agreement on the essential features of complex systems content, greater focus on contextual factors that support learning including teacher learning, and a need for more comparative research. Candace Walkington, Virginia Clinton, Pooja Shivraj , November 2017  Textual features that make problems more difficult to process appear to differentially negatively impact struggling students, while features that make language easier to process appear to differentially positively impact struggling students. Rebecca L. Matz, Benjamin P. Koester, Stefano Fiorini, Galina Grom, Linda Shepard, Charles G. Stangor, Brad Weiner, Timothy A. McKay , November 2017 Biology, chemistry, physics, accounting, and economics lecture courses regularly exhibit gendered performance differences that are statistically and materially significant, whereas lab courses in the same subjects do not. Adam V. Maltese, Christina S. Cooper , August 2017 The results reveal that although there is no singular pathway into STEM fields, self-driven interest is a large factor in persistence, especially for males, and females rely more heavily on support from others. Brian R. Belland, Andrew E. Walker, Nam Ju Kim , August 2017 Scaffolding has a consistently strong effect across student populations, STEM disciplines, and assessment levels, and a strong effect when used with most problem-centered instructional and educational levels. Di Xu, Shanna Smith Jaggars , July 2017 The findings indicate a robust negative impact of online course taking for both subjects. Maisie L. Gholson, Charles E. Wilkes , June 2017 This chapter reviews two strands of identity-based research in mathematics education related to Black children, exemplified by Martin (2000) and Nasir (2002). Sarah Theule Lubienski, Emily K. Miller, and Evthokia Stephanie Saclarides , November 2017  Using data from a survey of doctoral students at one large institution, this study finds that men submitted and published more scholarly works than women across many fields, with differences largest in natural/biological sciences and engineering.  David Blazar, Cynthia Pollard , October 2017 Drawing on classroom observations and teacher surveys, researchers find that test preparation activities predict lower quality and less ambitious mathematics instruction in upper-elementary classrooms. Nicole M. Joseph, Meseret Hailu, Denise Boston , June 2017 This integrative review used critical race theory (CRT) and Black feminism as interpretive frames to explore factors that contribute to Black women’s and girls’ persistence in the mathematics pipeline and the role these factors play in shaping their academic outcomes. Benjamin L. Wiggins, Sarah L. Eddy, Daniel Z. Grunspan, Alison J. Crowe , May 2017 Researchers describe the results of a quasi-experimental study to test the apex of the ICAP framework (interactive, constructive, active, and passive) in this ecological classroom environment. Sean Gehrke, Adrianna Kezar , May 2017  This study examines how involvement in four cross-institutional STEM faculty communities of practice is associated with local departmental and institutional change for faculty members belonging to these communities. Lawrence Ingvarson, Glenn Rowley , May 2017 This study investigated the relationship between policies related to the recruitment, selection, preparation, and certification of new teachers and (a) the quality of future teachers as measured by their mathematics content and pedagogy content knowledge and (b) student achievement in mathematics at the national level.  Will Tyson, Josipa Roksa , April 2017 This study examines how course grades and course rigor are associated with math attainment among students with similar eighth-grade standardized math test scores.  Anne K. Morris, James Hiebert , March 2017 Researchers investigated whether the content pre-service teachers studied in elementary teacher preparation mathematics courses was related to their performance on a mathematics lesson planning task 2 and 3 years after graduation.  Laura M. Desimone, Kirsten Lee Hill , March 2017 Researchers use data from a randomized controlled trial of a middle school science intervention to explore the causal mechanisms by which the intervention produced previously documented gains in student achievement. Okhee Lee , March 2017 This article focuses on how the Common Core State Standards (CCSS) and the Next Generation Science Standards (NGSS) treat “argument,” especially in Grades K–5, and the extent to which each set of standards is grounded in research literature, as claimed. Cory Koedel, Diyi Li, Morgan S. Polikoff, Tenice Hardaway, Stephani L. Wrabel , February 2017 Researchers estimate relative achievement effects of the four most commonly adopted elementary mathematics textbooks in the fall of 2008 and fall of 2009 in California. Mary Kay Stein, Richard Correnti, Debra Moore, Jennifer Lin Russell, Katelynn Kelly , January 2017 Researchers argue that large-scale, standards-based improvements in the teaching and learning of mathematics necessitate advances in theories regarding how teaching affects student learning and progress in how to measure instruction. Alan H. Schoenfeld , December 2016 The author begins by tracing the growth and change in research in mathematics education and its interdependence with research in education in general over much of the 20th century, with an emphasis on changes in research perspectives and methods and the philosophical/empirical/disciplinary approaches that underpin them.  Marcia C. Linn, Libby Gerard, Camillia Matuk, Kevin W. McElhaney , December 2016 This chapter focuses on how investigators from varied fields of inquiry who initially worked separately began to interact, eventually formed partnerships, and recently integrated their perspectives to strengthen science education. : Are Teachers’ Implicit Cognitions Another Piece of the Puzzle? Almut E. Thomas , December 2016 Drawing on expectancy-value theory, this study investigated whether teachers’ implicit science-is-male stereotypes predict between-teacher variation in males’ and females’ motivational beliefs regarding physical science.  : A By-Product of STEM College Culture? Ebony O. McGee , December 2016  The researcher found that the 38 high-achieving Black and Latino/a STEM study participants, who attended institutions with racially hostile academic spaces, deployed an arsenal of strategies (e.g., stereotype management) to deflect stereotyping and other racial assaults (e.g., racial microaggressions), which are particularly prevalent in STEM fields.  James Cowan, Dan Goldhaber, Kyle Hayes, Roddy Theobald , November 2016 Researchers discuss public policies that contribute to teacher shortages in specific subjects (e.g., STEM and special education) and specific types of schools (e.g., disadvantaged) as well as potential solutions. : A Sociological Analysis of Multimethod Data From Young Women Aged 10–16 to Explore Gendered Patterns of Post-16 Participation Louise Archer, Julie Moote, Becky Francis, Jennifer DeWitt, Lucy Yeomans , November 2016 Researchers draw on survey data from more than 13,000 year 11 (age 15/16) students and interviews with 70 students (who had been tracked from age 10 to 16), focusing in particular on seven girls who aspired to continue with physics post-16, discussing how the cultural arbitrary of physics requires these girls to be highly “exceptional,” undertaking considerable identity work and deployment of capital in order to “possibilize” a physics identity—an endeavor in which some girls are better positioned to be successful than others. Jeremy Roschelle, Mingyu Feng, Robert F. Murphy, Craig A. Mason , October 2016 In a randomized field trial with 2,850 seventh-grade mathematics students, researchers evaluated whether an educational technology intervention increased mathematics learning. : Making Research Participation Instructionally Effective Sherry A. Southerland, Ellen M. Granger, Roxanne Hughes, Patrick Enderle, Fengfeng Ke, Katrina Roseler, Yavuz Saka, Miray Tekkumru-Kisa , October 2016 As current reform efforts in science place a premium on student sense making and participation in the practices of science, researchers use a close examination of 106 science teachers participating in Research Experiences for Teachers (RET) to identify, through structural equation modeling, the essential features in supporting teacher learning from these experiences. Brian R. Belland, Andrew E. Walker, Nam Ju Kim, Mason Lefler , October 2016 This review addresses the need for a comprehensive meta-analysis of research on scaffolding in STEM education by synthesizing the results of 144 experimental studies (333 outcomes) on the effects of computer-based scaffolding designed to assist the full range of STEM learners (primary through adult education) as they navigated ill-structured, problem-centered curricula. Vaughan Prain, Brian Hand , October 2016 Researchers claim that there are strong evidence-based reasons for viewing writing as a central but not sole resource for learning, drawing on both past and current research on writing as an epistemological tool and on their professional background in science education research, acknowledging its distinctive take on the use of writing for learning.  June Ahn, Austin Beck, John Rice, Michelle Foster , September 2016 Researchers present analyses from a researcher-practitioner partnership in the District of Columbia Public Schools, where the researchers are exploring the impact of educational software on students’ academic achievement. Barbara King , September 2016 This study uses nationally representative data from a recent cohort of college students to investigate thoroughly gender differences in STEM persistence.  Ryan C. Svoboda, Christopher S. Rozek, Janet S. Hyde, Judith M. Harackiewicz, Mesmin Destin , August 2016 This longitudinal study draws on identity-based and expectancy-value theories of motivation to explain the socioeconomic status (SES) and mathematics and science course-taking relationship.  Mathematics Course Placements in California Middle Schools, 2003–2013 Thurston Domina, Paul Hanselman, NaYoung Hwang, Andrew McEachin , July 2016  Researchers consider the organizational processes that accompanied the curricular intensification of the proportion of California eighth graders enrolled in algebra or a more advanced course nearly doubling to 65% between 2003 and 2013. Lina Shanley , July 2016 Using a nationally representative longitudinal data set, this study compared various models of mathematics achievement growth on the basis of both practical utility and optimal statistical fit and explored relationships within and between early and later mathematics growth parameters.  Mimi Engel, Amy Claessens, Tyler Watts, George Farkas , June 2016 Analyzing data from two nationally representative kindergarten cohorts, researchers examine the mathematics content teachers cover in kindergarten. F. Chris Curran, Ann T. Kellogg , June 2016 Researchers present findings from the recently released Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011 that demonstrate significant gaps in science achievement in kindergarten and first grade by race/ethnicity. Rachel Garrett, Guanglei Hong , June 2016 Analyzing the Early Childhood Longitudinal Study–Kindergarten cohort data, researchers find that heterogeneous grouping or a combination of heterogeneous and homogeneous grouping under relatively adequate time allocation is optimal for enhancing teacher ratings of language minority kindergartners’ math performance, while using homogeneous grouping only is detrimental.  Jennifer Gnagey, Stéphane Lavertu , May 2016 This study is one of the first to estimate the impact of “inclusive” science, technology, engineering, and mathematics (STEM) high schools using student-level data.  Hanna Gaspard, Anna-Lena Dicke, Barbara Flunger, Isabelle Häfner, Brigitte M. Brisson, Ulrich Trautwein, Benjamin Nagengast , May 2016  Through data from a cluster-randomized study in which a value intervention was successfully implemented in 82 ninth-grade math classrooms, researchers address how interventions on students’ STEM motivation in school affect motivation in subjects not targeted by the intervention. Rebecca M. Callahan, Melissa H. Humphries , April 2016  Researchers employ multivariate methods to investigate immigrant college going by linguistic status using the Educational Longitudinal Study of 2002. Federick Ngo, Tatiana Melguizo , March 2016 Researchers take advantage of heterogeneous placement policy in a large urban community college district in California to compare the effects of math remediation under different policy contexts. : An Analysis of German Fourth- and Sixth-Grade Classrooms Steffen Tröbst, Thilo Kleickmann, Kim Lange-Schubert, Anne Rothkopf, Kornelia Möller , February 2016  Researchers examined if changes in instructional practices accounted for differences in situational interest in science instruction and enduring individual interest in science between elementary and secondary school classrooms. : A Mixed-Methods Study David F. Feldon, Michelle A. Maher, Josipa Roksa, James Peugh , February 2016  Researchers offer evidence of a similar phenomenon to cumulative advantage, accounting for differential patterns of research skill development in graduate students over an academic year and explore differences in socialization that accompany diverging developmental trajectories.   : The Influence of Time, Peers, and Place Luke Dauter, Bruce Fuller , February 2016  Researchers hypothesize that pupil mobility stems from the (a) student’s time in school and grade; (b) student’s race, class, and achievement relative to peers; (c) quality of schooling relative to nearby alternatives; and (4) proximity, abundance, and diversity of local school options.  : How Workload and Curricular Affordances Shape STEM Faculty Decisions About Teaching and Learning Matthew T. Hora , January 2016 In this study the idea of the “problem space” from cognitive science is used to examine how faculty construct mental representations for the task of planning undergraduate courses.  Jessaca Spybrook, Carl D. Westine, Joseph A. Taylor , January 2016 This article provides empirical estimates of design parameters necessary for planning adequately powered cluster randomized trials (CRTs) focused on science achievement.  Paul L. Morgan, George Farkas, Marianne M. Hillemeier, Steve Maczuga , January 2016 Researchers examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools.  : Opportunity Structures and Outcomes in Inclusive STEM-Focused High Schools Lois Weis, Margaret Eisenhart, Kristin Cipollone, Amy E. Stich, Andrea B. Nikischer, Jarrod Hanson, Sarah Ohle Leibrandt, Carrie D. Allen, Rachel Dominguez , December 2015  Researchers present findings from a three-year comparative longitudinal and ethnographic study of how schools in two cities, Buffalo and Denver, have taken up STEM education reform, including the idea of “inclusive STEM-focused schools,” to address weaknesses in urban high schools with majority low-income and minority students.  : How Do They Interact in Promoting Science Understanding? Jasmin Decristan, Eckhard Klieme, Mareike Kunter, Jan Hochweber, Gerhard Büttner, Benjamin Fauth, A. Lena Hondrich, Svenja Rieser, Silke Hertel, Ilonca Hardy , December 2015 Researchers examine the interplay between curriculum-embedded formative assessment—a well-known teaching practice—and general features of classroom process quality (i.e., cognitive activation, supportive climate, classroom management) and their combined effect on elementary school students’ understanding of the scientific concepts of floating and sinking. : An International Perspective William H. Schmidt, Nathan A. Burroughs, Pablo Zoido, Richard T. Houang , October 2015 In this paper, student-level indicators of opportunity to learn (OTL) included in the 2012 Programme for International Student Assessment are used to explore the joint relationship of OTL and socioeconomic status (SES) to student mathematics literacy.  Xueli Wang , September 2015 This study examines the effect of beginning at a community college on baccalaureate success in science, technology, engineering, and mathematics (STEM) fields.  : Trends and Predictors David M. Quinn, North Cooc , August 2015 With research on science achievement disparities by gender and race/ethnicity often neglecting the beginning of the pipeline in the early grades, researchers address this limitation using nationally representative data following students from Grades 3 to 8.  Shaun M. Dougherty, Joshua S. Goodman, Darryl V. Hill, Erica G. Litke, Lindsay C. Page , May 2015 Researchers highlight a collaboration to investigate one district’s effort to increase middle school algebra course-taking. David F. Feldon, Michelle A. Maher, Melissa Hurst, Briana Timmerman , April 2015 This mixed-method study investigates agreement between student mentees’ and their faculty mentors’ perceptions of the students’ developing research knowledge and skills in STEM.  : Reviving Science Education for Civic Ends John L. Rudolph , December 2014  This article revisits John Dewey’s now-well-known address “Science as Subject-Matter and as Method” and examines the development of science education in the United States in the years since that address. Dermot F. Donnelly, Marcia C. Linn Sten Ludvigsen , December 2014 The National Science Foundation–sponsored report Fostering Learning in the Networked World called for “a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences”; we review research on science inquiry learning environments (ILEs) to characterize current platforms.  : A Longitudinal Case Study of America’s Chemistry Teachers Gregory T. Rushton, Herman E. Ray, Brett A. Criswell, Samuel J. Polizzi, Clyde J. Bearss, Nicholas Levelsmier, Himanshu Chhita, Mary Kirchhoff , November 2014  Researchers perform a longitudinal case study of U.S. public school chemistry teachers to illustrate a diffusion of responsibility within the STEM community regarding who is responsible for the teacher workforce.  : Relations Between Early Mathematics Knowledge and High School Achievement Tyler W. Watts, Greg J. Duncan, Robert S. Siegler, Pamela E. Davis-Kean , October 2014 Researchers find that preschool mathematics ability predicts mathematics achievement through age 15, even after accounting for early reading, cognitive skills, and family and child characteristics. T. Jared Robinson, Lane Fischer, David Wiley, John Hilton, III , October 2014 The purpose of this quantitative study is to analyze whether the adoption of open science textbooks significantly affects science learning outcomes for secondary students in earth systems, chemistry, and physics. : 1968–2009 Robert N. Ronau, Christopher R. Rakes, Sarah B. Bush, Shannon O. Driskell, Margaret L. Niess, David K. Pugalee , October 2014  We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality. Andrew D. Plunk, William F. Tate, Laura J. Bierut, Richard A. Grucza , June 2014 Using logistic regression with Census and American Community Survey (ACS) data (  = 2,892,444), researchers modeled mathematics and science course graduation requirement (CGR) exposure on (a) high school dropout, (b) beginning college, and (c) obtaining any college degree.  Corey Drake, Tonia J. Land, Andrew M. Tyminski , April 2014 Building on the work of Ball and Cohen and that of Davis and Krajcik, as well as more recent research related to teacher learning from and about curriculum materials, researchers seek to answer the question, How can prospective teachers (PTs) learn to read and use educative curriculum materials in ways that support them in acquiring the knowledge needed for teaching? Lorraine M. McDonnell, M. Stephen Weatherford , December 2013 This article draws on theories of political and policy learning and interviews with major participants to examine the role that the Common Core State Standards (CCSS) supporters have played in developing and implementing the standards, supporters’ reasons for mobilizing, and the counterarguments and strategies of recently emerging opposition groups. : Motivation, High School Learning, and Postsecondary Context of Support Xueli Wang , October 2013  This study draws upon social cognitive career theory and higher education literature to test a conceptual framework for understanding the entrance into science, technology, engineering, and mathematics (STEM) majors by recent high school graduates attending 4-year institutions.  Philip M. Sadler, Gerhard Sonnert, Harold P. Coyle, Nancy Cook-Smith, Jaimie L. Miller , October 2013 This study examines the relationship between teacher knowledge and student learning for 9,556 students of 181 middle school physical science teachers. : Teaching Critical Mathematics in a Remedial Secondary Classroom Andrew Brantlinger , October 2013  The researcher presents results from a practitioner research study of his own teaching of critical mathematics (CM) to low-income students of color in a U.S. context.  Jason G. Hill, Ben Dalton , October 2013 This study investigates the distribution of math teachers with a major or certification in math using data from the National Center for Education Statistics’ High School Longitudinal Study of 2009 (HSLS:09). Kristin F. Butcher, Mary G. Visher , September 2013 This study uses random assignment to investigate the impact of a “light-touch” intervention, where an individual visited math classes a few times during the semester, for a few minutes each time, to inform students about available services. Janet M. Dubinsky, Gillian Roehrig, Sashank Varma , August 2013  Researchers argue that the neurobiology of learning, and in particular the core concept of  , have the potential to directly transform teacher preparation and professional development, and ultimately to affect how students think about their own learning.  : The Impact of Undergraduate Research Programs M. Kevin Eagan, Jr., Sylvia Hurtado, Mitchell J. Chang, Gina A. Garcia, Felisha A. Herrera, Juan C. Garibay , August 2013  Researchers’ findings indicate that participation in an undergraduate research program significantly improved students’ probability of indicating plans to enroll in a STEM graduate program. Okhee Lee, Helen Quinn, Guadalupe Valdés , May 2013 This article addresses language demands and opportunities that are embedded in the science and engineering practices delineated in “A Framework for K–12 Science Education,” released by the National Research Council (2011). Liliana M. Garces , April 2013  This study examines the effects of affirmative action bans in four states (California, Florida, Texas, and Washington) on the enrollment of underrepresented students of color within six different graduate fields of study: the natural sciences, engineering, social sciences, business, education, and humanities. : Learning Lessons From Research on Diversity in STEM Fields Shirley M. Malcom, Lindsey E. Malcom-Piqueux , April 2013 Researchers argue that social scientists ought to look to the vast STEM education research literature to begin the task of empirically investigating the questions raised in the   case.  Roslyn Arlin Mickelson, Martha Cecilia Bottia, Richard Lambert , March 2013 This metaregression analysis reviewed the social science literature published in the past 20 years on the relationship between mathematics outcomes and the racial composition of the K–12 schools students attend.  Jeffrey Grigg, Kimberle A. Kelly, Adam Gamoran, Geoffrey D. Borman , March 2013 Researchers examine classroom observations from a 3-year large-scale randomized trial in the Los Angeles Unified School District (LAUSD) to investigate the extent to which a professional development initiative in inquiry science influenced teaching practices in in 4th and 5th grade classrooms in 73 schools. :  Angela Calabrese Barton, Hosun Kang, Edna Tan, Tara B. O’Neill, Juanita Bautista-Guerra, Caitlin Brecklin , February 2013  This longitudinal ethnographic study traces the identity work that girls from nondominant backgrounds do as they engage in science-related activities across school, club, and home during the middle school years.  : A Review of the State of the Field Shuchi Grover, Roy Pea , January 2013  This article frames the current state of discourse on computational thinking in K–12 education by examining mostly recently published academic literature that uses Jeannette Wing’s article as a springboard, identifies gaps in research, and articulates priorities for future inquiries. Catherine Riegle-Crumb, Barbara King, Eric Grodsky, Chandra Muller , December 2012  This article investigates the empirical basis for often-repeated arguments that gender differences in entrance into science, technology, engineering, and mathematics (STEM) majors are largely explained by disparities in prior achievement.  Richard M. Ingersoll, Henry May , December 2012 This study examines the magnitude, destinations, and determinants of mathematics and science teacher turnover.  : How Families Shape Children’s Engagement and Identification With Science Louise Archer, Jennifer DeWitt, Jonathan Osborne, Justin Dillon, Beatrice Willis, Billy Wong , October 2012  Drawing on the conceptual framework of Bourdieu, this article explores how the interplay of family habitus and capital can make science aspirations more “thinkable” for some (notably middle-class) children than others. Erin Marie Furtak, Tina Seidel, Heidi Iverson, Derek C. Briggs , September 2012 This meta-analysis introduces a framework for inquiry-based teaching that distinguishes between cognitive features of the activity and degree of guidance given to students.  Jaekyung Lee, Todd Reeves , June 2012 This study examines the impact of high-stakes school accountability, capacity, and resources under NCLB on reading and math achievement outcomes through comparative interrupted time-series analyses of 1990–2009 NAEP state assessment data.  : Toward a Theory of Teaching Paola Sztajn, Jere Confrey, P. Holt Wilson, Cynthia Edgington , June 2012 Researchers propose a theoretical connection between research on learning and research on teaching through recent research on students’ learning trajectories (LTs).  : The Perspectives of Exemplary African American Teachers Jianzhong Xu, Linda T. Coats, Mary L. Davidson , February 2012  Researchers argue both the urgency and the promise of establishing a constructive conversation among different bodies of research, including science interest, sociocultural studies in science education, and culturally relevant teaching.  Rebecca M. Schneider, Kellie Plasman , December 2011 This review examines the research on science teachers’ pedagogical content knowledge (PCK) in order to refine ideas about science teacher learning progressions and how to support them.  Brian A. Nosek, Frederick L. Smyth , October 2011  Researchers examined implicit math attitudes and stereotypes among a heterogeneous sample of 5,139 participants.  Libby F. Gerard, Keisha Varma, Stephanie B. Corliss, Marcia C. Linn , September 2011 Researchers’ findings suggest that professional development programs that engaged teachers in a comprehensive, constructivist-oriented learning process and were sustained beyond 1 year significantly improved students’ inquiry learning experiences in K–12 science classrooms.  : Teaching and Learning Impacts of Reading Apprenticeship Professional Development Cynthia L. Greenleaf, Cindy Litman, Thomas L. Hanson, Rachel Rosen, Christy K. Boscardin, Joan Herman, Steven A. Schneider, Sarah Madden, Barbara Jones , June 2011  This study examined the effects of professional development integrating academic literacy and biology instruction on science teachers’ instructional practices and students’ achievement in science and literacy.  Paul Cobb, Kara Jackson , May 2011 The authors comment on Porter, McMaken, Hwang, and Yang’s recent analysis of the Common Core State Standards for Mathematics by critiquing their measures of the focus of the standards and the absence of an assessment of coherence.  P. Wesley Schultz, Paul R. Hernandez, Anna Woodcock, Mica Estrada, Randie C. Chance, Maria Aguilar, Richard T. Serpe , March 2011 This study reports results from a longitudinal study of students supported by a national National Institutes of Health–funded minority training program, and a propensity score matched control.  : Three Large-Scale Studies Jeremy Roschelle, Nicole Shechtman, Deborah Tatar, Stephen Hegedus, Bill Hopkins, Susan Empson, Jennifer Knudsen, Lawrence P. Gallagher , December 2010  The authors present three studies (two randomized controlled experiments and one embedded quasi-experiment) designed to evaluate the impact of replacement units targeting student learning of advanced middle school mathematics.  : Examining Disparities in College Major by Gender and Race/Ethnicity Catherine Riegle-Crumb, Barbara King , December 2010  The authors analyze national data on recent college matriculants to investigate gender and racial/ethnic disparities in STEM fields, with an eye toward the role of academic preparation and attitudes in shaping such disparities.  Mary Kay Stein, Julia H. Kaufman , September 2010  This article begins to unravel the question, “What curricular materials work best under what kinds of conditions?” The authors address this question from the point of view of teachers and their ability to implement mathematics curricula that place varying demands and provide varying levels of support for their learning.  Andy R. Cavagnetto , September 2010 This study of 54 articles from the research literature examines how argument interventions promote scientific literacy.  Victoria M. Hand , March 2010 The researcher examined how the teacher and students in a low-track mathematics classroom jointly constructed opposition through their classroom interactions. Terrence E. Murphy, Monica Gaughan, Robert Hume, S. Gordon Moore, Jr. , March 2010 Researchers evaluate the association of a summer bridge program with the graduation rate of underrepresented minority (URM) students at a selective technical university.  A Quick Guide to Quantitative Research in the Social Sciences (12 reviews) Christine Davies, Carmarthen, Wales Copyright Year: 2020 Last Update: 2021 Publisher: University of Wales Trinity Saint David Language: English Formats Available Conditions of use. Learn more about reviews. Reviewed by Jennifer Taylor, Assistant Professor, Texas A&M University-Corpus Christi on 4/18/24 This resource is a quick guide to quantitative research in the social sciences and not a comprehensive resource. It provides a VERY general overview of quantitative research but offers a good starting place for students new to research. It... read more Comprehensiveness rating: 4 see less This resource is a quick guide to quantitative research in the social sciences and not a comprehensive resource. It provides a VERY general overview of quantitative research but offers a good starting place for students new to research. It offers links and references to additional resources that are more comprehensive in nature. Content Accuracy rating: 4 The content is relatively accurate. The measurement scale section is very sparse. Not all types of research designs or statistical methods are included, but it is a guide, so details are meant to be limited. Relevance/Longevity rating: 4 The examples were interesting and appropriate. The content is up to date and will be useful for several years. Clarity rating: 5 The text was clearly written. Tables and figures are not referenced in the text, which would have been nice. Consistency rating: 5 The framework is consistent across chapters with terminology clearly highlighted and defined. Modularity rating: 5 The chapters are subdivided into section that can be divided and assigned as reading in a course. Most chapters are brief and concise, unless elaboration is necessary, such as with the data analysis chapter. Again, this is a guide and not a comprehensive text, so sections are shorter and don't always include every subtopic that may be considered. Organization/Structure/Flow rating: 5 The guide is well organized. I appreciate that the topics are presented in a logical and clear manner. The topics are provided in an order consistent with traditional research methods. Interface rating: 5 The interface was easy to use and navigate. The images were clear and easy to read. Grammatical Errors rating: 5 I did not notice any grammatical errors. Cultural Relevance rating: 5 The materials are not culturally insensitive or offensive in any way. I teach a Marketing Research course to undergraduates. I would consider using some of the chapters or topics included, especially the overview of the research designs and the analysis of data section. Reviewed by Tiffany Kindratt, Assistant Professor, University of Texas at Arlington on 3/9/24 The text provides a brief overview of quantitative research topics that is geared towards research in the fields of education, sociology, business, and nursing. The author acknowledges that the textbook is not a comprehensive resource but offers... read more Comprehensiveness rating: 3 see less The text provides a brief overview of quantitative research topics that is geared towards research in the fields of education, sociology, business, and nursing. The author acknowledges that the textbook is not a comprehensive resource but offers references to other resources that can be used to deepen the knowledge. The text does not include a glossary or index. The references in the figures for each chapter are not included in the reference section. It would be helpful to include those. Overall, the text is accurate. For example, Figure 1 on page 6 provides a clear overview of the research process. It includes general definitions of primary and secondary research. It would be helpful to include more details to explain some of the examples before they are presented. For instance, the example on page 5 was unclear how it pertains to the literature review section. In general, the text is relevant and up-to-date. The text includes many inferences of moving from qualitative to quantitative analysis. This was surprising to me as a quantitative researcher. The author mentions that moving from a qualitative to quantitative approach should only be done when needed. As a predominantly quantitative researcher, I would not advice those interested in transitioning to using a qualitative approach that qualitative research would enhance their research—not something that should only be done if you have to. Clarity rating: 4 The text is written in a clear manner. It would be helpful to the reader if there was a description of the tables and figures in the text before they are presented. Consistency rating: 4 The framework for each chapter and terminology used are consistent. Modularity rating: 4 The text is clearly divided into sections within each chapter. Overall, the chapters are a similar brief length except for the chapter on data analysis, which is much more comprehensive than others. Organization/Structure/Flow rating: 4 The topics in the text are presented in a clear and logical order. The order of the text follows the conventional research methodology in social sciences. I did not encounter any interface issues when reviewing this text. All links worked and there were no distortions of the images or charts that may confuse the reader. Grammatical Errors rating: 3 There are some grammatical/typographical errors throughout. Of note, for Section 5 in the table of contents. “The” should be capitalized to start the title. In the title for Table 3, the “t” in typical should be capitalized. Cultural Relevance rating: 4 The examples are culturally relevant. The text is geared towards learners in the UK, but examples are relevant for use in other countries (i.e., United States). I did not see any examples that may be considered culturally insensitive or offensive in any way. I teach a course on research methods in a Bachelor of Science in Public Health program. I would consider using some of the text, particularly in the analysis chapter to supplement the current textbook in the future. Reviewed by Finn Bell, Assistant Professor, University of Michigan, Dearborn on 1/3/24 For it being a quick guide and only 26 pages, it is very comprehensive, but it does not include an index or glossary. read more For it being a quick guide and only 26 pages, it is very comprehensive, but it does not include an index or glossary. Content Accuracy rating: 5 As far as I can tell, the text is accurate, error-free and unbiased. Relevance/Longevity rating: 5 This text is up-to-date, and given the content, unlikely to become obsolete any time soon. The text is very clear and accessible. The text is internally consistent. Given how short the text is, it seems unnecessary to divide it into smaller readings, nonetheless, it is clearly labelled such that an instructor could do so. The text is well-organized and brings readers through basic quantitative methods in a logical, clear fashion. Easy to navigate. Only one table that is split between pages, but not in a way that is confusing. There were no noticeable grammatical errors. The examples in this book don't give enough information to rate this effectively. This text is truly a very quick guide at only 26 double-spaced pages. Nonetheless, Davies packs a lot of information on the basics of quantitative research methods into this text, in an engaging way with many examples of the concepts presented. This guide is more of a brief how-to that takes readers as far as how to select statistical tests. While it would be impossible to fully learn quantitative research from such a short text, of course, this resource provides a great introduction, overview, and refresher for program evaluation courses. Reviewed by Shari Fedorowicz, Adjunct Professor, Bridgewater State University on 12/16/22 The text is indeed a quick guide for utilizing quantitative research. Appropriate and effective examples and diagrams were used throughout the text. The author clearly differentiates between use of quantitative and qualitative research providing... read more Comprehensiveness rating: 5 see less The text is indeed a quick guide for utilizing quantitative research. Appropriate and effective examples and diagrams were used throughout the text. The author clearly differentiates between use of quantitative and qualitative research providing the reader with the ability to distinguish two terms that frequently get confused. In addition, links and outside resources are provided to deepen the understanding as an option for the reader. The use of these links, coupled with diagrams and examples make this text comprehensive. The content is mostly accurate. Given that it is a quick guide, the author chose a good selection of which types of research designs to include. However, some are not provided. For example, correlational or cross-correlational research is omitted and is not discussed in Section 3, but is used as a statistical example in the last section. Examples utilized were appropriate and associated with terms adding value to the learning. The tables that included differentiation between types of statistical tests along with a parametric/nonparametric table were useful and relevant. The purpose to the text and how to use this guide book is stated clearly and is established up front. The author is also very clear regarding the skill level of the user. Adding to the clarity are the tables with terms, definitions, and examples to help the reader unpack the concepts. The content related to the terms was succinct, direct, and clear. Many times examples or figures were used to supplement the narrative. The text is consistent throughout from contents to references. Within each section of the text, the introductory paragraph under each section provides a clear understanding regarding what will be discussed in each section. The layout is consistent for each section and easy to follow. The contents are visible and address each section of the text. A total of seven sections, including a reference section, is in the contents. Each section is outlined by what will be discussed in the contents. In addition, within each section, a heading is provided to direct the reader to the subtopic under each section. The text is well-organized and segues appropriately. I would have liked to have seen an introductory section giving a narrative overview of what is in each section. This would provide the reader with the ability to get a preliminary glimpse into each upcoming sections and topics that are covered. The book was easy to navigate and well-organized. Examples are presented in one color, links in another and last, figures and tables. The visuals supplemented the reading and placed appropriately. This provides an opportunity for the reader to unpack the reading by use of visuals and examples. No significant grammatical errors. The text is not offensive or culturally insensitive. Examples were inclusive of various races, ethnicities, and backgrounds. This quick guide is a beneficial text to assist in unpacking the learning related to quantitative statistics. I would use this book to complement my instruction and lessons, or use this book as a main text with supplemental statistical problems and formulas. References to statistical programs were appropriate and were useful. The text did exactly what was stated up front in that it is a direct guide to quantitative statistics. It is well-written and to the point with content areas easy to locate by topic. Reviewed by Sarah Capello, Assistant Professor, Radford University on 1/18/22 The text claims to provide "quick and simple advice on quantitative aspects of research in social sciences," which it does. There is no index or glossary, although vocabulary words are bolded and defined throughout the text. read more The text claims to provide "quick and simple advice on quantitative aspects of research in social sciences," which it does. There is no index or glossary, although vocabulary words are bolded and defined throughout the text. The content is mostly accurate. I would have preferred a few nuances to be hashed out a bit further to avoid potential reader confusion or misunderstanding of the concepts presented. The content is current; however, some of the references cited in the text are outdated. Newer editions of those texts exist. The text is very accessible and readable for a variety of audiences. Key terms are well-defined. There are no content discrepancies within the text. The author even uses similarly shaped graphics for recurring purposes throughout the text (e.g., arrow call outs for further reading, rectangle call outs for examples). The content is chunked nicely by topics and sections. If it were used for a course, it would be easy to assign different sections of the text for homework, etc. without confusing the reader if the instructor chose to present the content in a different order. The author follows the structure of the research process. The organization of the text is easy to follow and comprehend. All of the supplementary images (e.g., tables and figures) were beneficial to the reader and enhanced the text. There are no significant grammatical errors. I did not find any culturally offensive or insensitive references in the text. This text does the difficult job of introducing the complicated concepts and processes of quantitative research in a quick and easy reference guide fairly well. I would not depend solely on this text to teach students about quantitative research, but it could be a good jumping off point for those who have no prior knowledge on this subject or those who need a gentle introduction before diving in to more advanced and complex readings of quantitative research methods. Reviewed by J. Marlie Henry, Adjunct Faculty, University of Saint Francis on 12/9/21 Considering the length of this guide, this does a good job of addressing major areas that typically need to be addressed. There is a contents section. The guide does seem to be organized accordingly with appropriate alignment and logical flow of... read more Considering the length of this guide, this does a good job of addressing major areas that typically need to be addressed. There is a contents section. The guide does seem to be organized accordingly with appropriate alignment and logical flow of thought. There is no glossary but, for a guide of this length, a glossary does not seem like it would enhance the guide significantly. The content is relatively accurate. Expanding the content a bit more or explaining that the methods and designs presented are not entirely inclusive would help. As there are different schools of thought regarding what should/should not be included in terms of these designs and methods, simply bringing attention to that and explaining a bit more would help. Relevance/Longevity rating: 3 This content needs to be updated. Most of the sources cited are seven or more years old. Even more, it would be helpful to see more currently relevant examples. Some of the source authors such as Andy Field provide very interesting and dynamic instruction in general, but they have much more current information available. The language used is clear and appropriate. Unnecessary jargon is not used. The intent is clear- to communicate simply in a straightforward manner. The guide seems to be internally consistent in terms of terminology and framework. There do not seem to be issues in this area. Terminology is internally consistent. For a guide of this length, the author structured this logically into sections. This guide could be adopted in whole or by section with limited modifications. Courses with fewer than seven modules could also logically group some of the sections. This guide does present with logical organization. The topics presented are conceptually sequenced in a manner that helps learners build logically on prior conceptualization. This also provides a simple conceptual framework for instructors to guide learners through the process. Interface rating: 4 The visuals themselves are simple, but they are clear and understandable without distracting the learner. The purpose is clear- that of learning rather than visuals for the sake of visuals. Likewise, navigation is clear and without issues beyond a broken link (the last source noted in the references). This guide seems to be free of grammatical errors. It would be interesting to see more cultural integration in a guide of this nature, but the guide is not culturally insensitive or offensive in any way. The language used seems to be consistent with APA's guidelines for unbiased language. Reviewed by Heng Yu-Ku, Professor, University of Northern Colorado on 5/13/21 The text covers all areas and ideas appropriately and provides practical tables, charts, and examples throughout the text. I would suggest the author also provides a complete research proposal at the end of Section 3 (page 10) and a comprehensive... read more The text covers all areas and ideas appropriately and provides practical tables, charts, and examples throughout the text. I would suggest the author also provides a complete research proposal at the end of Section 3 (page 10) and a comprehensive research study as an Appendix after section 7 (page 26) to help readers comprehend information better. For the most part, the content is accurate and unbiased. However, the author only includes four types of research designs used on the social sciences that contain quantitative elements: 1. Mixed method, 2) Case study, 3) Quasi-experiment, and 3) Action research. I wonder why the correlational research is not included as another type of quantitative research design as it has been introduced and emphasized in section 6 by the author. I believe the content is up-to-date and that necessary updates will be relatively easy and straightforward to implement. The text is easy to read and provides adequate context for any technical terminology used. However, the author could provide more detailed information about estimating the minimum sample size but not just refer the readers to use the online sample calculators at a different website. The text is internally consistent in terms of terminology and framework. The author provides the right amount of information with additional information or resources for the readers. The text includes seven sections. Therefore, it is easier for the instructor to allocate or divide the content into different weeks of instruction within the course. Yes, the topics in the text are presented in a logical and clear fashion. The author provides clear and precise terminologies, summarizes important content in Table or Figure forms, and offers examples in each section for readers to check their understanding. The interface of the book is consistent and clear, and all the images and charts provided in the book are appropriate. However, I did encounter some navigation problems as a couple of links are not working or requires permission to access those (pages 10 and 27). No grammatical errors were found. No culturally incentive or offensive in its language and the examples provided were found. As the book title stated, this book provides “A Quick Guide to Quantitative Research in Social Science. It offers easy-to-read information and introduces the readers to the research process, such as research questions, research paradigms, research process, research designs, research methods, data collection, data analysis, and data discussion. However, some links are not working or need permissions to access them (pages 10 and 27). Reviewed by Hsiao-Chin Kuo, Assistant Professor, Northeastern Illinois University on 4/26/21, updated 4/28/21 As a quick guide, it covers basic concepts related to quantitative research. It starts with WHY quantitative research with regard to asking research questions and considering research paradigms, then provides an overview of research design and... read more As a quick guide, it covers basic concepts related to quantitative research. It starts with WHY quantitative research with regard to asking research questions and considering research paradigms, then provides an overview of research design and process, discusses methods, data collection and analysis, and ends with writing a research report. It also identifies its target readers/users as those begins to explore quantitative research. It would be helpful to include more examples for readers/users who are new to quantitative research. Its content is mostly accurate and no bias given its nature as a quick guide. Yet, it is also quite simplified, such as its explanations of mixed methods, case study, quasi-experimental research, and action research. It provides resources for extended reading, yet more recent works will be helpful. The book is relevant given its nature as a quick guide. It would be helpful to provide more recent works in its resources for extended reading, such as the section for Survey Research (p. 12). It would also be helpful to include more information to introduce common tools and software for statistical analysis. The book is written with clear and understandable language. Important terms and concepts are presented with plain explanations and examples. Figures and tables are also presented to support its clarity. For example, Table 4 (p. 20) gives an easy-to-follow overview of different statistical tests. The framework is very consistent with key points, further explanations, examples, and resources for extended reading. The sample studies are presented following the layout of the content, such as research questions, design and methods, and analysis. These examples help reinforce readers' understanding of these common research elements. The book is divided into seven chapters. Each chapter clearly discusses an aspect of quantitative research. It can be easily divided into modules for a class or for a theme in a research method class. Chapters are short and provides additional resources for extended reading. The topics in the chapters are presented in a logical and clear structure. It is easy to follow to a degree. Though, it would be also helpful to include the chapter number and title in the header next to its page number. The text is easy to navigate. Most of the figures and tables are displayed clearly. Yet, there are several sections with empty space that is a bit confusing in the beginning. Again, it can be helpful to include the chapter number/title next to its page number. Grammatical Errors rating: 4 No major grammatical errors were found. There are no cultural insensitivities noted. Given the nature and purpose of this book, as a quick guide, it provides readers a quick reference for important concepts and terms related to quantitative research. Because this book is quite short (27 pages), it can be used as an overview/preview about quantitative research. Teacher's facilitation/input and extended readings will be needed for a deeper learning and discussion about aspects of quantitative research. Reviewed by Yang Cheng, Assistant Professor, North Carolina State University on 1/6/21 It covers the most important topics such as research progress, resources, measurement, and analysis of the data. read more It covers the most important topics such as research progress, resources, measurement, and analysis of the data. The book accurately describes the types of research methods such as mixed-method, quasi-experiment, and case study. It talks about the research proposal and key differences between statistical analyses as well. The book pinpointed the significance of running a quantitative research method and its relevance to the field of social science. The book clearly tells us the differences between types of quantitative methods and the steps of running quantitative research for students. The book is consistent in terms of terminologies such as research methods or types of statistical analysis. It addresses the headlines and subheadlines very well and each subheading should be necessary for readers. The book was organized very well to illustrate the topic of quantitative methods in the field of social science. The pictures within the book could be further developed to describe the key concepts vividly. The textbook contains no grammatical errors. It is not culturally offensive in any way. Overall, this is a simple and quick guide for this important topic. It should be valuable for undergraduate students who would like to learn more about research methods. Reviewed by Pierre Lu, Associate Professor, University of Texas Rio Grande Valley on 11/20/20 As a quick guide to quantitative research in social sciences, the text covers most ideas and areas. read more As a quick guide to quantitative research in social sciences, the text covers most ideas and areas. Mostly accurate content. As a quick guide, content is highly relevant. Succinct and clear. Internally, the text is consistent in terms of terminology used. The text is easily and readily divisible into smaller sections that can be used as assignments. I like that there are examples throughout the book. Easy to read. No interface/ navigation problems. No grammatical errors detected. I am not aware of the culturally insensitive description. After all, this is a methodology book. I think the book has potential to be adopted as a foundation for quantitative research courses, or as a review in the first weeks in advanced quantitative course. Reviewed by Sarah Fischer, Assistant Professor, Marymount University on 7/31/20 It is meant to be an overview, but it incredibly condensed and spends almost no time on key elements of statistics (such as what makes research generalizable, or what leads to research NOT being generalizable). read more It is meant to be an overview, but it incredibly condensed and spends almost no time on key elements of statistics (such as what makes research generalizable, or what leads to research NOT being generalizable). Content Accuracy rating: 1 Contains VERY significant errors, such as saying that one can "accept" a hypothesis. (One of the key aspect of hypothesis testing is that one either rejects or fails to reject a hypothesis, but NEVER accepts a hypothesis.) Very relevant to those experiencing the research process for the first time. However, it is written by someone working in the natural sciences but is a text for social sciences. This does not explain the errors, but does explain why sometimes the author assumes things about the readers ("hail from more subjectivist territory") that are likely not true. Clarity rating: 3 Some statistical terminology not explained clearly (or accurately), although the author has made attempts to do both. Very consistently laid out. Chapters are very short yet also point readers to outside texts for additional information. Easy to follow. Generally logically organized. Easy to navigate, images clear. The additional sources included need to linked to. Minor grammatical and usage errors throughout the text. Makes efforts to be inclusive. The idea of this book is strong--short guides like this are needed. However, this book would likely be strengthened by a revision to reduce inaccuracies and improve the definitions and technical explanations of statistical concepts. Since the book is specifically aimed at the social sciences, it would also improve the text to have more examples that are based in the social sciences (rather than the health sciences or the arts). Reviewed by Michelle Page, Assistant Professor, Worcester State University on 5/30/20 This text is exactly intended to be what it says: A quick guide. A basic outline of quantitative research processes, akin to cliff notes. The content provides only the essentials of a research process and contains key terms. A student or new... read more This text is exactly intended to be what it says: A quick guide. A basic outline of quantitative research processes, akin to cliff notes. The content provides only the essentials of a research process and contains key terms. A student or new researcher would not be able to use this as a stand alone guide for quantitative pursuits without having a supplemental text that explains the steps in the process more comprehensively. The introduction does provide this caveat. Content Accuracy rating: 3 There are no biases or errors that could be distinguished; however, it’s simplicity in content, although accurate for an outline of process, may lack a conveyance of the deeper meanings behind the specific processes explained about qualitative research. The content is outlined in traditional format to highlight quantitative considerations for formatting research foundational pieces. The resources/references used to point the reader to literature sources can be easily updated with future editions. The jargon in the text is simple to follow and provides adequate context for its purpose. It is simplified for its intention as a guide which is appropriate. Each section of the text follows a consistent flow. Explanation of the research content or concept is defined and then a connection to literature is provided to expand the readers understanding of the section’s content. Terminology is consistent with the qualitative process. As an “outline” and guide, this text can be used to quickly identify the critical parts of the quantitative process. Although each section does not provide deeper content for meaningful use as a stand alone text, it’s utility would be excellent as a reference for a course and can be used as an content guide for specific research courses. The text’s outline and content are aligned and are in a logical flow in terms of the research considerations for quantitative research. The only issue that the format was not able to provide was linkable articles. These would have to be cut and pasted into a browser. Functional clickable links in a text are very successful at leading the reader to the supplemental material. No grammatical errors were noted. This is a very good outline “guide” to help a new or student researcher to demystify the quantitative process. A successful outline of any process helps to guide work in a logical and systematic way. I think this simple guide is a great adjunct to more substantial research context. Table of Contents Section 1: What will this resource do for you? Section 2: Why are you thinking about numbers? A discussion of the research question and paradigms. Section 3: An overview of the Research Process and Research Designs Section 4: Quantitative Research Methods Section 5: the data obtained from quantitative research Section 6: Analysis of data Section 7: Discussing your Results Ancillary Material About the book. This resource is intended as an easy-to-use guide for anyone who needs some quick and simple advice on quantitative aspects of research in social sciences, covering subjects such as education, sociology, business, nursing. If you area qualitative researcher who needs to venture into the world of numbers, or a student instructed to undertake a quantitative research project despite a hatred for maths, then this booklet should be a real help. The booklet was amended in 2022 to take into account previous review comments.   About the Contributors Christine Davies , Ph.D Contribute to this Page Research Topics & Ideas: Education 170+ Research Ideas To Fast-Track Your Dissertation, Thesis Or Research Project I f you’re just starting out exploring education-related topics for your dissertation, thesis or research project, you’ve come to the right place. In this post, we’ll help kickstart your research topic ideation process by providing a hearty list of research topics and ideas , including examples from actual dissertations and theses.. PS – This is just the start… We know it’s exciting to run through a list of research topics, but please keep in mind that this list is just a starting point . To develop a suitable education-related research topic, you’ll need to identify a clear and convincing research gap , and a viable plan of action to fill that gap. If this sounds foreign to you, check out our free research topic webinar that explores how to find and refine a high-quality research topic, from scratch. Alternatively, if you’d like hands-on help, consider our 1-on-1 coaching service . Overview: Education Research Topics How to find a research topic (video) List of 50+ education-related research topics/ideas List of 120+ level-specific research topics  Examples of actual dissertation topics in education Tips to fast-track your topic ideation (video) Where to get extra help Education-Related Research Topics & Ideas Below you’ll find a list of education-related research topics and idea kickstarters. These are fairly broad and flexible to various contexts, so keep in mind that you will need to refine them a little. Nevertheless, they should inspire some ideas for your project. The impact of school funding on student achievement The effects of social and emotional learning on student well-being The effects of parental involvement on student behaviour The impact of teacher training on student learning The impact of classroom design on student learning The impact of poverty on education The use of student data to inform instruction The role of parental involvement in education The effects of mindfulness practices in the classroom The use of technology in the classroom The role of critical thinking in education The use of formative and summative assessments in the classroom The use of differentiated instruction in the classroom The use of gamification in education The effects of teacher burnout on student learning The impact of school leadership on student achievement The effects of teacher diversity on student outcomes The role of teacher collaboration in improving student outcomes The implementation of blended and online learning The effects of teacher accountability on student achievement The effects of standardized testing on student learning The effects of classroom management on student behaviour The effects of school culture on student achievement The use of student-centred learning in the classroom The impact of teacher-student relationships on student outcomes The achievement gap in minority and low-income students The use of culturally responsive teaching in the classroom The impact of teacher professional development on student learning The use of project-based learning in the classroom The effects of teacher expectations on student achievement The use of adaptive learning technology in the classroom The impact of teacher turnover on student learning The effects of teacher recruitment and retention on student learning The impact of early childhood education on later academic success The impact of parental involvement on student engagement The use of positive reinforcement in education The impact of school climate on student engagement The role of STEM education in preparing students for the workforce The effects of school choice on student achievement The use of technology in the form of online tutoring Level-Specific Research Topics Looking for research topics for a specific level of education? We’ve got you covered. Below you can find research topic ideas for primary, secondary and tertiary-level education contexts. Click the relevant level to view the respective list. Research Topics: Pick An Education Level Primary education. Investigating the effects of peer tutoring on academic achievement in primary school Exploring the benefits of mindfulness practices in primary school classrooms Examining the effects of different teaching strategies on primary school students’ problem-solving skills The use of storytelling as a teaching strategy in primary school literacy instruction The role of cultural diversity in promoting tolerance and understanding in primary schools The impact of character education programs on moral development in primary school students Investigating the use of technology in enhancing primary school mathematics education The impact of inclusive curriculum on promoting equity and diversity in primary schools The impact of outdoor education programs on environmental awareness in primary school students The influence of school climate on student motivation and engagement in primary schools Investigating the effects of early literacy interventions on reading comprehension in primary school students The impact of parental involvement in school decision-making processes on student achievement in primary schools Exploring the benefits of inclusive education for students with special needs in primary schools Investigating the effects of teacher-student feedback on academic motivation in primary schools The role of technology in developing digital literacy skills in primary school students Effective strategies for fostering a growth mindset in primary school students Investigating the role of parental support in reducing academic stress in primary school children The role of arts education in fostering creativity and self-expression in primary school students Examining the effects of early childhood education programs on primary school readiness Examining the effects of homework on primary school students’ academic performance The role of formative assessment in improving learning outcomes in primary school classrooms The impact of teacher-student relationships on academic outcomes in primary school Investigating the effects of classroom environment on student behavior and learning outcomes in primary schools Investigating the role of creativity and imagination in primary school curriculum The impact of nutrition and healthy eating programs on academic performance in primary schools The impact of social-emotional learning programs on primary school students’ well-being and academic performance The role of parental involvement in academic achievement of primary school children Examining the effects of classroom management strategies on student behavior in primary school The role of school leadership in creating a positive school climate Exploring the benefits of bilingual education in primary schools The effectiveness of project-based learning in developing critical thinking skills in primary school students The role of inquiry-based learning in fostering curiosity and critical thinking in primary school students The effects of class size on student engagement and achievement in primary schools Investigating the effects of recess and physical activity breaks on attention and learning in primary school Exploring the benefits of outdoor play in developing gross motor skills in primary school children The effects of educational field trips on knowledge retention in primary school students Examining the effects of inclusive classroom practices on students’ attitudes towards diversity in primary schools The impact of parental involvement in homework on primary school students’ academic achievement Investigating the effectiveness of different assessment methods in primary school classrooms The influence of physical activity and exercise on cognitive development in primary school children Exploring the benefits of cooperative learning in promoting social skills in primary school students Secondary Education Investigating the effects of school discipline policies on student behavior and academic success in secondary education The role of social media in enhancing communication and collaboration among secondary school students The impact of school leadership on teacher effectiveness and student outcomes in secondary schools Investigating the effects of technology integration on teaching and learning in secondary education Exploring the benefits of interdisciplinary instruction in promoting critical thinking skills in secondary schools The impact of arts education on creativity and self-expression in secondary school students The effectiveness of flipped classrooms in promoting student learning in secondary education The role of career guidance programs in preparing secondary school students for future employment Investigating the effects of student-centered learning approaches on student autonomy and academic success in secondary schools The impact of socio-economic factors on educational attainment in secondary education Investigating the impact of project-based learning on student engagement and academic achievement in secondary schools Investigating the effects of multicultural education on cultural understanding and tolerance in secondary schools The influence of standardized testing on teaching practices and student learning in secondary education Investigating the effects of classroom management strategies on student behavior and academic engagement in secondary education The influence of teacher professional development on instructional practices and student outcomes in secondary schools The role of extracurricular activities in promoting holistic development and well-roundedness in secondary school students Investigating the effects of blended learning models on student engagement and achievement in secondary education The role of physical education in promoting physical health and well-being among secondary school students Investigating the effects of gender on academic achievement and career aspirations in secondary education Exploring the benefits of multicultural literature in promoting cultural awareness and empathy among secondary school students The impact of school counseling services on student mental health and well-being in secondary schools Exploring the benefits of vocational education and training in preparing secondary school students for the workforce The role of digital literacy in preparing secondary school students for the digital age The influence of parental involvement on academic success and well-being of secondary school students The impact of social-emotional learning programs on secondary school students’ well-being and academic success The role of character education in fostering ethical and responsible behavior in secondary school students Examining the effects of digital citizenship education on responsible and ethical technology use among secondary school students The impact of parental involvement in school decision-making processes on student outcomes in secondary schools The role of educational technology in promoting personalized learning experiences in secondary schools The impact of inclusive education on the social and academic outcomes of students with disabilities in secondary schools The influence of parental support on academic motivation and achievement in secondary education The role of school climate in promoting positive behavior and well-being among secondary school students Examining the effects of peer mentoring programs on academic achievement and social-emotional development in secondary schools Examining the effects of teacher-student relationships on student motivation and achievement in secondary schools Exploring the benefits of service-learning programs in promoting civic engagement among secondary school students The impact of educational policies on educational equity and access in secondary education Examining the effects of homework on academic achievement and student well-being in secondary education Investigating the effects of different assessment methods on student performance in secondary schools Examining the effects of single-sex education on academic performance and gender stereotypes in secondary schools The role of mentoring programs in supporting the transition from secondary to post-secondary education Tertiary Education The role of student support services in promoting academic success and well-being in higher education The impact of internationalization initiatives on students’ intercultural competence and global perspectives in tertiary education Investigating the effects of active learning classrooms and learning spaces on student engagement and learning outcomes in tertiary education Exploring the benefits of service-learning experiences in fostering civic engagement and social responsibility in higher education The influence of learning communities and collaborative learning environments on student academic and social integration in higher education Exploring the benefits of undergraduate research experiences in fostering critical thinking and scientific inquiry skills Investigating the effects of academic advising and mentoring on student retention and degree completion in higher education The role of student engagement and involvement in co-curricular activities on holistic student development in higher education The impact of multicultural education on fostering cultural competence and diversity appreciation in higher education The role of internships and work-integrated learning experiences in enhancing students’ employability and career outcomes Examining the effects of assessment and feedback practices on student learning and academic achievement in tertiary education The influence of faculty professional development on instructional practices and student outcomes in tertiary education The influence of faculty-student relationships on student success and well-being in tertiary education The impact of college transition programs on students’ academic and social adjustment to higher education The impact of online learning platforms on student learning outcomes in higher education The impact of financial aid and scholarships on access and persistence in higher education The influence of student leadership and involvement in extracurricular activities on personal development and campus engagement Exploring the benefits of competency-based education in developing job-specific skills in tertiary students Examining the effects of flipped classroom models on student learning and retention in higher education Exploring the benefits of online collaboration and virtual team projects in developing teamwork skills in tertiary students Investigating the effects of diversity and inclusion initiatives on campus climate and student experiences in tertiary education The influence of study abroad programs on intercultural competence and global perspectives of college students Investigating the effects of peer mentoring and tutoring programs on student retention and academic performance in tertiary education Investigating the effectiveness of active learning strategies in promoting student engagement and achievement in tertiary education Investigating the effects of blended learning models and hybrid courses on student learning and satisfaction in higher education The role of digital literacy and information literacy skills in supporting student success in the digital age Investigating the effects of experiential learning opportunities on career readiness and employability of college students The impact of e-portfolios on student reflection, self-assessment, and showcasing of learning in higher education The role of technology in enhancing collaborative learning experiences in tertiary classrooms The impact of research opportunities on undergraduate student engagement and pursuit of advanced degrees Examining the effects of competency-based assessment on measuring student learning and achievement in tertiary education Examining the effects of interdisciplinary programs and courses on critical thinking and problem-solving skills in college students The role of inclusive education and accessibility in promoting equitable learning experiences for diverse student populations The role of career counseling and guidance in supporting students’ career decision-making in tertiary education The influence of faculty diversity and representation on student success and inclusive learning environments in higher education Education-Related Dissertations & Theses While the ideas we’ve presented above are a decent starting point for finding a research topic in education, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses in the education space to see how this all comes together in practice. Below, we’ve included a selection of education-related research projects to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice. From Rural to Urban: Education Conditions of Migrant Children in China (Wang, 2019) Energy Renovation While Learning English: A Guidebook for Elementary ESL Teachers (Yang, 2019) A Reanalyses of Intercorrelational Matrices of Visual and Verbal Learners’ Abilities, Cognitive Styles, and Learning Preferences (Fox, 2020) A study of the elementary math program utilized by a mid-Missouri school district (Barabas, 2020) Instructor formative assessment practices in virtual learning environments : a posthumanist sociomaterial perspective (Burcks, 2019) Higher education students services: a qualitative study of two mid-size universities’ direct exchange programs (Kinde, 2020) Exploring editorial leadership : a qualitative study of scholastic journalism advisers teaching leadership in Missouri secondary schools (Lewis, 2020) Selling the virtual university: a multimodal discourse analysis of marketing for online learning (Ludwig, 2020) Advocacy and accountability in school counselling: assessing the use of data as related to professional self-efficacy (Matthews, 2020) The use of an application screening assessment as a predictor of teaching retention at a midwestern, K-12, public school district (Scarbrough, 2020) Core values driving sustained elite performance cultures (Beiner, 2020) Educative features of upper elementary Eureka math curriculum (Dwiggins, 2020) How female principals nurture adult learning opportunities in successful high schools with challenging student demographics (Woodward, 2020) The disproportionality of Black Males in Special Education: A Case Study Analysis of Educator Perceptions in a Southeastern Urban High School (McCrae, 2021) As you can see, these research topics are a lot more focused than the generic topic ideas we presented earlier. So, in order for you to develop a high-quality research topic, you’ll need to get specific and laser-focused on a specific context with specific variables of interest.  In the video below, we explore some other important things you’ll need to consider when crafting your research topic. Get 1-On-1 Help If you’re still unsure about how to find a quality research topic within education, check out our Research Topic Kickstarter service, which is the perfect starting point for developing a unique, well-justified research topic. Find The Perfect Research Topic How To Choose A Research Topic: 5 Key Criteria How To Choose A Research Topic Step-By-Step Tutorial With Examples + Free Topic... Research Topics & Ideas: Automation & Robotics Research Topics & Ideas: Robotics 50 Topic Ideas To Kickstart Your Research... Research Topics & Ideas: Sociology Research Topics & Ideas: Sociology 50 Topic Ideas To Kickstart Your Research... Research Topics & Ideas: Public Health & Epidemiology Research Topics & Ideas: Public Health 50 Topic Ideas To Kickstart Your Research... Research Topics & Ideas: Neuroscience Research Topics & Ideas: Neuroscience 50 Topic Ideas To Kickstart Your Research... 📄 FREE TEMPLATES Research Topic Ideation Proposal Writing Literature Review Methodology & Analysis Academic Writing Referencing & Citing Apps, Tools & Tricks The Grad Coach Podcast 70 Comments This is an helpful tool 🙏 Special education Really appreciated by this . It is the best platform for research related items Research title related to school of students How are you I think this platform is actually good enough. Research title related to students My field is research measurement and evaluation. Need dissertation topics in the field Assalam o Alaikum I’m a student Bs educational Resarch and evaluation I’m confused to choose My thesis title please help me in choose the thesis title Good idea I’m going to teach my colleagues You can find our list of nursing-related research topic ideas here: https://gradcoach.com/research-topics-nursing/ Write on action research topic, using guidance and counseling to address unwanted teenage pregnancy in school Thanks a lot I learned a lot from this site, thank you so much! Thank you for the information.. I would like to request a topic based on school major in social studies parental involvement and students academic performance Science education topics? plz tell me if you got some good topics, im here for finding research topic for masters degree How about School management and supervision pls.? Hi i am an Deputy Principal in a primary school. My wish is to srudy foe Master’s degree in Education.Please advice me on which topic can be relevant for me. Thanks. Thank you so much for the information provided. I would like to get an advice on the topic to research for my masters program. My area of concern is on teacher morale versus students achievement. Every topic proposed above on primary education is a starting point for me. I appreciate immensely the team that has sat down to make a detail of these selected topics just for beginners like us. Be blessed. Kindly help me with the research questions on the topic” Effects of workplace conflict on the employees’ job performance”. The effects can be applicable in every institution,enterprise or organisation. Greetings, I am a student majoring in Sociology and minoring in Public Administration. I’m considering any recommended research topic in the field of Sociology. I’m a student pursuing Mphil in Basic education and I’m considering any recommended research proposal topic in my field of study Research Defense for students in senior high Kindly help me with a research topic in educational psychology. Ph.D level. Thank you. Project-based learning is a teaching/learning type,if well applied in a classroom setting will yield serious positive impact. What can a teacher do to implement this in a disadvantaged zone like “North West Region of Cameroon ( hinterland) where war has brought about prolonged and untold sufferings on the indegins? I wish to get help on topics of research on educational administration I wish to get help on topics of research on educational administration PhD level I am also looking for such type of title I am a student of undergraduate, doing research on how to use guidance and counseling to address unwanted teenage pregnancy in school the topics are very good regarding research & education . Am an undergraduate student carrying out a research on the impact of nutritional healthy eating programs on academic performance in primary schools Can i request your suggestion topic for my Thesis about Teachers as an OFW. thanx you Would like to request for suggestions on a topic in Economics of education,PhD level Would like to request for suggestions on a topic in Economics of education Hi 👋 I request that you help me with a written research proposal about education the format Am offering degree in education senior high School Accounting. I want a topic for my project work l would like to request suggestions on a topic in managing teaching and learning, PhD level (educational leadership and management) request suggestions on a topic in managing teaching and learning, PhD level (educational leadership and management) I would to inquire on research topics on Educational psychology, Masters degree I am PhD student, I am searching my Research topic, It should be innovative,my area of interest is online education,use of technology in education request suggestion on topic in masters in medical education . Look at British Library as they keep a copy of all PhDs in the UK Core.ac.uk to access Open University and 6 other university e-archives, pdf downloads mostly available, all free. May I also ask for a topic based on mathematics education for college teaching, please? Please I am a masters student of the department of Teacher Education, Faculty of Education Please I am in need of proposed project topics to help with my final year thesis Am a PhD student in Educational Foundations would like a sociological topic. Thank please i need a proposed thesis project regardging computer science Greetings and Regards I am a doctoral student in the field of philosophy of education. I am looking for a new topic for my thesis. Because of my work in the elementary school, I am looking for a topic that is from the field of elementary education and is related to the philosophy of education. Masters student in the field of curriculum, any ideas of a research topic on low achiever students In the field of curriculum any ideas of a research topic on deconalization in contextualization of digital teaching and learning through in higher education Amazing guidelines I am a graduate with two masters. 1) Master of arts in religious studies and 2) Master in education in foundations of education. I intend to do a Ph.D. on my second master’s, however, I need to bring both masters together through my Ph.D. research. can I do something like, ” The contribution of Philosophy of education for a quality religion education in Kenya”? kindly, assist and be free to suggest a similar topic that will bring together the two masters. thanks in advance Hi, I am an Early childhood trainer as well as a researcher, I need more support on this topic: The impact of early childhood education on later academic success. I’m a student in upper level secondary school and I need your support in this research topics: “Impact of incorporating project -based learning in teaching English language skills in secondary schools”. Although research activities and topics should stem from reflection on one’s practice, I found this site valuable as it effectively addressed many issues we have been experiencing as practitioners. Your style is unique in comparison to other folks I’ve read stuff from. Thanks for posting when you have the opportunity, Guess I will just book mark this site. Submit a Comment Cancel reply Your email address will not be published. Required fields are marked * Save my name, email, and website in this browser for the next time I comment. Submit Comment Print Friendly 293 IMAGES 😂 Quantitative research title. Format for a quantitative research 10 Examples Of Quantitative Research Titles And Their Research Design Quantitative-Research-Proposal-Topics-list.pdf WRITING THE QUANTITATIVE RESEARCH TITLE Quantitative Research 500+ Quantitative Research Titles and Topics VIDEO QUANTITATIVE RESEARCH TITLE IDEAS RELATED TO HUMMS STUDENT 10 Difference Between Qualitative and Quantitative Research (With Table) Difference Between Quantitative and Qualitative Research #quantitativeresearch #qualitativeresearch Difference between Quantitative and Qualitative Research || The Differences Explained || HOW TO MAKE THE BEST QUANTITATIVE RESEARCH TITLE? Importance of Quantitative Research in Different Fields COMMENTS 500+ Quantitative Research Titles and Topics Quantitative Research Topics. Quantitative Research Topics are as follows: The effects of social media on self-esteem among teenagers. A comparative study of academic achievement among students of single-sex and co-educational schools. The impact of gender on leadership styles in the workplace. 200 Quantitative Research Title for Stem Students To help you get started on your research journey, we've compiled a list of 200 quantitative research title for stem students. These titles span various STEM disciplines, from biology to computer science. Whether you're an undergraduate or graduate student, these titles can serve as a springboard for your research ideas. 100+ Best Quantitative Research Topics For Students In 2023 Quantitative research is a common approach in the natural and social sciences, like marketing, business, sociology, chemistry, biology, economics, and psychology. So, if you are fond of statistics and figures, a quantitative research title would be an excellent option for your research proposal or project. 200+ Experimental Quantitative Research Topics For Stem Students Here are 10 interesting research topics for STEM students: Exploring the science behind the formation of auroras and their cultural significance. Investigating the mysteries of dark matter and dark energy in the universe. Studying the psychology of decision-making in high-pressure situations, such as sports or. Best 151+ Quantitative Research Topics for STEM Students Chemistry. Let's get started with some quantitative research topics for stem students in chemistry: 1. Studying the properties of superconductors at different temperatures. 2. Analyzing the efficiency of various catalysts in chemical reactions. 3. Investigating the synthesis of novel polymers with unique properties. 4. 189+ Good Quantitative Research Topics For STEM Students Following are the best Quantitative Research Topics For STEM Students in mathematics and statistics. Prime Number Distribution: Investigate the distribution of prime numbers. Graph Theory Algorithms: Develop algorithms for solving graph theory problems. Statistical Analysis of Financial Markets: Analyze financial data and market trends. 110+ Best Quantitative Research Topics for STEM Students Overcoming Challenges in Quantitative Research. Quantitative research can face challenges, but these strategies can help: Data Quality. Clean Data: Fix errors and inconsistencies. Handle Missing Data: Use statistical methods for imputation. Validate Data: Cross-check with other sources. Sample Size. Power Analysis: Determine the right sample size. 55 Brilliant Research Topics For STEM Students There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students. A study of protease inhibitor and how it operates. A study of how men's exercise impacts DNA traits passed to children. A study of the future of commercial space flight. 100 Science Topics for Research Papers Research Sources. Science: As a premier publication in the field, Science publishes peer-reviewed research and expert-curated information. Nature: Publishes peer-reviewed articles on biology, environment, health, and physical sciences. Nature is an authoritative source for current information. If articles are difficult to read, you can search ... What Is Quantitative Research? Revised on June 22, 2023. Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations. Quantitative research is the opposite of qualitative research, which involves collecting and analyzing ... 200+ Research Title Ideas To Explore In 2024 Group Brainstorming: Collaborate with peers or mentors to gather diverse perspectives and insights. Group brainstorming can lead to innovative and multidimensional title ideas. Identifying Key Terms and Concepts: Break down your research into key terms and concepts. These will form the foundation of your title. 100+ Environmental Science Research Topics F inding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. Here, we'll explore a variety research ideas and topic thought-starters related to various environmental science disciplines, including ecology, oceanography, hydrology, geology, soil science, environmental chemistry, environmental ... 521 Research Questions & Titles about Science There are plenty of scientific research papers topics to choose from. You can pick an area that you prefer: astronomy, biology, chemistry, nature, geology, and physics. And we prepared a list of at least 35 cool research titles about science in each of them! However, you should put some effort into choosing a good and interesting topic. A Practical Guide to Writing Quantitative and Qualitative Research INTRODUCTION. Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses.1,2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results.3,4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the ... 150+ Quantitative Research Topics For HumSS Students In 2023 Environmental Ethics Research Topics For HumSS Students. Environmental ethics research topics in HumSS delve into the moral and ethical considerations of environmental and sustainability. Analyzing the ethics of mining practices in the Philippines. Investigating the moral responsibilities of corporations in environmental conservation. How to write the title for a quantitative research? To write a good title for a quantitative paper, you should follow these steps: List down the following items: The most important key words/concepts in your study. The methodology used. The samples/areas studied. Your most important finding. Draft a title that includes all the items you've listed (if you wish, do so in a sentence format). What is Quantitative Research? Definition, Methods, Types, and Examples Quantitative research is the process of collecting and analyzing numerical data to describe, predict, or control variables of interest. This type of research helps in testing the causal relationships between variables, making predictions, and generalizing results to wider populations. The purpose of quantitative research is to test a predefined ... Quantitative Methods Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques.Quantitative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon. Quantitative Research Topics Related to Humss Strand In this exploration, we delve into 80 quantitative research topics tailored for HumSS students, where the seemingly mundane becomes a treasure trove of insights. From the impact of social media on ... Trending Topic Research: STEM The American Educational Research Association (AERA), founded in 1916, is concerned with improving the educational process by encouraging scholarly inquiry related to education and evaluation and by promoting the dissemination and practical application of research results. AERA is the most prominent international professional organization, with the primary goal of advancing educational ... A Quick Guide to Quantitative Research in the Social Sciences As the book title stated, this book provides "A Quick Guide to Quantitative Research in Social Science. It offers easy-to-read information and introduces the readers to the research process, such as research questions, research paradigms, research process, research designs, research methods, data collection, data analysis, and data discussion. What Is Quantitative Research? An Overview and Guidelines Abstract. In an era of data-driven decision-making, a comprehensive understanding of quantitative research is indispensable. Current guides often provide fragmented insights, failing to offer a holistic view, while more comprehensive sources remain lengthy and less accessible, hindered by physical and proprietary barriers. 170+ Research Topics In Education (+ Free Webinar) The use of student data to inform instruction. The role of parental involvement in education. The effects of mindfulness practices in the classroom. The use of technology in the classroom. The role of critical thinking in education. The use of formative and summative assessments in the classroom. assignment essay homework paper phd report resume review speech thesis