action research project goal

• Skip to main content
• Skip to primary sidebar
• Skip to footer
• QuestionPro

• Solutions Industries Gaming Automotive Sports and events Education Government Travel & Hospitality Financial Services Healthcare Cannabis Technology Use Case AskWhy Communities Audience Contactless surveys Mobile LivePolls Member Experience GDPR Positive People Science 360 Feedback Surveys
• Resources Blog eBooks Survey Templates Case Studies Training Help center

Home Market Research Research Tools and Apps

Action Research: What it is, Stages & Examples

The best way to get things accomplished is to do it yourself. This statement is utilized in corporations, community projects, and national governments. These organizations are relying on action research to cope with their continuously changing and unstable environments as they function in a more interdependent world.

In practical educational contexts, this involves using systematic inquiry and reflective practice to address real-world challenges, improve teaching and learning, enhance student engagement, and drive positive changes within the educational system.

This post outlines the definition of action research, its stages, and some examples.

Content Index

What is action research?

Stages of action research, the steps to conducting action research, examples of action research, advantages and disadvantages of action research.

Action research is a strategy that tries to find realistic solutions to organizations’ difficulties and issues. It is similar to applied research.

Action research refers basically learning by doing. First, a problem is identified, then some actions are taken to address it, then how well the efforts worked are measured, and if the results are not satisfactory, the steps are applied again.

It can be put into three different groups:

• Positivist: This type of research is also called “classical action research.” It considers research a social experiment. This research is used to test theories in the actual world.
• Interpretive: This kind of research is called “contemporary action research.” It thinks that business reality is socially made, and when doing this research, it focuses on the details of local and organizational factors.
• Critical: This action research cycle takes a critical reflection approach to corporate systems and tries to enhance them.

All research is about learning new things. Collaborative action research contributes knowledge based on investigations in particular and frequently useful circumstances. It starts with identifying a problem. After that, the research process is followed by the below stages:

Stage 1: Plan

For an action research project to go well, the researcher needs to plan it well. After coming up with an educational research topic or question after a research study, the first step is to develop an action plan to guide the research process. The research design aims to address the study’s question. The research strategy outlines what to undertake, when, and how.

Stage 2: Act

The next step is implementing the plan and gathering data. At this point, the researcher must select how to collect and organize research data . The researcher also needs to examine all tools and equipment before collecting data to ensure they are relevant, valid, and comprehensive.

Stage 3: Observe

Data observation is vital to any investigation. The action researcher needs to review the project’s goals and expectations before data observation. This is the final step before drawing conclusions and taking action.

Different kinds of graphs, charts, and networks can be used to represent the data. It assists in making judgments or progressing to the next stage of observing.

Stage 4: Reflect

This step involves applying a prospective solution and observing the results. It’s essential to see if the possible solution found through research can really solve the problem being studied.

The researcher must explore alternative ideas when the action research project’s solutions fail to solve the problem.

Action research is a systematic approach researchers, educators, and practitioners use to identify and address problems or challenges within a specific context. It involves a cyclical process of planning, implementing, reflecting, and adjusting actions based on the data collected. Here are the general steps involved in conducting an action research process:

Identify the action research question or problem

Clearly define the issue or problem you want to address through your research. It should be specific, actionable, and relevant to your working context.

Review existing knowledge

Conduct a literature review to understand what research has already been done on the topic. This will help you gain insights, identify gaps, and inform your research design.

Plan the research

Develop a research plan outlining your study’s objectives, methods, data collection tools, and timeline. Determine the scope of your research and the participants or stakeholders involved.

Collect data

Implement your research plan by collecting relevant data. This can involve various methods such as surveys, interviews, observations, document analysis, or focus groups. Ensure that your data collection methods align with your research objectives and allow you to gather the necessary information.

Analyze the data

Once you have collected the data, analyze it using appropriate qualitative or quantitative techniques. Look for patterns, themes, or trends in the data that can help you understand the problem better.

Reflect on the findings

Reflect on the analyzed data and interpret the results in the context of your research question. Consider the implications and possible solutions that emerge from the data analysis. This reflection phase is crucial for generating insights and understanding the underlying factors contributing to the problem.

Develop an action plan

Based on your analysis and reflection, develop an action plan that outlines the steps you will take to address the identified problem. The plan should be specific, measurable, achievable, relevant, and time-bound (SMART goals). Consider involving relevant stakeholders in planning to ensure their buy-in and support.

Implement the action plan

Put your action plan into practice by implementing the identified strategies or interventions. This may involve making changes to existing practices, introducing new approaches, or testing alternative solutions. Document the implementation process and any modifications made along the way.

Evaluate and monitor progress

Continuously monitor and evaluate the impact of your actions. Collect additional data, assess the effectiveness of the interventions, and measure progress towards your goals. This evaluation will help you determine if your actions have the desired effects and inform any necessary adjustments.

Reflect and iterate

Reflect on the outcomes of your actions and the evaluation results. Consider what worked well, what did not, and why. Use this information to refine your approach, make necessary adjustments, and plan for the next cycle of action research if needed.

Remember that participatory action research is an iterative process, and multiple cycles may be required to achieve significant improvements or solutions to the identified problem. Each cycle builds on the insights gained from the previous one, fostering continuous learning and improvement.

Explore Insightfully Contextual Inquiry in Qualitative Research

Here are two real-life examples of action research.

Action research initiatives are frequently situation-specific. Still, other researchers can adapt the techniques. The example is from a researcher’s (Franklin, 1994) report about a project encouraging nature tourism in the Caribbean.

In 1991, this was launched to study how nature tourism may be implemented on the four Windward Islands in the Caribbean: St. Lucia, Grenada, Dominica, and St. Vincent.

For environmental protection, a government-led action study determined that the consultation process needs to involve numerous stakeholders, including commercial enterprises.

First, two researchers undertook the study and held search conferences on each island. The search conferences resulted in suggestions and action plans for local community nature tourism sub-projects.

Several islands formed advisory groups and launched national awareness and community projects. Regional project meetings were held to discuss experiences, self-evaluations, and strategies. Creating a documentary about a local initiative helped build community. And the study was a success, leading to a number of changes in the area.

Lau and Hayward (1997) employed action research to analyze Internet-based collaborative work groups.

Over two years, the researchers facilitated three action research problem -solving cycles with 15 teachers, project personnel, and 25 health practitioners from diverse areas. The goal was to see how Internet-based communications might affect their virtual workgroup.

First, expectations were defined, technology was provided, and a bespoke workgroup system was developed. Participants suggested shorter, more dispersed training sessions with project-specific instructions.

The second phase saw the system’s complete deployment. The final cycle witnessed system stability and virtual group formation. The key lesson was that the learning curve was poorly misjudged, with frustrations only marginally met by phone-based technical help. According to the researchers, the absence of high-quality online material about community healthcare was harmful.

Role clarity, connection building, knowledge sharing, resource assistance, and experiential learning are vital for virtual group growth. More study is required on how group support systems might assist groups in engaging with their external environment and boost group members’ learning. 

Action research has both good and bad points.

• It is very flexible, so researchers can change their analyses to fit their needs and make individual changes.
• It offers a quick and easy way to solve problems that have been going on for a long time instead of complicated, long-term solutions based on complex facts.
• If It is done right, it can be very powerful because it can lead to social change and give people the tools to make that change in ways that are important to their communities.

Disadvantages

• These studies have a hard time being generalized and are hard to repeat because they are so flexible. Because the researcher has the power to draw conclusions, they are often not thought to be theoretically sound.
• Setting up an action study in an ethical way can be hard. People may feel like they have to take part or take part in a certain way.
• It is prone to research errors like selection bias , social desirability bias, and other cognitive biases.

LEARN ABOUT: Self-Selection Bias

This post discusses how action research generates knowledge, its steps, and real-life examples. It is very applicable to the field of research and has a high level of relevance. We can only state that the purpose of this research is to comprehend an issue and find a solution to it.

At QuestionPro, we give researchers tools for collecting data, like our survey software, and a library of insights for any long-term study. Go to the Insight Hub if you want to see a demo or learn more about it.

LEARN MORE         FREE TRIAL

Frequently Asked Questions(FAQ’s)

Action research is a systematic approach to inquiry that involves identifying a problem or challenge in a practical context, implementing interventions or changes, collecting and analyzing data, and using the findings to inform decision-making and drive positive change.

Action research can be conducted by various individuals or groups, including teachers, administrators, researchers, and educational practitioners. It is often carried out by those directly involved in the educational setting where the research takes place.

The steps of action research typically include identifying a problem, reviewing relevant literature, designing interventions or changes, collecting and analyzing data, reflecting on findings, and implementing improvements based on the results.

MORE LIKE THIS

Experimental vs Observational Studies: Differences & Examples

Sep 5, 2024

Interactive Forms: Key Features, Benefits, Uses + Design Tips

Sep 4, 2024

Closed-Loop Management: The Key to Customer Centricity

Sep 3, 2024

Net Trust Score: Tool for Measuring Trust in Organization

Sep 2, 2024

Other categories

• Academic Research
• Artificial Intelligence
• Assessments
• Brand Awareness
• Case Studies
• Communities
• Consumer Insights
• Customer effort score
• Customer Engagement
• Customer Experience
• Customer Loyalty
• Customer Research
• Customer Satisfaction
• Employee Benefits
• Employee Engagement
• Employee Retention
• Friday Five
• General Data Protection Regulation
• Insights Hub
• Life@QuestionPro
• Market Research
• Mobile diaries
• Mobile Surveys
• New Features
• Online Communities
• Question Types
• Questionnaire
• QuestionPro Products
• Release Notes
• Research Tools and Apps
• Revenue at Risk
• Survey Templates
• Training Tips
• Tuesday CX Thoughts (TCXT)
• Uncategorized
• What’s Coming Up
• Workforce Intelligence

21 Action Research Examples (In Education)

Dave Cornell (PhD)

Dr. Cornell has worked in education for more than 20 years. His work has involved designing teacher certification for Trinity College in London and in-service training for state governments in the United States. He has trained kindergarten teachers in 8 countries and helped businessmen and women open baby centers and kindergartens in 3 countries.

Learn about our Editorial Process

Chris Drew (PhD)

This article was peer-reviewed and edited by Chris Drew (PhD). The review process on Helpful Professor involves having a PhD level expert fact check, edit, and contribute to articles. Reviewers ensure all content reflects expert academic consensus and is backed up with reference to academic studies. Dr. Drew has published over 20 academic articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education and holds a PhD in Education from ACU.

Action research is an example of qualitative research . It refers to a wide range of evaluative or investigative methods designed to analyze professional practices and take action for improvement.

Commonly used in education, those practices could be related to instructional methods, classroom practices, or school organizational matters.

The creation of action research is attributed to Kurt Lewin , a German-American psychologist also considered to be the father of social psychology.

Gillis and Jackson (2002) offer a very concise definition of action research: “systematic collection and analysis of data for the purpose of taking action and making change” (p.264).

The methods of action research in education include:

• conducting in-class observations
• taking field notes
• surveying or interviewing teachers, administrators, or parents
• using audio and video recordings.

The goal is to identify problematic issues, test possible solutions, or simply carry-out continuous improvement.

There are several steps in action research : identify a problem, design a plan to resolve, implement the plan, evaluate effectiveness, reflect on results, make necessary adjustment and repeat the process.

Action Research Examples

• Digital literacy assessment and training: The school’s IT department conducts a survey on students’ digital literacy skills. Based on the results, a tailored training program is designed for different age groups.
• Library resources utilization study: The school librarian tracks the frequency and type of books checked out by students. The data is then used to curate a more relevant collection and organize reading programs.
• Extracurricular activities and student well-being: A team of teachers and counselors assess the impact of extracurricular activities on student mental health through surveys and interviews. Adjustments are made based on findings.
• Parent-teacher communication channels: The school evaluates the effectiveness of current communication tools (e.g., newsletters, apps) between teachers and parents. Feedback is used to implement a more streamlined system.
• Homework load evaluation: Teachers across grade levels assess the amount and effectiveness of homework given. Adjustments are made to ensure a balance between academic rigor and student well-being.
• Classroom environment and learning: A group of teachers collaborates to study the impact of classroom layouts and decorations on student engagement and comprehension. Changes are made based on the findings.
• Student feedback on curriculum content: High school students are surveyed about the relevance and applicability of their current curriculum. The feedback is then used to make necessary curriculum adjustments.
• Teacher mentoring and support: New teachers are paired with experienced mentors. Both parties provide feedback on the effectiveness of the mentoring program, leading to continuous improvements.
• Assessment of school transportation: The school board evaluates the efficiency and safety of school buses through surveys with students and parents. Necessary changes are implemented based on the results.
• Cultural sensitivity training: After conducting a survey on students’ cultural backgrounds and experiences, the school organizes workshops for teachers to promote a more inclusive classroom environment.
• Environmental initiatives and student involvement: The school’s eco-club assesses the school’s carbon footprint and waste management. They then collaborate with the administration to implement greener practices and raise environmental awareness.
• Working with parents through research: A school’s admin staff conduct focus group sessions with parents to identify top concerns.Those concerns will then be addressed and another session conducted at the end of the school year.
• Peer teaching observations and improvements: Kindergarten teachers observe other teachers handling class transition techniques to share best practices.
• PTA surveys and resultant action: The PTA of a district conducts a survey of members regarding their satisfaction with remote learning classes.The results will be presented to the school board for further action.
• Recording and reflecting: A school administrator takes video recordings of playground behavior and then plays them for the teachers. The teachers work together to formulate a list of 10 playground safety guidelines.
• Pre/post testing of interventions: A school board conducts a district wide evaluation of a STEM program by conducting a pre/post-test of students’ skills in computer programming.
• Focus groups of practitioners : The professional development needs of teachers are determined from structured focus group sessions with teachers and admin.
• School lunch research and intervention: A nutrition expert is hired to evaluate and improve the quality of school lunches.
• School nurse systematic checklist and improvements: The school nurse implements a bathroom cleaning checklist to monitor cleanliness after the results of a recent teacher survey revealed several issues.
• Wearable technologies for pedagogical improvements; Students wear accelerometers attached to their hips to gain a baseline measure of physical activity.The results will identify if any issues exist.
• School counselor reflective practice : The school counselor conducts a student survey on antisocial behavior and then plans a series of workshops for both teachers and parents.

Detailed Examples

1. cooperation and leadership.

A science teacher has noticed that her 9 th grade students do not cooperate with each other when doing group projects. There is a lot of arguing and battles over whose ideas will be followed.

So, she decides to implement a simple action research project on the matter. First, she conducts a structured observation of the students’ behavior during meetings. She also has the students respond to a short questionnaire regarding their notions of leadership.

She then designs a two-week course on group dynamics and leadership styles. The course involves learning about leadership concepts and practices . In another element of the short course, students randomly select a leadership style and then engage in a role-play with other students.

At the end of the two weeks, she has the students work on a group project and conducts the same structured observation as before. She also gives the students a slightly different questionnaire on leadership as it relates to the group.

She plans to analyze the results and present the findings at a teachers’ meeting at the end of the term.

2. Professional Development Needs

Two high-school teachers have been selected to participate in a 1-year project in a third-world country. The project goal is to improve the classroom effectiveness of local teachers. 

The two teachers arrive in the country and begin to plan their action research. First, they decide to conduct a survey of teachers in the nearby communities of the school they are assigned to.

The survey will assess their professional development needs by directly asking the teachers and administrators. After collecting the surveys, they analyze the results by grouping the teachers based on subject matter.

They discover that history and social science teachers would like professional development on integrating smartboards into classroom instruction. Math teachers would like to attend workshops on project-based learning, while chemistry teachers feel that they need equipment more than training.

The two teachers then get started on finding the necessary training experts for the workshops and applying for equipment grants for the science teachers.

3. Playground Accidents

The school nurse has noticed a lot of students coming in after having mild accidents on the playground. She’s not sure if this is just her perception or if there really is an unusual increase this year.  So, she starts pulling data from the records over the last two years. She chooses the months carefully and only selects data from the first three months of each school year.

She creates a chart to make the data more easily understood. Sure enough, there seems to have been a dramatic increase in accidents this year compared to the same period of time from the previous two years.

She shows the data to the principal and teachers at the next meeting. They all agree that a field observation of the playground is needed.

Those observations reveal that the kids are not having accidents on the playground equipment as originally suspected. It turns out that the kids are tripping on the new sod that was installed over the summer.

They examine the sod and observe small gaps between the slabs. Each gap is approximately 1.5 inches wide and nearly two inches deep. The kids are tripping on this gap as they run.

They then discuss possible solutions.

4. Differentiated Learning

Trying to use the same content, methods, and processes for all students is a recipe for failure. This is why modifying each lesson to be flexible is highly recommended. Differentiated learning allows the teacher to adjust their teaching strategy based on all the different personalities and learning styles they see in their classroom.

Of course, differentiated learning should undergo the same rigorous assessment that all teaching techniques go through. So, a third-grade social science teacher asks his students to take a simple quiz on the industrial revolution. Then, he applies differentiated learning to the lesson.

By creating several different learning stations in his classroom, he gives his students a chance to learn about the industrial revolution in a way that captures their interests. The different stations contain: short videos, fact cards, PowerPoints, mini-chapters, and role-plays.

At the end of the lesson, students get to choose how they demonstrate their knowledge. They can take a test, construct a PPT, give an oral presentation, or conduct a simulated TV interview with different characters.

During this last phase of the lesson, the teacher is able to assess if they demonstrate the necessary knowledge and have achieved the defined learning outcomes. This analysis will allow him to make further adjustments to future lessons.

5. Healthy Habits Program

While looking at obesity rates of students, the school board of a large city is shocked by the dramatic increase in the weight of their students over the last five years. After consulting with three companies that specialize in student physical health, they offer the companies an opportunity to prove their value.

So, the board randomly assigns each company to a group of schools. Starting in the next academic year, each company will implement their healthy habits program in 5 middle schools.

Preliminary data is collected at each school at the beginning of the school year. Each and every student is weighed, their resting heart rate, blood pressure and cholesterol are also measured.

After analyzing the data, it is found that the schools assigned to each of the three companies are relatively similar on all of these measures.

At the end of the year, data for students at each school will be collected again. A simple comparison of pre- and post-program measurements will be conducted. The company with the best outcomes will be selected to implement their program city-wide.

Action research is a great way to collect data on a specific issue, implement a change, and then evaluate the effects of that change. It is perhaps the most practical of all types of primary research .

Most likely, the results will be mixed. Some aspects of the change were effective, while other elements were not. That’s okay. This just means that additional modifications to the change plan need to be made, which is usually quite easy to do.

There are many methods that can be utilized, such as surveys, field observations , and program evaluations.

The beauty of action research is based in its utility and flexibility. Just about anyone in a school setting is capable of conducting action research and the information can be incredibly useful.

Aronson, E., & Patnoe, S. (1997). The jigsaw classroom: Building cooperation in the classroom (2nd ed.). New York: Addison Wesley Longman.

Gillis, A., & Jackson, W. (2002). Research Methods for Nurses: Methods and Interpretation . Philadelphia: F.A. Davis Company.

Lewin, K. (1946). Action research and minority problems. Journal of SocialIssues, 2 (4), 34-46.

Macdonald, C. (2012). Understanding participatory action research: A qualitative research methodology option. Canadian Journal of Action Research, 13 , 34-50. https://doi.org/10.33524/cjar.v13i2.37 Mertler, C. A. (2008). Action Research: Teachers as Researchers in the Classroom . London: Sage.

• Dave Cornell (PhD) https://helpfulprofessor.com/author/dave-cornell-phd/ 23 Achieved Status Examples
• Dave Cornell (PhD) https://helpfulprofessor.com/author/dave-cornell-phd/ 25 Defense Mechanisms Examples
• Dave Cornell (PhD) https://helpfulprofessor.com/author/dave-cornell-phd/ 15 Theory of Planned Behavior Examples
• Dave Cornell (PhD) https://helpfulprofessor.com/author/dave-cornell-phd/ 18 Adaptive Behavior Examples

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 23 Achieved Status Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 15 Ableism Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 25 Defense Mechanisms Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 15 Theory of Planned Behavior Examples

2 thoughts on “21 Action Research Examples (In Education)”

Where can I capture this article in a better user-friendly format, since I would like to provide it to my students in a Qualitative Methods course at the University of Prince Edward Island? It is a good article, however, it is visually disjointed in its current format. Thanks, Dr. Frank T. Lavandier

Hi Dr. Lavandier,

I’ve emailed you a word doc copy that you can use and edit with your class.

Best, Chris.

Leave a Comment Cancel Reply

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

Want to create or adapt books like this? Learn more about how Pressbooks supports open publishing practices.

1 What is Action Research for Classroom Teachers?

ESSENTIAL QUESTIONS

• What is the nature of action research?
• How does action research develop in the classroom?
• What models of action research work best for your classroom?
• What are the epistemological, ontological, theoretical underpinnings of action research?

Educational research provides a vast landscape of knowledge on topics related to teaching and learning, curriculum and assessment, students’ cognitive and affective needs, cultural and socio-economic factors of schools, and many other factors considered viable to improving schools. Educational stakeholders rely on research to make informed decisions that ultimately affect the quality of schooling for their students. Accordingly, the purpose of educational research is to engage in disciplined inquiry to generate knowledge on topics significant to the students, teachers, administrators, schools, and other educational stakeholders. Just as the topics of educational research vary, so do the approaches to conducting educational research in the classroom. Your approach to research will be shaped by your context, your professional identity, and paradigm (set of beliefs and assumptions that guide your inquiry). These will all be key factors in how you generate knowledge related to your work as an educator.

Action research is an approach to educational research that is commonly used by educational practitioners and professionals to examine, and ultimately improve, their pedagogy and practice. In this way, action research represents an extension of the reflection and critical self-reflection that an educator employs on a daily basis in their classroom. When students are actively engaged in learning, the classroom can be dynamic and uncertain, demanding the constant attention of the educator. Considering these demands, educators are often only able to engage in reflection that is fleeting, and for the purpose of accommodation, modification, or formative assessment. Action research offers one path to more deliberate, substantial, and critical reflection that can be documented and analyzed to improve an educator’s practice.

Purpose of Action Research

As one of many approaches to educational research, it is important to distinguish the potential purposes of action research in the classroom. This book focuses on action research as a method to enable and support educators in pursuing effective pedagogical practices by transforming the quality of teaching decisions and actions, to subsequently enhance student engagement and learning. Being mindful of this purpose, the following aspects of action research are important to consider as you contemplate and engage with action research methodology in your classroom:

• Action research is a process for improving educational practice. Its methods involve action, evaluation, and reflection. It is a process to gather evidence to implement change in practices.
• Action research is participative and collaborative. It is undertaken by individuals with a common purpose.
• Action research is situation and context-based.
• Action research develops reflection practices based on the interpretations made by participants.
• Knowledge is created through action and application.
• Action research can be based in problem-solving, if the solution to the problem results in the improvement of practice.
• Action research is iterative; plans are created, implemented, revised, then implemented, lending itself to an ongoing process of reflection and revision.
• In action research, findings emerge as action develops and takes place; however, they are not conclusive or absolute, but ongoing (Koshy, 2010, pgs. 1-2).

In thinking about the purpose of action research, it is helpful to situate action research as a distinct paradigm of educational research. I like to think about action research as part of the larger concept of living knowledge. Living knowledge has been characterized as “a quest for life, to understand life and to create… knowledge which is valid for the people with whom I work and for myself” (Swantz, in Reason & Bradbury, 2001, pg. 1). Why should educators care about living knowledge as part of educational research? As mentioned above, action research is meant “to produce practical knowledge that is useful to people in the everyday conduct of their lives and to see that action research is about working towards practical outcomes” (Koshy, 2010, pg. 2). However, it is also about:

creating new forms of understanding, since action without reflection and understanding is blind, just as theory without action is meaningless. The participatory nature of action research makes it only possible with, for and by persons and communities, ideally involving all stakeholders both in the questioning and sense making that informs the research, and in the action, which is its focus. (Reason & Bradbury, 2001, pg. 2)

In an effort to further situate action research as living knowledge, Jean McNiff reminds us that “there is no such ‘thing’ as ‘action research’” (2013, pg. 24). In other words, action research is not static or finished, it defines itself as it proceeds. McNiff’s reminder characterizes action research as action-oriented, and a process that individuals go through to make their learning public to explain how it informs their practice. Action research does not derive its meaning from an abstract idea, or a self-contained discovery – action research’s meaning stems from the way educators negotiate the problems and successes of living and working in the classroom, school, and community.

While we can debate the idea of action research, there are people who are action researchers, and they use the idea of action research to develop principles and theories to guide their practice. Action research, then, refers to an organization of principles that guide action researchers as they act on shared beliefs, commitments, and expectations in their inquiry.

Reflection and the Process of Action Research

When an individual engages in reflection on their actions or experiences, it is typically for the purpose of better understanding those experiences, or the consequences of those actions to improve related action and experiences in the future. Reflection in this way develops knowledge around these actions and experiences to help us better regulate those actions in the future. The reflective process generates new knowledge regularly for classroom teachers and informs their classroom actions.

Unfortunately, the knowledge generated by educators through the reflective process is not always prioritized among the other sources of knowledge educators are expected to utilize in the classroom. Educators are expected to draw upon formal types of knowledge, such as textbooks, content standards, teaching standards, district curriculum and behavioral programs, etc., to gain new knowledge and make decisions in the classroom. While these forms of knowledge are important, the reflective knowledge that educators generate through their pedagogy is the amalgamation of these types of knowledge enacted in the classroom. Therefore, reflective knowledge is uniquely developed based on the action and implementation of an educator’s pedagogy in the classroom. Action research offers a way to formalize the knowledge generated by educators so that it can be utilized and disseminated throughout the teaching profession.

Research is concerned with the generation of knowledge, and typically creating knowledge related to a concept, idea, phenomenon, or topic. Action research generates knowledge around inquiry in practical educational contexts. Action research allows educators to learn through their actions with the purpose of developing personally or professionally. Due to its participatory nature, the process of action research is also distinct in educational research. There are many models for how the action research process takes shape. I will share a few of those here. Each model utilizes the following processes to some extent:

• Plan a change;
• Take action to enact the change;
• Observe the process and consequences of the change;
• Reflect on the process and consequences;
• Act, observe, & reflect again and so on.

Figure 1.1 Basic action research cycle

There are many other models that supplement the basic process of action research with other aspects of the research process to consider. For example, figure 1.2 illustrates a spiral model of action research proposed by Kemmis and McTaggart (2004). The spiral model emphasizes the cyclical process that moves beyond the initial plan for change. The spiral model also emphasizes revisiting the initial plan and revising based on the initial cycle of research:

Figure 1.2 Interpretation of action research spiral, Kemmis and McTaggart (2004, p. 595)

Other models of action research reorganize the process to emphasize the distinct ways knowledge takes shape in the reflection process. O’Leary’s (2004, p. 141) model, for example, recognizes that the research may take shape in the classroom as knowledge emerges from the teacher’s observations. O’Leary highlights the need for action research to be focused on situational understanding and implementation of action, initiated organically from real-time issues:

Figure 1.3 Interpretation of O’Leary’s cycles of research, O’Leary (2000, p. 141)

Lastly, Macintyre’s (2000, p. 1) model, offers a different characterization of the action research process. Macintyre emphasizes a messier process of research with the initial reflections and conclusions as the benchmarks for guiding the research process. Macintyre emphasizes the flexibility in planning, acting, and observing stages to allow the process to be naturalistic. Our interpretation of Macintyre process is below:

Figure 1.4 Interpretation of the action research cycle, Macintyre (2000, p. 1)

We believe it is important to prioritize the flexibility of the process, and encourage you to only use these models as basic guides for your process. Your process may look similar, or you may diverge from these models as you better understand your students, context, and data.

Definitions of Action Research and Examples

At this point, it may be helpful for readers to have a working definition of action research and some examples to illustrate the methodology in the classroom. Bassey (1998, p. 93) offers a very practical definition and describes “action research as an inquiry which is carried out in order to understand, to evaluate and then to change, in order to improve educational practice.” Cohen and Manion (1994, p. 192) situate action research differently, and describe action research as emergent, writing:

essentially an on-the-spot procedure designed to deal with a concrete problem located in an immediate situation. This means that ideally, the step-by-step process is constantly monitored over varying periods of time and by a variety of mechanisms (questionnaires, diaries, interviews and case studies, for example) so that the ensuing feedback may be translated into modifications, adjustment, directional changes, redefinitions, as necessary, so as to bring about lasting benefit to the ongoing process itself rather than to some future occasion.

Lastly, Koshy (2010, p. 9) describes action research as:

a constructive inquiry, during which the researcher constructs his or her knowledge of specific issues through planning, acting, evaluating, refining and learning from the experience. It is a continuous learning process in which the researcher learns and also shares the newly generated knowledge with those who may benefit from it.

These definitions highlight the distinct features of action research and emphasize the purposeful intent of action researchers to improve, refine, reform, and problem-solve issues in their educational context. To better understand the distinctness of action research, these are some examples of action research topics:

Examples of Action Research Topics

• Flexible seating in 4th grade classroom to increase effective collaborative learning.
• Structured homework protocols for increasing student achievement.
• Developing a system of formative feedback for 8th grade writing.
• Using music to stimulate creative writing.
• Weekly brown bag lunch sessions to improve responses to PD from staff.
• Using exercise balls as chairs for better classroom management.

Action Research in Theory

Action research-based inquiry in educational contexts and classrooms involves distinct participants – students, teachers, and other educational stakeholders within the system. All of these participants are engaged in activities to benefit the students, and subsequently society as a whole. Action research contributes to these activities and potentially enhances the participants’ roles in the education system. Participants’ roles are enhanced based on two underlying principles:

• communities, schools, and classrooms are sites of socially mediated actions, and action research provides a greater understanding of self and new knowledge of how to negotiate these socially mediated environments;
• communities, schools, and classrooms are part of social systems in which humans interact with many cultural tools, and action research provides a basis to construct and analyze these interactions.

In our quest for knowledge and understanding, we have consistently analyzed human experience over time and have distinguished between types of reality. Humans have constantly sought “facts” and “truth” about reality that can be empirically demonstrated or observed.

Social systems are based on beliefs, and generally, beliefs about what will benefit the greatest amount of people in that society. Beliefs, and more specifically the rationale or support for beliefs, are not always easy to demonstrate or observe as part of our reality. Take the example of an English Language Arts teacher who prioritizes argumentative writing in her class. She believes that argumentative writing demonstrates the mechanics of writing best among types of writing, while also providing students a skill they will need as citizens and professionals. While we can observe the students writing, and we can assess their ability to develop a written argument, it is difficult to observe the students’ understanding of argumentative writing and its purpose in their future. This relates to the teacher’s beliefs about argumentative writing; we cannot observe the real value of the teaching of argumentative writing. The teacher’s rationale and beliefs about teaching argumentative writing are bound to the social system and the skills their students will need to be active parts of that system. Therefore, our goal through action research is to demonstrate the best ways to teach argumentative writing to help all participants understand its value as part of a social system.

The knowledge that is conveyed in a classroom is bound to, and justified by, a social system. A postmodernist approach to understanding our world seeks knowledge within a social system, which is directly opposed to the empirical or positivist approach which demands evidence based on logic or science as rationale for beliefs. Action research does not rely on a positivist viewpoint to develop evidence and conclusions as part of the research process. Action research offers a postmodernist stance to epistemology (theory of knowledge) and supports developing questions and new inquiries during the research process. In this way action research is an emergent process that allows beliefs and decisions to be negotiated as reality and meaning are being constructed in the socially mediated space of the classroom.

Theorizing Action Research for the Classroom

All research, at its core, is for the purpose of generating new knowledge and contributing to the knowledge base of educational research. Action researchers in the classroom want to explore methods of improving their pedagogy and practice. The starting place of their inquiry stems from their pedagogy and practice, so by nature the knowledge created from their inquiry is often contextually specific to their classroom, school, or community. Therefore, we should examine the theoretical underpinnings of action research for the classroom. It is important to connect action research conceptually to experience; for example, Levin and Greenwood (2001, p. 105) make these connections:

• Action research is context bound and addresses real life problems.
• Action research is inquiry where participants and researchers cogenerate knowledge through collaborative communicative processes in which all participants’ contributions are taken seriously.
• The meanings constructed in the inquiry process lead to social action or these reflections and action lead to the construction of new meanings.
• The credibility/validity of action research knowledge is measured according to whether the actions that arise from it solve problems (workability) and increase participants’ control over their own situation.

Educators who engage in action research will generate new knowledge and beliefs based on their experiences in the classroom. Let us emphasize that these are all important to you and your work, as both an educator and researcher. It is these experiences, beliefs, and theories that are often discounted when more official forms of knowledge (e.g., textbooks, curriculum standards, districts standards) are prioritized. These beliefs and theories based on experiences should be valued and explored further, and this is one of the primary purposes of action research in the classroom. These beliefs and theories should be valued because they were meaningful aspects of knowledge constructed from teachers’ experiences. Developing meaning and knowledge in this way forms the basis of constructivist ideology, just as teachers often try to get their students to construct their own meanings and understandings when experiencing new ideas.  

Classroom Teachers Constructing their Own Knowledge

Most of you are probably at least minimally familiar with constructivism, or the process of constructing knowledge. However, what is constructivism precisely, for the purposes of action research? Many scholars have theorized constructivism and have identified two key attributes (Koshy, 2010; von Glasersfeld, 1987):

• Knowledge is not passively received, but actively developed through an individual’s cognition;
• Human cognition is adaptive and finds purpose in organizing the new experiences of the world, instead of settling for absolute or objective truth.

Considering these two attributes, constructivism is distinct from conventional knowledge formation because people can develop a theory of knowledge that orders and organizes the world based on their experiences, instead of an objective or neutral reality. When individuals construct knowledge, there are interactions between an individual and their environment where communication, negotiation and meaning-making are collectively developing knowledge. For most educators, constructivism may be a natural inclination of their pedagogy. Action researchers have a similar relationship to constructivism because they are actively engaged in a process of constructing knowledge. However, their constructions may be more formal and based on the data they collect in the research process. Action researchers also are engaged in the meaning making process, making interpretations from their data. These aspects of the action research process situate them in the constructivist ideology. Just like constructivist educators, action researchers’ constructions of knowledge will be affected by their individual and professional ideas and values, as well as the ecological context in which they work (Biesta & Tedder, 2006). The relations between constructivist inquiry and action research is important, as Lincoln (2001, p. 130) states:

much of the epistemological, ontological, and axiological belief systems are the same or similar, and methodologically, constructivists and action researchers work in similar ways, relying on qualitative methods in face-to-face work, while buttressing information, data and background with quantitative method work when necessary or useful.

While there are many links between action research and educators in the classroom, constructivism offers the most familiar and practical threads to bind the beliefs of educators and action researchers.  

Epistemology, Ontology, and Action Research

It is also important for educators to consider the philosophical stances related to action research to better situate it with their beliefs and reality. When researchers make decisions about the methodology they intend to use, they will consider their ontological and epistemological stances. It is vital that researchers clearly distinguish their philosophical stances and understand the implications of their stance in the research process, especially when collecting and analyzing their data. In what follows, we will discuss ontological and epistemological stances in relation to action research methodology.

Ontology, or the theory of being, is concerned with the claims or assumptions we make about ourselves within our social reality – what do we think exists, what does it look like, what entities are involved and how do these entities interact with each other (Blaikie, 2007). In relation to the discussion of constructivism, generally action researchers would consider their educational reality as socially constructed. Social construction of reality happens when individuals interact in a social system. Meaningful construction of concepts and representations of reality develop through an individual’s interpretations of others’ actions. These interpretations become agreed upon by members of a social system and become part of social fabric, reproduced as knowledge and beliefs to develop assumptions about reality. Researchers develop meaningful constructions based on their experiences and through communication. Educators as action researchers will be examining the socially constructed reality of schools. In the United States, many of our concepts, knowledge, and beliefs about schooling have been socially constructed over the last hundred years. For example, a group of teachers may look at why fewer female students enroll in upper-level science courses at their school. This question deals directly with the social construction of gender and specifically what careers females have been conditioned to pursue. We know this is a social construction in some school social systems because in other parts of the world, or even the United States, there are schools that have more females enrolled in upper level science courses than male students. Therefore, the educators conducting the research have to recognize the socially constructed reality of their school and consider this reality throughout the research process. Action researchers will use methods of data collection that support their ontological stance and clarify their theoretical stance throughout the research process.

Koshy (2010, p. 23-24) offers another example of addressing the ontological challenges in the classroom:

A teacher who was concerned with increasing her pupils’ motivation and enthusiasm for learning decided to introduce learning diaries which the children could take home. They were invited to record their reactions to the day’s lessons and what they had learnt. The teacher reported in her field diary that the learning diaries stimulated the children’s interest in her lessons, increased their capacity to learn, and generally improved their level of participation in lessons. The challenge for the teacher here is in the analysis and interpretation of the multiplicity of factors accompanying the use of diaries. The diaries were taken home so the entries may have been influenced by discussions with parents. Another possibility is that children felt the need to please their teacher. Another possible influence was that their increased motivation was as a result of the difference in style of teaching which included more discussions in the classroom based on the entries in the dairies.

Here you can see the challenge for the action researcher is working in a social context with multiple factors, values, and experiences that were outside of the teacher’s control. The teacher was only responsible for introducing the diaries as a new style of learning. The students’ engagement and interactions with this new style of learning were all based upon their socially constructed notions of learning inside and outside of the classroom. A researcher with a positivist ontological stance would not consider these factors, and instead might simply conclude that the dairies increased motivation and interest in the topic, as a result of introducing the diaries as a learning strategy.

Epistemology, or the theory of knowledge, signifies a philosophical view of what counts as knowledge – it justifies what is possible to be known and what criteria distinguishes knowledge from beliefs (Blaikie, 1993). Positivist researchers, for example, consider knowledge to be certain and discovered through scientific processes. Action researchers collect data that is more subjective and examine personal experience, insights, and beliefs.

Action researchers utilize interpretation as a means for knowledge creation. Action researchers have many epistemologies to choose from as means of situating the types of knowledge they will generate by interpreting the data from their research. For example, Koro-Ljungberg et al., (2009) identified several common epistemologies in their article that examined epistemological awareness in qualitative educational research, such as: objectivism, subjectivism, constructionism, contextualism, social epistemology, feminist epistemology, idealism, naturalized epistemology, externalism, relativism, skepticism, and pluralism. All of these epistemological stances have implications for the research process, especially data collection and analysis. Please see the table on pages 689-90, linked below for a sketch of these potential implications:

Again, Koshy (2010, p. 24) provides an excellent example to illustrate the epistemological challenges within action research:

A teacher of 11-year-old children decided to carry out an action research project which involved a change in style in teaching mathematics. Instead of giving children mathematical tasks displaying the subject as abstract principles, she made links with other subjects which she believed would encourage children to see mathematics as a discipline that could improve their understanding of the environment and historic events. At the conclusion of the project, the teacher reported that applicable mathematics generated greater enthusiasm and understanding of the subject.

The educator/researcher engaged in action research-based inquiry to improve an aspect of her pedagogy. She generated knowledge that indicated she had improved her students’ understanding of mathematics by integrating it with other subjects – specifically in the social and ecological context of her classroom, school, and community. She valued constructivism and students generating their own understanding of mathematics based on related topics in other subjects. Action researchers working in a social context do not generate certain knowledge, but knowledge that emerges and can be observed and researched again, building upon their knowledge each time.

Researcher Positionality in Action Research

In this first chapter, we have discussed a lot about the role of experiences in sparking the research process in the classroom. Your experiences as an educator will shape how you approach action research in your classroom. Your experiences as a person in general will also shape how you create knowledge from your research process. In particular, your experiences will shape how you make meaning from your findings. It is important to be clear about your experiences when developing your methodology too. This is referred to as researcher positionality. Maher and Tetreault (1993, p. 118) define positionality as:

Gender, race, class, and other aspects of our identities are markers of relational positions rather than essential qualities. Knowledge is valid when it includes an acknowledgment of the knower’s specific position in any context, because changing contextual and relational factors are crucial for defining identities and our knowledge in any given situation.

By presenting your positionality in the research process, you are signifying the type of socially constructed, and other types of, knowledge you will be using to make sense of the data. As Maher and Tetreault explain, this increases the trustworthiness of your conclusions about the data. This would not be possible with a positivist ontology. We will discuss positionality more in chapter 6, but we wanted to connect it to the overall theoretical underpinnings of action research.

Advantages of Engaging in Action Research in the Classroom

In the following chapters, we will discuss how action research takes shape in your classroom, and we wanted to briefly summarize the key advantages to action research methodology over other types of research methodology. As Koshy (2010, p. 25) notes, action research provides useful methodology for school and classroom research because:

Advantages of Action Research for the Classroom

• research can be set within a specific context or situation;
• researchers can be participants – they don’t have to be distant and detached from the situation;
• it involves continuous evaluation and modifications can be made easily as the project progresses;
• there are opportunities for theory to emerge from the research rather than always follow a previously formulated theory;
• the study can lead to open-ended outcomes;
• through action research, a researcher can bring a story to life.

Action Research Copyright © by J. Spencer Clark; Suzanne Porath; Julie Thiele; and Morgan Jobe is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

Share This Book

Action Research: Steps, Benefits, and Tips

Introduction

History of action research, what is the definition of action research, types of action research, conducting action research.

Action research is an approach to qualitative inquiry in social science research that involves the search for practical solutions to everyday issues. Rooted in real-world problems, it seeks not just to understand but also to act, bringing about positive change in specific contexts. Often distinguished by its collaborative nature, the action research process goes beyond traditional research paradigms by emphasizing the involvement of those being studied in resolving social conflicts and effecting positive change.

The value of action research lies not just in its outcomes, but also in the process itself, where stakeholders become active participants rather than mere subjects. In this article, we'll examine action research in depth, shedding light on its history, principles, and types of action research.

Tracing its roots back to the mid-20th century, Kurt Lewin developed classical action research as a response to traditional research methods in the social sciences that often sidelined the very communities they studied. Proponents of action research championed the idea that research should not just be an observational exercise but an actionable one that involves devising practical solutions. Advocates believed in the idea of research leading to immediate social action, emphasizing the importance of involving the community in the process.

Applications for action research

Over the years, action research has evolved and diversified. From its early applications in social psychology and organizational development, it has branched out into various fields such as education, healthcare, and community development, informing questions around improving schools, minority problems, and more. This growth wasn't just in application, but also in its methodologies.

How is action research different?

Like all research methodologies, effective action research generates knowledge. However, action research stands apart in its commitment to instigate tangible change. Traditional research often places emphasis on passive observation , employing data collection methods primarily to contribute to broader theoretical frameworks . In contrast, action research is inherently proactive, intertwining the acts of observing and acting.

The primary goal isn't just to understand a problem but to solve or alleviate it. Action researchers partner closely with communities, ensuring that the research process directly benefits those involved. This collaboration often leads to immediate interventions, tweaks, or solutions applied in real-time, marking a departure from other forms of research that might wait until the end of a study to make recommendations.

This proactive, change-driven nature makes action research particularly impactful in settings where immediate change is not just beneficial but essential.

Action research is best understood as a systematic approach to cooperative inquiry. Unlike traditional research methodologies that might primarily focus on generating knowledge, action research emphasizes producing actionable solutions for pressing real-world challenges.

This form of research undertakes a cyclic and reflective journey, typically cycling through stages of planning , acting, observing, and reflecting. A defining characteristic of action research is the collaborative spirit it embodies, often dissolving the rigid distinction between the researcher and the researched, leading to mutual learning and shared outcomes.

Advantages of action research

One of the foremost benefits of action research is the immediacy of its application. Since the research is embedded within real-world issues, any findings or solutions derived can often be integrated straightaway, catalyzing prompt improvements within the concerned community or organization. This immediacy is coupled with the empowering nature of the methodology. Participants aren't mere subjects; they actively shape the research process, giving them a tangible sense of ownership over both the research journey and its eventual outcomes.

Moreover, the inherent adaptability of action research allows researchers to tweak their approaches responsively based on live feedback. This ensures the research remains rooted in the evolving context, capturing the nuances of the situation and making any necessary adjustments. Lastly, this form of research tends to offer a comprehensive understanding of the issue at hand, harmonizing socially constructed theoretical knowledge with hands-on insights, leading to a richer, more textured understanding.

Disadvantages of action research

Like any methodology, action research isn't devoid of challenges. Its iterative nature, while beneficial, can extend timelines. Researchers might find themselves engaged in multiple cycles of observation, reflection, and action before arriving at a satisfactory conclusion. The intimate involvement of the researcher with the research participants , although crucial for collaboration, opens doors to potential conflicts. Through collaborative problem solving, disagreements can lead to richer and more nuanced solutions, but it can take considerable time and effort.

Another limitation stems from its focus on a specific context: results derived from a particular action research project might not always resonate or be applicable in a different context or with a different group. Lastly, the depth of collaboration this methodology demands means all stakeholders need to be deeply invested, and such a level of commitment might not always be feasible.

Examples of action research

To illustrate, let's consider a few scenarios. Imagine a classroom where a teacher observes dwindling student participation. Instead of sticking to conventional methods, the teacher experiments with introducing group-based activities. As the outcomes unfold, the teacher continually refines the approach based on student feedback, eventually leading to a teaching strategy that rejuvenates student engagement.

In a healthcare context, hospital staff who recognize growing patient anxiety related to certain procedures might innovate by introducing a new patient-informing protocol. As they study the effects of this change, they could, through iterations, sculpt a procedure that diminishes patient anxiety.

Similarly, in the realm of community development, a community grappling with the absence of child-friendly public spaces might collaborate with local authorities to conceptualize a park. As they monitor its utilization and societal impact, continual feedback could refine the park's infrastructure and design.

Contemporary action research, while grounded in the core principles of collaboration, reflection, and change, has seen various adaptations tailored to the specific needs of different contexts and fields. These adaptations have led to the emergence of distinct types of action research, each with its unique emphasis and approach.

Collaborative action research

Collaborative action research emphasizes the joint efforts of professionals, often from the same field, working together to address common concerns or challenges. In this approach, there's a strong emphasis on shared responsibility, mutual respect, and co-learning. For example, a group of classroom teachers might collaboratively investigate methods to improve student literacy, pooling their expertise and resources to devise, implement, and refine strategies for improving teaching.

Participatory action research

Participatory action research (PAR) goes a step further in dissolving the barriers between the researcher and the researched. It actively involves community members or stakeholders not just as participants, but as equal partners in the entire research process. PAR is deeply democratic and seeks to empower participants, fostering a sense of agency and ownership. For instance, a participatory research project might involve local residents in studying and addressing community health concerns, ensuring that the research process and outcomes are both informed by and beneficial to the community itself.

Educational action research

Educational action research is tailored specifically to practical educational contexts. Here, educators take on the dual role of teacher and researcher, seeking to improve teaching practices, curricula, classroom dynamics, or educational evaluation. This type of research is cyclical, with educators implementing changes, observing outcomes, and reflecting on results to continually enhance the educational experience. An example might be a teacher studying the impact of technology integration in her classroom, adjusting strategies based on student feedback and learning outcomes.

Community-based action research

Another noteworthy type is community-based action research, which focuses primarily on community development and well-being. Rooted in the principles of social justice, this approach emphasizes the collective power of community members to identify, study, and address their challenges. It's particularly powerful in grassroots movements and local development projects where community insights and collaboration drive meaningful, sustainable change.

Key insights and critical reflection through research with ATLAS.ti

Organize all your data analysis and insights with our powerful interface. Download a free trial today.

Engaging in action research is both an enlightening and transformative journey, rooted in practicality yet deeply connected to theory. For those embarking on this path, understanding the essentials of an action research study and the significance of a research cycle is paramount.

Understanding the action research cycle

At the heart of action research is its cycle, a structured yet adaptable framework guiding the research. This cycle embodies the iterative nature of action research, emphasizing that learning and change evolve through repetition and reflection.

The typical stages include:

• Identifying a problem : This is the starting point where the action researcher pinpoints a pressing issue or challenge that demands attention.
• Planning : Here, the researcher devises an action research strategy aimed at addressing the identified problem. In action research, network resources, participant consultation, and the literature review are core components in planning.
• Action : The planned strategies are then implemented in this stage. This 'action' phase is where theoretical knowledge meets practical application.
• Observation : Post-implementation, the researcher observes the outcomes and effects of the action. This stage ensures that the research remains grounded in the real-world context.
• Critical reflection : This part of the cycle involves analyzing the observed results to draw conclusions about their effectiveness and identify areas for improvement.
• Revision : Based on the insights from reflection, the initial plan is revised, marking the beginning of another cycle.

Rigorous research and iteration

It's essential to understand that while action research is deeply practical, it doesn't sacrifice rigor . The cyclical process ensures that the research remains thorough and robust. Each iteration of the cycle in an action research project refines the approach, drawing it closer to an effective solution.

The role of the action researcher

The action researcher stands at the nexus of theory and practice. Not just an observer, the researcher actively engages with the study's participants, collaboratively navigating through the research cycle by conducting interviews, participant observations, and member checking . This close involvement ensures that the study remains relevant, timely, and responsive.

Drawing conclusions and informing theory

As the research progresses through multiple iterations of data collection and data analysis , drawing conclusions becomes an integral aspect. These conclusions, while immediately beneficial in addressing the practical issue at hand, also serve a broader purpose. They inform theory, enriching the academic discourse and providing valuable insights for future research.

Identifying actionable insights

Keep in mind that action research should facilitate implications for professional practice as well as space for systematic inquiry. As you draw conclusions about the knowledge generated from action research, consider how this knowledge can create new forms of solutions to the pressing concern you set out to address.

Collecting data and analyzing data starts with ATLAS.ti

Download a free trial of our intuitive software to make the most of your research.

Action Research

• Reference work entry
• First Online: 01 January 2023
• Cite this reference work entry

• David Coghlan 2  

575 Accesses

Action research is an approach to research which aims at both taking action and creating knowledge or theory about that action as the action unfolds. It starts with everyday experience and is concerned with the development of living knowledge. Its characteristics are that it generates practical knowledge in the pursuit of worthwhile purposes; it is participative and democratic as its participants work together in the present tense in defining the questions they wish to explore, the methodology for that exploration, and its application through cycles of action and reflection. In this vein they are agents of change and coresearchers in knowledge generation and not merely passive subjects as in traditional research. In this vein, action research can be understood as a social science of the possible as the collective action is focused on creating a desired future in whatever context the action research is located.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save.

• Get 10 units per month
• Download Article/Chapter or eBook
• 1 Unit = 1 Article or 1 Chapter
• Cancel anytime
• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Durable hardcover edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Action Research As an Ethics Praxis Method

Banks, S., & Brydon-Miller, M. (2018). Ethics in participatory research for health and social well-being . Abingdon: Routledge.

Book   Google Scholar  

Bradbury, H. (2015). The Sage handbook of action research (3rd ed.). Sage: London.

Bradbury, H., Mirvis, P., Neilsen, E., & Pasmore, W. (2008). Action research at work: Creating the future following the path from Lewin. In P. Reason & H. Bradbury (Eds.), The Sage handbook of action research (2nd ed., pp. 77–92). London: Sage.

Chapter   Google Scholar  

Bradbury, H., Roth, J., & Gearty, M. (2015). The practice of learning history: Local and open approaches. In H. Bradbury (Ed.), The Sage handbook of action research (3rd ed., pp. 17–30). London: Sage.

Brydon-Miller, M., Greenwood, D., & Maguire, P. (2003). Why action research? Action Research, 1 (1), 9–28.034201[1476–7503(200307)1:1].

Article   Google Scholar  

Chevalier, J. M., & Buckles, D. J. (2019). Participatory action research. Theory and methods for engaged inquiry (2nd ed.). Abingdon: Routledge.

Coghlan, D. (2010). Seeking common ground in the diversity and diffusion of action research and collaborative management research action modalities: Toward a general empirical method. In W.A. Pasmore, A.B.. (Rami) Shani and R.W. Woodman (Eds.), Research in organizational change and development (vol 18, pp. 149–181). Bingley: Emerald.

Google Scholar  

Coghlan, D. (2016). Retrieving the philosophy of practical knowing for action research. International Journal of Action Research, 12 , 84–107. https://doi.org/10.1688/IJAR-2016-01 .

Coghlan, D. (2019). Doing action research in your own organization (5th ed.). London: Sage.

Coghlan, D., & Brydon-Miller, M. (2014). The Sage encyclopedia of action research . London: Sage.

Coghlan, D., & Shani, A.B.. (Rami). (2017). Inquiring in the present tense: The dynamic mechanism of action research. Journal of Change Management , 17, 121–137. https://doi.org/10.1080/14697017.2017.1301045 .

Coghlan, D., Shani, A.B.. (Rami), & Hay, G.W. (2019). Toward a social science philosophy of organization development and change. In D.A. Noumair & A.B.. (Rami) Shani (eds.). Research in organizational change and development (Vol. 27, pp. 1–29). Bingley: Emerald.

Gearty, M., & Coghlan, D. (2018). The first-, second- and third-person dynamics of learning history. Systemic Practice & Action Research., 31 , 463–478. https://doi.org/10.1007/s11213-017-9436-5 .

Greenwood, D., & Levin, M. (2007). Introduction to action research (2nd ed.). Thousand Oaks: Sage.

Heron, J., & Reason, P. (1997). A participatory inquiry paradigm. Qualitative Inquiry, 3 , 274–294.

Heron, J., & Reason, P. (2008). Extending epistemology within a cooperative inquiry. In P. Reason & H. Bradbury (Eds.), The Sage handbook of action research (2nd ed., pp. 366–380). London: Sage.

Huxham, C. (2003). Actionresearch as a methodology for theory development. Policy and Politics, 31 (2), 239–248. https://doi.org/10.1332/030557303765371726 .

Koshy, E., Koshy, V., & Waterman, H. (2011). Action research in healthcare . London: Sage.

Lonergan, B. J. (2005). Dimensions of meaning. In B. J. Lonergan (Ed.), The collected work of Bernard Lonergan (Vol. 4, pp. 232–244). Toronto: Toronto University Press.

Marshall, J. (2016). First person action research: Living life as inquiry . London: Sage.

Owen, R., Bessant, J., & Heintz, M. (2013). Responsible innovation: Managing the responsible emergence of science and innovation in society . London: Wiley.

Pasmore, W. A. (2001). Action research in the workplace: The socio-technical perspective. In P. Reason & H. Bradbury (Eds.), The handbook of action research (pp. 38–47). London: Sage.

Revans, R. W. (1971). Developing effective managers . London: Longmans.

Revans, R. (1998). ABC of action learning . London: Lemos& Crane.

Schein, E. H. (2013). Humble inquiry: The gentle art of asking instead of telling . Oakland: Berrett-Kohler.

Shani, A.B.. (Rami), & Coghlan, D. (2019). Action research in business and management: A reflective review. Action Research . https://doi.org/10.1177/1476750319852147 .

Susman, G. I., & Evered, R. D. (1978). An assessment of the scientific merits of action research. Administrative Science Quarterly, 23 , 582–601. https://doi.org/10.2307/2392581 .

Torbert, W. R., & Associates. (2004). Action inquiry . San Francisco: Jossey-Bass.

Whitney, D., & Trosten-Bloom, A. (2010). The power of appreciative inquiry: A practical guide to positive change . Oakland: Berrett-Kohler.

Williamson, G., & Bellman, L. (2012). Action research in nursing and healthcare . London: Sage.

Download references

Author information

Authors and affiliations.

Trinity Business School, University of Dublin Trinity College, Dublin, Ireland

David Coghlan

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to David Coghlan .

Editor information

Editors and affiliations.

Dublin City University, Dublin, Ireland

Vlad Petre Glăveanu

Section Editor information

Webster University Geneva, Geneva, Switzerland

Richard Randell

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this entry

Cite this entry.

Coghlan, D. (2022). Action Research. In: Glăveanu, V.P. (eds) The Palgrave Encyclopedia of the Possible. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-90913-0_180

Download citation

DOI : https://doi.org/10.1007/978-3-030-90913-0_180

Published : 26 January 2023

Publisher Name : Palgrave Macmillan, Cham

Print ISBN : 978-3-030-90912-3

Online ISBN : 978-3-030-90913-0

eBook Packages : Behavioral Science and Psychology Reference Module Humanities and Social Sciences Reference Module Business, Economics and Social Sciences

Share this entry

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

• Section 2: Home
• Developing the Quantitative Research Design
• Qualitative Descriptive Design
• Design and Development Research (DDR) For Instructional Design
• Qualitative Narrative Inquiry Research
• Action Research Resource

What is Action Research?

Considerations, creating a plan of action.

• Case Study Design in an Applied Doctorate
• SAGE Research Methods
• Research Examples (SAGE) This link opens in a new window
• Dataset Examples (SAGE) This link opens in a new window
• IRB Resource Center This link opens in a new window

Action research is a qualitative method that focuses on solving problems in social systems, such as schools and other organizations. The emphasis is on solving the presenting problem by generating knowledge and taking action within the social system in which the problem is located. The goal is to generate shared knowledge of how to address the problem by bridging the theory-practice gap (Bourner & Brook, 2019). A general definition of action research is the following: “Action research brings together action and reflection, as well as theory and practice, in participation with others, in the pursuit of practical solutions to issues of pressing concern” (Bradbury, 2015, p. 1). Johnson (2019) defines action research in the field of education as “the process of studying a school, classroom, or teacher-learning situation with the purpose of understanding and improving the quality of actions or instruction” (p.255).

Origins of Action Research

Kurt Lewin is typically credited with being the primary developer of Action Research in the 1940s. Lewin stated that action research can “transform…unrelated individuals, frequently opposed in their outlook and their interests, into cooperative teams, not on the basis of sweetness but on the basis of readiness to face difficulties realistically, to apply honest fact-finding, and to work together to overcome them” (1946, p.211).

Sample Action Research Topics

Some sample action research topics might be the following:

• Examining how classroom teachers perceive and implement new strategies in the classroom--How is the strategy being used? How do students respond to the strategy? How does the strategy inform and change classroom practices? Does the new skill improve test scores? Do classroom teachers perceive the strategy as effective for student learning?
• Examining how students are learning a particular content or objectives--What seems to be effective in enhancing student learning? What skills need to be reinforced? How do students respond to the new content? What is the ability of students to understand the new content?
• Examining how education stakeholders (administrator, parents, teachers, students, etc.) make decisions as members of the school’s improvement team--How are different stakeholders encouraged to participate? How is power distributed? How is equity demonstrated? How is each voice valued? How are priorities and initiatives determined? How does the team evaluate its processes to determine effectiveness?
• Examining the actions that school staff take to create an inclusive and welcoming school climate--Who makes and implements the actions taken to create the school climate? Do members of the school community (teachers, staff, students) view the school climate as inclusive? Do members of the school community feel welcome in the school? How are members of the school community encouraged to become involved in school activities? What actions can school staff take to help others feel a part of the school community?
• Examining the perceptions of teachers with regard to the learning strategies that are more effective with special populations, such as special education students, English Language Learners, etc.—What strategies are perceived to be more effective? How do teachers plan instructionally for unique learners such as special education students or English Language Learners? How do teachers deal with the challenges presented by unique learners such as special education students or English Language Learners? What supports do teachers need (e.g., professional development, training, coaching) to more effectively deliver instruction to unique learners such as special education students or English Language Learners?

Remember—The goal of action research is to find out how individuals perceive and act in a situation so the researcher can develop a plan of action to improve the educational organization. While these topics listed here can be explored using other research designs, action research is the design to use if the outcome is to develop a plan of action for addressing and improving upon a situation in the educational organization.

Considerations for Determining Whether to Use Action Research in an Applied Dissertation

• When considering action research, first determine the problem and the change that needs to occur as a result of addressing the problem (i.e., research problem and research purpose). Remember, the goal of action research is to change how individuals address a particular problem or situation in a way that results in improved practices.
• If the study will be conducted at a school site or educational organization, you may need site permission. Determine whether site permission will be given to conduct the study.
• Consider the individuals who will be part of the data collection (e.g., teachers, administrators, parents, other school staff, etc.). Will there be a representative sample willing to participate in the research?
• If students will be part of the study, does parent consent and student assent need to be obtained?
• As you develop your data collection plan, also consider the timeline for data collection. Is it feasible? For example, if you will be collecting data in a school, consider winter and summer breaks, school events, testing schedules, etc.
• As you develop your data collection plan, consult with your dissertation chair, Subject Matter Expert, NU Academic Success Center, and the NU IRB for resources and guidance.
• Action research is not an experimental design, so you are not trying to accept or reject a hypothesis. There are no independent or dependent variables. It is not generalizable to a larger setting. The goal is to understand what is occurring in the educational setting so that a plan of action can be developed for improved practices.

Considerations for Action Research

Below are some things to consider when developing your applied dissertation proposal using Action Research (adapted from Johnson, 2019):

• Research Topic and Research Problem -- Decide the topic to be studied and then identify the problem by defining the issue in the learning environment. Use references from current peer-reviewed literature for support.
• Purpose of the Study —What need to be different or improved as a result of the study?
• Research Questions —The questions developed should focus on “how” or “what” and explore individuals’ experiences, beliefs, and perceptions.
• Theoretical Framework -- What are the existing theories (theoretical framework) or concepts (conceptual framework) that can be used to support the research. How does existing theory link to what is happening in the educational environment with regard to the topic? What theories have been used to support similar topics in previous research?
• Literature Review -- Examine the literature, focusing on peer-reviewed studies published in journal within the last five years, with the exception of seminal works. What about the topic has already been explored and examined? What were the findings, implications, and limitations of previous research? What is missing from the literature on the topic?  How will your proposed research address the gap in the literature?
• Data Collection —Who will be part of the sample for data collection? What data will be collected from the individuals in the study (e.g., semi-structured interviews, surveys, etc.)? What are the educational artifacts and documents that need to be collected (e.g., teacher less plans, student portfolios, student grades, etc.)? How will they be collected and during what timeframe? (Note--A list of sample data collection methods appears under the heading of “Sample Instrumentation.”)
• Data Analysis —Determine how the data will be analyzed. Some types of analyses that are frequently used for action research include thematic analysis and content analysis.
• Implications —What conclusions can be drawn based upon the findings? How do the findings relate to the existing literature and inform theory in the field of education?
• Recommendations for Practice--Create a Plan of Action— This is a critical step in action research. A plan of action is created based upon the data analysis, findings, and implications. In the Applied Dissertation, this Plan of Action is included with the Recommendations for Practice. The includes specific steps that individuals should take to change practices; recommendations for how those changes will occur (e.g., professional development, training, school improvement planning, committees to develop guidelines and policies, curriculum review committee, etc.); and methods to evaluate the plan’s effectiveness.
• Recommendations for Research —What should future research focus on? What type of studies need to be conducted to build upon or further explore your findings.
• Professional Presentation or Defense —This is where the findings will be presented in a professional presentation or defense as the culmination of your research.

Adapted from Johnson (2019).

Considerations for Sampling and Data Collection

Below are some tips for sampling, sample size, data collection, and instrumentation for Action Research:

Sampling and Sample Size

Action research uses non-probability sampling. This is most commonly means a purposive sampling method that includes specific inclusion and exclusion criteria. However, convenience sampling can also be used (e.g., a teacher’s classroom).

Critical Concepts in Data Collection

Triangulation- - Dosemagen and Schwalbach (2019) discussed the importance of triangulation in Action Research which enhances the trustworthiness by providing multiple sources of data to analyze and confirm evidence for findings.

Trustworthiness —Trustworthiness assures that research findings are fulfill four critical elements—credibility, dependability, transferability, and confirmability. Reflect on the following: Are there multiple sources of data? How have you ensured credibility, dependability, transferability, and confirmability? Have the assumptions, limitations, and delimitations of the study been identified and explained? Was the sample a representative sample for the study? Did any individuals leave the study before it ended? How have you controlled researcher biases and beliefs? Are you drawing conclusions that are not supported by data? Have all possible themes been considered? Have you identified other studies with similar results?

Sample Instrumentation

Below are some of the possible methods for collecting action research data:

• Pre- and Post-Surveys for students and/or staff
• Staff Perception Surveys and Questionnaires
• Semi-Structured Interviews
• Focus Groups
• Observations
• Document analysis
• Student work samples
• Classroom artifacts, such as teacher lesson plans, rubrics, checklists, etc.
• Attendance records
• Discipline data
• Journals from students and/or staff
• Portfolios from students and/or staff

A benefit of Action Research is its potential to influence educational practice. Many educators are, by nature of the profession, reflective, inquisitive, and action-oriented. The ultimate outcome of Action Research is to create a plan of action using the research findings to inform future educational practice. A Plan of Action is not meant to be a one-size fits all plan. Instead, it is mean to include specific data-driven and research-based recommendations that result from a detailed analysis of the data, the study findings, and implications of the Action Research study. An effective Plan of Action includes an evaluation component and opportunities for professional educator reflection that allows for authentic discussion aimed at continuous improvement.

When developing a Plan of Action, the following should be considered:

• How can this situation be approached differently in the future?
• What should change in terms of practice?
• What are the specific steps that individuals should take to change practices?
• What is needed to implement the changes being recommended (professional development, training, materials, resources, planning committees, school improvement planning, etc.)?
• How will the effectiveness of the implemented changes be evaluated?
• How will opportunities for professional educator reflection be built into the Action Plan?

Sample Action Research Studies

Anderson, A. J. (2020). A qualitative systematic review of youth participatory action research implementation in U.S. high schools. A merican Journal of Community Psychology, 65 (1/2), 242–257. https://onlinelibrary-wiley-com.proxy1.ncu.edu/doi/epdf/10.1002/ajcp.12389

Ayvaz, Ü., & Durmuş, S.(2021). Fostering mathematical creativity with problem posing activities: An action research with gifted students. Thinking Skills and Creativity, 40. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=S1871187121000614&site=eds-live

Bellino, M. J. (2018). Closing information gaps in Kakuma Refugee Camp: A youth participatory action research study. American Journal of Community Psychology, 62 (3/4), 492–507. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ofs&AN=133626988&site=eds-live

Beneyto, M., Castillo, J., Collet-Sabé, J., & Tort, A. (2019). Can schools become an inclusive space shared by all families? Learnings and debates from an action research project in Catalonia. Educational Action Research, 27 (2), 210–226. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=135671904&site=eds-live

Bilican, K., Senler, B., & Karısan, D. (2021). Fostering teacher educators’ professional development through collaborative action research. International Journal of Progressive Education, 17 (2), 459–472. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=149828364&site=eds-live

Black, G. L. (2021). Implementing action research in a teacher preparation program: Opportunities and limitations. Canadian Journal of Action Research, 21 (2), 47–71. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=149682611&site=eds-live

Bozkuş, K., & Bayrak, C. (2019). The Application of the dynamic teacher professional development through experimental action research. International Electronic Journal of Elementary Education, 11 (4), 335–352. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=135580911&site=eds-live

Christ, T. W. (2018). Mixed methods action research in special education: An overview of a grant-funded model demonstration project. Research in the Schools, 25( 2), 77–88. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=135047248&site=eds-live

Jakhelln, R., & Pörn, M. (2019). Challenges in supporting and assessing bachelor’s theses based on action research in initial teacher education. Educational Action Research, 27 (5), 726–741. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=140234116&site=eds-live

Klima Ronen, I. (2020). Action research as a methodology for professional development in leading an educational process. Studies in Educational Evaluation, 64 . https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselp&AN=S0191491X19302159&site=eds-live

Messiou, K. (2019). Collaborative action research: facilitating inclusion in schools. Educational Action Research, 27 (2), 197–209. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ehh&AN=135671898&site=eds-live

Mitchell, D. E. (2018). Say it loud: An action research project examining the afrivisual and africology, Looking for alternative African American community college teaching strategies. Journal of Pan African Studies, 12 (4), 364–487. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ofs&AN=133155045&site=eds-live

Pentón Herrera, L. J. (2018). Action research as a tool for professional development in the K-12 ELT classroom. TESL Canada Journal, 35 (2), 128–139. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ofs&AN=135033158&site=eds-live

Rodriguez, R., Macias, R. L., Perez-Garcia, R., Landeros, G., & Martinez, A. (2018). Action research at the intersection of structural and family violence in an immigrant Latino community: a youth-led study. Journal of Family Violence, 33 (8), 587–596. https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=132323375&site=eds-live

Vaughan, M., Boerum, C., & Whitehead, L. (2019). Action research in doctoral coursework: Perceptions of independent research experiences. International Journal for the Scholarship of Teaching and Learning, 13 . https://proxy1.ncu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edsdoj&AN=edsdoj.17aa0c2976c44a0991e69b2a7b4f321&site=eds-live

Sample Journals for Action Research

Educational Action Research

Canadian Journal of Action Research

Sample Resource Videos

Call-Cummings, M. (2017). Researching racism in schools using participatory action research [Video]. Sage Research Methods  http://proxy1.ncu.edu/login?URL=https://methods.sagepub.com/video/researching-racism-in-schools-using-participatory-action-research

Fine, M. (2016). Michelle Fine discusses community based participatory action research [Video]. Sage Knowledge. http://proxy1.ncu.edu/login?URL=https://sk-sagepub-com.proxy1.ncu.edu/video/michelle-fine-discusses-community-based-participatory-action-research

Getz, C., Yamamura, E., & Tillapaugh. (2017). Action Research in Education. [Video]. You Tube. https://www.youtube.com/watch?v=X2tso4klYu8

Bradbury, H. (Ed.). (2015). The handbook of action research (3rd edition). Sage.

Bradbury, H., Lewis, R. & Embury, D.C. (2019). Education action research: With and for the next generation. In C.A. Mertler (Ed.), The Wiley handbook of action research in education (1st edition). John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/reader.action?docID=5683581&ppg=205

Bourner, T., & Brook, C. (2019). Comparing and contrasting action research and action learning. In C.A. Mertler (Ed.), The Wiley handbook of action research in education (1st edition). John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/reader.action?docID=5683581&ppg=205

Bradbury, H. (2015). The Sage handbook of action research . Sage. https://www-doi-org.proxy1.ncu.edu/10.4135/9781473921290

Dosemagen, D.M. & Schwalback, E.M. (2019). Legitimacy of and value in action research. In C.A. Mertler (Ed.), The Wiley handbook of action research in education (1st edition). John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/reader.action?docID=5683581&ppg=205

Johnson, A. (2019). Action research for teacher professional development. In C.A. Mertler (Ed.), The Wiley handbook of action research in education (1st edition). John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/reader.action?docID=5683581&ppg=205

Lewin, K. (1946). Action research and minority problems. In G.W. Lewin (Ed.), Resolving social conflicts: Selected papers on group dynamics (compiled in 1948). Harper and Row.

Mertler, C. A. (Ed.). (2019). The Wiley handbook of action research in education. John Wiley and Sons. https://ebookcentral.proquest.com/lib/nu/detail.action?docID=5683581

• << Previous: Qualitative Narrative Inquiry Research
• Next: Case Study Design in an Applied Doctorate >>
• Last Updated: Jul 28, 2023 8:05 AM
• URL: https://resources.nu.edu/c.php?g=1013605

© Copyright 2024 National University. All Rights Reserved.

Privacy Policy | Consumer Information

• Reviews / Why join our community?
• For companies
• Frequently asked questions

Action Research

What is action research.

Action research is a methodology that emphasizes collaboration between researchers and participants to identify problems, develop solutions and implement changes. Designers plan, act, observe and reflect, and aim to drive positive change in a specific context. Action research prioritizes practical solutions and improvement of practice, unlike knowledge generation, which is the priority of traditional methods.  

© New Mexico State University, Fair Use

Why is Action Research Important in UX Design?

Action research stands out as a unique approach in user experience design (UX design), among other types of research methodologies and fields. It has a hands-on, practical focus, so UX designers and researchers who engage in it devise and execute research that not only gathers data but also leads to actionable insights and solid real-world solutions. 

The concept of action research dates back to the 1940s, with its roots in the work of social psychologist Kurt Lewin. Lewin emphasized the importance of action in understanding and improving human systems. The approach rapidly gained popularity across various fields, including education, healthcare, social work and community development.  

Kurt Lewin, the Founder of social psychology.

© Wikimedia Commons, Fair Use

In UX design, the incorporation of action research appeared with the rise of human-centered design principles. As UX design started to focus more on users' needs and experiences, the participatory and problem-solving nature of action research became increasingly significant. Action research bridges the gap between theory and practice in UX design. It enables designers to move beyond hypothetical assumptions and base their design decisions on concrete, real-world data. This not only enhances the effectiveness of the design but also boosts its credibility and acceptance among users—vital bonuses for product designers and service designers. 

At its core, action research is a systematic, participatory and collaborative approach to research . It emphasizes direct engagement with specific issues or problems and aims to bring about positive change within a particular context. Traditional research methodologies tend to focus solely on the generation of theoretical knowledge. Meanwhile, action research aims to solve real-world problems and generate knowledge simultaneously .  

Action research helps designers and design teams gather first-hand insights so they can deeply understand their users' needs, preferences and behaviors. With it, they can devise solutions that genuinely address their users’ problems—and so design products or services that will resonate with their target audiences. As designers actively involve users in the research process, they can gather authentic insights and co-create solutions that are both effective and user-centric.  

Moreover, the iterative nature of action research aligns perfectly with the UX design process. It allows designers to continuously learn from users' feedback, adapt their designs accordingly, and test their effectiveness in real-world contexts. This iterative loop of planning, acting, observing and reflecting ensures that the final design solution is user-centric. However, it also ensures that actual user behavior and feedback validates the solution that a design team produces, which helps to make action research studies particularly rewarding for some brands. 

Designers can continuously learn from users’ feedback in action research and iterate accordingly.

© Fauxels, Fair Use

What is The Action Research Process?

Action research in UX design involves several stages. Each stage contributes to the ultimate goal: to create effective and user-centric design solutions. Here is a step-by-step breakdown of the process:  

1. Identify the Problem

This could be a particular pain point users are facing, a gap in the current UX design, or an opportunity for improvement.  

2. Plan the Action

Designers might need to devise new design features, modify existing ones or implement new user interaction strategies.  

3. Implement the Action

Designers put their planned actions into practice. They might prototype the new design, implement the new features or test the new user interaction strategies.  

4. Observe and Collect Data

As designers implement the action they’ve decided upon, it's crucial to observe its effects and collect data. This could mean that designers track user behaviors, collect user feedback, conduct usability tests or use other data collection methods.  

5. Reflect on the Results

From the collected data, designers reflect on the results, analyze the effectiveness of the action and draw insights. If the action has led to positive outcomes, they can further refine it and integrate it into the final design. If not, they can go back to plan new actions and repeat the process.  

An action research example could be where designers do the following: 

Identification : Designers observe a high abandonment rate during a checkout process for an e-commerce website. 

Planning : They analyze the checkout flow to identify potential friction points.  

Action : They isolate these points, streamline the checkout process, introduce guest checkout and optimize form fields.  

Observation : They monitor changes in abandonment rates and collect user feedback.  

Reflection : They assess the effectiveness of the changes as these reduce checkout abandonment.  

Outcome : The design team notices a significant decrease in checkout abandonment, which leads to higher conversion rates as more users successfully purchase goods.  

What Types of Action Research are there?

Action research splits into three main types: technical, collaborative and critical reflection.  

1. Technical Action Research

Technical action research focuses on improving the efficiency and effectiveness of a system or process. Designers often use it in organizational contexts to address specific issues or enhance operations. This could be where designers improve the usability of a website, optimize the load time of an application or enhance the accessibility of a digital product.  

• Transcript loading…

2. Collaborative Action Research

Collaborative action research emphasizes the active participation of stakeholders in the research process. It's about working together to identify issues, co-create solutions and implement changes. In the context of UX design, this could mean that designers collaborate with users to co-design a new feature, work with developers to optimize a process, or partner with business stakeholders to align the UX strategy with business goals.  

3. Critical Reflection Action Research

Critical reflection action research aims to challenge dominant power structures and social injustices within a particular context. It emphasizes the importance of where designers and design teams reflect on the underlying assumptions and values that drive research and decision-making processes. In UX design, this could be where designers question the design biases, challenge the stereotypes, and promote inclusivity and diversity in design decisions.  

What are the Benefits and Challenges of Action Research?

Like any UX research method or approach, action research comes with its own set of benefits and challenges.  

Benefits of Action Research

Real-world solutions.

Action research focuses on solving real-world problems. This quality makes it highly relevant and practical. It allows UX designers to create solutions that are not just theoretically sound but also valid in real-world contexts.  

User Involvement

Action research involves users in the research process, which lets designers gather first-hand insights into users' needs, preferences and behaviors. This not only enhances the accuracy and reliability of the research but also fosters user engagement and ownership long before user testing of high-fidelity prototypes.  

Continuous Learning

The iterative nature of action research promotes continuous learning and improvement. It enables designers to adapt their designs based on users' feedback and learn from their successes and failures. They can fine-tune better tools and deliverables, such as more accurate user personas, from their findings.

Author and Human-Computer Interaction Expert, Professor Alan Dix explains personas and why they are important: 

Challenges of Action Research

Time- and resource-intensive.

Action research involves multiple iterations of planning, acting, observing and reflecting, which can be time- and resource-intensive. 

Complexity of Real-world Contexts

It can be difficult to implement changes and observe their effects in real-world contexts. This is due to the complexity and unpredictability of real-world situations.  

Risk of Subjectivity

Since action research involves close collaboration with stakeholders, there's a risk of subjectivity and bias influencing the research outcomes. It's crucial for designers to maintain objectivity and integrity throughout the research process. 

Ethical Considerations

It can be a challenge to ensure all participants understand the nature of the research and agree to participate willingly. Also, it’s vital to safeguard the privacy of participants and sensitive data.  

Scope Creep

The iterative nature of action research might lead to expanding goals, and make the project unwieldy.  

Generalizability

The contextual focus of action research may limit the extent to which designers can generalize findings from field studies to other settings.  

Best Practices and Tips for Successful Action Research

1. define clear objectives.

To begin, designers should define clear objectives. They should ask the following: 

What is the problem to try to solve? 

What change is desirable as an outcome?  

To have clear objectives will guide their research process and help them stay focused.  

2. Involve Users

It’s vital to involve users in the research process. Designers should collaborate with them to identify issues, co-create solutions and implement changes in real time. This will not only enhance the relevance of the research but also foster user engagement and ownership.  

3. Use a Variety of Data Collection Methods

To conduct action research means to observe the effects of changes in real-world contexts. This requires a variety of data collection methods. Designers should use methods like surveys, user interviews, observations and usability tests to gather diverse and comprehensive data. 

UX Strategist and Consultant, William Hudson explains the value of usability testing in this video: 

4. Reflect and Learn

Action research is all about learning from action. Designers should reflect on the outcomes of their actions, analyze the effectiveness of their solutions and draw insights. They can use these insights to inform their future actions and continuously improve the design.  

5. Communicate and Share Findings

Lastly, designers should communicate and share their findings with all stakeholders. This not only fosters transparency and trust but also facilitates collective learning and improvement.  

What are Other Considerations to Bear in Mind with Action Research?

Quantitative data.

Action research involves both qualitative and quantitative data, but it's important to remember to place emphasis on qualitative data. While quantitative data can provide useful insights, designers who rely too heavily on it may find a less holistic view of the user experience. 

Professor Alan Dix explains the difference between quantitative and qualitative data in this video: 

User Needs and Preferences

Designers should focus action research on understanding user needs and preferences. If they ignore these in favor of more technical considerations, the resulting design solutions may not meet users' expectations or provide them with a satisfactory experience.  

User Feedback

It's important to seek user feedback at each stage of the action research process. Without this feedback, designers may not optimize design solutions for user needs. For example, they may find the information architecture confusing. Additionally, without user feedback, it can be difficult to identify any unexpected problems that may arise during the research process.  

Time Allocation

Action research requires time and effort to ensure successful outcomes. If designers or design teams don’t permit enough time for the research process, it can lead to rushed decisions and sloppy results. It's crucial to plan ahead and set aside enough time for each stage of the action research process—and ensure that stakeholders understand the time-consuming nature of research and digesting research findings, and don’t push for premature results. 

Contextual Factors

Contextual factors such as culture, environment and demographics play an important role in UX design. If designers ignore these factors, it can lead to ineffective design solutions that don't properly address users' needs and preferences or consider their context.  

Professor Alan Dix explains the need to consider users’ culture in design, in this video: 

Copyright holder: Tommi Vainikainen _ Appearance time: 2:56 - 3:03 Copyright license and terms: Public domain, via Wikimedia Commons

Copyright holder: Maik Meid _ Appearance time: 2:56 - 3:03 Copyright license and terms: CC BY 2.0, via Wikimedia Commons _ Link: https://commons.wikimedia.org/wiki/File:Norge_93.jpg

Copyright holder: Paju _ Appearance time: 2:56 - 3:03 Copyright license and terms: CC BY-SA 3.0, via Wikimedia Commons _ Link: https://commons.wikimedia.org/wiki/File:Kaivokselan_kaivokset_kyltti.jpg

Copyright holder: Tiia Monto _ Appearance time: 2:56 - 3:03 Copyright license and terms: CC BY-SA 3.0, via Wikimedia Commons _ Link: https://commons.wikimedia.org/wiki/File:Turku_-_harbour_sign.jpg

Overall, in the ever-evolving field of UX design, this is one methodology that can serve as a powerful research tool for driving positive change and promoting continuous learning. Since to do action research means to actively involve users in the research process and research projects, and focus on real-world problem-solving, it allows designers to create more user-centered designs. These digital solutions and services will be more likely to resonate with the target users and deliver exceptional user experiences.  

Despite its challenges, the benefits of action research far outweigh the risks. Action research is therefore a valuable approach for UX designers who are keen on creating a wide range of impactful and sustainable design solutions. The biggest lesson with action research is to ensure that user needs and preferences are at the center of the research process. 

Learn More about Action Research  

Take our User Research: Methods and Best Practices course.  

Take our Master Class Radical Participatory Design: Insights From NASA’s Service Design Lead with Victor Udoewa, Service Design Lead, NASA SBIR/STTR Program. 

Read more in-depth information in 3 things design thinking can learn from action research by Amin Mojtahedi, PhD . 

Find additional insights in What Technical Communicators and UX Designers Can Learn From Participatory Action Research by Guiseppe . 

Discover more insights and tips in Action Research: Steps, Benefits, and Tips by Lauren Stewart .

Questions related to Action Research

Action research and design thinking are both methodologies to solve problems and implement changes, but they have different approaches and emphases. Here's how they differ:  

Objectives  

Action research aims to solve specific problems within a community or organization through a cycle of planning, action, observation and reflection. It focuses on iterative learning and solving real-world problems through direct intervention.  

Design thinking focuses on addressing complex problems by understanding the user's needs, re-framing the problem in human-centric ways, creating many ideas in brainstorming sessions, and adopting a hands-on approach in prototyping and testing. It emphasizes innovation and the creation of solutions that are desirable, feasible and viable.  

Process  

Action research involves a cyclic process that includes:  

- Identify a problem.  

- Plan an action.  

- Implement the action.  

- Observe and evaluate the outcomes.  

- Reflect on the findings and plan the next cycle. 

Design thinking follows a non-linear, iterative process that typically includes five phases:  

- Empathize: Understand the needs of those you're designing for.  

- Define: Clearly articulate the problem you want to solve.  

- Ideate: Brainstorm a range of creative solutions.  

- Prototype: Build a representation of one or more of your ideas.  

- Test: Return to your original user group and test your idea for feedback.  

User Involvement  

Action research actively involves participants in the research process. The participants are co-researchers and have a direct stake in the problem at hand.  

Design thinking prioritizes empathy with users and stakeholders to ensure that the solutions are truly user-centered. While users are involved, especially in the empathy and testing phases, they may not be as deeply engaged in the entire process as they are in action research.  

Outcome  

Action research typically aims for practical outcomes that directly improve practices or address issues within the specific context studied. Its success is measurable by the extent of problem resolution or improvement.  

Design thinking seeks to generate innovative solutions that may not only solve the identified problem but also provide a basis for new products, services or ways of thinking. The success is often measurable in terms of innovation, user satisfaction and feasibility of implementation.  

In summary, while both action research and design thinking are valuable in addressing problems, action research is more about participatory problem-solving within specific contexts, and design thinking is about innovative solution-finding with a strong emphasis on user needs. 

Take our Design Thinking: The Ultimate Guide course. 

To define the research question in an action research project, start by identifying a specific problem or area of interest in your practice or work setting. Reflect on this issue deeply to understand its nuances and implications. Then, narrow your focus to a question that is both actionable and researchable. This question should aim to explore ways to improve, change or understand the problem better. Ensure the question is clear, concise and aligned with the goals of your project. It must invite inquiry and suggest a path towards finding practical solutions or gaining deeper insights. 

For instance, if you notice a decline in user engagement with a product, your research question could be, "How can we modify the user interface of our product to enhance user engagement?" This question clearly targets an improvement, focuses on a specific aspect (the user interface) and implies actionable outcomes (modifications to enhance engagement). 

Take our Master Class Radical Participatory Design: Insights From NASA’s Service Design Lead with Victor Udoewa, Service Design Lead, NASA SBIR/STTR Program.  

Designers use several tools and methods in action research to explore problems and implement solutions. Surveys allow them to gather feedback from a broad audience quickly. Interviews offer deep insights through personal conversations, focusing on users' experiences and needs. Observations help designers understand how people interact with products or services in real environments. Prototyping enables the testing of ideas and concepts through tangible models, and allows for immediate feedback and iteration. Finally, case studies provide detailed analysis of specific instances and offer valuable lessons and insights. 

These tools and methods empower designers to collect data, analyze findings and make informed decisions. When designers employ a combination of these approaches, they ensure a comprehensive understanding of the issues at hand and develop effective solutions. 

CEO of Experience Dynamics, Frank Spillers explains the need to be clear about the problem that designers should address: 

To engage stakeholders in an action research project, first identify all individuals or groups with an interest in the project's outcome. These might include users, team members, clients or community representatives. Clearly communicate the goals, benefits and expected outcomes of the project to them. Use presentations, reports, or informal meetings to share your vision and how their involvement adds value. 

Involve stakeholders early and often by soliciting their feedback through surveys, interviews or workshops. This inclusion not only provides valuable insights but also fosters a sense of ownership and commitment to the project. Establish regular update meetings or newsletters to keep stakeholders informed about progress, challenges and successes. Finally, ensure there are clear channels for stakeholders to share their input and concerns throughout the project. 

This approach creates a collaborative environment where stakeholders feel valued and engaged, leading to more meaningful and impactful outcomes. 

To measure the impact of an action research project, start by defining clear, measurable objectives at the beginning. These objectives should align with the goals of your project and provide a baseline against which you can measure progress. Use quantitative metrics such as increased user engagement, sales growth or improved performance scores for a tangible assessment of impact. Incorporate qualitative data as well, such as user feedback and case studies, to understand the subjective experiences and insights gained through the project. 

Conduct surveys or interviews before and after the project to compare results and identify changes. Analyze this data to assess how well the project met its objectives and what effect it had on the target issue or audience. Document lessons learned and unexpected outcomes to provide a comprehensive view of the project's impact. This approach ensures a holistic evaluation, combining numerical data and personal insights to gauge the success and influence of your action research project effectively. 

Take our Master Class Design KPIs: From Insights to Impact with Vitaly Friedman, Senior UX consultant, European Parliament, and Creative Lead, Smashing Magazine. 

When unexpected results or obstacles emerge during action research, first, take a step back and assess the situation. Identify the nature of the unexpected outcome or obstacle and analyze its potential impact on your project. This step is crucial for understanding the issue at hand. 

Next, communicate with your team and stakeholders about the situation. Open communication ensures everyone understands the issue and can contribute to finding a solution. 

Then, consider adjusting your research plan or design strategy to accommodate the new findings or to overcome the obstacles. This might involve revisiting your research questions, methods or even the design problem you are addressing. 

Always document these changes and the reasons behind them. This documentation will be valuable for understanding the project's evolution and for future reference. 

Finally, view these challenges as learning opportunities. Unexpected results can lead to new insights and innovations that strengthen your project in the long run. 

By remaining flexible, communicating effectively, and being willing to adjust your approach, you can navigate the uncertainties of action research and continue making progress towards your goals. 

Professor Alan Dix explains externalization, a creative process that can help designers to adapt to unexpected roadblocks and find a good way forward: 

Action research can significantly contribute to inclusive and accessible design by directly involving users with diverse needs in the research and design process. When designers engage individuals from various backgrounds, abilities and experiences, they can gain a deeper understanding of the wide range of user requirements and preferences. This approach ensures that the products or services they develop cater to a broader audience, including those with disabilities. 

Furthermore, action research allows for iterative testing and feedback loops with users. This quality enables designers to identify and address accessibility challenges early in the design process. The continuous engagement helps in refining designs to be more user-friendly and inclusive. 

Additionally, action research fosters a culture of empathy and understanding within design teams, as it emphasizes the importance of seeing the world from the users' perspectives. This empathetic approach leads to more thoughtful and inclusive design decisions, ultimately resulting in products and services that are accessible to everyone. 

By prioritizing inclusivity and accessibility through action research, designers can create more equitable and accessible solutions that enhance the user experience for all. 

Take our Master Class How to Design for Neurodiversity: Inclusive Content and UX with Katrin Suetterlin, UX Content Strategist, Architect and Consultant. 

To ensure the reliability and validity of data in action research, follow these steps: 

Define clear research questions: Start with specific, clear research questions to guide your data collection. This clarity helps in gathering relevant and focused data. 

Use multiple data sources: Collect data from various sources to cross-verify information. This triangulation strengthens the reliability of your findings. 

Apply consistent methods: Use consistent data collection methods throughout your research. If conducting surveys or interviews, keep questions consistent across participants to ensure comparability. 

Engage in peer review: Have peers or experts review your research design and data analysis. Feedback can help identify biases or errors, and enhance the validity of your findings. 

Document the process: Keep detailed records of your research process, including how you collected and analyzed data. Documentation allows others to understand and validate your research methodology. 

Test and refine instruments: If you’re using surveys or assessment tools, test them for reliability and validity before using them extensively. Pilot testing helps refine these instruments, and ensures they accurately measure what they intend to. 

When you adhere to these principles, you can enhance the reliability and validity of your action research data, leading to more trustworthy and impactful outcomes. 

Take our Data-Driven Design: Quantitative Research for UX course.  

To analyze data collected during an action research project, follow these steps: 

Organize the data: Begin by organizing your data, categorizing information based on types, sources or research questions. This organization makes the data manageable and prepares you for in-depth analysis. 

Identify patterns and themes: Look for patterns, trends and themes within your data. This might mean to code qualitative data or use statistical tools for quantitative data to uncover recurring elements or significant findings. 

Compare findings to objectives: Match your findings against the research objectives. Assess how the data answers your research questions or addresses the issues you set out to explore. 

Use software tools: Consider using data analysis software, especially for complex or large data sets. Tools like NVivo for qualitative data or SPSS for quantitative data can simplify analysis and help in identifying insights. 

Draw conclusions: Based on your analysis, draw conclusions about what the data reveals. Look for insights that answer your research questions or offer solutions to the problem you are investigating. 

Reflect and act: Reflect on the implications of your findings. Consider how they impact your understanding of the research problem and what actions they suggest for improvement or further investigation. 

This approach to data analysis ensures a thorough understanding of the collected data, allowing you to draw meaningful conclusions and make informed decisions based on your action research project. 

Professor Ann Blandford, Professor of Human-Computer Interaction, UCL explains valuable aspects of data collection in this video: 

Baskerville, R. L., & Wood-Harper, A. T. (1996). A critical perspective on action research as a method for information systems research . Journal of Information Technology, 11(3), 235-246.   

This influential paper examines the philosophical underpinnings of action research and its application in information systems research, which is closely related to UX design. It highlights the strengths of action research in addressing complex, real-world problems, as well as the challenges in maintaining rigor and achieving generalizability. The paper helped establish action research as a valuable methodology in the information systems and UX design fields.  

Di Mascio, T., & Tarantino, L. (2015). New Design Techniques for New Users: An Action Research-Based Approach . In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (pp. 83-96). ACM. 

This paper describes an action research project that aimed to develop a novel data gathering technique for understanding the context of use of a technology-enhanced learning system for children. The authors argue that traditional laboratory experiments struggle to maintain relevance to the real world, and that action research, with its focus on solving practical problems, is better suited to addressing the needs of new ICT products and their users. The paper provides insights into the action research process and reflects on its value in defining new methods for solving complex, real-world problems. The work is influential in demonstrating the applicability of action research in the field of user experience design, particularly for designing for new and underserved user groups. 

Villari, B. (2014). Action research approach in design research . In Proceedings of the 5th STS Italia Conference A Matter of Design: Making Society through Science and Technology (pp. 306-316). STS Italia Publishing.  

This paper explores the application of action research in the field of design research. The author argues that design is a complex practice that requires interdisciplinary skills and the ability to engage with diverse communities. Action research is presented as a research strategy that can effectively merge theory and practice, linking the reflective dimension to practical activities. The key features of action research highlighted in the paper are its context-dependent nature, the close relationship between researchers and the communities involved, and the iterative process of examining one's own practice and using research insights to inform future actions. The paper is influential in demonstrating the value of action research in addressing the challenges of design research, particularly in terms of bridging the gap between theory and practice and fostering collaborative, user-centered approaches to design.  

Brandt, E. (2004). Action research in user-centred product development . AI & Society, 18(2), 113-133.  

This paper reports on the use of action research to introduce new user-centered work practices in two commercial product development projects. The author argues that the growing complexity of products and the increasing importance of quality, usability, and customization demand new collaborative approaches that involve customers and users directly in the development process. The paper highlights the value of using action research to support these new ways of working, particularly in terms of creating and reifying design insights in representations that can foster collaboration and continuity throughout the project. The work is influential in demonstrating the applicability of action research in the context of user-centered product development, where the need to bridge theory and practice and engage diverse stakeholders is paramount. The paper provides valuable insights into the practical challenges and benefits of adopting action research in this domain. 

1. Reason, P., & Bradbury, H. (Eds.). (2001). Handbook of action research: Participative inquiry and practice . SAGE Publications.  

This comprehensive handbook is considered a seminal work in the field of action research. It provides a thorough overview of the history, philosophical foundations, and diverse approaches to action research. The book features contributions from leading scholars and practitioners, covering topics such as participatory inquiry, critical action research, and the role of action research in organizational change and community development. It has been highly influential in establishing action research as a rigorous and impactful research methodology across various disciplines. 

 2. Stringer, E. T. (2013). Action Research (4th ed.) . SAGE Publications.  

This book by Ernest T. Stringer is a widely recognized and accessible guide to conducting action research. It provides clear, step-by-step instructions on the action research process, including gathering information, interpreting and explaining findings, and taking action to address practical problems. The book is particularly valuable for novice researchers and practitioners in fields such as education, social work, and community development, where action research is commonly applied. Its practical approach and real-life examples have made it a go-to resource for those seeking to engage in collaborative, solution-oriented research. 

3. McNiff, J. (2017). Action Research: All You Need to Know (1st ed.) . SAGE Publications.   

This book by Jean McNiff provides a comprehensive guide to conducting action research projects. It covers the key steps of the action research process, including identifying a problem, developing an action plan, implementing changes, and reflecting on the outcomes. The book is influential in the field of action research as it offers practical advice and strategies for practitioners across various disciplines, such as education, healthcare, and organizational development. It emphasizes the importance of critical reflection, collaboration, and the integration of theory and practice, making it a valuable resource for those seeking to engage in rigorous, transformative research. 

Answer a Short Quiz to Earn a Gift

What is a primary characteristic of action research in UX design?

• It drives practical changes through iterative cycles.
• It focuses solely on theoretical knowledge.
• It relies on external consultants to dictate changes.

Which type of action research improves system efficiency and effectiveness?

• Collaborative Action Research
• Critical Reflection Action Research
• Technical Action Research

What role do stakeholders play in collaborative action research?

• They participate actively in co-creating solutions.
• They provide financial support only.
• They review and approve final designs.

How do users in action research benefit the design process?

• They help make sure designs meet actual user needs and preferences.
• They help speed up the design process significantly.
• They limit the scope of design innovations.

What is the purpose of the reflection stage in the action research process?

• To document the research process for publication only
• To evaluate the effectiveness of actions and plan further improvements
• To finalize the product design without further changes

Better luck next time!

Do you want to improve your UX / UI Design skills? Join us now

Congratulations! You did amazing

You earned your gift with a perfect score! Let us send it to you.

Check Your Inbox

We’ve emailed your gift to [email protected] .

Literature on Action Research

Here’s the entire UX literature on Action Research by the Interaction Design Foundation, collated in one place:

Learn more about Action Research

Take a deep dive into Action Research with our course User Research – Methods and Best Practices .

How do you plan to design a product or service that your users will love , if you don't know what they want in the first place? As a user experience designer, you shouldn't leave it to chance to design something outstanding; you should make the effort to understand your users and build on that knowledge from the outset. User research is the way to do this, and it can therefore be thought of as the largest part of user experience design .

In fact, user research is often the first step of a UX design process—after all, you cannot begin to design a product or service without first understanding what your users want! As you gain the skills required, and learn about the best practices in user research, you’ll get first-hand knowledge of your users and be able to design the optimal product—one that’s truly relevant for your users and, subsequently, outperforms your competitors’ .

This course will give you insights into the most essential qualitative research methods around and will teach you how to put them into practice in your design work. You’ll also have the opportunity to embark on three practical projects where you can apply what you’ve learned to carry out user research in the real world . You’ll learn details about how to plan user research projects and fit them into your own work processes in a way that maximizes the impact your research can have on your designs. On top of that, you’ll gain practice with different methods that will help you analyze the results of your research and communicate your findings to your clients and stakeholders—workshops, user journeys and personas, just to name a few!

By the end of the course, you’ll have not only a Course Certificate but also three case studies to add to your portfolio. And remember, a portfolio with engaging case studies is invaluable if you are looking to break into a career in UX design or user research!

We believe you should learn from the best, so we’ve gathered a team of experts to help teach this course alongside our own course instructors. That means you’ll meet a new instructor in each of the lessons on research methods who is an expert in their field—we hope you enjoy what they have in store for you!

All open-source articles on Action Research

An Introduction to Action Research

• 8 years ago

Cognitive Maps in UX | IxDF

Open Access—Link to us!

We believe in Open Access and the  democratization of knowledge . Unfortunately, world-class educational materials such as this page are normally hidden behind paywalls or in expensive textbooks.

If you want this to change , cite this page , link to us, or join us to help us democratize design knowledge !

Privacy Settings

Our digital services use necessary tracking technologies, including third-party cookies, for security, functionality, and to uphold user rights. Optional cookies offer enhanced features, and analytics.

Experience the full potential of our site that remembers your preferences and supports secure sign-in.

Governs the storage of data necessary for maintaining website security, user authentication, and fraud prevention mechanisms.

Enhanced Functionality

Saves your settings and preferences, like your location, for a more personalized experience.

Referral Program

We use cookies to enable our referral program, giving you and your friends discounts.

Error Reporting

We share user ID with Bugsnag and NewRelic to help us track errors and fix issues.

Optimize your experience by allowing us to monitor site usage. You’ll enjoy a smoother, more personalized journey without compromising your privacy.

Analytics Storage

Collects anonymous data on how you navigate and interact, helping us make informed improvements.

Differentiates real visitors from automated bots, ensuring accurate usage data and improving your website experience.

Lets us tailor your digital ads to match your interests, making them more relevant and useful to you.

Advertising Storage

Stores information for better-targeted advertising, enhancing your online ad experience.

Personalization Storage

Permits storing data to personalize content and ads across Google services based on user behavior, enhancing overall user experience.

Advertising Personalization

Allows for content and ad personalization across Google services based on user behavior. This consent enhances user experiences.

Enables personalizing ads based on user data and interactions, allowing for more relevant advertising experiences across Google services.

Receive more relevant advertisements by sharing your interests and behavior with our trusted advertising partners.

Enables better ad targeting and measurement on Meta platforms, making ads you see more relevant.

Allows for improved ad effectiveness and measurement through Meta’s Conversions API, ensuring privacy-compliant data sharing.

LinkedIn Insights

Tracks conversions, retargeting, and web analytics for LinkedIn ad campaigns, enhancing ad relevance and performance.

LinkedIn CAPI

Enhances LinkedIn advertising through server-side event tracking, offering more accurate measurement and personalization.

Google Ads Tag

Tracks ad performance and user engagement, helping deliver ads that are most useful to you.

Share Knowledge, Get Respect!

or copy link

Cite according to academic standards

Simply copy and paste the text below into your bibliographic reference list, onto your blog, or anywhere else. You can also just hyperlink to this page.

New to UX Design? We’re Giving You a Free ebook!

Download our free ebook The Basics of User Experience Design to learn about core concepts of UX design.

In 9 chapters, we’ll cover: conducting user interviews, design thinking, interaction design, mobile UX design, usability, UX research, and many more!

Action Research

(0 reviews)

J. Spencer Clark, Kansas State University

Suzanne Porath, Kansas State University

Julie Thiele, Kansas State University

Morgan Jobe, Kansas State University

Copyright Year: 2020

Last Update: 2024

ISBN 13: 9781944548292

Publisher: New Prairie Press

Language: English

Formats Available

Conditions of use.

Table of Contents

• Introduction
• About the Authors
• What is Action Research for Classroom Teachers?
• Action Research as a Process for Professional Learning and Leadership
• Planning Your Research: Reviewing the Literature and Developing Questions
• Preparing for Action Research in the Classroom: Practical Issues
• Collecting Data in Your Classroom
• Analyzing Data from Your Classroom
• Let it Be Known! Sharing your Results
• The Action Research Process from a High School ELA Teacher’s Perspective

Ancillary Material

About the book.

Action research is a common journey for graduate students in education and other human science fields. This book attempts to meet the needs of graduate students, in-service teachers, and any other educators interested in action research and/or self-study. The chapters of this book draw on our collective experiences as educators in a variety of educational contexts, and our roles guiding educator/researchers in various settings. All of our experiences have enabled us to question and refine our own understanding of action research as a process and means for pedagogical improvement. The primary purpose of this book is to offer clear steps and practical guidance to those who intend to carry out action research for the first time. As educators begin their action research journey, we feel it is vital to pose four questions: 1) What is action research, and how is it distinct from other educational research?; 2) When is it appropriate for an educator to conduct an action research project in their context?; 3) How does an educator conduct an action research project?; 4) What does an educator do with the data once the action research project has been conducted? We have attempted to address all four questions in the chapters of this book.

About the Contributors

J. Spencer Clark is an Associate Professor of Curriculum Studies at Kansas State University. He has used action research methodology for the past 17 years, in K-12 schools and higher education. More recently, for the past 10 years he has taught action research methods to teachers in graduate and licensure degree programs. He also has led secondary student action research projects in Indiana, Utah, and Kansas. Clark also utilizes action research methodology in his own research. Much of his research has focused on understanding and developing teacher agency through clinical and professional learning experiences that utilize aspects of digital communication, inquiry, collaboration, and personalized learning. He has published in a variety of journals and edited books on teacher education, technology, inquiry-based learning, and curriculum development.

Suzanne Porath has been an English Language Arts, history, and humanities classroom teacher and reading teacher for 13 years before becoming a teacher educator. She has taught in Wisconsin and American international schools in Brazil, Lithuania, and Aruba when she conducted her own action research projects. Before accepting her current position as an assistant professor at Kansas State University in Curriculum and Instruction, she taught at Concordia University and Edgewood College in Wisconsin. She has taught action research methods at the graduate level and facilitated professional development through action research in school districts. She is the lead editor of Networks: An Online Journal for Teacher Research  https://newprairiepress.org/networks/ .

Julie Thiele , PhD. is an Assistant Professor at Kansas State University.  She teaches math education courses, math and science education courses and graduate research courses. Prior to teaching at KSU, she taught elementary and middle school, and led her district level professional learning community, focusing on implementing effective, research-based teaching practices.

Morgan M. Jobe is a program coordinator in the College of Education at Kansas State University, where she also earned a bachelor’s degree in secondary education and a master’s degree in curriculum and instruction. Morgan taught high school English-Language Arts for ten years in two different Kansas school districts before returning to Kansas State University as a staff member. Her research interests include diversity and equity issues in public education, as well as action research in teacher education programs.

Contribute to this Page

• Our Mission

How Teachers Can Learn Through Action Research

A look at one school’s action research project provides a blueprint for using this model of collaborative teacher learning.

When teachers redesign learning experiences to make school more relevant to students’ lives, they can’t ignore assessment. For many teachers, the most vexing question about real-world learning experiences such as project-based learning is: How will we know what students know and can do by the end of this project?

Teachers at the Siena School in Silver Spring, Maryland, decided to figure out the assessment question by investigating their classroom practices. As a result of their action research, they now have a much deeper understanding of authentic assessment and a renewed appreciation for the power of learning together.

Their research process offers a replicable model for other schools interested in designing their own immersive professional learning. The process began with a real-world challenge and an open-ended question, involved a deep dive into research, and ended with a public showcase of findings.

Start With an Authentic Need to Know

Siena School serves about 130 students in grades 4–12 who have mild to moderate language-based learning differences, including dyslexia. Most students are one to three grade levels behind in reading.

Teachers have introduced a variety of instructional strategies, including project-based learning, to better meet students’ learning needs and also help them develop skills like collaboration and creativity. Instead of taking tests and quizzes, students demonstrate what they know in a PBL unit by making products or generating solutions.

“We were already teaching this way,” explained Simon Kanter, Siena’s director of technology. “We needed a way to measure, was authentic assessment actually effective? Does it provide meaningful feedback? Can teachers grade it fairly?”

Focus the Research Question

Across grade levels and departments, teachers considered what they wanted to learn about authentic assessment, which the late Grant Wiggins described as engaging, multisensory, feedback-oriented, and grounded in real-world tasks. That’s a contrast to traditional tests and quizzes, which tend to focus on recall rather than application and have little in common with how experts go about their work in disciplines like math or history.

The teachers generated a big research question: Is using authentic assessment an effective and engaging way to provide meaningful feedback for teachers and students about growth and proficiency in a variety of learning objectives, including 21st-century skills?

Take Time to Plan

Next, teachers planned authentic assessments that would generate data for their study. For example, middle school science students created prototypes of genetically modified seeds and pitched their designs to a panel of potential investors. They had to not only understand the science of germination but also apply their knowledge and defend their thinking.

In other classes, teachers planned everything from mock trials to environmental stewardship projects to assess student learning and skill development. A shared rubric helped the teachers plan high-quality assessments.

Make Sense of Data

During the data-gathering phase, students were surveyed after each project about the value of authentic assessments versus more traditional tools like tests and quizzes. Teachers also reflected after each assessment.

“We collated the data, looked for trends, and presented them back to the faculty,” Kanter said.

Among the takeaways:

• Authentic assessment generates more meaningful feedback and more opportunities for students to apply it.
• Students consider authentic assessment more engaging, with increased opportunities to be creative, make choices, and collaborate.
• Teachers are thinking more critically about creating assessments that allow for differentiation and that are applicable to students’ everyday lives.

To make their learning public, Siena hosted a colloquium on authentic assessment for other schools in the region. The school also submitted its research as part of an accreditation process with the Middle States Association.

Strategies to Share

For other schools interested in conducting action research, Kanter highlighted three key strategies.

• Focus on areas of growth, not deficiency:  “This would have been less successful if we had said, ‘Our math scores are down. We need a new program to get scores up,’ Kanter said. “That puts the onus on teachers. Data collection could seem punitive. Instead, we focused on the way we already teach and thought about, how can we get more accurate feedback about how students are doing?”
• Foster a culture of inquiry:  Encourage teachers to ask questions, conduct individual research, and share what they learn with colleagues. “Sometimes, one person attends a summer workshop and then shares the highlights in a short presentation. That might just be a conversation, or it might be the start of a school-wide initiative,” Kanter explained. In fact, that’s exactly how the focus on authentic assessment began.
• Build structures for teacher collaboration:  Using staff meetings for shared planning and problem-solving fosters a collaborative culture. That was already in place when Siena embarked on its action research, along with informal brainstorming to support students.

For both students and staff, the deep dive into authentic assessment yielded “dramatic impact on the classroom,” Kanter added. “That’s the great part of this.”

In the past, he said, most teachers gave traditional final exams. To alleviate students’ test anxiety, teachers would support them with time for content review and strategies for study skills and test-taking.

“This year looks and feels different,” Kanter said. A week before the end of fall term, students were working hard on final products, but they weren’t cramming for exams. Teachers had time to give individual feedback to help students improve their work. “The whole climate feels way better.”

Action research in the classroom: A teacher's guide

November 26, 2021

Discover best practices for action research in the classroom, guiding teachers on implementing and facilitating impactful studies in schools.

Main, P (2021, November 26). Action research in the classroom: A teacher's guide. Retrieved from https://www.structural-learning.com/post/action-research-in-the-classroom-a-teachers-guide

What is action research?

Action research is a participatory process designed to empower educators to examine and improve their own practice. It is characterized by a cycle of planning , action, observation, and reflection, with the goal of achieving a deeper understanding of practice within educational contexts. This process encourages a wide range of approaches and can be adapted to various social contexts.

At its core, action research involves critical reflection on one's actions as a basis for improvement. Senior leaders and teachers are guided to reflect on their educational strategies , classroom management, and student engagement techniques. It's a collaborative effort that often involves not just the teachers but also the students and other stakeholders, fostering an inclusive process that values the input of all participants.

The action research process is iterative, with each cycle aiming to bring about a clearer understanding and improvement in practice. It typically begins with the identification of real-world problems within the school environment, followed by a circle of planning where strategies are developed to address these issues. The implementation of these strategies is then observed and documented, often through journals or participant observation, allowing for reflection and analysis.

The insights gained from action research contribute to Organization Development, enhancing the quality of teaching and learning. This approach is strongly aligned with the principles of Quality Assurance in Education, ensuring that the actions taken are effective and responsive to the needs of the school community.

Educators can share their findings in community forums or through publications in journals, contributing to the wider theory about practice . Tertiary education sector often draws on such studies to inform teacher training and curriculum development.

In summary, the significant parts of action research include:

• A continuous cycle of planning, action, observation, and reflection.
• A focus on reflective practice to achieve a deeper understanding of educational methodologies.
• A commitment to inclusive and participatory processes that engage the entire school community.

Creating an action research project

The action research process usually begins with a situation or issue that a teacher wants to change as part of school improvement initiatives .

Teachers get support in changing the ' interesting issue ' into a 'researchable question' and then taking to experiment. The teacher will draw on the outcomes of other researchers to help build actions and reveal the consequences .

Participatory action research is a strategy to the enquiry which has been utilised since the 1940s. Participatory action involves researchers and other participants taking informed action to gain knowledge of a problematic situation and change it to bring a positive effect. As an action researcher , a teacher carries out research . Enquiring into their practice would lead a teacher to question the norms and assumptions that are mostly overlooked in normal school life . Making a routine of inquiry can provide a commitment to learning and professional development . A teacher-researcher holds the responsibility for being the source and agent of change.

Examples of action research projects in education include a teacher working with students to improve their reading comprehension skills , a group of teachers collaborating to develop and implement a new curriculum, or a school administrator conducting a study on the effectiveness of a school-wide behavior management program.

In each of these cases, the research is aimed at improving the educational experience for students and addressing a specific issue or problem within the school community . Action research can be a powerful tool for educators to improve their practice and make a positive impact on their students' learning.

Potential research questions could include:

• How can dual-coding be used to improve my students memory ?
• Does mind-mapping lead to creativity?
• How does Oracy improve my classes writing?
• How can we advance critical thinking in year 10?
• How can graphic organisers be used for exam preparation?

Regardless of the types of action research your staff engage in, a solid cycle of inquiry is an essential aspect of the action research spiral. Building in the process of reflection will ensure that key points of learning can be extracted from the action research study.

What is an action research cycle?

Action research in education is a cycle of reflection and action inquiry , which follows these steps:

1. Identifying the problem

It is the first stage of action research that starts when a teacher identifies a problem or question that they want to address. To make an a ction research approach successful, the teacher needs to ensure that the questions are the ones 'they' wish to solve. Their questions might involve social sciences, instructional strategies, everyday life and social management issues, guide for students analytical research methods for improving specific student performance or curriculum implementation etc. Teachers may seek help from a wide variety of existing literature , to find strategies and solutions that others have executed to solve any particular problem. It is also suggested to build a visual map or a table of problems, target performances, potential solutions and supporting references in the middle.

2. Developing an Action Plan

After identifying the problem, after r eviewing the relevant literature and describing the vision of how to solve the problem; the next step would be action planning which means to develop a plan of action . Action planning involves studying the literature and brainstorming can be used by the action research planner to create new techniques and strategies that can generate better results of both action learning and action research. One may go back to the visual map or table of contents and reorder or colour-code the potential outcomes. The items in the list can be ranked in order of significance and the amount of time needed for these strategies.

An action plan has the details of how to implement each idea and the factors that may keep them from their vision of success . Identify those factors that cannot be changed –these are the constants in an equation. The focus of action research at the planning stage must remain focused on the variables –the factors that can be changed using actions. An action plan must be how to implement a solution and how one's instruction, management style, and behaviour will affect each of the variables.

3. Data Collection

Before starting to implement a plan of action , the researcher must have a complete understanding of action research and must have knowledge of the type of data that may help in the success of the plan and must assess how to collect that data. For instance, if the goal is to improve class attendance, attendance records must be collected as useful data for the participatory action. If the goal is to improve time management, the data may include students and classroom observations . There are many options to choose from to collect data from. Selecting the most suitable methodology for data collection will provide more meaningful , accurate and valid data. Some sources of data are interviews and observation. Also, one may administer surveys , distribute questionnaires and watch videotapes of the classroom to collect data.

4. Data Analysis and Conclusions

At this action stage, an action researcher analyses the collected data and concludes. It is suggested to assess the data during the predefined process of data collection as it will help refine the action research agenda. If the collected data seems insufficient , the data collection plan must be revised. Data analysis also helps to reflect on what exactly happened. Did the action researcher perform the actions as planned? Were the study outcomes as expected? Which assumptions of the action researcher proved to be incorrect?

Adding details such as tables, opinions, and recommendations can help in identifying trends (correlations and relationships). One must share the findings while analysing data and drawing conclusions . Engaging in conversations for teacher growth is essential; hence, the action researcher would share the findings with other teachers through discussion of action research, who can yield useful feedback. One may also share the findings with students, as they can also provide additional insight . For example, if teachers and students agree with the conclusions of action research for educational change, it adds to the credibility of the data collection plan and analysis. If they don't seem to agree with the data collection plan and analysis , the action researchers may take informed action and refine the data collection plan and reevaluate conclusions .

5. Modifying the Educational Theory and Repeat

After concluding, the process begins again. The teacher can adjust different aspects of the action research approach to theory or make it more specific according to the findings . Action research guides how to change the steps of action research development, how to modify the action plan , and provide better access to resources, start data collection once again, or prepare new questions to ask from the respondents.

6. Report the Findings

Since the main approach to action research involves the informed action to introduce useful change into the classroom or schools, one must not forget to share the outcomes with others. Sharing the outcomes would help to further reflect on the problem and process, and it would help other teachers to use these findings to enhance their professional practice as an educator. One may print book and share the experience with the school leaders, principal, teachers and students as they served as guide to action research. Or, a community action researcher may present community-based action research at a conference so people from other areas can take advantage of this collaborative action. Also, teachers may use a digital storytelling tool to outline their results.

There are plenty of creative tools we can use to bring the research projects to life. We have seen videos, podcasts and research posters all being used to communicate the results of these programs. Community action research is a unique way to present details of the community-related adventures in the teacher profession, cultivate expertise and show how teachers think about education , so it is better to find unique ways to report the findings of community-led action research.

Final thoughts on action-research for teachers

As we have seen, action research can be an effective form of professional development, illuminating the path for teachers and school leaders seeking to refine their craft. This cyclical process of inquiry and reflection is not merely a methodological pursuit but a profound professional journey. The definition of action research, as a systematic inquiry conducted by teachers, administrators, and other stakeholders in the teaching/learning environment, emphasizes the collaborative nature of improving educational strategies and outcomes.

Action research transcends traditional disciplinary practices by immersing educators in the social contexts of their work, prompting them to question and adapt their methods to meet the evolving needs of their students . It is a form of reflective practice that demands critical thinking and flexibility, as one navigates through the iterative stages of planning, acting, observing, and reflecting.

The process of action research is inherently participatory, encouraging educators to engage with their learning communities to address key issues and social issues that impact educational settings. This method empowers professionals within universities and schools alike to take ownership of their learning and development, fostering a culture of continuous improvement and participatory approaches.

In summary, action research encapsulates the essence of what it means to be a learning professional in a dynamic educational landscape. It is the embodiment of a commitment to lifelong learning and a testament to the capacity of educators to enact change . The value of action research lies in its ability to transform practitioners into researchers, where the quest for knowledge becomes a powerful conduit for change and innovation. Thus, for educators at every level, embracing the rigorous yet rewarding path of action research can unveil potent insights and propel educational practice to new heights.

Key Papers on Action Research

• Utilizing Action Research During Student Teaching by James O. Barbre and Brenda J. Buckner (2013): This study explores how action research can be effectively utilized during student teaching to enhance professional pedagogical disposition through active reflection. It emphasizes developing a reflective habit of mind crucial for teachers to be effective in their classrooms and adaptive to the changing needs of their students.
• Repositioning T eacher Action Research in Science Teacher Education by B. Capobianco and A. Feldman (2010): This paper discusses the promotion of action research as a way for teachers to improve their practice and students' learning for over 50 years, focusing on science education. It highlights the importance of action research in advancing knowledge about teaching and learning in science.
• Action research and teacher leadership by K. Smeets and P. Ponte (2009): This article reports on a case study into the influence and impact of action research carried out by teachers in a special school. It found that action research not only helps teachers to get to grips with their work in the classroom but also has an impact on the work of others in the school.
• Teaching about the Nature of Science through History: Action Research in the Classroom by J. Solomon, Jon Duveen, Linda Scot, S. McCarthy (1992): This article reports on 18 months of action research monitoring British pupils' learning about the nature of science using historical aspects. It indicates areas of substantial progress in pupils' understanding of the nature of science.
• Action Research in the Classroom by V. Baumfield, E. Hall, K. Wall (2008): This comprehensive guide to conducting action research in the classroom covers various aspects, including deciding on a research question, choosing complementary research tools, collecting and interpreting data, and sharing findings. It aims to move classroom inquiry forward and contribute to professional development.

These studies highlight the significant role of action research in enhancing teacher effectiveness, student learning outcomes, and contributing to the broader educational community's knowledge and practices.

Enhance Learner Outcomes Across Your School

Download an Overview of our Support and Resources

We'll send it over now.

Please fill in the details so we can send over the resources.

What type of school are you?

We'll get you the right resource

Is your school involved in any staff development projects?

Are your colleagues running any research projects or courses?

Do you have any immediate school priorities?

Please check the ones that apply.

Download your resource

Thanks for taking the time to complete this form, submit the form to get the tool.

Classroom Practice

200+ List of Topics for Action Research in the Classroom

In the dynamic landscape of education, teachers are continually seeking innovative ways to enhance their teaching practices and improve student outcomes. Action research in the classroom is a powerful tool that allows educators to investigate and address specific challenges, leading to positive changes in teaching methods and learning experiences. 

Selecting the right topics from the list of topics for action research in the classroom is crucial for ensuring meaningful insights and improvements. In this blog post, we will explore the significance of action research in the classroom, the criteria for selecting impactful topics, and provide an extensive list of potential research areas.

Understanding: What is Action Research

Table of Contents

Action research is a reflective process that empowers teachers to systematically investigate and analyze their own teaching practices. Unlike traditional research, action research is conducted by educators within their own classrooms, emphasizing a collaborative and participatory approach. 

This method enables teachers to identify challenges, implement interventions, and assess the effectiveness of their actions.

How to Select Topics From List of Topics for Action Research in the Classroom

Choosing the right topic is the first step in the action research process. The selected topic should align with classroom goals, address students’ needs, be feasible to implement, and have the potential for positive impact. Teachers should consider the following criteria when selecting action research topics:

• Alignment with Classroom Goals and Objectives: The chosen topic should directly contribute to the overall goals and objectives of the classroom. Whether it’s improving student engagement, enhancing learning outcomes, or fostering a positive classroom environment, the topic should align with the broader educational context.
• Relevance to Students’ Needs and Challenges: Effective action research addresses the specific needs and challenges faced by students. Teachers should identify areas where students may be struggling or where improvement is needed, ensuring that the research directly impacts the learning experiences of the students.
• Feasibility and Practicality: The feasibility of the research is crucial. Teachers must choose topics that are practical to implement within the constraints of the classroom setting. This includes considering available resources, time constraints, and the level of support from school administrators.
• Potential for Positive Impact: The ultimate goal of action research is to bring about positive change. Teachers should carefully assess the potential impact of their research, aiming for improvements in teaching methods, student performance, or overall classroom dynamics.

List of Topics for Action Research in the Classroom

• Impact of Mindfulness Practices on Student Focus
• The Effectiveness of Peer Tutoring in Mathematics
• Strategies for Encouraging Critical Thinking in History Classes
• Using Gamification to Enhance Learning in Science
• Investigating the Impact of Flexible Seating Arrangements
• Assessing the Benefits of Project-Based Learning in Language Arts
• The Influence of Classroom Decor on Student Motivation
• Examining the Use of Learning Stations for Differentiation
• Implementing Reflective Journals to Enhance Writing Skills
• Exploring the Impact of Flipped Classroom Models
• Analyzing the Effects of Homework on Student Performance
• The Role of Positive Reinforcement in Classroom Behavior
• Investigating the Impact of Classroom Libraries on Reading Proficiency
• Strategies for Fostering a Growth Mindset in Students
• Assessing the Benefits of Cross-Curricular Integration
• Using Technology to Enhance Vocabulary Acquisition
• The Impact of Outdoor Learning on Student Engagement
• Investigating the Relationship Between Attendance and Academic Success
• The Role of Parental Involvement in Homework Completion
• Assessing the Impact of Classroom Rituals on Community Building
• Strategies for Increasing Student Participation in Discussions
• Exploring the Influence of Classroom Lighting on Student Alertness
• Investigating the Impact of Daily Agendas on Time Management
• The Effectiveness of Socratic Seminars in Social Studies
• Analyzing the Use of Graphic Organizers for Concept Mapping
• Implementing Student-Led Conferences for Goal Setting
• Examining the Effects of Mind Mapping on Information Retention
• The Influence of Classroom Temperature on Academic Performance
• Investigating the Benefits of Cooperative Learning Strategies
• Strategies for Addressing Test Anxiety in Students
• Assessing the Impact of Positive Affirmations on Student Confidence
• The Use of Literature Circles to Enhance Reading Comprehension
• Exploring the Effects of Classroom Noise Levels on Concentration
• Investigating the Benefits of Cross-Grade Collaborations
• Analyzing the Impact of Goal Setting on Student Achievement
• Implementing Interactive Notebooks for Conceptual Understanding
• The Effectiveness of Response to Intervention (RTI) Programs
• Strategies for Integrating Social-Emotional Learning (SEL)
• Investigating the Impact of Classroom Discussions on Critical Thinking
• The Role of Brain Breaks in Enhancing Student Focus
• Assessing the Benefits of Inquiry-Based Learning in Science
• Exploring the Effects of Music on Studying and Retention
• Investigating the Use of Learning Contracts for Individualized Learning
• The Influence of Classroom Colors on Mood and Learning
• Strategies for Promoting Collaborative Problem-Solving
• Analyzing the Impact of Flexible Scheduling on Student Productivity
• The Effectiveness of Mindful Breathing Exercises on Stress Reduction
• Investigating the Benefits of Service Learning Projects
• The Role of Peer Assessment in Improving Writing Skills
• Exploring the Impact of Field Trips on Cultural Competency
• Assessing the Benefits of Personalized Learning Plans
• Strategies for Differentiating Instruction in Large Classrooms
• Investigating the Influence of Teacher-Student Relationships on Learning
• The Effectiveness of Vocabulary Games in Foreign Language Classes
• Analyzing the Impact of Classroom Discussions on Civic Engagement
• Implementing Goal-Setting Strategies for Test Preparation
• The Role of Classroom Celebrations in Building a Positive Environment
• Strategies for Enhancing Student Reflection and Metacognition
• Investigating the Effects of Positive Behavior Supports (PBS)
• The Influence of Classroom Humor on Student Engagement
• Assessing the Benefits of Student-Led Research Projects
• Exploring the Impact of Timed vs. Untimed Tests on Anxiety
• Investigating the Use of Educational Podcasts for Learning
• The Effectiveness of Debate Activities in Developing Persuasive Skills
• Analyzing the Impact of Mindful Walking Breaks on Concentration
• Strategies for Promoting Digital Citizenship in the Classroom
• The Role of Visualization Techniques in Mathematics Learning
• Assessing the Benefits of Classroom Agreements for Behavior
• Exploring the Effects of Goal-Setting in Physical Education
• Investigating the Influence of Classroom Seating Charts on Behavior
• The Effectiveness of Peer Editing in Improving Writing Skills
• Strategies for Integrating Cultural Competency in History Lessons
• Analyzing the Impact of Classroom Pets on Student Well-Being
• The Role of Morning Meetings in Building Classroom Community
• Investigating the Benefits of Using Learning Centers in Elementary Schools
• Exploring the Effects of Virtual Reality in Geography Education
• Assessing the Impact of Homework Choice on Student Motivation
• Strategies for Promoting Growth Mindset in Mathematics
• The Influence of Classroom Layout on Group Collaboration
• Investigating the Benefits of Mindful Listening Practices
• The Effectiveness of Using Real-World Examples in Science Lessons
• Analyzing the Impact of Student-Led Assessments on Accountability
• Exploring the Use of Learning Contracts for Student Responsibility
• Investigating the Benefits of Teaching Digital Literacy Skills
• Strategies for Implementing Peer Mentoring Programs
• The Role of Graphic Novels in Promoting Literacy
• Assessing the Impact of Flexible Grouping in Mathematics Classes
• The Effectiveness of Using Storytelling for Conceptual Understanding
• Investigating the Influence of Classroom Rituals on Attendance
• Exploring the Benefits of Mindfulness Practices in Physical Education
• Strategies for Integrating Social Justice Education in the Curriculum
• Analyzing the Impact of Goal-Setting on Homework Completion
• The Role of Classroom Mindfulness Activities in Stress Reduction
• Investigating the Benefits of Using Educational Apps for Vocabulary
• The Effectiveness of Using Drama in History Lessons
• Assessing the Impact of Classroom Routines on Time Management
• Exploring the Influence of Teacher-Student Rapport on Academic Achievement
• Strategies for Promoting Active Listening Skills in the Classroom
• Investigating the Benefits of Using Concept Mapping in Science
• The Role of Classroom Socratic Seminars in Developing Critical Thinking
• Assessing the Impact of Mindful Eating Practices on Student Focus
• Exploring the Effects of Flipped Learning in Physical Education
• Investigating the Benefits of Using Educational Games for Math Fluency
• The Effectiveness of Peer Assessment in Art Classes
• Strategies for Fostering Creativity in Science Education
• Analyzing the Impact of Morning Stretches on Student Alertness
• The Role of Classroom Discussions in Enhancing Social Studies Learning
• Investigating the Benefits of Using Augmented Reality in History Lessons
• Assessing the Impact of Growth Mindset Interventions on Test Anxiety
• Strategies for Incorporating Environmental Education in the Curriculum
• The Effectiveness of Using Conceptual Maps in Literature Analysis
• Exploring the Influence of Classroom Lighting on Reading Comprehension
• Investigating the Benefits of Using Learning Apps for Language Acquisition
• The Role of Classroom Experiments in Science Education
• Analyzing the Impact of Mindful Breathing Exercises on Test Performance
• Strategies for Promoting Collaborative Problem-Solving in Mathematics
• Assessing the Benefits of Mindfulness Practices in Physical Education
• Exploring the Effects of Flexible Seating on Student Collaboration
• Investigating the Influence of Homework Choice on Student Motivation
• The Effectiveness of Using Educational Podcasts for History Learning
• Strategies for Integrating Sustainability Education Across Subjects
• Analyzing the Impact of Mindful Writing Practices on Language Arts Skills
• The Role of Peer Teaching in Enhancing Understanding of Complex Concepts
• Investigating the Benefits of Using Digital Storytelling in Literature Classes
• The Effectiveness of Inquiry-Based Learning in Social Studies
• Assessing the Impact of Student-Led Book Clubs on Reading Engagement
• Strategies for Incorporating Financial Literacy in Mathematics Education
• Exploring the Influence of Classroom Decor on Science Interest
• Investigating the Benefits of Mindful Movement Breaks in the Classroom
• The Role of Reflection Journals in Developing Critical Thinking Skills
• Analyzing the Impact of Virtual Field Trips on Geography Learning
• Strategies for Promoting Inclusive Physical Education Practices
• Assessing the Benefits of Using Educational Board Games for Learning
• The Effectiveness of Mindfulness Practices in Foreign Language Classes
• Investigating the Influence of Classroom Rituals on Academic Rigor
• Exploring the Impact of Student-Led Conferences on Goal Setting
• The Role of Mindful Listening Practices in Improving Communication Skills
• Investigating the Benefits of Using Educational Apps for Science Exploration
• Analyzing the Effectiveness of Socratic Seminars in Philosophy Classes
• Strategies for Promoting Gender Equity in STEM Education
• Assessing the Impact of Classroom Celebrations on Student Well-Being
• The Effectiveness of Using Debate Activities in Language Arts
• Exploring the Influence of Positive Affirmations on Classroom Climate
• Investigating the Benefits of Using Concept Mapping in History Essays
• Strategies for Incorporating Media Literacy in Social Studies
• Analyzing the Impact of Mindful Reflection Practices on Homework Completion
• The Role of Peer Collaboration in Enhancing Artistic Skills
• Investigating the Benefits of Using Educational Apps for Vocabulary Acquisition
• The Effectiveness of Mindful Breathing Exercises in Test Preparation
• Assessing the Impact of Flipped Learning in Science Laboratories
• Strategies for Promoting Civic Engagement in Social Studies Classes
• Exploring the Influence of Outdoor Learning on Scientific Inquiry
• Investigating the Benefits of Using Learning Stations for Literature Analysis
• The Role of Mindful Movement in Improving Physical Education Experiences
• Analyzing the Effectiveness of Virtual Reality in Language Learning
• Strategies for Incorporating Global Perspectives in Geography Education
• Assessing the Impact of Mindful Coloring Activities on Stress Reduction
• The Effectiveness of Using Educational Games for History Review
• Investigating the Benefits of Mindful Breathing Exercises in Mathematics
• Exploring the Influence of Classroom Rituals on Study Habits
• The Role of Mindful Listening Practices in Enhancing Oral Communication
• Analyzing the Impact of Student-Led Workshops on Study Skills
• Strategies for Promoting Critical Media Literacy in Language Arts
• Assessing the Benefits of Mindfulness Practices in Physical Fitness
• The Effectiveness of Using Educational Apps for Music Appreciation
• Investigating the Influence of Classroom Decor on Artistic Expression
• Exploring the Impact of Mindful Eating Practices on Nutrition Awareness
• The Role of Peer Assessment in Improving Science Fair Projects
• Analyzing the Benefits of Mindful Breathing Exercises in History Classes
• Strategies for Promoting Teamwork in Physical Education
• Assessing the Impact of Classroom Celebrations on Cultural Understanding
• The Effectiveness of Using Conceptual Maps in Geography Education
• Investigating the Benefits of Mindful Movement Breaks in Mathematics
• The Role of Mindful Listening Practices in Improving Musical Skills
• Analyzing the Impact of Student-Led Discussions in Philosophy Classes
• Strategies for Incorporating Environmental Stewardship in Science Education
• Assessing the Benefits of Using Educational Games for Physical Fitness
• Exploring the Influence of Classroom Decor on Mathematical Interest
• Investigating the Effectiveness of Virtual Reality in Art Appreciation
• The Role of Mindful Movement in Enhancing Physical Education Experiences
• Strategies for Promoting Cultural Competency in Language Arts
• Analyzing the Impact of Mindful Breathing Exercises on Test Anxiety
• The Effectiveness of Using Educational Apps for Science Exploration
• Investigating the Benefits of Peer Teaching in Mathematics Classes
• Exploring the Influence of Classroom Rituals on Language Arts Skills
• Assessing the Impact of Mindful Coloring Activities on Creative Expression
• The Role of Mindful Listening Practices in Improving Public Speaking
• Investigating the Benefits of Using Learning Stations for History Learning
• The Effectiveness of Peer Assessment in Improving Writing Skills
• Strategies for Promoting Digital Literacy in Geography Education
• Analyzing the Impact of Mindful Eating Practices on Healthy Habits
• Assessing the Benefits of Using Educational Games for Social Studies
• The Effectiveness of Mindful Movement Breaks in Science Education
• Exploring the Influence of Classroom Decor on Writing Motivation
• Investigating the Role of Mindfulness Practices in Mathematics Anxiety
• Strategies for Incorporating Financial Literacy in Social Studies
• Analyzing the Benefits of Using Concept Mapping in Science Labs
• The Role of Mindful Breathing Exercises in Improving Music Education
• Exploring the Impact of Virtual Reality on Foreign Language Acquisition
• Assessing the Benefits of Mindful Movement Breaks in History Classes

Tips for Conducting Action Research in the Classroom

• Setting Clear Research Goals and Objectives: Clearly define the goals and objectives of the research to ensure a focused and purposeful investigation.
• Involving Stakeholders in the Research Process: Engage students, parents, and colleagues in the research process to gather diverse perspectives and insights.
• Collecting and Analyzing Relevant Data: Use a variety of data collection methods, such as surveys, observations, and assessments, to gather comprehensive and meaningful data.
• Reflecting on Findings and Adjusting Teaching Practices: Regularly reflect on the research findings and be open to adjusting teaching practices based on the insights gained from the research.

Case Studies or Examples

Highlighting successful action research projects provides inspiration and practical insights for teachers. 

Sharing case studies or examples of impactful research can demonstrate the positive outcomes and improvements that can result from well-conducted action research.

In conclusion, action research is a valuable tool for educators seeking to enhance their teaching practices and improve student outcomes. 

Selecting the right topics from a list of topics for action research in the classroom is crucial for the success of action research projects, and teachers should consider alignment with goals, relevance to students, feasibility, and potential impact. 

By exploring a diverse range of topics, teachers can embark on meaningful action research journeys, contributing to the continuous improvement of education.

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

Created by the Great Schools Partnership , the GLOSSARY OF EDUCATION REFORM is a comprehensive online resource that describes widely used school-improvement terms, concepts, and strategies for journalists, parents, and community members. | Learn more »

Action Research

In schools, action research refers to a wide variety of evaluative, investigative, and analytical research methods designed to diagnose problems or weaknesses—whether organizational, academic, or instructional—and help educators develop practical solutions to address them quickly and efficiently. Action research may also be applied to programs or educational techniques that are not necessarily experiencing any problems, but that educators simply want to learn more about and improve. The general goal is to create a simple, practical, repeatable process of iterative learning, evaluation, and improvement that leads to increasingly better results for schools, teachers, or programs.

Action research may also be called a cycle of action or cycle of inquiry , since it typically follows a predefined process that is repeated over time. A simple illustrative example:

• Identify a problem to be studied
• Collect data on the problem
• Organize, analyze, and interpret the data
• Develop a plan to address the problem
• Implement the plan
• Evaluate the results of the actions taken
• Identify a new problem
• Repeat the process

Unlike more formal research studies, such as those conducted by universities and published in peer-reviewed scholarly journals, action research is typically conducted by the educators working in the district or school being studied—the participants—rather than by independent, impartial observers from outside organizations. Less formal, prescriptive, or theory-driven research methods are typically used when conducting action research, since the goal is to address practical problems in a specific school or classroom, rather than produce independently validated and reproducible findings that others, outside of the context being studied, can use to guide their future actions or inform the design of their academic programs. That said, while action research is typically focused on solving a specific problem (high rates of student absenteeism, for example) or answer a specific question (Why are so many of our ninth graders failing math?), action research can also make meaningful contributions to the larger body of knowledge and understanding in the field of education, particularly within a relatively closed system such as school, district, or network of connected organizations.

The term “action research” was coined in the 1940s by Kurt Lewin, a German-American social psychologist who is widely considered to be the founder of his field. The basic principles of action research that were described by Lewin are still in use to this day.

Educators typically conduct action research as an extension of a particular school-improvement plan, project, or goal—i.e., action research is nearly always a school-reform strategy. The object of action research could be almost anything related to educational performance or improvement, from the effectiveness of certain teaching strategies and lesson designs to the influence that family background has on student performance to the results achieved by a particular academic support strategy or learning program—to list just a small sampling.

For related discussions, see action plan , capacity , continuous improvement , evidence-based , and professional development .

Alphabetical Search

Frequently asked questions

What is the main purpose of action research.

Action research is focused on solving a problem or informing individual and community-based knowledge in a way that impacts teaching, learning, and other related processes. It is less focused on contributing theoretical input, instead producing actionable input.

Frequently asked questions: Methodology

Attrition refers to participants leaving a study. It always happens to some extent—for example, in randomized controlled trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Action research is conducted in order to solve a particular issue immediately, while case studies are often conducted over a longer period of time and focus more on observing and analyzing a particular ongoing phenomenon.

Action research is particularly popular with educators as a form of systematic inquiry because it prioritizes reflection and bridges the gap between theory and practice. Educators are able to simultaneously investigate an issue as they solve it, and the method is very iterative and flexible.

A cycle of inquiry is another name for action research . It is usually visualized in a spiral shape following a series of steps, such as “planning → acting → observing → reflecting.”

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

• Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

Content validity shows you how accurately a test or other measurement method taps  into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analyzing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalizations —often the goal of quantitative research . As such, a snowball sample is not representative of the target population and is usually a better fit for qualitative research .

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones.

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is best used in the following cases:

• If there is no sampling frame available (e.g., people with a rare disease)
• If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
• If the research focuses on a sensitive topic (e.g., extramarital affairs)

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Reproducibility and replicability are related terms.

• Reproducing research entails reanalyzing the existing data in the same manner.
• Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data . 
• A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
• A successful replication shows that the reliability of the results is high.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Purposive and convenience sampling are both sampling methods that are typically used in qualitative data collection.

A convenience sample is drawn from a source that is conveniently accessible to the researcher. Convenience sampling does not distinguish characteristics among the participants. On the other hand, purposive sampling focuses on selecting participants possessing characteristics associated with the research study.

The findings of studies based on either convenience or purposive sampling can only be generalized to the (sub)population from which the sample is drawn, and not to the entire population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection, using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The key difference between observational studies and experimental designs is that a well-done observational study does not influence the responses of participants, while experiments do have some sort of treatment condition applied to at least some participants by random assignment .

An observational study is a great choice for you if your research question is based purely on observations. If there are ethical, logistical, or practical concerns that prevent you from conducting a traditional experiment , an observational study may be a good choice. In an observational study, there is no interference or manipulation of the research subjects, as well as no control or treatment groups .

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity ,  because it covers all of the other types. You need to have face validity , content validity , and criterion validity to achieve construct validity.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

• Convergent validity : The extent to which your measure corresponds to measures of related constructs
• Discriminant validity : The extent to which your measure is unrelated or negatively related to measures of distinct constructs

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

Naturalistic observation is a qualitative research method where you record the behaviors of your research subjects in real world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as “people watching” with a purpose.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it “depends” on your independent variable.

In statistics, dependent variables are also called:

• Response variables (they respond to a change in another variable)
• Outcome variables (they represent the outcome you want to measure)
• Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called “independent” because it’s not influenced by any other variables in the study.

Independent variables are also called:

• Explanatory variables (they explain an event or outcome)
• Predictor variables (they can be used to predict the value of a dependent variable)
• Right-hand-side variables (they appear on the right-hand side of a regression equation).

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups. Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

• Open-ended and flexible
• Impossible to answer with “yes” or “no” (questions that start with “why” or “how” are often best)
• Unambiguous, getting straight to the point while still stimulating discussion
• Unbiased and neutral

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when: 

• You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
• You are constrained in terms of time or resources and need to analyze your data quickly and efficiently.
• Your research question depends on strong parity between participants, with environmental conditions held constant.

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favorably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias can also occur in observations if the participants know they’re being observed. They might alter their behavior accordingly.

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

• You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
• Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

• You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions.
• Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
• You are seeking descriptive data, and are ready to ask questions that will deepen and contextualize your initial thoughts and hypotheses.
• Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts.

The four most common types of interviews are:

• Structured interviews : The questions are predetermined in both topic and order. 
• Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
• Unstructured interviews : None of the questions are predetermined.
• Focus group interviews : The questions are presented to a group instead of one individual.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

• Inductive generalization : You use observations about a sample to come to a conclusion about the population it came from.
• Statistical generalization: You use specific numbers about samples to make statements about populations.
• Causal reasoning: You make cause-and-effect links between different things.
• Sign reasoning: You make a conclusion about a correlational relationship between different things.
• Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess — it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Triangulation can help:

• Reduce research bias that comes from using a single method, theory, or investigator
• Enhance validity by approaching the same topic with different tools
• Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

• It’s time-consuming and labor-intensive, often involving an interdisciplinary team.
• Your results may be inconsistent or even contradictory.

There are four main types of triangulation :

• Data triangulation : Using data from different times, spaces, and people
• Investigator triangulation : Involving multiple researchers in collecting or analyzing data
• Theory triangulation : Using varying theoretical perspectives in your research
• Methodological triangulation : Using different methodologies to approach the same topic

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure. 

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field. It acts as a first defense, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps: 

• First, the author submits the manuscript to the editor.
• Reject the manuscript and send it back to author, or 
• Send it onward to the selected peer reviewer(s) 
• Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made. 
• Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Exploratory research aims to explore the main aspects of an under-researched problem, while explanatory research aims to explain the causes and consequences of a well-defined problem.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardization and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Every dataset requires different techniques to clean dirty data , but you need to address these issues in a systematic way. You focus on finding and resolving data points that don’t agree or fit with the rest of your dataset.

These data might be missing values, outliers, duplicate values, incorrectly formatted, or irrelevant. You’ll start with screening and diagnosing your data. Then, you’ll often standardize and accept or remove data to make your dataset consistent and valid.

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimize or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyze, detect, modify, or remove “dirty” data to make your dataset “clean.” Data cleaning is also called data cleansing or data scrubbing.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information—for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

In multistage sampling , you can use probability or non-probability sampling methods .

For a probability sample, you have to conduct probability sampling at every stage.

You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

These are four of the most common mixed methods designs :

• Convergent parallel: Quantitative and qualitative data are collected at the same time and analyzed separately. After both analyses are complete, compare your results to draw overall conclusions. 
• Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
• Explanatory sequential: Quantitative data is collected and analyzed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualize your quantitative findings.
• Exploratory sequential: Qualitative data is collected and analyzed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from state to city to neighborhood) to create a sample that’s less expensive and time-consuming to collect data from.

No, the steepness or slope of the line isn’t related to the correlation coefficient value. The correlation coefficient only tells you how closely your data fit on a line, so two datasets with the same correlation coefficient can have very different slopes.

To find the slope of the line, you’ll need to perform a regression analysis .

Correlation coefficients always range between -1 and 1.

The sign of the coefficient tells you the direction of the relationship: a positive value means the variables change together in the same direction, while a negative value means they change together in opposite directions.

The absolute value of a number is equal to the number without its sign. The absolute value of a correlation coefficient tells you the magnitude of the correlation: the greater the absolute value, the stronger the correlation.

These are the assumptions your data must meet if you want to use Pearson’s r :

• Both variables are on an interval or ratio level of measurement
• Data from both variables follow normal distributions
• Your data have no outliers
• Your data is from a random or representative sample
• You expect a linear relationship between the two variables

Quantitative research designs can be divided into two main categories:

• Correlational and descriptive designs are used to investigate characteristics, averages, trends, and associations between variables.
• Experimental and quasi-experimental designs are used to test causal relationships .

Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your sampling methods or criteria for selecting subjects
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

A research design is a strategy for answering your   research question . It defines your overall approach and determines how you will collect and analyze data.

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or through mail. All questions are standardized so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in-person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organize the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomization can minimize the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analyzing data from people using questionnaires.

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Correlation describes an association between variables : when one variable changes, so does the other. A correlation is a statistical indicator of the relationship between variables.

Causation means that changes in one variable brings about changes in the other (i.e., there is a cause-and-effect relationship between variables). The two variables are correlated with each other, and there’s also a causal link between them.

While causation and correlation can exist simultaneously, correlation does not imply causation. In other words, correlation is simply a relationship where A relates to B—but A doesn’t necessarily cause B to happen (or vice versa). Mistaking correlation for causation is a common error and can lead to false cause fallacy .

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

• In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
• In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

• A positive correlation means that both variables change in the same direction.
• A negative correlation means that the variables change in opposite directions.
• A zero correlation means there’s no relationship between the variables.

Random error  is almost always present in scientific studies, even in highly controlled settings. While you can’t eradicate it completely, you can reduce random error by taking repeated measurements, using a large sample, and controlling extraneous variables .

You can avoid systematic error through careful design of your sampling , data collection , and analysis procedures. For example, use triangulation to measure your variables using multiple methods; regularly calibrate instruments or procedures; use random sampling and random assignment ; and apply masking (blinding) where possible.

Systematic error is generally a bigger problem in research.

With random error, multiple measurements will tend to cluster around the true value. When you’re collecting data from a large sample , the errors in different directions will cancel each other out.

Systematic errors are much more problematic because they can skew your data away from the true value. This can lead you to false conclusions ( Type I and II errors ) about the relationship between the variables you’re studying.

Random and systematic error are two types of measurement error.

Random error is a chance difference between the observed and true values of something (e.g., a researcher misreading a weighing scale records an incorrect measurement).

Systematic error is a consistent or proportional difference between the observed and true values of something (e.g., a miscalibrated scale consistently records weights as higher than they actually are).

On graphs, the explanatory variable is conventionally placed on the x-axis, while the response variable is placed on the y-axis.

• If you have quantitative variables , use a scatterplot or a line graph.
• If your response variable is categorical, use a scatterplot or a line graph.
• If your explanatory variable is categorical, use a bar graph.

The term “ explanatory variable ” is sometimes preferred over “ independent variable ” because, in real world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so “explanatory variables” is a more appropriate term.

The difference between explanatory and response variables is simple:

• An explanatory variable is the expected cause, and it explains the results.
• A response variable is the expected effect, and it responds to other variables.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

• A control group that receives a standard treatment, a fake treatment, or no treatment.
• Random assignment of participants to ensure the groups are equivalent.

Depending on your study topic, there are various other methods of controlling variables .

There are 4 main types of extraneous variables :

• Demand characteristics : environmental cues that encourage participants to conform to researchers’ expectations.
• Experimenter effects : unintentional actions by researchers that influence study outcomes.
• Situational variables : environmental variables that alter participants’ behaviors.
• Participant variables : any characteristic or aspect of a participant’s background that could affect study results.

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

• Only requires small samples
• Statistically powerful
• Removes the effects of individual differences on the outcomes

Disadvantages:

• Internal validity threats reduce the likelihood of establishing a direct relationship between variables
• Time-related effects, such as growth, can influence the outcomes
• Carryover effects mean that the specific order of different treatments affect the outcomes

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

• Prevents carryover effects of learning and fatigue.
• Shorter study duration.
• Needs larger samples for high power.
• Uses more resources to recruit participants, administer sessions, cover costs, etc.
• Individual differences may be an alternative explanation for results.

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word “between” means that you’re comparing different conditions between groups, while the word “within” means you’re comparing different conditions within the same group.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a dice to randomly assign participants to groups.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalizability of your results, while random assignment improves the internal validity of your study.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomization. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

“Controlling for a variable” means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

• It’s caused by the independent variable .
• It influences the dependent variable
• When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered.

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

There are three key steps in systematic sampling :

• Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
• Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
• Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 x 5 = 15 subgroups.

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

• In single-stage sampling , you collect data from every unit within the selected clusters.
• In double-stage sampling , you select a random sample of units from within the clusters.
• In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

The American Community Survey  is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data is then collected from as large a percentage as possible of this random subset.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity  as they can use real-world interventions instead of artificial laboratory settings.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference with a true experiment is that the groups are not randomly assigned.

Blinding is important to reduce research bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behavior in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

• In a single-blind study , only the participants are blinded.
• In a double-blind study , both participants and experimenters are blinded.
• In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analyzing the data.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

A true experiment (a.k.a. a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyze your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviors. It is made up of 4 or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with 5 or 7 possible responses, to capture their degree of agreement.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalization .

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organize your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organization to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

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.

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.

When conducting research, collecting original data has significant advantages:

• You can tailor data collection to your specific research aims (e.g. understanding the needs of your consumers or user testing your website)
• You can control and standardize the process for high reliability and validity (e.g. choosing appropriate measurements and sampling methods )

However, there are also some drawbacks: data collection can be time-consuming, labor-intensive and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

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.

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control and randomization.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomization , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both!

You want to find out how blood sugar levels are affected by drinking diet soda and regular soda, so you conduct an experiment .

• The type of soda – diet or regular – is the independent variable .
• The level of blood sugar that you measure is the dependent variable – it changes depending on the type of soda.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling, and quota sampling .

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

Using careful research design and sampling procedures can help you avoid sampling bias . Oversampling can be used to correct undercoverage bias .

Some common types of sampling bias include self-selection bias , nonresponse bias , undercoverage bias , survivorship bias , pre-screening or advertising bias, and healthy user bias.

Sampling bias is a threat to external validity – it limits the generalizability of your findings to a broader group of people.

A sampling error is the difference between a population parameter and a sample statistic .

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment and situation effect.

The two types of external validity are population validity (whether you can generalize to other groups of people) and ecological validity (whether you can generalize to other situations and settings).

The external validity of a study is the extent to which you can generalize your findings to different groups of people, situations, and measures.

Cross-sectional studies cannot establish a cause-and-effect relationship or analyze behavior over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data is available for analysis; other times your research question may only require a cross-sectional study to answer it.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

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

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

Discrete and continuous variables are two types of quantitative variables :

• Discrete variables represent counts (e.g. the number of objects in a collection).
• Continuous variables represent measurable amounts (e.g. water volume or weight).

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

• The  independent variable  is the amount of nutrients added to the crop field.
• The  dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Experimental design means planning a set of procedures to investigate a relationship between variables . To design a controlled experiment, you need:

• A testable hypothesis
• At least one independent variable that can be precisely manipulated
• At least one dependent variable that can be precisely measured

When designing the experiment, you decide:

• How you will manipulate the variable(s)
• How you will control for any potential confounding variables
• How many subjects or samples will be included in the study
• How subjects will be assigned to treatment levels

Experimental design is essential to the internal and external validity of your experiment.

I nternal validity is the degree of confidence that the causal relationship you are testing is not influenced by other factors or variables .

External validity is the extent to which your results can be generalized to other contexts.

The validity of your experiment depends on your experimental design .

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.

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

Ask our team

Want to contact us directly? No problem.  We  are always here for you.

• Email [email protected]
• Start live chat
• Call +1 (510) 822-8066
• WhatsApp +31 20 261 6040

Our team helps students graduate by offering:

• A world-class citation generator
• Plagiarism Checker software powered by Turnitin
• Innovative Citation Checker software
• Professional proofreading services
• Over 300 helpful articles about academic writing, citing sources, plagiarism, and more

Scribbr specializes in editing study-related documents . We proofread:

• PhD dissertations
• Research proposals
• Personal statements
• Admission essays
• Motivation letters
• Reflection papers
• Journal articles
• Capstone projects

Scribbr’s Plagiarism Checker is powered by elements of Turnitin’s Similarity Checker , namely the plagiarism detection software and the Internet Archive and Premium Scholarly Publications content databases .

The add-on AI detector is powered by Scribbr’s proprietary software.

The Scribbr Citation Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Citation Generator in our publicly accessible repository on Github .