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Research Paper – Structure, Examples and Writing Guide

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Research Paper

Definition:

Research Paper is a written document that presents the author’s original research, analysis, and interpretation of a specific topic or issue.

It is typically based on Empirical Evidence, and may involve qualitative or quantitative research methods, or a combination of both. The purpose of a research paper is to contribute new knowledge or insights to a particular field of study, and to demonstrate the author’s understanding of the existing literature and theories related to the topic.

Structure of Research Paper

The structure of a research paper typically follows a standard format, consisting of several sections that convey specific information about the research study. The following is a detailed explanation of the structure of a research paper:

The title page contains the title of the paper, the name(s) of the author(s), and the affiliation(s) of the author(s). It also includes the date of submission and possibly, the name of the journal or conference where the paper is to be published.

The abstract is a brief summary of the research paper, typically ranging from 100 to 250 words. It should include the research question, the methods used, the key findings, and the implications of the results. The abstract should be written in a concise and clear manner to allow readers to quickly grasp the essence of the research.

Introduction

The introduction section of a research paper provides background information about the research problem, the research question, and the research objectives. It also outlines the significance of the research, the research gap that it aims to fill, and the approach taken to address the research question. Finally, the introduction section ends with a clear statement of the research hypothesis or research question.

Literature Review

The literature review section of a research paper provides an overview of the existing literature on the topic of study. It includes a critical analysis and synthesis of the literature, highlighting the key concepts, themes, and debates. The literature review should also demonstrate the research gap and how the current study seeks to address it.

The methods section of a research paper describes the research design, the sample selection, the data collection and analysis procedures, and the statistical methods used to analyze the data. This section should provide sufficient detail for other researchers to replicate the study.

The results section presents the findings of the research, using tables, graphs, and figures to illustrate the data. The findings should be presented in a clear and concise manner, with reference to the research question and hypothesis.

The discussion section of a research paper interprets the findings and discusses their implications for the research question, the literature review, and the field of study. It should also address the limitations of the study and suggest future research directions.

The conclusion section summarizes the main findings of the study, restates the research question and hypothesis, and provides a final reflection on the significance of the research.

The references section provides a list of all the sources cited in the paper, following a specific citation style such as APA, MLA or Chicago.

How to Write Research Paper

You can write Research Paper by the following guide:

• Choose a Topic: The first step is to select a topic that interests you and is relevant to your field of study. Brainstorm ideas and narrow down to a research question that is specific and researchable.
• Conduct a Literature Review: The literature review helps you identify the gap in the existing research and provides a basis for your research question. It also helps you to develop a theoretical framework and research hypothesis.
• Develop a Thesis Statement : The thesis statement is the main argument of your research paper. It should be clear, concise and specific to your research question.
• Plan your Research: Develop a research plan that outlines the methods, data sources, and data analysis procedures. This will help you to collect and analyze data effectively.
• Collect and Analyze Data: Collect data using various methods such as surveys, interviews, observations, or experiments. Analyze data using statistical tools or other qualitative methods.
• Organize your Paper : Organize your paper into sections such as Introduction, Literature Review, Methods, Results, Discussion, and Conclusion. Ensure that each section is coherent and follows a logical flow.
• Write your Paper : Start by writing the introduction, followed by the literature review, methods, results, discussion, and conclusion. Ensure that your writing is clear, concise, and follows the required formatting and citation styles.
• Edit and Proofread your Paper: Review your paper for grammar and spelling errors, and ensure that it is well-structured and easy to read. Ask someone else to review your paper to get feedback and suggestions for improvement.
• Cite your Sources: Ensure that you properly cite all sources used in your research paper. This is essential for giving credit to the original authors and avoiding plagiarism.

Research Paper Example

Note : The below example research paper is for illustrative purposes only and is not an actual research paper. Actual research papers may have different structures, contents, and formats depending on the field of study, research question, data collection and analysis methods, and other factors. Students should always consult with their professors or supervisors for specific guidelines and expectations for their research papers.

Research Paper Example sample for Students:

Title: The Impact of Social Media on Mental Health among Young Adults

Abstract: This study aims to investigate the impact of social media use on the mental health of young adults. A literature review was conducted to examine the existing research on the topic. A survey was then administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO (Fear of Missing Out) are significant predictors of mental health problems among young adults.

Introduction: Social media has become an integral part of modern life, particularly among young adults. While social media has many benefits, including increased communication and social connectivity, it has also been associated with negative outcomes, such as addiction, cyberbullying, and mental health problems. This study aims to investigate the impact of social media use on the mental health of young adults.

Literature Review: The literature review highlights the existing research on the impact of social media use on mental health. The review shows that social media use is associated with depression, anxiety, stress, and other mental health problems. The review also identifies the factors that contribute to the negative impact of social media, including social comparison, cyberbullying, and FOMO.

Methods : A survey was administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The survey included questions on social media use, mental health status (measured using the DASS-21), and perceived impact of social media on their mental health. Data were analyzed using descriptive statistics and regression analysis.

Results : The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO are significant predictors of mental health problems among young adults.

Discussion : The study’s findings suggest that social media use has a negative impact on the mental health of young adults. The study highlights the need for interventions that address the factors contributing to the negative impact of social media, such as social comparison, cyberbullying, and FOMO.

Conclusion : In conclusion, social media use has a significant impact on the mental health of young adults. The study’s findings underscore the need for interventions that promote healthy social media use and address the negative outcomes associated with social media use. Future research can explore the effectiveness of interventions aimed at reducing the negative impact of social media on mental health. Additionally, longitudinal studies can investigate the long-term effects of social media use on mental health.

Limitations : The study has some limitations, including the use of self-report measures and a cross-sectional design. The use of self-report measures may result in biased responses, and a cross-sectional design limits the ability to establish causality.

Implications: The study’s findings have implications for mental health professionals, educators, and policymakers. Mental health professionals can use the findings to develop interventions that address the negative impact of social media use on mental health. Educators can incorporate social media literacy into their curriculum to promote healthy social media use among young adults. Policymakers can use the findings to develop policies that protect young adults from the negative outcomes associated with social media use.

References :

• Twenge, J. M., & Campbell, W. K. (2019). Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Preventive medicine reports, 15, 100918.
• Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., … & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among US young adults. Computers in Human Behavior, 69, 1-9.
• Van der Meer, T. G., & Verhoeven, J. W. (2017). Social media and its impact on academic performance of students. Journal of Information Technology Education: Research, 16, 383-398.

Appendix : The survey used in this study is provided below.

Social Media and Mental Health Survey

• How often do you use social media per day?
• Less than 30 minutes
• 30 minutes to 1 hour
• 1 to 2 hours
• 2 to 4 hours
• More than 4 hours
• Which social media platforms do you use?
• Others (Please specify)
• How often do you experience the following on social media?
• Social comparison (comparing yourself to others)
• Cyberbullying
• Fear of Missing Out (FOMO)
• Have you ever experienced any of the following mental health problems in the past month?
• Do you think social media use has a positive or negative impact on your mental health?
• Very positive
• Somewhat positive
• Somewhat negative
• Very negative
• In your opinion, which factors contribute to the negative impact of social media on mental health?
• Social comparison
• In your opinion, what interventions could be effective in reducing the negative impact of social media on mental health?
• Education on healthy social media use
• Counseling for mental health problems caused by social media
• Social media detox programs
• Regulation of social media use

Thank you for your participation!

Applications of Research Paper

Research papers have several applications in various fields, including:

• Advancing knowledge: Research papers contribute to the advancement of knowledge by generating new insights, theories, and findings that can inform future research and practice. They help to answer important questions, clarify existing knowledge, and identify areas that require further investigation.
• Informing policy: Research papers can inform policy decisions by providing evidence-based recommendations for policymakers. They can help to identify gaps in current policies, evaluate the effectiveness of interventions, and inform the development of new policies and regulations.
• Improving practice: Research papers can improve practice by providing evidence-based guidance for professionals in various fields, including medicine, education, business, and psychology. They can inform the development of best practices, guidelines, and standards of care that can improve outcomes for individuals and organizations.
• Educating students : Research papers are often used as teaching tools in universities and colleges to educate students about research methods, data analysis, and academic writing. They help students to develop critical thinking skills, research skills, and communication skills that are essential for success in many careers.
• Fostering collaboration: Research papers can foster collaboration among researchers, practitioners, and policymakers by providing a platform for sharing knowledge and ideas. They can facilitate interdisciplinary collaborations and partnerships that can lead to innovative solutions to complex problems.

When to Write Research Paper

Research papers are typically written when a person has completed a research project or when they have conducted a study and have obtained data or findings that they want to share with the academic or professional community. Research papers are usually written in academic settings, such as universities, but they can also be written in professional settings, such as research organizations, government agencies, or private companies.

Here are some common situations where a person might need to write a research paper:

• For academic purposes: Students in universities and colleges are often required to write research papers as part of their coursework, particularly in the social sciences, natural sciences, and humanities. Writing research papers helps students to develop research skills, critical thinking skills, and academic writing skills.
• For publication: Researchers often write research papers to publish their findings in academic journals or to present their work at academic conferences. Publishing research papers is an important way to disseminate research findings to the academic community and to establish oneself as an expert in a particular field.
• To inform policy or practice : Researchers may write research papers to inform policy decisions or to improve practice in various fields. Research findings can be used to inform the development of policies, guidelines, and best practices that can improve outcomes for individuals and organizations.
• To share new insights or ideas: Researchers may write research papers to share new insights or ideas with the academic or professional community. They may present new theories, propose new research methods, or challenge existing paradigms in their field.

Purpose of Research Paper

The purpose of a research paper is to present the results of a study or investigation in a clear, concise, and structured manner. Research papers are written to communicate new knowledge, ideas, or findings to a specific audience, such as researchers, scholars, practitioners, or policymakers. The primary purposes of a research paper are:

• To contribute to the body of knowledge : Research papers aim to add new knowledge or insights to a particular field or discipline. They do this by reporting the results of empirical studies, reviewing and synthesizing existing literature, proposing new theories, or providing new perspectives on a topic.
• To inform or persuade: Research papers are written to inform or persuade the reader about a particular issue, topic, or phenomenon. They present evidence and arguments to support their claims and seek to persuade the reader of the validity of their findings or recommendations.
• To advance the field: Research papers seek to advance the field or discipline by identifying gaps in knowledge, proposing new research questions or approaches, or challenging existing assumptions or paradigms. They aim to contribute to ongoing debates and discussions within a field and to stimulate further research and inquiry.
• To demonstrate research skills: Research papers demonstrate the author’s research skills, including their ability to design and conduct a study, collect and analyze data, and interpret and communicate findings. They also demonstrate the author’s ability to critically evaluate existing literature, synthesize information from multiple sources, and write in a clear and structured manner.

Characteristics of Research Paper

Research papers have several characteristics that distinguish them from other forms of academic or professional writing. Here are some common characteristics of research papers:

• Evidence-based: Research papers are based on empirical evidence, which is collected through rigorous research methods such as experiments, surveys, observations, or interviews. They rely on objective data and facts to support their claims and conclusions.
• Structured and organized: Research papers have a clear and logical structure, with sections such as introduction, literature review, methods, results, discussion, and conclusion. They are organized in a way that helps the reader to follow the argument and understand the findings.
• Formal and objective: Research papers are written in a formal and objective tone, with an emphasis on clarity, precision, and accuracy. They avoid subjective language or personal opinions and instead rely on objective data and analysis to support their arguments.
• Citations and references: Research papers include citations and references to acknowledge the sources of information and ideas used in the paper. They use a specific citation style, such as APA, MLA, or Chicago, to ensure consistency and accuracy.
• Peer-reviewed: Research papers are often peer-reviewed, which means they are evaluated by other experts in the field before they are published. Peer-review ensures that the research is of high quality, meets ethical standards, and contributes to the advancement of knowledge in the field.
• Objective and unbiased: Research papers strive to be objective and unbiased in their presentation of the findings. They avoid personal biases or preconceptions and instead rely on the data and analysis to draw conclusions.

Advantages of Research Paper

Research papers have many advantages, both for the individual researcher and for the broader academic and professional community. Here are some advantages of research papers:

• Contribution to knowledge: Research papers contribute to the body of knowledge in a particular field or discipline. They add new information, insights, and perspectives to existing literature and help advance the understanding of a particular phenomenon or issue.
• Opportunity for intellectual growth: Research papers provide an opportunity for intellectual growth for the researcher. They require critical thinking, problem-solving, and creativity, which can help develop the researcher’s skills and knowledge.
• Career advancement: Research papers can help advance the researcher’s career by demonstrating their expertise and contributions to the field. They can also lead to new research opportunities, collaborations, and funding.
• Academic recognition: Research papers can lead to academic recognition in the form of awards, grants, or invitations to speak at conferences or events. They can also contribute to the researcher’s reputation and standing in the field.
• Impact on policy and practice: Research papers can have a significant impact on policy and practice. They can inform policy decisions, guide practice, and lead to changes in laws, regulations, or procedures.
• Advancement of society: Research papers can contribute to the advancement of society by addressing important issues, identifying solutions to problems, and promoting social justice and equality.

Limitations of Research Paper

Research papers also have some limitations that should be considered when interpreting their findings or implications. Here are some common limitations of research papers:

• Limited generalizability: Research findings may not be generalizable to other populations, settings, or contexts. Studies often use specific samples or conditions that may not reflect the broader population or real-world situations.
• Potential for bias : Research papers may be biased due to factors such as sample selection, measurement errors, or researcher biases. It is important to evaluate the quality of the research design and methods used to ensure that the findings are valid and reliable.
• Ethical concerns: Research papers may raise ethical concerns, such as the use of vulnerable populations or invasive procedures. Researchers must adhere to ethical guidelines and obtain informed consent from participants to ensure that the research is conducted in a responsible and respectful manner.
• Limitations of methodology: Research papers may be limited by the methodology used to collect and analyze data. For example, certain research methods may not capture the complexity or nuance of a particular phenomenon, or may not be appropriate for certain research questions.
• Publication bias: Research papers may be subject to publication bias, where positive or significant findings are more likely to be published than negative or non-significant findings. This can skew the overall findings of a particular area of research.
• Time and resource constraints: Research papers may be limited by time and resource constraints, which can affect the quality and scope of the research. Researchers may not have access to certain data or resources, or may be unable to conduct long-term studies due to practical limitations.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Research Paper Structure: A Comprehensive Guide

Table of Contents

Writing a research paper is a daunting task, but understanding its structure can make the process more manageable and lead to a well-organized, coherent paper. This article provides a step-by-step approach to crafting a research paper, ensuring your work is not only informative but also structured for maximum impact.

Introduction

In any form of written communication, content structure plays a vital role in facilitating understanding. A well-structured research paper provides a framework that guides readers through the content, ensuring they grasp the main points efficiently. Without a clear structure, readers may become lost or confused, leading to a loss of interest and a failure to comprehend the intended message.

When it comes to research papers, structure is particularly important due to the complexity of the subject matter. Research papers often involve presenting and analyzing large amounts of data, theories, and arguments. Without a well-defined structure, readers may struggle to navigate through this information overload, resulting in a fragmented understanding of the topic.

How Structure Enhances Clarity and Coherence

A well-structured research paper not only helps readers follow the flow of ideas but also enhances the clarity and coherence of the content. By organizing information into sections, paragraphs, and sentences, researchers can present their thoughts logically and systematically. This logical organization allows readers to easily connect ideas, resulting in a more coherent and engaging reading experience.

One way in which structure enhances clarity is by providing a clear roadmap for readers to follow. By dividing the research paper into sections and subsections, researchers can guide readers through the different aspects of the topic. This allows readers to anticipate the flow of information and mentally prepare themselves for the upcoming content.

In addition, a well-structured research paper ensures that each paragraph serves a specific purpose and contributes to the overall argument or analysis. By clearly defining the main idea of each paragraph and providing supporting evidence or examples, researchers can avoid confusion and ensure that their points are effectively communicated.

Moreover, a structured research paper helps researchers maintain a consistent focus throughout their writing. By organizing their thoughts and ideas, researchers can ensure that they stay on track and avoid going off on tangents. This not only improves the clarity of the paper but also helps maintain the reader's interest and engagement.

Components of a Research Paper Structure

Title and abstract: the initial impression.

The title and abstract are the first elements readers encounter when accessing a research paper. The title should be concise, informative, and capture the essence of the study. For example, a title like "Exploring the Impact of Climate Change on Biodiversity in Tropical Rainforests" immediately conveys the subject matter and scope of the research. The abstract, on the other hand, provides a brief overview of the research problem, methodology, and findings, enticing readers to delve further into the paper. In a well-crafted abstract, researchers may highlight key results or implications of the study, giving readers a glimpse into the value of the research.

Introduction: Setting the Stage

The introduction serves as an invitation for readers to engage with the research paper. It should provide background information on the topic, highlight the research problem, and present the research question or thesis statement. By establishing the context and relevance of the study, the introduction piques readers' interest and prepares them for the content to follow. For instance, in a study on the impact of social media on mental health, the introduction may discuss the rise of social media platforms and the growing concerns about its effects on individuals' well-being. This contextual information helps readers understand the significance of the research and why it is worth exploring further.

Furthermore, the introduction may also outline the objectives of the study, stating what the researchers aim to achieve through their research. This helps readers understand the purpose and scope of the study, setting clear expectations for what they can expect to learn from the paper.

Literature Review: Building the Foundation

The literature review is a critical component of a research paper, as it demonstrates the researcher's understanding of existing knowledge and provides a foundation for the study. It involves reviewing and analyzing relevant scholarly articles, books, and other sources to identify gaps in research and establish the need for the current study. In a comprehensive literature review, researchers may summarize key findings from previous studies, identify areas of disagreement or controversy, and highlight the limitations of existing research.

Moreover, the literature review may also discuss theoretical frameworks or conceptual models that have been used in previous studies. By examining these frameworks, researchers can identify the theoretical underpinnings of their study and explain how their research fits within the broader academic discourse. This not only adds depth to the research paper but also helps readers understand the theoretical context in which the study is situated.

Methodology: Detailing the Process

The research design, data collection methods, and analysis techniques used in the study are described in the methodology section. It should be presented clearly and concisely, allowing readers to understand how the research was conducted and evaluated. A well-described methodology ensures the study's reliability and allows other researchers to replicate or build upon the findings.

Within the methodology section, researchers may provide a detailed description of the study population or sample, explaining how participants were selected and why they were chosen. This helps readers understand the generalizability of the findings and the extent to which they can be applied to a broader population.

In addition, researchers may also discuss any ethical considerations that were taken into account during the study. This could include obtaining informed consent from participants, ensuring confidentiality and anonymity, and following ethical guidelines set by relevant professional organizations. By addressing these ethical concerns, researchers demonstrate their commitment to conducting research in an ethical and responsible manner.

Results: Presenting the Findings

The results section represents the study findings. Researchers should organize their results in a logical manner, using tables, graphs, and descriptive statistics to support their conclusions. The results should be presented objectively, without interpretation or analysis. For instance, for a study on the effectiveness of a new drug in treating a specific medical condition, researchers may present the percentage of patients who experienced positive outcomes, along with any statistical significance associated with the results.

In addition to presenting the main findings, researchers may also include supplementary data or sub-analyses that provide further insights into the research question. This could include subgroup analyses, sensitivity analyses, or additional statistical tests that help explore the robustness of the findings.

Discussion: Interpreting the Results

In the discussion section, researchers analyze and interpret the results in light of the research question or thesis statement. This is an opportunity to explore the implications of the findings, compare them with existing literature, and offer insights into the broader significance of the study. The discussion should be supported by evidence and it is advised to avoid speculation.

Researchers may also discuss the limitations of their study, acknowledging any potential biases or confounding factors that may have influenced the results. By openly addressing these limitations, researchers demonstrate their commitment to transparency and scientific rigor.

Conclusion: Wrapping It Up

The conclusion provides a concise summary of the research paper, restating the main findings and their implications. It should also reflect on the significance of the study and suggest potential avenues for future research. A well-written conclusion leaves a lasting impression on readers, highlighting the importance of the research and its potential impact. By summarizing the key takeaways from the study, researchers ensure that readers walk away with a clear understanding of the research's contribution to the field.

Tips for Organizing Your Research Paper

Starting with a strong thesis statement.

A strong and clear thesis statement serves as the backbone of your research paper. It provides focus and direction, guiding the organization of ideas and arguments throughout the paper. Take the time to craft a well-defined thesis statement that encapsulates the core message of your research.

Creating an Outline: The Blueprint of Your Paper

An outline acts as a blueprint for your research paper, ensuring a logical flow of ideas and preventing disorganization. Divide your paper into sections and subsections, noting the main points and supporting arguments for each. This will help you maintain coherence and clarity throughout the writing process.

Balancing Depth and Breadth in Your Paper

When organizing your research paper, strike a balance between delving deeply into specific points and providing a broader overview. While depth is important for thorough analysis, too much detail can overwhelm readers. Consider your target audience and their level of familiarity with the topic to determine the appropriate level of depth and breadth for your paper.

By understanding the importance of research paper structure and implementing effective organizational strategies, researchers can ensure their work is accessible, engaging, and influential. A well-structured research paper not only communicates ideas clearly but also enhances the overall impact of the study. With careful planning and attention to detail, researchers can master the art of structuring their research papers, making them a valuable contribution to their field of study.

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Writing Research Papers

• Research Paper Structure

Whether you are writing a B.S. Degree Research Paper or completing a research report for a Psychology course, it is highly likely that you will need to organize your research paper in accordance with American Psychological Association (APA) guidelines.  Here we discuss the structure of research papers according to APA style.

Major Sections of a Research Paper in APA Style

A complete research paper in APA style that is reporting on experimental research will typically contain a Title page, Abstract, Introduction, Methods, Results, Discussion, and References sections. 1  Many will also contain Figures and Tables and some will have an Appendix or Appendices.  These sections are detailed as follows (for a more in-depth guide, please refer to " How to Write a Research Paper in APA Style ”, a comprehensive guide developed by Prof. Emma Geller). 2

What is this paper called and who wrote it? – the first page of the paper; this includes the name of the paper, a “running head”, authors, and institutional affiliation of the authors.  The institutional affiliation is usually listed in an Author Note that is placed towards the bottom of the title page.  In some cases, the Author Note also contains an acknowledgment of any funding support and of any individuals that assisted with the research project.

One-paragraph summary of the entire study – typically no more than 250 words in length (and in many cases it is well shorter than that), the Abstract provides an overview of the study.

Introduction

What is the topic and why is it worth studying? – the first major section of text in the paper, the Introduction commonly describes the topic under investigation, summarizes or discusses relevant prior research (for related details, please see the Writing Literature Reviews section of this website), identifies unresolved issues that the current research will address, and provides an overview of the research that is to be described in greater detail in the sections to follow.

What did you do? – a section which details how the research was performed.  It typically features a description of the participants/subjects that were involved, the study design, the materials that were used, and the study procedure.  If there were multiple experiments, then each experiment may require a separate Methods section.  A rule of thumb is that the Methods section should be sufficiently detailed for another researcher to duplicate your research.

What did you find? – a section which describes the data that was collected and the results of any statistical tests that were performed.  It may also be prefaced by a description of the analysis procedure that was used. If there were multiple experiments, then each experiment may require a separate Results section.

What is the significance of your results? – the final major section of text in the paper.  The Discussion commonly features a summary of the results that were obtained in the study, describes how those results address the topic under investigation and/or the issues that the research was designed to address, and may expand upon the implications of those findings.  Limitations and directions for future research are also commonly addressed.

List of articles and any books cited – an alphabetized list of the sources that are cited in the paper (by last name of the first author of each source).  Each reference should follow specific APA guidelines regarding author names, dates, article titles, journal titles, journal volume numbers, page numbers, book publishers, publisher locations, websites, and so on (for more information, please see the Citing References in APA Style page of this website).

Tables and Figures

Graphs and data (optional in some cases) – depending on the type of research being performed, there may be Tables and/or Figures (however, in some cases, there may be neither).  In APA style, each Table and each Figure is placed on a separate page and all Tables and Figures are included after the References.   Tables are included first, followed by Figures.   However, for some journals and undergraduate research papers (such as the B.S. Research Paper or Honors Thesis), Tables and Figures may be embedded in the text (depending on the instructor’s or editor’s policies; for more details, see "Deviations from APA Style" below).

Supplementary information (optional) – in some cases, additional information that is not critical to understanding the research paper, such as a list of experiment stimuli, details of a secondary analysis, or programming code, is provided.  This is often placed in an Appendix.

Variations of Research Papers in APA Style

Although the major sections described above are common to most research papers written in APA style, there are variations on that pattern.  These variations include: 

• Literature reviews – when a paper is reviewing prior published research and not presenting new empirical research itself (such as in a review article, and particularly a qualitative review), then the authors may forgo any Methods and Results sections. Instead, there is a different structure such as an Introduction section followed by sections for each of the different aspects of the body of research being reviewed, and then perhaps a Discussion section. 
• Multi-experiment papers – when there are multiple experiments, it is common to follow the Introduction with an Experiment 1 section, itself containing Methods, Results, and Discussion subsections. Then there is an Experiment 2 section with a similar structure, an Experiment 3 section with a similar structure, and so on until all experiments are covered.  Towards the end of the paper there is a General Discussion section followed by References.  Additionally, in multi-experiment papers, it is common for the Results and Discussion subsections for individual experiments to be combined into single “Results and Discussion” sections.

Departures from APA Style

In some cases, official APA style might not be followed (however, be sure to check with your editor, instructor, or other sources before deviating from standards of the Publication Manual of the American Psychological Association).  Such deviations may include:

• Placement of Tables and Figures  – in some cases, to make reading through the paper easier, Tables and/or Figures are embedded in the text (for example, having a bar graph placed in the relevant Results section). The embedding of Tables and/or Figures in the text is one of the most common deviations from APA style (and is commonly allowed in B.S. Degree Research Papers and Honors Theses; however you should check with your instructor, supervisor, or editor first). 
• Incomplete research – sometimes a B.S. Degree Research Paper in this department is written about research that is currently being planned or is in progress. In those circumstances, sometimes only an Introduction and Methods section, followed by References, is included (that is, in cases where the research itself has not formally begun).  In other cases, preliminary results are presented and noted as such in the Results section (such as in cases where the study is underway but not complete), and the Discussion section includes caveats about the in-progress nature of the research.  Again, you should check with your instructor, supervisor, or editor first.
• Class assignments – in some classes in this department, an assignment must be written in APA style but is not exactly a traditional research paper (for instance, a student asked to write about an article that they read, and to write that report in APA style). In that case, the structure of the paper might approximate the typical sections of a research paper in APA style, but not entirely.  You should check with your instructor for further guidelines.

Workshops and Downloadable Resources

• For in-person discussion of the process of writing research papers, please consider attending this department’s “Writing Research Papers” workshop (for dates and times, please check the undergraduate workshops calendar).

Downloadable Resources

• How to Write APA Style Research Papers (a comprehensive guide) [ PDF ]
• Tips for Writing APA Style Research Papers (a brief summary) [ PDF ]
• Example APA Style Research Paper (for B.S. Degree – empirical research) [ PDF ]
• Example APA Style Research Paper (for B.S. Degree – literature review) [ PDF ]

Further Resources

How-To Videos     

• Writing Research Paper Videos

APA Journal Article Reporting Guidelines

• Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M., & Rao, S. M. (2018). Journal article reporting standards for quantitative research in psychology: The APA Publications and Communications Board task force report . American Psychologist , 73 (1), 3.
• Levitt, H. M., Bamberg, M., Creswell, J. W., Frost, D. M., Josselson, R., & Suárez-Orozco, C. (2018). Journal article reporting standards for qualitative primary, qualitative meta-analytic, and mixed methods research in psychology: The APA Publications and Communications Board task force report . American Psychologist , 73 (1), 26.  

External Resources

• Formatting APA Style Papers in Microsoft Word
• How to Write an APA Style Research Paper from Hamilton University
• WikiHow Guide to Writing APA Research Papers
• Sample APA Formatted Paper with Comments
• Sample APA Formatted Paper
• Tips for Writing a Paper in APA Style

1 VandenBos, G. R. (Ed). (2010). Publication manual of the American Psychological Association (6th ed.) (pp. 41-60).  Washington, DC: American Psychological Association.

2 geller, e. (2018).  how to write an apa-style research report . [instructional materials]. , prepared by s. c. pan for ucsd psychology.

Back to top  

• Formatting Research Papers
• Using Databases and Finding References
• What Types of References Are Appropriate?
• Evaluating References and Taking Notes
• Citing References
• Writing a Literature Review
• Writing Process and Revising
• Improving Scientific Writing
• Academic Integrity and Avoiding Plagiarism
• Writing Research Papers Videos

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13.1 Formatting a Research Paper

Learning objectives.

• Identify the major components of a research paper written using American Psychological Association (APA) style.
• Apply general APA style and formatting conventions in a research paper.

In this chapter, you will learn how to use APA style , the documentation and formatting style followed by the American Psychological Association, as well as MLA style , from the Modern Language Association. There are a few major formatting styles used in academic texts, including AMA, Chicago, and Turabian:

• AMA (American Medical Association) for medicine, health, and biological sciences
• APA (American Psychological Association) for education, psychology, and the social sciences
• Chicago—a common style used in everyday publications like magazines, newspapers, and books
• MLA (Modern Language Association) for English, literature, arts, and humanities
• Turabian—another common style designed for its universal application across all subjects and disciplines

While all the formatting and citation styles have their own use and applications, in this chapter we focus our attention on the two styles you are most likely to use in your academic studies: APA and MLA.

If you find that the rules of proper source documentation are difficult to keep straight, you are not alone. Writing a good research paper is, in and of itself, a major intellectual challenge. Having to follow detailed citation and formatting guidelines as well may seem like just one more task to add to an already-too-long list of requirements.

Following these guidelines, however, serves several important purposes. First, it signals to your readers that your paper should be taken seriously as a student’s contribution to a given academic or professional field; it is the literary equivalent of wearing a tailored suit to a job interview. Second, it shows that you respect other people’s work enough to give them proper credit for it. Finally, it helps your reader find additional materials if he or she wishes to learn more about your topic.

Furthermore, producing a letter-perfect APA-style paper need not be burdensome. Yes, it requires careful attention to detail. However, you can simplify the process if you keep these broad guidelines in mind:

• Work ahead whenever you can. Chapter 11 “Writing from Research: What Will I Learn?” includes tips for keeping track of your sources early in the research process, which will save time later on.
• Get it right the first time. Apply APA guidelines as you write, so you will not have much to correct during the editing stage. Again, putting in a little extra time early on can save time later.
• Use the resources available to you. In addition to the guidelines provided in this chapter, you may wish to consult the APA website at http://www.apa.org or the Purdue University Online Writing lab at http://owl.english.purdue.edu , which regularly updates its online style guidelines.

General Formatting Guidelines

This chapter provides detailed guidelines for using the citation and formatting conventions developed by the American Psychological Association, or APA. Writers in disciplines as diverse as astrophysics, biology, psychology, and education follow APA style. The major components of a paper written in APA style are listed in the following box.

These are the major components of an APA-style paper:

Body, which includes the following:

• Headings and, if necessary, subheadings to organize the content
• In-text citations of research sources
• References page

All these components must be saved in one document, not as separate documents.

The title page of your paper includes the following information:

• Title of the paper
• Author’s name
• Name of the institution with which the author is affiliated
• Header at the top of the page with the paper title (in capital letters) and the page number (If the title is lengthy, you may use a shortened form of it in the header.)

List the first three elements in the order given in the previous list, centered about one third of the way down from the top of the page. Use the headers and footers tool of your word-processing program to add the header, with the title text at the left and the page number in the upper-right corner. Your title page should look like the following example.

The next page of your paper provides an abstract , or brief summary of your findings. An abstract does not need to be provided in every paper, but an abstract should be used in papers that include a hypothesis. A good abstract is concise—about one hundred fifty to two hundred fifty words—and is written in an objective, impersonal style. Your writing voice will not be as apparent here as in the body of your paper. When writing the abstract, take a just-the-facts approach, and summarize your research question and your findings in a few sentences.

In Chapter 12 “Writing a Research Paper” , you read a paper written by a student named Jorge, who researched the effectiveness of low-carbohydrate diets. Read Jorge’s abstract. Note how it sums up the major ideas in his paper without going into excessive detail.

Write an abstract summarizing your paper. Briefly introduce the topic, state your findings, and sum up what conclusions you can draw from your research. Use the word count feature of your word-processing program to make sure your abstract does not exceed one hundred fifty words.

Depending on your field of study, you may sometimes write research papers that present extensive primary research, such as your own experiment or survey. In your abstract, summarize your research question and your findings, and briefly indicate how your study relates to prior research in the field.

Margins, Pagination, and Headings

APA style requirements also address specific formatting concerns, such as margins, pagination, and heading styles, within the body of the paper. Review the following APA guidelines.

Use these general guidelines to format the paper:

• Set the top, bottom, and side margins of your paper at 1 inch.
• Use double-spaced text throughout your paper.
• Use a standard font, such as Times New Roman or Arial, in a legible size (10- to 12-point).
• Use continuous pagination throughout the paper, including the title page and the references section. Page numbers appear flush right within your header.
• Section headings and subsection headings within the body of your paper use different types of formatting depending on the level of information you are presenting. Additional details from Jorge’s paper are provided.

Begin formatting the final draft of your paper according to APA guidelines. You may work with an existing document or set up a new document if you choose. Include the following:

• Your title page
• The abstract you created in Note 13.8 “Exercise 1”
• Correct headers and page numbers for your title page and abstract

APA style uses section headings to organize information, making it easy for the reader to follow the writer’s train of thought and to know immediately what major topics are covered. Depending on the length and complexity of the paper, its major sections may also be divided into subsections, sub-subsections, and so on. These smaller sections, in turn, use different heading styles to indicate different levels of information. In essence, you are using headings to create a hierarchy of information.

The following heading styles used in APA formatting are listed in order of greatest to least importance:

• Section headings use centered, boldface type. Headings use title case, with important words in the heading capitalized.
• Subsection headings use left-aligned, boldface type. Headings use title case.
• The third level uses left-aligned, indented, boldface type. Headings use a capital letter only for the first word, and they end in a period.
• The fourth level follows the same style used for the previous level, but the headings are boldfaced and italicized.
• The fifth level follows the same style used for the previous level, but the headings are italicized and not boldfaced.

Visually, the hierarchy of information is organized as indicated in Table 13.1 “Section Headings” .

Table 13.1 Section Headings

A college research paper may not use all the heading levels shown in Table 13.1 “Section Headings” , but you are likely to encounter them in academic journal articles that use APA style. For a brief paper, you may find that level 1 headings suffice. Longer or more complex papers may need level 2 headings or other lower-level headings to organize information clearly. Use your outline to craft your major section headings and determine whether any subtopics are substantial enough to require additional levels of headings.

Working with the document you developed in Note 13.11 “Exercise 2” , begin setting up the heading structure of the final draft of your research paper according to APA guidelines. Include your title and at least two to three major section headings, and follow the formatting guidelines provided above. If your major sections should be broken into subsections, add those headings as well. Use your outline to help you.

Because Jorge used only level 1 headings, his Exercise 3 would look like the following:

Citation Guidelines

In-text citations.

Throughout the body of your paper, include a citation whenever you quote or paraphrase material from your research sources. As you learned in Chapter 11 “Writing from Research: What Will I Learn?” , the purpose of citations is twofold: to give credit to others for their ideas and to allow your reader to follow up and learn more about the topic if desired. Your in-text citations provide basic information about your source; each source you cite will have a longer entry in the references section that provides more detailed information.

In-text citations must provide the name of the author or authors and the year the source was published. (When a given source does not list an individual author, you may provide the source title or the name of the organization that published the material instead.) When directly quoting a source, it is also required that you include the page number where the quote appears in your citation.

This information may be included within the sentence or in a parenthetical reference at the end of the sentence, as in these examples.

Epstein (2010) points out that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (p. 137).

Here, the writer names the source author when introducing the quote and provides the publication date in parentheses after the author’s name. The page number appears in parentheses after the closing quotation marks and before the period that ends the sentence.

Addiction researchers caution that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (Epstein, 2010, p. 137).

Here, the writer provides a parenthetical citation at the end of the sentence that includes the author’s name, the year of publication, and the page number separated by commas. Again, the parenthetical citation is placed after the closing quotation marks and before the period at the end of the sentence.

As noted in the book Junk Food, Junk Science (Epstein, 2010, p. 137), “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive.”

Here, the writer chose to mention the source title in the sentence (an optional piece of information to include) and followed the title with a parenthetical citation. Note that the parenthetical citation is placed before the comma that signals the end of the introductory phrase.

David Epstein’s book Junk Food, Junk Science (2010) pointed out that “junk food cannot be considered addictive in the same way that we think of psychoactive drugs as addictive” (p. 137).

Another variation is to introduce the author and the source title in your sentence and include the publication date and page number in parentheses within the sentence or at the end of the sentence. As long as you have included the essential information, you can choose the option that works best for that particular sentence and source.

Citing a book with a single author is usually a straightforward task. Of course, your research may require that you cite many other types of sources, such as books or articles with more than one author or sources with no individual author listed. You may also need to cite sources available in both print and online and nonprint sources, such as websites and personal interviews. Chapter 13 “APA and MLA Documentation and Formatting” , Section 13.2 “Citing and Referencing Techniques” and Section 13.3 “Creating a References Section” provide extensive guidelines for citing a variety of source types.

Writing at Work

APA is just one of several different styles with its own guidelines for documentation, formatting, and language usage. Depending on your field of interest, you may be exposed to additional styles, such as the following:

• MLA style. Determined by the Modern Languages Association and used for papers in literature, languages, and other disciplines in the humanities.
• Chicago style. Outlined in the Chicago Manual of Style and sometimes used for papers in the humanities and the sciences; many professional organizations use this style for publications as well.
• Associated Press (AP) style. Used by professional journalists.

References List

The brief citations included in the body of your paper correspond to the more detailed citations provided at the end of the paper in the references section. In-text citations provide basic information—the author’s name, the publication date, and the page number if necessary—while the references section provides more extensive bibliographical information. Again, this information allows your reader to follow up on the sources you cited and do additional reading about the topic if desired.

The specific format of entries in the list of references varies slightly for different source types, but the entries generally include the following information:

• The name(s) of the author(s) or institution that wrote the source
• The year of publication and, where applicable, the exact date of publication
• The full title of the source
• For books, the city of publication
• For articles or essays, the name of the periodical or book in which the article or essay appears
• For magazine and journal articles, the volume number, issue number, and pages where the article appears
• For sources on the web, the URL where the source is located

The references page is double spaced and lists entries in alphabetical order by the author’s last name. If an entry continues for more than one line, the second line and each subsequent line are indented five spaces. Review the following example. ( Chapter 13 “APA and MLA Documentation and Formatting” , Section 13.3 “Creating a References Section” provides extensive guidelines for formatting reference entries for different types of sources.)

In APA style, book and article titles are formatted in sentence case, not title case. Sentence case means that only the first word is capitalized, along with any proper nouns.

Key Takeaways

• Following proper citation and formatting guidelines helps writers ensure that their work will be taken seriously, give proper credit to other authors for their work, and provide valuable information to readers.
• Working ahead and taking care to cite sources correctly the first time are ways writers can save time during the editing stage of writing a research paper.
• APA papers usually include an abstract that concisely summarizes the paper.
• APA papers use a specific headings structure to provide a clear hierarchy of information.
• In APA papers, in-text citations usually include the name(s) of the author(s) and the year of publication.
• In-text citations correspond to entries in the references section, which provide detailed bibliographical information about a source.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

• Research Guides

BSCI 1510L Literature and Stats Guide: 3.2 Components of a scientific paper

• 1 What is a scientific paper?
• 2 Referencing and accessing papers
• 2.1 Literature Cited
• 2.2 Accessing Scientific Papers
• 2.3 Traversing the web of citations
• 2.4 Keyword Searches
• 3 Style of scientific writing
• 3.1 Specific details regarding scientific writing

3.2 Components of a scientific paper

• 4 Summary of the Writing Guide and Further Information
• Appendix A: Calculation Final Concentrations
• 1 Formulas in Excel
• 2 Basic operations in Excel
• 3 Measurement and Variation
• 3.1 Describing Quantities and Their Variation
• 3.2 Samples Versus Populations
• 3.3 Calculating Descriptive Statistics using Excel
• 4 Variation and differences
• 5 Differences in Experimental Science
• 5.1 Aside: Commuting to Nashville
• 5.2 P and Detecting Differences in Variable Quantities
• 5.3 Statistical significance
• 5.4 A test for differences of sample means: 95% Confidence Intervals
• 5.5 Error bars in figures
• 5.6 Discussing statistics in your scientific writing
• 6 Scatter plot, trendline, and linear regression
• 7 The t-test of Means
• 8 Paired t-test
• 9 Two-Tailed and One-Tailed Tests
• 10 Variation on t-tests: ANOVA
• 11 Reporting the Results of a Statistical Test
• 12 Summary of statistical tests
• 1 Objectives
• 2 Project timeline
• 3 Background
• 4 Previous work in the BSCI 111 class
• 5 General notes about the project
• 6 About the paper
• 7 References

Nearly all journal articles are divided into the following major sections: abstract, introduction, methods, results, discussion, and references or literature cited.   Usually the sections are labeled as such, although often the introduction (and sometimes the abstract) is not labeled.  Sometimes alternative section titles are used.  The abstract is sometimes called the "summary", the methods are sometimes called "materials and methods", and the discussion is sometimes called "conclusions".   Some journals also include the minor sections of "key words" following the abstract, and "acknowledgments" following the discussion.  In some journals, the sections may be divided into subsections that are given descriptive titles.  However, the general division into the six major sections is nearly universal.

3.2.1 Abstract

The abstract is a short summary (150-200 words or less) of the important points of the paper.  It does not generally include background information.  There may be a very brief statement of the rationale for conducting the study.  It describes what was done, but without details.  It also describes the results in a summarized way that usually includes whether or not the statistical tests were significant.  It usually concludes with a brief statement of the importance of the results.  Abstracts do not include references.  When writing a paper, the abstract is always the last part to be written.

The purpose of the abstract is to allow potential readers of a paper to find out the important points of the paper without having to actually read the paper.  It should be a self-contained unit capable of being understood without the benefit of the text of the article . It essentially serves as an "advertisement" for the paper that readers use to determine whether or not they actually want to wade through the entire paper or not.  Abstracts are generally freely available in electronic form and are often presented in the results of an electronic search.  If searchers do not have electronic access to the journal in which the article is published, the abstract is the only means that they have to decide whether to go through the effort (going to the library to look up the paper journal, requesting a reprint from the author, buying a copy of the article from a service, requesting the article by Interlibrary Loan) of acquiring the article.  Therefore it is important that the abstract accurately and succinctly presents the most important information in the article.

3.2.2 Introduction

The introduction section of a paper provides the background information necessary to understand why the described experiment was conducted.  The introduction should describe previous research on the topic that has led to the unanswered questions being addressed by the experiment and should cite important previous papers that form the background for the experiment.  The introduction should also state in an organized fashion the goals of the research, i.e. the particular, specific questions that will be tested in the experiments.  There should be a one-to-one correspondence between questions raised in the introduction and points discussed in the conclusion section of the paper.  In other words, do not raise questions in the introduction unless you are going to have some kind of answer to the question that you intend to discuss at the end of the paper. 

You may have been told that every paper must have a hypothesis that can be clearly stated.  That is often true, but not always.  If your experiment involves a manipulation which tests a specific hypothesis, then you should clearly state that hypothesis.  On the other hand, if your experiment was primarily exploratory, descriptive, or measurative, then you probably did not have an  a priori  hypothesis, so don't pretend that you did and make one up.  (See the discussion in the introduction to Experiment 5 for more on this.)  If you state a hypothesis in the introduction, it should be a general hypothesis and not a null or alternative hypothesis for a statistical test.  If it is necessary to explain how a statistical test will help you evaluate your general hypothesis, explain that in the methods section. 

A good introduction should be fairly heavy with citations.  This indicates to the reader that the authors are informed about previous work on the topic and are not working in a vacuum.  Citations also provide jumping-off points to allow the reader to explore other tangents to the subject that are not directly addressed in the paper.  If the paper supports or refutes previous work, readers can look up the citations and make a comparison for themselves. 

"Do not get lost in reviewing background information. Remember that the Introduction is meant to introduce the reader to your research, not summarize and evaluate all past literature on the subject (which is the purpose of a review paper). Many of the other studies you may be tempted to discuss in your Introduction are better saved for the Discussion, where they become a powerful tool for comparing and interpreting your results. Include only enough background information to allow your reader to understand why you are asking the questions you are and why your hypotheses are reasonable ones. Often, a brief explanation of the theory involved is sufficient.

Write this section in the past or present tense, never in the future. " (Steingraber et al. 1985)

In other words, the introduction section relates what the topic being investigated is, why it is important, what research (if any) has been done prior that is relevant to what you are trying to do, and in what ways you will be looking into this topic.

An example to think about:

This is an example of a student-derived introduction.  Read the paragraph and before you go beyond, think about the paragraph first.

"Hand-washing is one of the most effective and simplest of ways to reduce infection and disease, and thereby causing less death.  When examining the effects of soap on hands, it was the work of Sickbert-Bennett and colleagues (2005) that showed that using soap or an alcohol on the hands during hand-washing was a significant effect in removing bacteria from the human hand.  Based on the work of this, the team led by Larsen (1991) then showed that the use of computer imaging could be a more effective way to compare the amount of bacteria on a hand."

There are several aspects within this "introduction" that could use improvement.  A group of any random 4 of you could easily come up with at 10 different things to reword, revise, expand upon.

In specific, there should be one thing addressed that more than likely you did not catch when you were reading it.

The citations: Not the format, but the logical use of them.

Look again. "...the work of Sickbert-Bennett...(2005)" and then "Based on the work of this, the team led by Larsen (1991)..."

How can someone in 1991 use or base their work on something from 2005?

They cannot.  You can spend an entire hour using spellcheck and reading through and through again to find all the little things to "give it more oomph", but at the core, you still must present a clear and concise and logical thought-process.

3.2.3 Methods (taken mostly verbatim from Steingraber et al. 1985, until the version A, B,C portion)

The function of the methods section is to describe all experimental procedures, including controls.  The description should be complete enough to enable someone else to repeat your work.  If there is more than one part to the experiment, it is a good idea to describe your methods and present your results in the same order in each section. This may not be the same order in which the experiments were performed -it is up to you to decide what order of presentation will make the most sense to your reader.

1.  Explain why each procedure was done, i.e., what variable were you measuring and why? Example:

Difficult to understand :  First, I removed the frog muscle and then I poured Ringer’s solution on it. Next, I attached it to the kymograph.

Improved:   I removed the frog muscle and poured Ringer’s solution on it to prevent it from drying out. I then attached the muscle to the kymograph in order to determine the minimum voltage required for contraction.

Better:   Frog muscle was excised between attachment points to the bone. Ringer's solution was added to the excised section to prevent drying out. The muscle was attached to the kymograph in order to determine the minimum voltage required for contraction.

2.  Experimental procedures and results are narrated in the past tense (what you did, what you found, etc.) whereas conclusions from your results are given in the present tense.

3.  Mathematical equations and statistical tests are considered mathematical methods and should be described in this section along with the actual experimental work. (Show a sample calculation, state the type of test(s) performed and program used)

4.  Use active rather than passive voice when possible.  [Note: see Section 3.1.4 for more about this.]  Always use the singular "I" rather than the plural "we" when you are the only author of the paper (Methods section only).  Throughout the paper, avoid contractions, e.g. did not vs. didn’t.

5.  If any of your methods is fully described in a previous publication (yours or someone else’s), you can cite work that instead of describing the procedure again.

Example:  The chromosomes were counted at meiosis in the anthers with the standard acetocarmine technique of Snow (1955).

Below is a PARTIAL and incomplete version of a "method".  Without getting into the details of why, Version A and B are bad.  A is missing too many details and B is giving some extra details but not giving some important ones, such as the volumes used.  Version C is still not complete, but it is at least a viable method. Notice that C is also not the longest....it is possible to be detailed without being long-winded.

In other words, the methods section is what you did in the experiment and has enough details that someone else can repeat your experiment.  If the methods section has excluded one or more important detail(s) such that the reader of the method does not know what happened, it is a 'poor' methods section.  Similarly, by giving out too many useless details a methods section can be 'poor'.

You may have multiple sub-sections within your methods (i.e., a section for media preparation, a section for where the chemicals came from, a section for the basic physical process that occurred, etc.,).  A methods section is  NEVER  a list of numbered steps.

3.2.4 Results (with excerpts from Steingraber et al. 1985)

The function of this section is to summarize general trends in the data without comment, bias, or interpretation. The results of statistical tests applied to your data are reported in this section although conclusions about your original hypotheses are saved for the Discussion section. In other words, you state "the P-value" in Results and whether below/above 0.05 and thus significant/not significant while in the Discussion you restate the P-value and then formally state what that means beyond "significant/not significant".

Tables and figures  should be used  when they are a more efficient way to convey information than verbal description. They must be independent units, accompanied by explanatory captions that allow them to be understood by someone who has not read the text. Do not repeat in the text the information in tables and figures, but do cite them, with a summary statement when that is appropriate.  Example:

Incorrect:   The results are given in Figure 1.

Correct:   Temperature was directly proportional to metabolic rate (Fig. 1).

Please note that the entire word "Figure" is almost never written in an article.  It is nearly always abbreviated as "Fig." and capitalized.  Tables are cited in the same way, although Table is not abbreviated.

Whenever possible, use a figure instead of a table. Relationships between numbers are more readily grasped when they are presented graphically rather than as columns in a table.

Data may be presented in figures and tables, but this may not substitute for a verbal summary of the findings. The text should be  understandable  by someone who has not seen your figures and tables.

1.  All results should be presented, including those that do not support the hypothesis.

2.  Statements made in the text must be supported by the results contained in figures and tables.

3.  The results of statistical tests can be presented in parentheses following a verbal description.

Example: Fruit size was significantly greater in trees growing alone (t = 3.65, df = 2, p < 0.05).

Simple results of statistical tests may be reported in the text as shown in the preceding example.  The results of multiple tests may be reported in a table if that increases clarity. (See Section 11 of the Statistics Manual for more details about reporting the results of statistical tests.)  It is not necessary to provide a citation for a simple t-test of means, paired t-test, or linear regression.  If you use other more complex (or less well-known) tests, you should cite the text or reference you followed to do the test.  In your materials and methods section, you should report how you did the test (e.g. using the statistical analysis package of Excel). 

It is NEVER appropriate to simply paste the results from statistical software into the results section of your paper.   The output generally reports more information than is required and it is not in an appropriate format for a paper. Similar, do NOT place a screenshot.  

Should you include every data point or not in the paper?  Prior to 2010 or so, most papers would probably not present the actual raw data collected, but rather show the "descriptive statistics" about their data (mean, SD, SE, CI, etc.). Often, people could simply contact the author(s) for the data and go from there.  As many journals have a significant on-line footprint now, it has become increasingly more common that the entire data could be included in the paper.  And realize why the entire raw data may not have been included in a publication. Prior to about 2010, your publication had limited  paper space  to be seen on.  If you have a sample of size of 10 or 50, you probably could show the entire data set easily in one table/figure and it not take up too much printed space. If your sample size was 500 or 5,000 or more, the size of the data alone would take pages of printed text.  Given how much the Internet and on-line publications have improved/increased in storage space, often now there will be either an embedded file to access or the author(s) will place the file on-line somewhere with an address link, such as GitHub.  Videos of the experiment are also shown as well now.

3.2.4.1 Tables

• Do not repeat information in a table that you are depicting in a graph or histogram; include a table only if it presents new information.
• It is easier to compare numbers by reading down a column rather than across a row. Therefore, list sets of data you want your reader to compare in vertical form.
• Provide each table with a number (Table 1, Table 2, etc.) and a title. The numbered title is placed above the table .
• Please see Section 11 of the Excel Reference and Statistics Manual for further information on reporting the results of statistical tests.

3.2.4.2. Figures

• These comprise graphs, histograms, and illustrations, both drawings and photographs. Provide each figure with a number (Fig. 1, Fig. 2, etc.) and a caption (or "legend") that explains what the figure shows. The numbered caption is placed below the figure .  Figure legend = Figure caption.
• Figures submitted for publication must be "photo ready," i.e., they will appear just as you submit them, or photographically reduced. Therefore, when you graduate from student papers to publishable manuscripts, you must learn to prepare figures that will not embarrass you. At the present time, virtually all journals require manuscripts to be submitted electronically and it is generally assumed that all graphs and maps will be created using software rather than being created by hand.  Nearly all journals have specific guidelines for the file types, resolution, and physical widths required for figures.  Only in a few cases (e.g. sketched diagrams) would figures still be created by hand using ink and those figures would be scanned and labeled using graphics software.  Proportions must be the same as those of the page in the journal to which the paper will be submitted. 
• Graphs and Histograms: Both can be used to compare two variables. However, graphs show continuous change, whereas histograms show discrete variables only.  You can compare groups of data by plotting two or even three lines on one graph, but avoid cluttered graphs that are hard to read, and do not plot unrelated trends on the same graph. For both graphs, and histograms, plot the independent variable on the horizontal (x) axis and the dependent variable on the vertical (y) axis. Label both axes, including units of measurement except in the few cases where variables are unitless, such as absorbance.
• Drawings and Photographs: These are used to illustrate organisms, experimental apparatus, models of structures, cellular and subcellular structure, and results of procedures like electrophoresis. Preparing such figures well is a lot of work and can be very expensive, so each figure must add enough to justify its preparation and publication, but good figures can greatly enhance a professional article, as your reading in biological journals has already shown.

3.2.5 Discussion (modified; taken from Steingraber et al. 1985)

The function of this section is to analyze the data and relate them to other studies. To "analyze" means to evaluate the meaning of your results in terms of the original question or hypothesis and point out their biological significance.

1. The Discussion should contain at least:

• the relationship between the results and the original hypothesis, i.e., whether they support the hypothesis, or cause it to be rejected or modified
• an integration of your results with those of previous studies in order to arrive at explanations for the observed phenomena
• possible explanations for unexpected results and observations, phrased as hypotheses that can be tested by realistic experimental procedures, which you should describe

2. Trends that are not statistically significant can still be discussed if they are suggestive or interesting, but cannot be made the basis for conclusions as if they were significant.

3. Avoid redundancy between the Results and the Discussion section. Do not repeat detailed descriptions of the data and results in the Discussion. In some journals, Results and Discussions are joined in a single section, in order to permit a single integrated treatment with minimal repetition. This is more appropriate for short, simple articles than for longer, more complicated ones.

4.  End the Discussion with a summary of the principal points you want the reader to remember. This is also the appropriate place to propose specific further study if that will serve some purpose,  but do not end with the tired cliché  that "this problem needs more study." All problems in biology need more study. Do not close on what you wish you had done, rather finish stating your conclusions and contributions.

5.  Conclusion section.  Primarily dependent upon the complexity and depth of an experiment, there may be a formal conclusion section after the discussion section. In general, the last line or so of the discussion section should be a more or less summary statement of the overall finding of the experiment.  IF the experiment was large enough/complex enough/multiple findings uncovered, a distinct paragraph (or two) may be needed to help clarify the findings.  Again, only if the experiment scale/findings warrant a separate conclusion section.

3.2.6 Title

The title of the paper should be the last thing that you write.  That is because it should distill the essence of the paper even more than the abstract (the next to last thing that you write). 

The title should contain three elements:

1. the name of the organism studied;

2. the particular aspect or system studied;

3. the variable(s) manipulated.

Do not be afraid to be grammatically creative. Here are some variations on a theme, all suitable as titles:

THE EFFECT OF TEMPERATURE ON GERMINATION OF ZEA MAYS

DOES TEMPERATURE AFFECT GERMINATION OF ZEA MAYS?

TEMPERATURE AND ZEA MAYS GERMINATION: IMPLICATIONS FOR AGRICULTURE

Sometimes it is possible to include the principal result or conclusion in the title:

HIGH TEMPERATURES REDUCE GERMINATION OF ZEA MAYS

Note for the BSCI 1510L class: to make your paper look more like a real paper, you can list all of the other group members as co-authors.  However, if you do that, you should list you name first so that we know that you wrote it.

3.2.7 Literature Cited

Please refer to section 2.1 of this guide.

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Structure of a Research Paper

Structure of a Research Paper: IMRaD Format

I. The Title Page

• Title: Tells the reader what to expect in the paper.
• Author(s): Most papers are written by one or two primary authors. The remaining authors have reviewed the work and/or aided in study design or data analysis (International Committee of Medical Editors, 1997). Check the Instructions to Authors for the target journal for specifics about authorship.
• Keywords [according to the journal]
• Corresponding Author: Full name and affiliation for the primary contact author for persons who have questions about the research.
• Financial & Equipment Support [if needed]: Specific information about organizations, agencies, or companies that supported the research.
• Conflicts of Interest [if needed]: List and explain any conflicts of interest.

II. Abstract: “Structured abstract” has become the standard for research papers (introduction, objective, methods, results and conclusions), while reviews, case reports and other articles have non-structured abstracts. The abstract should be a summary/synopsis of the paper.

III. Introduction: The “why did you do the study”; setting the scene or laying the foundation or background for the paper.

IV. Methods: The “how did you do the study.” Describe the --

• Context and setting of the study
• Specify the study design
• Population (patients, etc. if applicable)
• Sampling strategy
• Intervention (if applicable)
• Identify the main study variables
• Data collection instruments and procedures
• Outline analysis methods

V. Results: The “what did you find” --

• Report on data collection and/or recruitment
• Participants (demographic, clinical condition, etc.)
• Present key findings with respect to the central research question
• Secondary findings (secondary outcomes, subgroup analyses, etc.)

VI. Discussion: Place for interpreting the results

• Main findings of the study
• Discuss the main results with reference to previous research
• Policy and practice implications of the results
• Strengths and limitations of the study

VII. Conclusions: [occasionally optional or not required]. Do not reiterate the data or discussion. Can state hunches, inferences or speculations. Offer perspectives for future work.

VIII. Acknowledgements: Names people who contributed to the work, but did not contribute sufficiently to earn authorship. You must have permission from any individuals mentioned in the acknowledgements sections. 

IX. References:  Complete citations for any articles or other materials referenced in the text of the article.

• IMRD Cheatsheet (Carnegie Mellon) pdf.
• Adewasi, D. (2021 June 14).  What Is IMRaD? IMRaD Format in Simple Terms! . Scientific-editing.info. 
• Nair, P.K.R., Nair, V.D. (2014). Organization of a Research Paper: The IMRAD Format. In: Scientific Writing and Communication in Agriculture and Natural Resources. Springer, Cham. https://doi.org/10.1007/978-3-319-03101-9_2
• Sollaci, L. B., & Pereira, M. G. (2004). The introduction, methods, results, and discussion (IMRAD) structure: a fifty-year survey.   Journal of the Medical Library Association : JMLA ,  92 (3), 364–367.
• Cuschieri, S., Grech, V., & Savona-Ventura, C. (2019). WASP (Write a Scientific Paper): Structuring a scientific paper.   Early human development ,  128 , 114–117. https://doi.org/10.1016/j.earlhumdev.2018.09.011

Apr 26, 2024

Everything You Need to Know about the Parts of a Research Paper

Not sure where to start with your research paper or how all the parts fit together? Don't worry! From crafting a compelling title page to compiling your references, we'll demystify each section of a research paper.

Learn how to write an attention-grabbing abstract, construct a powerful introduction, and confidently present your results and discussion. With this guide, you'll gain the tools to assemble a polished and impactful piece of work.

What Are Research Papers?

A research paper is a piece of academic writing that presents an original argument or analysis based on independent, in-depth investigation into a specific topic.

Key Characteristics:

Evidence-Driven: Research papers rely on data, analysis, and interpretation of credible sources.

Focused Argument: They develop a clear thesis that is defended with logical reasoning and evidence.

Structured: Research papers follow specific organizational formats and citation styles.

Contribution to Knowledge: They aim to add something new to the existing body of knowledge within a field.

Types of Research Papers

Research papers come in various forms across academic disciplines:

Argumentative Papers : Present a compelling claim and utilize evidence to persuade readers.

Analytical Papers : Break down complex subjects, ideas, or texts, examining their components and implications.

Empirical Studies: Involve collecting and analyzing original data (through experiments, surveys, etc.) to answer specific research questions.

Literature Reviews: Synthesize existing research on a topic, highlighting key findings, debates, and areas for future exploration.

And More! Depending on the field, you may encounter case studies, reports, theoretical proposals, etc.

Defining Research Papers

Here's how research papers stand apart from other forms of writing:

Originality vs. Summary: While essays might recap existing knowledge, research papers offer new insights, arguments, or data.

Depth of Inquiry: Research papers delve deeper, going beyond basic definitions or summaries into a systematic investigation.

Scholarly Audience: Research papers are often written with a specialized academic audience in mind, employing discipline-specific language and conventions.

Important Note: The specific requirements of research papers can vary depending on the subject area, level of study (undergraduate vs. graduate), and the instructor's instructions.

Importance of Research Paper Structure

Think of structure as the backbone of your research paper. Here's why it matters for academic success:

Clarity for the Reader: A logical structure guides the reader through your research journey. They understand your thought process, easily follow your arguments, and grasp the significance of your findings.

Author's Roadmap: Structure serves as your blueprint. It helps you maintain focus, ensures you address all essential elements, and prevents you from veering off-topic.

Enhanced Persuasion: A well-structured paper builds a convincing case. Your ideas flow logically, evidence supports your claims, and your conclusion feels grounded and impactful.

Demonstration of Competence: A clear structure signals to your instructor or peers that you have a thorough understanding of research practices and scholarly writing conventions.

Is a Structured Approach Critical for the Success of Research Papers?

Yes! It's difficult to overstate the importance of structure. Here's why:

Lost in Chaos: Rambling or disorganized papers leave the reader confused and frustrated. Even the most insightful findings risk being overlooked if presented poorly.

Missed Components: Without structure, you might forget to include critical aspects, like a clear methodology section or a thorough literature review, weakening your research.

Hindered Peer Review: Reviewers rely on a standard structure to quickly assess the research's merits. A deviation can make their job harder and might negatively affect how your work is evaluated.

Benefits of a Clear Structure

Enhanced Understanding: Readers can easily follow your chain of reasoning, grasp the connection between your evidence and claims, and critically evaluate your findings.

Efficient Peer Review: A standard structure makes peer review more efficient and focused. Reviewers can easily identify strong points, areas for improvement, and contributions to the field.

Streamlined Writing: Having a structure offers clarity and direction, preventing you from getting stuck mid-flow or overlooking important elements.

Variations of Research Papers

Here's a breakdown of some common types of research papers:

Analytical Papers

Focus: Dissect a complex subject, text, or phenomenon to understand its parts, implications, or underlying meanings.

Structure: Emphasizes a clear thesis statement, systematic analysis, and in-depth exploration of different perspectives.

Example: Examining the symbolism in a literary work or analyzing the economic impact of a policy change.

Argumentative Papers

Focus: Present and defend a specific claim using evidence and logical reasoning.

Structure: Emphasizes a well-defined thesis, persuasive examples, and the anticipation and refutation of counterarguments.

Example: Arguing for the superiority of a particular scientific theory or advocating for a specific social policy.

Experimental Studies (Empirical Research)

Focus: Collect and analyze original data through a designed experiment or methodology.

Structure: Follows scientific practices, including hypothesis, methods, results, discussion, and acknowledgment of limitations.

Example: Measuring the effects of a new drug or conducting psychological experiments on behavior patterns.

Survey-Based Research

Focus: Gather information from a sample population through surveys, questionnaires, or interviews.

Structure: Emphasizes sampling methods, data collection tools, statistical analysis, and cautious interpretation of results.

Example: Investigating public opinion on a political issue or studying consumer preferences for a product.

Do All Research Papers Fit Into Standard Categories?

No. Research is fluid and dynamic. Here's why categorization can get tricky:

Hybrids Exist: Many papers mix elements. An analytical paper might also incorporate arguments to strengthen its interpretation, or an experimental paper might include a review of existing literature to contextualize its findings.

Disciplinary Differences: Fields have specific conventions. A research paper in history differs vastly in style and structure from one in biology.

Innovation: Researchers sometimes develop new structures or methodologies best suited to their unique research questions.

Comparing Research Paper Types

Each type prioritizes different aspects of the research process:

An abstract is like a snapshot of your entire paper, providing a brief but informative overview of your research. It's often the first (and sometimes the only) section readers will engage with.

Key Functions: An effective abstract should:

Briefly state the research problem or topic

Outline your methods (briefly)

Summarize the main findings or results

Highlight the significance or implications of your work

Writing a Compelling Abstract

Here are some guidelines to make your abstract shine:

Concise and Clear: Aim for around 150-250 words. Use direct language and avoid unnecessary jargon.

Structured Approach: Even in its brevity, follow a logical flow (problem, methods, results, significance).

Keywords: Include keywords that accurately describe your research, aiding in discoverability within databases.

Self-Contained: The abstract should make sense on its own, without needing the reader to have read the full paper.

Engaging: While focused, pique the reader's interest and make them want to explore your research further.

Write it Last: Often, it's easiest to write your abstract once the rest of your paper is complete, as you can then distill the most essential elements.

Get Feedback: Ask a peer or instructor to read your abstract to ensure it's clear and accurately represents your research.

Introduction

Think of your introduction as the welcome mat for your research. Here's what it should accomplish:

Establish Context: Provide background information relevant to your specific research question. Orient the reader to the broader field or current debates surrounding the topic.

Define the Problem: Clearly outline the gap in knowledge, issue, or question your research aims to address.

State the Hypothesis: Concisely declare your research hypothesis or thesis statement – the central claim you aim to prove.

Significance: Briefly explain why your research matters. What potential contributions or implications does it hold?

Is the Introduction More Important Than Other Sections?

No. While the introduction plays a big role in initially capturing your reader's attention and setting the stage, it is just one piece of the puzzle. Here's why all sections matter:

Methodology Matters: A sound methodology section is essential for establishing the credibility of your findings. Readers need to trust your process.

Results are Key: The results section presents your hard-earned data. Without it, your research doesn't have a foundation to support your claims.

Discussion is Vital: Here's where you interpret your results, connect them back to your hypothesis, and explore the broader implications of your work.

Conclusion is the Culmination: Your conclusion reinforces your key findings, acknowledges limitations, and leaves the reader with a lasting understanding of your research contribution.

Engaging Your Audience Early

Here are some strategies to capture attention from the start:

Open with a Question: Pose a thought-provoking question directly related to your research.

Surprising Statistic: Share a relevant and eye-opening statistic that highlights the significance of your topic.

Brief anecdote: An illustrative anecdote or a vivid example can provide a compelling hook.

Challenge Assumptions: Question a common belief or assumption within your field to signal that your research offers fresh insights.

Tip: Your opening should be relevant and directly connected to your research topic. Avoid gimmicks that don't authentically lead into your core argument.

Literature Review

A literature review goes beyond simply listing past studies on a topic. It synthesizes existing knowledge, laying the foundation for your own research contribution.

Goals of a Strong Literature Review:

Demonstrate your understanding of the field and its key scholarly conversations.

Identify gaps in current knowledge that your research can address.

Position your research in relation to existing work, showing how it builds upon or challenges previous findings.

Provide theoretical context or support for your chosen methodological approach.

Synthesizing Relevant Studies

Don't just summarize – analyze! Here's how to engage with the literature critically:

Identify Trends: Look for patterns or themes across multiple studies. Are there consistent results or ongoing debates?

Note Inconsistencies: Highlight any contradictions or conflicting findings within the existing research.

Assess Methodology: Consider the strengths and limitations of different research methods used in prior studies. Can you improve upon them in your research?

Connections to Your Work: Show how each source directly relates to your research question. Explain how it supports, challenges, or informs your own study.

Tips for Effective Synthesis:

Organization is Key: Structure your literature review thematically or chronologically to present findings in a logical way.

Your Voice Matters: Avoid stringing together quotes. Analyze the literature and offer your own interpretation of the collective insights.

Cite Accurately: Follow the citation style required by your discipline to give credit and avoid plagiarism.

Methodology

Your methodology section details the step-by-step process of how you conducted your research. It allows others to understand and potentially replicate your study.

Components: A methodology section typically includes:

Research Design: The overall approach (experimental, survey-based, qualitative, etc.)

Data Collection: Description of the tools, procedures, and sources used (experiments, surveys, interviews, archival documents).

Sample Selection: Details on participants (if applicable) and how they were chosen.

Data Analysis: Methods used (statistical tests, qualitative analysis techniques).

Ethical considerations: Explain how you safeguarded participants or addressed any ethical concerns related to your research.

Designing a Robust Methodology

Here's how to make your methodology section shine:

Alignment with Research Question: Your methods should be directly chosen to answer your research question in the most effective and appropriate way.

Rigor: Demonstrate a meticulous approach, considering potential sources of bias or error and outlining steps taken to mitigate them.

Transparency: Provide enough detail for replication. Another researcher should be able to follow your method.

Justification: Explain why you chose specific methods. Connect them to established practices within your field or defend their suitability for your unique research.

Does Methodology Determine the Quality of Research Outcomes?

Absolutely! Here's why a robust methodology is important:

Reliability: A sound methodology ensures your results are consistent. If your study was repeated using your methods, similar results should be attainable.

Validity: Validity ensures you're measuring what you intend to. A strong methodology helps you draw accurate conclusions from your data that address your research question.

Credibility: Your paper will be evaluated based on the thoroughness of your procedures. A clear and rigorous methodology enhances trust in your findings.

Your results section is where you present the data collected from your research. This includes raw data, statistical analyses, summaries of observations, etc.

Key Considerations:

Clarity: Organize results logically. Use tables, graphs, or figures to enhance visual clarity when appropriate.

Objectivity: Present data without bias. Even if findings don't support your initial hypothesis, report them accurately.

Don't Interpret (Yet): Avoid discussing implications here. Focus on a clear presentation of your findings.

Interpreting Data Effectively

Your discussion or analysis section is where you make sense of your results. Here's how to ensure your interpretation is persuasive:

Connect Back to the Hypothesis: State whether your results support, refute, or partially support your hypothesis.

Use Evidence: Reference specific data points, statistics, or observations to back up your claims.

Explanatory Power: Don't merely describe what happened. Explain why you believe your data led to these results.

Context is Key: Relate your findings to the existing literature. Do they align with previous research, or do they raise new questions?

Be Transparent: Acknowledge any limitations of your data or unexpected findings, providing potential explanations.

Tips for Effective Data Discussion:

Visuals as Support: Continue using graphs or figures to illustrate trends or comparisons that reinforce your analysis.

Highlight What Matters: Don't over-discuss insignificant data points. Focus on the results that are most relevant to your research question and contribute to your overall argument.

Tell a Story: Data shouldn't feel disjointed. Weave it into a narrative that addresses your research problem and positions your findings within the broader field.

Your discussion section elevates your findings, moving from simply reporting what you discovered to exploring its significance and potential impact.

Interpret the results in relation to your research question and hypothesis.

Consider alternative explanations for unexpected findings and discuss limitations of the research.

Place your findings in the context of the broader field, connecting them to theories and the existing body of research.

Suggest implications for future research or practical applications.

Linking Results to Theory

Here's how to make your discussion section shine:

Return to the Literature Review: Did your results support a specific theory from your literature review? Challenge it? Offer a nuanced modification?

Contradictions Offer Insights: If your results contradict existing theories, don't dismiss them. Explain possible reasons for the discrepancies and how that pushes your field's understanding further.

Conceptual Contribution: How does your research add to the theoretical frameworks within your area of study?

Building Blocks: Frame your research as one piece of a larger puzzle. Explain how your work contributes to the ongoing scholarly conversation.

Tips for a Strong Discussion:

Avoid Overstating Significance: Maintain a scholarly tone and acknowledge the scope of your research. Don't claim your results revolutionize the field if it's not genuinely warranted.

Consider Future Directions: Responsible research isn't just about the past. Discuss what new questions arise based on your findings and offer avenues for potential future study.

Clarity Remains Key: Even when discussing complex ideas, use accessible language. Make your discussion meaningful to a wider audience within the field.

Conclusions

Your conclusion brings your research full circle. It's your chance to re-emphasize the most important takeaways of your work.

A Strong Conclusion Should:

Concisely restate the key research question or problem you sought to address.

Summarize your major findings and the most compelling evidence.

Briefly discuss the broader implications or contributions of your research.

Acknowledge limitations in the study (briefly).

Propose potential avenues for future research.

Can Conclusions Introduce New Research Questions?

Absolutely! Here's why this is valuable:

Sparking Curiosity: Ending with new questions emphasizes the ongoing nature of research and encourages further exploration beyond your own study.

Identifying Limitations: By highlighting where your work fell short, you guide future researchers toward filling those gaps.

Signaling Progress: Research is a continuous process of evolving knowledge. Your conclusion can be a springboard for others to expand upon your findings.

Crafting a Persuasive Conclusion

Here's how to make your conclusion impactful:

Reiterate, Don't Repeat: Remind the reader of your most significant findings, but avoid restating your thesis verbatim.

Confidence: Project a sense of conviction about the value of your work, without overstating its significance.

Clarity: Even in your conclusion, use direct language free of jargon. Leave the reader with a clear and lasting impression.

The Ripple Effect: Briefly highlight the broader relevance of your research. Why should readers beyond your niche field care?

Important: Your conclusion shouldn't introduce entirely new information or analyses. Rather, it should leave the reader pondering the implications of what you've already presented.

Giving Credit Where It's Due: Your references section lists the full details of every source you cited within your paper. This allows readers to locate those sources and acknowledges the intellectual work of others that you built upon.

Supporting Your Arguments: Credible references add weight to your claims, showing that your analysis is informed by established knowledge or reliable data.

Upholding Academic Standards: Accurate citations signal your commitment to scholarly practices and protect you from accusations of plagiarism.

Maintaining Citation Integrity

Here are the main practices to uphold:

Choose the Right Style: Follow the citation style mandated by your discipline (APA, MLA, Chicago, etc.). They have strict rules on formatting and which elements to include.

Consistency is Key: Use your chosen citation style uniformly throughout your paper. Mixed styles look sloppy and unprofessional.

Accuracy Matters: Double-check the details of each citation (authors, title, publication year, page numbers, etc.). Errors undermine your credibility.

Citation Tools: Use reliable resources like:

Online citation generators

Reference management software (Zotero, EndNote, etc..)

University library guides for your required style

Important Notes:

In-Text vs. References: In-text citations (within your writing) point the reader to the full citation in your references list. Both are needed.

Citation ≠ Bibliography: A bibliography may include sources you consulted but didn't directly cite, while the references list is specifically for cited works.

Writing Effective Research Papers: A Guide

Research papers aren't merely about having brilliant ideas – they're about effectively communicating those ideas. Strong writing allows you to showcase the value and rigor of your work.

Is Effective Writing Alone Sufficient for a Successful Research Paper?

No. Strong writing is vital but not a substitute for the core components of research. Consider this:

Even brilliant findings get lost in poor writing: Disorganized papers, unclear sentences, or misuse of discipline-specific terms hinder the reader from grasping your insights.

Writing is intertwined with research: The process of writing helps you clarify your own thinking, refine your arguments, and identify potential weaknesses in your logic.

Tips for Academic Writing

Here's how to elevate your research paper writing:

Define Your Terms: especially if using specialized jargon or complex concepts.

Favor Active Voice: Use strong verbs and keep the subject of your sentences clear. (Example: "The study demonstrates..." rather than "It is demonstrated...")

Avoid Ambiguity: Choose precise language to leave no room for misinterpretation.

Transitions Are Your Friend: Guide the reader smoothly between ideas and sections using signpost words and phrases.

Logical Structure: Your paper's organization (introduction, methods, etc.) should have an intuitive flow.

One Idea per Paragraph: Avoid overly dense paragraphs. Break down complex points for readability.

Strong Argumentation

Thesis as Roadmap: Your central thesis should be apparent throughout the paper. Each section should clearly connect back to it.

Strong Evidence: Use reliable data and examples to support your claims.

Anticipate Counterarguments: Show you've considered alternative viewpoints by respectfully addressing and refuting them.

Additional Tips

Read widely in your field: Analyze how successful papers are structured and how arguments are developed.

Revise relentlessly: Give yourself time to step away from your draft and return with fresh eyes.

Seek Feedback: Ask peers, instructors, or a writing center tutor to review your work for clarity and logic.

Conclusion: Integrating the Components of Research Papers for Academic Excellence

The journey of writing a research paper is truly transformative. By mastering each component, from a rigorously crafted hypothesis to a meticulously compiled reference list, you develop the essential skills of critical thinking, communication, and scholarly inquiry. It's important to remember that these components are not isolated; they form a powerful, synergistic whole.

Let the process of writing research papers empower you. Embrace the challenge of synthesizing information, developing strong arguments, and communicating your findings with clarity and precision. Celebrate your dedication to the pursuit of knowledge and the contributions you make to your academic community and your own intellectual growth.

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How to Write a Research Paper: Parts of the Paper

• Choosing Your Topic
• Citation & Style Guides This link opens in a new window
• Critical Thinking
• Evaluating Information
• Parts of the Paper
• Writing Tips from UNC-Chapel Hill
• Librarian Contact

Parts of the Research Paper Papers should have a beginning, a middle, and an end. Your introductory paragraph should grab the reader's attention, state your main idea, and indicate how you will support it. The body of the paper should expand on what you have stated in the introduction. Finally, the conclusion restates the paper's thesis and should explain what you have learned, giving a wrap up of your main ideas.

1. The Title The title should be specific and indicate the theme of the research and what ideas it addresses. Use keywords that help explain your paper's topic to the reader. Try to avoid abbreviations and jargon. Think about keywords that people would use to search for your paper and include them in your title.

2. The Abstract The abstract is used by readers to get a quick overview of your paper. Typically, they are about 200 words in length (120 words minimum to  250 words maximum). The abstract should introduce the topic and thesis, and should provide a general statement about what you have found in your research. The abstract allows you to mention each major aspect of your topic and helps readers decide whether they want to read the rest of the paper. Because it is a summary of the entire research paper, it is often written last. 

3. The Introduction The introduction should be designed to attract the reader's attention and explain the focus of the research. You will introduce your overview of the topic,  your main points of information, and why this subject is important. You can introduce the current understanding and background information about the topic. Toward the end of the introduction, you add your thesis statement, and explain how you will provide information to support your research questions. This provides the purpose and focus for the rest of the paper.

4. Thesis Statement Most papers will have a thesis statement or main idea and supporting facts/ideas/arguments. State your main idea (something of interest or something to be proven or argued for or against) as your thesis statement, and then provide your supporting facts and arguments. A thesis statement is a declarative sentence that asserts the position a paper will be taking. It also points toward the paper's development. This statement should be both specific and arguable. Generally, the thesis statement will be placed at the end of the first paragraph of your paper. The remainder of your paper will support this thesis.

Students often learn to write a thesis as a first step in the writing process, but often, after research, a writer's viewpoint may change. Therefore a thesis statement may be one of the final steps in writing. 

Examples of Thesis Statements from Purdue OWL

5. The Literature Review The purpose of the literature review is to describe past important research and how it specifically relates to the research thesis. It should be a synthesis of the previous literature and the new idea being researched. The review should examine the major theories related to the topic to date and their contributors. It should include all relevant findings from credible sources, such as academic books and peer-reviewed journal articles. You will want  to:

• Explain how the literature helps the researcher understand the topic.
• Try to show connections and any disparities between the literature.
• Identify new ways to interpret prior research.
• Reveal any gaps that exist in the literature.

More about writing a literature review. . .

6. The Discussion ​The purpose of the discussion is to interpret and describe what you have learned from your research. Make the reader understand why your topic is important. The discussion should always demonstrate what you have learned from your readings (and viewings) and how that learning has made the topic evolve, especially from the short description of main points in the introduction.Explain any new understanding or insights you have had after reading your articles and/or books. Paragraphs should use transitioning sentences to develop how one paragraph idea leads to the next. The discussion will always connect to the introduction, your thesis statement, and the literature you reviewed, but it does not simply repeat or rearrange the introduction. You want to: 

• Demonstrate critical thinking, not just reporting back facts that you gathered.
• If possible, tell how the topic has evolved over the past and give it's implications for the future.
• Fully explain your main ideas with supporting information.
• Explain why your thesis is correct giving arguments to counter points.

7. The Conclusion A concluding paragraph is a brief summary of your main ideas and restates the paper's main thesis, giving the reader the sense that the stated goal of the paper has been accomplished. What have you learned by doing this research that you didn't know before? What conclusions have you drawn? You may also want to suggest further areas of study, improvement of research possibilities, etc. to demonstrate your critical thinking regarding your research.

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Scientific and Scholarly Writing

• PubMed and other NLM Literature Databases
• Tracking and Citing References

Parts of a Scientific & Scholarly Paper

Introduction.

• Writing Effectively
• Where to Publish?
• Avoid Plagiarism

Different sections are needed in different types of scientific papers (lab reports, literature reviews, systematic reviews, methods papers, research papers, etc.). Projects that overlap with the social sciences or humanities may have different requirements. Generally, however, you'll need to include:

INTRODUCTION (Background)

METHODS SECTION (Materials and Methods)

What is a title?

Titles have two functions: to identify the main topic or the message of the paper and to attract readers.

The title will be read by many people. Only a few will read the entire paper, therefore all words in the title should be chosen with care. Too short a title is not helpful to the potential reader. Too long a title can sometimes be even less meaningful. Remember a title is not an abstract. Neither is a title a sentence.

What makes a good title?

A good title is accurate, complete, and specific. Imagine searching for your paper in PubMed. What words would you use?

• Use the fewest possible words that describe the contents of the paper.
• Avoid waste words like "Studies on", or "Investigations on".
• Use specific terms rather than general.
• Use the same key terms in the title as the paper.
• Watch your word order and syntax.
• Avoid abbreviations, jargon, and special characters.

The abstract is a miniature version of your paper. It should present the main story and a few essential details of the paper for readers who only look at the abstract and should serve as a clear preview for readers who read your whole paper. They are usually short (250 words or less).

The goal is to communicate:

•  What was done?
•  Why was it done?
•  How was it done?
•  What was found?

A good abstract is specific and selective. Try summarizing each of the sections of your paper in a sentence two. Do the abstract last, so you know exactly what you want to write.

• Use 1 or more well developed paragraphs.
• Use introduction/body/conclusion structure.
• Present purpose, results, conclusions and recommendations in that order.
• Make it understandable to a wide audience.

What is an introduction?

The introduction tells the reader why you are writing your paper (ie, identifies a gap in the literature) and supplies sufficient background information that the reader can understand and evaluate your project without referring to previous publications on the topic.

The nature and scope of the problem investigated.

The pertinent literature already written on the subject.

The method of the investigation.

The hypothesized results of the project.

What makes a good introduction?

A good introduction is not the same as an abstract. Where the abstract summarizes your paper, the introduction justifies your project and lets readers know what to expect.

• Keep it brief. You conducted an extensive literature review, so that you can give readers just the relevant information. • Cite your sources using in-text citations. • Use the present tense. Keep using the present tense for the whole paper. • Use the same information that you use in the rest of your paper.

What is a methods section?

Generally a methods section tells the reader how you conducted your project. 

It is also called "Materials and Methods".

The goal is to make your project reproducible.

What makes a good methods section?

A good methods section gives enough detail that another scientist could reproduce or replicate your results.

• Use very specific language, similar to a recipe in a cookbook. • If something is not standard (equipment, method, chemical compound, statistical analysis), then describe it. • Use the past tense. • Subheadings should follow guidelines of a style (APA, Vancouver, etc.) or journal (journals will specify these in their "for authors" section). For medical education writing, refer to the AMA Manual of Style .

  What is a results section?

The results objectively present the data or information that you gathered through your project. The narrative that you write here will point readers to your figures and tables that present your relevant data.

Keep in mind that you may be able to include more of your data in an online journal supplement or research data repository.

What makes a good results section?

A good results section is not the same as the discussion. Present the facts in the results, saving the interpretation for the discussion section. The results section should be written in past tense.

• Make figures and tables clearly labelled and easy to read. If you include a figure or table, explain it in the results section. • Present representative data rather than endlessly repetitive data . • Discuss variables only if they had an effect (positive or negative) • Use meaningful statistics . • Describe statistical analyses you ran on the data.

What is a discussion section?

The discussion section is the answer to the question(s) you posed in the introduction section. It is where you interpret your results. You have a lot of flexibility in this section. In addition to your main findings or conclusions, consider:

• Limitations and strengths of your project. • Directions for future research.

What makes a good  discussion section?

A good discussion section should read very differently than the results section. The discussion is where you interpret the project as a whole.

• Present principles, relationships and generalizations shown by the results. • Discuss the significance or importance of the results. • Discuss the theoretical implications of your work as well as practical applications • Show how your results agree or disagree with previously published works.

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Research Methods: A Student's Comprehensive Guide: Structure

• Research Approaches
• Types of Sources
• Accessing Resources
• Evaluating Sources
• Question Crafting
• Search Strategies
• Annotated Bibliography
• Literature Reviews
• Citations This link opens in a new window

Research Paper

Welcome to the art of crafting a research paper! Think of this as your roadmap to creating a well-structured and impactful study. We’ll walk you through each crucial component—from introducing your topic with flair to wrapping up with a strong conclusion. Whether you're diving into your first research project or polishing your latest masterpiece, this guide is here to make the journey smoother and more enjoyable. Get ready to turn your research into a compelling narrative that not only showcases your findings but also captivates your readers.

• Paper Snapshot

Introduction

Methodology, research paper structure: a snapshot.

Before diving into the individual components, let's take a quick look at the full structure of a research paper. This snapshot will help you visualize how each section fits together to form a cohesive and well-organized paper.

• Introduce your topic and research question.
• Provide background and context to set up your study.
• Summarize relevant existing research.
• Highlight key studies, theories, and gaps in the literature.
• Describe your research design and methods.
• Explain your data collection and analysis processes.
• Present your findings clearly.
• Use visuals, like charts and tables, to enhance understanding.
• Analyze and interpret the results.
• Discuss the broader implications of your findings and acknowledge limitations.
• Recap your key findings.
• Suggest areas for future research and offer final reflections.

With this snapshot, you now have a high-level view of the main components of your research paper. You can explore each section in detail in the following tabs.

The introduction serves as your reader's first impression of your paper. It should draw them in with a compelling overview of your topic, clearly outline your research question or thesis, and establish the importance of your study.

Key Components

Opening Statement

• Start strong with an attention-grabbing hook: a striking fact, thought-provoking quote, or an interesting anecdote that relates to your research.

Background Information

• Provide necessary context to help readers understand the relevance and scope of your study. You can include key historical information, theoretical context, or a brief overview of previous research.

Research Question or Thesis Statement

• This is the heart of your introduction. State your research question or thesis in a clear, concise manner, so readers know exactly what you are investigating.

Scope and Objectives

• Clearly define the boundaries of your research. What will your paper cover, and what will it not address? This helps frame your work for readers.

Significance of the Study

• Explain why your research matters. Does it fill a gap in existing research? Is it practically useful? Emphasize the value and contribution your paper brings to the field.

Tips for Crafting a Strong Introduction

• Be Engaging:  Your opening should grab attention and encourage the reader to keep going.
• Be Clear:  Avoid ambiguity—clearly state your research question and purpose.
• Provide Context:  Background information is essential to help the reader understand the topic, but avoid overwhelming them with too much detail at this stage.
• Stay Focused:  Keep the introduction concise but informative, setting the tone for the rest of your paper.

Literature Review

The literature review is where you showcase the existing research that relates to your topic. It's your chance to demonstrate your understanding of the academic conversation and position your research within that context.

Summarizing Existing Research

• Review relevant studies, theories, and findings that directly relate to your research question. This provides a foundation for your paper and shows that your study is grounded in the existing body of work.

Highlighting Key Studies

• Identify the most influential or significant research in your field. These are the works that have shaped the current understanding of your topic, and they should be emphasized in your review.

Identifying Gaps or Controversies

• Point out areas where there is limited research, conflicting findings, or ongoing debates. These gaps or discrepancies provide justification for your own research.

Establishing Your Research’s Relevance

• Explain how your research contributes to the field. Whether you’re addressing a gap, building on existing studies, or proposing something new, clearly indicate how your work fits into the larger picture.

Tips for a Strong Literature Review

• Stay Focused:  Only include studies that are directly relevant to your research question. Avoid summarizing every piece of literature you've read.
• Be Critical:  Don’t just summarize—critically assess the strengths and weaknesses of the studies you include.
• Organize Effectively:  Structure your review in a logical order, grouping studies by themes, methodologies, or findings.
• Show Connections:  Discuss how different studies relate to one another and to your research. This helps build a coherent narrative.

The methodology section details how you conducted your research. This is where you explain your approach, so others can understand and potentially replicate your study.

Research Design

• Outline the overall design of your study. Are you using qualitative, quantitative, or mixed methods? Define the type of research you're conducting (e.g., case study, survey, experiment).

Data Collection

• Explain how you gathered your data. Were interviews conducted? Surveys distributed? Or perhaps you collected data through observation or archival research. Be specific about the tools, instruments, or platforms you used.

Participants and Sampling

• If applicable, describe your sample group. Who participated in your study? How were they selected? Include details like the size of your sample and any inclusion/exclusion criteria.

Data Analysis

• Discuss how you analyzed your data. Did you use statistical methods, thematic analysis, coding, or another technique? Make sure to explain why these methods were appropriate for your research question.

Ethical Considerations

• Briefly mention any ethical protocols you followed, such as obtaining consent from participants or ensuring anonymity. If your research involved sensitive topics, this is especially important to address.

Tips for Writing Your Methodology

• Be Detailed but Clear:  Provide enough detail so your methods can be understood or replicated, but avoid overloading with unnecessary jargon.
• Justify Your Choices:  Explain why you chose specific methods over others and how they align with your research objectives.
• Stay Organized:  Break your methodology into clear sections to improve readability and flow.

In the results section, you present the findings of your research. This is where you report what you discovered, without interpretation (that comes in the Discussion section). Clarity is key, especially if you are using visuals to support your findings.

Presentation of Data

• Clearly present your research results. This can include numerical data, text analysis, or findings from experiments, surveys, or interviews.

Use of Visuals

• Incorporate charts, tables, graphs, or other visuals to illustrate key points. Ensure that these visuals are well-labeled and easy to understand. Each visual should have a caption explaining what it represents.

Organizing Results

• Structure your results logically. You might choose to organize them by research question, themes, or hypotheses. Make sure there’s a clear flow, so readers can follow your findings easily.

Statistical or Analytical Reporting (if applicable)

• If you conducted statistical analysis, report your findings using appropriate measures (e.g., averages, standard deviations, significance levels). Be transparent about any statistical software or formulas used.

Relevant Findings Only

• Only include results that directly relate to your research question or hypothesis. Avoid tangents or irrelevant data.

Tips for a Clear Results Section

• Be Objective:  This is not the place for interpretation—just present the facts.
• Visual Clarity:  Ensure any visuals are clear, well-labeled, and directly support your results.
• Use Subheadings:  If you have multiple results or sections, use subheadings to organize them.
• Stick to the Findings:  Avoid analysis or speculation here; save that for the Discussion.

The discussion is where you interpret your findings. This is your opportunity to explain what the results mean, how they relate to your research question, and what implications they have for the field.

Interpretation of Results

• Explain what your results mean in the context of your research question. How do they answer the question or support (or refute) your hypothesis? Dive into the significance of the findings.

Connection to Existing Research

• Relate your findings back to the literature you reviewed earlier. How do your results compare with previous studies? Do they support or challenge existing theories?

Implications of the Study

• Discuss the broader implications of your research. What does it contribute to the field? Does it suggest changes in practice, policy, or further research avenues?

Limitations

• Acknowledge any limitations of your study. Were there constraints related to time, sample size, or methodology? Transparency about limitations adds credibility to your research.

Recommendations for Future Research

• Suggest areas where future researchers can explore. Perhaps there were aspects of the topic you couldn’t address fully, or new questions arose based on your findings.

Tips for a Strong Discussion Section

• Be Analytical:  Focus on interpretation, not just re-stating results.
• Relate to Literature:  Show how your findings fit within the broader research context.
• Be Honest About Limitations:  Acknowledge weaknesses to show thoroughness and integrity.
• Highlight the Importance:  Emphasize the practical or theoretical value of your work.

The conclusion ties everything together. It should succinctly summarize your key findings, emphasize their significance, and leave the reader with a clear understanding of what you’ve contributed to the field.

Summary of Key Findings

• Briefly restate your most important results. Focus on the findings that directly answer your research question and highlight their relevance.

Restating the Research Question/Thesis

• Revisit your original research question or thesis and clearly explain how your findings address it.

Implications and Impact

• Reinforce the broader significance of your work. How do your findings contribute to the academic field or practical applications? This is your chance to leave a lasting impression.

Recommendations for Future Research or Practice

• Suggest directions for future studies or practical steps that can be taken based on your findings. This ensures your conclusion looks forward rather than simply wrapping up.

Final Thought/Call to Action

• End on a strong note! Offer a thought-provoking statement, reflection, or call to action, encouraging further discussion or research.

Tips for a Strong Conclusion

• Be Concise:  Keep it focused—summarize, don’t rehash.
• Be Forward-Looking:  Emphasize the impact and potential future directions.
• End with Confidence:  Leave readers with a clear understanding of your research's importance.

How to Create a Clearly Structured Paper

Provides a step-by-step guide to organizing an effective essay or research paper outline, focusing on creating clear, logical sections that streamline the writing process.

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Writing Lab

Research papers.

• Research Paper Basics
• Credible Sources
• Reading Scholarly Articles
• Summarizing and Paraphrasing
• Paraphrasing and Student Voice
• Direct Quotations
• Synthesis in Writing
• Citing Sources

Writing research papers allows you to take a  deeper dive into a topic  while relying on credible sources   for information.  A research paper should be original work from you, the writer. This means that the vast majority of the research paper content should be your ideas, analysis, and words and should avoid an overreliance on direct quotations from outside sources.

This research process also hones the skills that so many employers find valuable, like researching for information, applying the information, prioritizing and organizing information, and more.

Breaking the process down into  steps  will make it more manageable.

Components of a Research Paper

• ​ Introduces the topic covered in the paper 
• States the thesis or position to be supported   in the body of the paper
• Usually one or two paragraphs in length
• ​The main  part of the paper
• Points presented in logical order to support the thesis, one point per paragraph
• length of this section varies; usually, a minimum of three paragraphs
• ​ Restates the thesis 
• Reinforces significant points made in the body of the paper

Research FAQs

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• Research guides

Writing an Educational Research Paper

Research paper sections, customary parts of an education research paper.

There is no one right style or manner for writing an education paper. Content aside, the writing style and presentation of papers in different educational fields vary greatly. Nevertheless, certain parts are common to most papers, for example:

Title/Cover Page

Contains the paper's title, the author's name, address, phone number, e-mail, and the day's date.

Not every education paper requires an abstract. However, for longer, more complex papers abstracts are particularly useful. Often only 100 to 300 words, the abstract generally provides a broad overview and is never more than a page. It describes the essence, the main theme of the paper. It includes the research question posed, its significance, the methodology, and the main results or findings. Footnotes or cited works are never listed in an abstract. Remember to take great care in composing the abstract. It's the first part of the paper the instructor reads. It must impress with a strong content, good style, and general aesthetic appeal. Never write it hastily or carelessly.

Introduction and Statement of the Problem

A good introduction states the main research problem and thesis argument. What precisely are you studying and why is it important? How original is it? Will it fill a gap in other studies? Never provide a lengthy justification for your topic before it has been explicitly stated.

Limitations of Study

Indicate as soon as possible what you intend to do, and what you are not going to attempt. You may limit the scope of your paper by any number of factors, for example, time, personnel, gender, age, geographic location, nationality, and so on.

Methodology

Discuss your research methodology. Did you employ qualitative or quantitative research methods? Did you administer a questionnaire or interview people? Any field research conducted? How did you collect data? Did you utilize other libraries or archives? And so on.

Literature Review

The research process uncovers what other writers have written about your topic. Your education paper should include a discussion or review of what is known about the subject and how that knowledge was acquired. Once you provide the general and specific context of the existing knowledge, then you yourself can build on others' research. The guide Writing a Literature Review will be helpful here.

Main Body of Paper/Argument

This is generally the longest part of the paper. It's where the author supports the thesis and builds the argument. It contains most of the citations and analysis. This section should focus on a rational development of the thesis with clear reasoning and solid argumentation at all points. A clear focus, avoiding meaningless digressions, provides the essential unity that characterizes a strong education paper.

After spending a great deal of time and energy introducing and arguing the points in the main body of the paper, the conclusion brings everything together and underscores what it all means. A stimulating and informative conclusion leaves the reader informed and well-satisfied. A conclusion that makes sense, when read independently from the rest of the paper, will win praise.

Works Cited/Bibliography

See the Citation guide .

Education research papers often contain one or more appendices. An appendix contains material that is appropriate for enlarging the reader's understanding, but that does not fit very well into the main body of the paper. Such material might include tables, charts, summaries, questionnaires, interview questions, lengthy statistics, maps, pictures, photographs, lists of terms, glossaries, survey instruments, letters, copies of historical documents, and many other types of supplementary material. A paper may have several appendices. They are usually placed after the main body of the paper but before the bibliography or works cited section. They are usually designated by such headings as Appendix A, Appendix B, and so on.

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• Last Updated: Aug 12, 2024 2:35 PM
• Subjects: Education
• Tags: education , education_paper , education_research_paper

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Writing a Research Paper

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The Research Paper

There will come a time in most students' careers when they are assigned a research paper. Such an assignment often creates a great deal of unneeded anxiety in the student, which may result in procrastination and a feeling of confusion and inadequacy. This anxiety frequently stems from the fact that many students are unfamiliar and inexperienced with this genre of writing. Never fear—inexperience and unfamiliarity are situations you can change through practice! Writing a research paper is an essential aspect of academics and should not be avoided on account of one's anxiety. In fact, the process of writing a research paper can be one of the more rewarding experiences one may encounter in academics. What is more, many students will continue to do research throughout their careers, which is one of the reasons this topic is so important.

Becoming an experienced researcher and writer in any field or discipline takes a great deal of practice. There are few individuals for whom this process comes naturally. Remember, even the most seasoned academic veterans have had to learn how to write a research paper at some point in their career. Therefore, with diligence, organization, practice, a willingness to learn (and to make mistakes!), and, perhaps most important of all, patience, students will find that they can achieve great things through their research and writing.

The pages in this section cover the following topic areas related to the process of writing a research paper:

• Genre - This section will provide an overview for understanding the difference between an analytical and argumentative research paper.
• Choosing a Topic - This section will guide the student through the process of choosing topics, whether the topic be one that is assigned or one that the student chooses themselves.
• Identifying an Audience - This section will help the student understand the often times confusing topic of audience by offering some basic guidelines for the process.
• Where Do I Begin - This section concludes the handout by offering several links to resources at Purdue, and also provides an overview of the final stages of writing a research paper.

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Scientific Writing: Sections of a Paper

• Sections of a Paper
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Introduction

• Materials & Methods

Typically scientific journal articles have the following sections:

Materials & Methods

References used:

Kotsis, S.V. and Chung, K.C. (2010) A Guide for Writing in the Scientific Forum. Plastic and Reconstructive Surgery. 126(5):1763-71. PubMed ID:  21042135

Van Way, C.W. (2007) Writing a Scientific Paper. Nutrition in Clinical Practice. 22: 663-40. PubMed ID:  1804295

What to include:

• Background/Objectives: include the hypothesis
• Methods: Briefly explain the type of study, sample/population size and description, the design, and any particular techniques for data collection and analysis
• Results: Essential data, including statistically significant data (use # & %)
• Conclusions: Summarize interpretations of results and explain if hypothesis was supported or rejected
• Be concise!
• Emphasize the methods and results
• Do not copy the introduction
• Only include data that is included in the paper
• Write the abstract last
• Avoid jargon and ambiguity
• Should stand-alone

Additional resources: Fisher, W. E. (2005) Abstract Writing. Journal of Surgical Research. 128(2):162-4. PubMed ID:  16165161 Peh, W.C. and Ng, K.H. (2008) Abstract and keywords. Singapore Medical Journal. 49(9): 664-6. PubMed ID:  18830537

• How does your study fit into what has been done
• Explain evidence using limited # of references
• Why is it important
• How does it relate to previous research
• State hypothesis at the end
• Use present tense
• Be succinct
• Clearly state objectives
• Explain important work done

Additional resources: Annesley, T. M. (2010) "It was a cold and rainy night": set the scene with a good introduction. Clinical Chemistry. 56(5):708-13. PubMed ID:  20207764 Peh, W.C. and Ng, K.H. (2008) Writing the introduction. Singapore Medical Journal. 49(10):756-8. PubMed ID:  18946606  

• What was done
• Include characteristics
• Describe recruitment, participation, withdrawal, etc.
• Type of study (RCT, cohort, case-controlled, etc.)
• Equipment used
• Measurements made
• Usually the final paragraph
• Include enough details so others can duplicate study
• Use past tense
• Be direct and precise
• Include any preliminary results
• Ask for help from a statistician to write description of statistical analysis
• Be systematic

Additional resources: Lallet, R. H. (2004) How to write the methods section of a research paper. Respiratory Care. 49(10): 1229-32. PubMed ID:  15447808 Ng, K.H. and Peh, W.C. (2008) Writing the materials and methods. Singapore Medical Journal. 49(11): 856-9. PubMed ID:  19037549

• Describe study sample demographics
• Include statistical significance and the statistical test used
• Use tables and figures when appropriate
• Present in a logical sequence
• Facts only - no citations or interpretations
• Should stand alone (not need written descriptions to be understood)
• Include title, legend, and axes labels
• Include raw numbers with percentages
• General phrases (significance, show trend, etc. should be used with caution)
• Data is plural ("Our data are" is correct, "Our data is" is in-correct)

Additional resources: Ng, K.H and Peh, W.C. (2008) Writing the results. Singapore Medical Journal. 49(12):967-9. PubMed ID:  19122944 Streiner, D.L. (2007) A shortcut to rejection: how not to write the results section of a paper. Canadian Journal of Psychiatry. 52(6):385-9. PubMed ID:  17696025

• Did you reject your null hypothesis?
• Include a focused review of literature in relation to results
• Explain meaning of statistical findings
• Explain importance/relevance 
• Include all possible explanations
• Discuss possible limitations of study
• Suggest future work that could be done
• Use past tense to describe your study and present tense to describe established knowledge from literature
• Don't criticize other studies, contrast it with your work
• Don't make conclusions not supported by your results
• Stay focused and concise
• Include key, relevant references
• It is considered good manners to include an acknowledgements section

Additional resources: Annesley, T. M. (2010) The discussion section: your closing argument. Clinical Chemistry. 56(11):1671-4. PubMed ID:  20833779 Ng, K.H. and Peh, W.C. (2009) Writing the discussion. Singapore Medical Journal. 50(5):458-61. PubMed ID:  19495512

Tables & Figures: Durbin, C. G. (2004) Effective use of tables and figures in abstracts, presentations, and papers. Respiratory Care. 49(10): 1233-7. PubMed ID:  15447809 Ng, K. H. and Peh, W.C.G. (2009) Preparing effective tables. Singapore Medical Journal. (50)2: 117-9. PubMed ID:  19296024

Statistics: Ng, K. H. and Peh, W.C.G. (2009) Presenting the statistical results. Singapore Medical Journal. (50)1: 11-4. PubMed ID:  19224078

References: Peh, W.C.G. and Ng, K. H. (2009) Preparing the references. Singapore Medical Journal. (50)7: 11-4. PubMed ID:  19644619

Additional Resources

• More from Elsevier Elsevier's Research Academy is an online tutorial to help with writing books, journals, and grants. It also includes information on citing sources, peer reviewing, and ethics in publishing
• Research4Life Training Portal Research4Life provides downloadable instruction materials, including modules on authorship skills as well as other research related skills.
• Coursera: Science Writing Coursera provides a wide variety of online courses for continuing education. You can search around for various courses on scientific writing or academic writing, and they're available to audit for free.

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• Research paper

Writing a Research Paper Introduction | Step-by-Step Guide

Published on September 24, 2022 by Jack Caulfield . Revised on September 5, 2024.

The introduction to a research paper is where you set up your topic and approach for the reader. It has several key goals:

• Present your topic and get the reader interested
• Provide background or summarize existing research
• Position your own approach
• Detail your specific research problem and problem statement
• Give an overview of the paper’s structure

The introduction looks slightly different depending on whether your paper presents the results of original empirical research or constructs an argument by engaging with a variety of sources.

The five steps in this article will help you put together an effective introduction for either type of research paper.

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Table of contents

Step 1: introduce your topic, step 2: describe the background, step 3: establish your research problem, step 4: specify your objective(s), step 5: map out your paper, research paper introduction examples, frequently asked questions about the research paper introduction.

The first job of the introduction is to tell the reader what your topic is and why it’s interesting or important. This is generally accomplished with a strong opening hook.

The hook is a striking opening sentence that clearly conveys the relevance of your topic. Think of an interesting fact or statistic, a strong statement, a question, or a brief anecdote that will get the reader wondering about your topic.

For example, the following could be an effective hook for an argumentative paper about the environmental impact of cattle farming:

A more empirical paper investigating the relationship of Instagram use with body image issues in adolescent girls might use the following hook:

Don’t feel that your hook necessarily has to be deeply impressive or creative. Clarity and relevance are still more important than catchiness. The key thing is to guide the reader into your topic and situate your ideas.

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• Missing reference entries

This part of the introduction differs depending on what approach your paper is taking.

In a more argumentative paper, you’ll explore some general background here. In a more empirical paper, this is the place to review previous research and establish how yours fits in.

Argumentative paper: Background information

After you’ve caught your reader’s attention, specify a bit more, providing context and narrowing down your topic.

Provide only the most relevant background information. The introduction isn’t the place to get too in-depth; if more background is essential to your paper, it can appear in the body .

Empirical paper: Describing previous research

For a paper describing original research, you’ll instead provide an overview of the most relevant research that has already been conducted. This is a sort of miniature literature review —a sketch of the current state of research into your topic, boiled down to a few sentences.

This should be informed by genuine engagement with the literature. Your search can be less extensive than in a full literature review, but a clear sense of the relevant research is crucial to inform your own work.

Begin by establishing the kinds of research that have been done, and end with limitations or gaps in the research that you intend to respond to.

The next step is to clarify how your own research fits in and what problem it addresses.

Argumentative paper: Emphasize importance

In an argumentative research paper, you can simply state the problem you intend to discuss, and what is original or important about your argument.

Empirical paper: Relate to the literature

In an empirical research paper, try to lead into the problem on the basis of your discussion of the literature. Think in terms of these questions:

• What research gap is your work intended to fill?
• What limitations in previous work does it address?
• What contribution to knowledge does it make?

You can make the connection between your problem and the existing research using phrases like the following.

Now you’ll get into the specifics of what you intend to find out or express in your research paper.

The way you frame your research objectives varies. An argumentative paper presents a thesis statement, while an empirical paper generally poses a research question (sometimes with a hypothesis as to the answer).

Argumentative paper: Thesis statement

The thesis statement expresses the position that the rest of the paper will present evidence and arguments for. It can be presented in one or two sentences, and should state your position clearly and directly, without providing specific arguments for it at this point.

Empirical paper: Research question and hypothesis

The research question is the question you want to answer in an empirical research paper.

Present your research question clearly and directly, with a minimum of discussion at this point. The rest of the paper will be taken up with discussing and investigating this question; here you just need to express it.

A research question can be framed either directly or indirectly.

• This study set out to answer the following question: What effects does daily use of Instagram have on the prevalence of body image issues among adolescent girls?
• We investigated the effects of daily Instagram use on the prevalence of body image issues among adolescent girls.

If your research involved testing hypotheses , these should be stated along with your research question. They are usually presented in the past tense, since the hypothesis will already have been tested by the time you are writing up your paper.

For example, the following hypothesis might respond to the research question above:

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The final part of the introduction is often dedicated to a brief overview of the rest of the paper.

In a paper structured using the standard scientific “introduction, methods, results, discussion” format, this isn’t always necessary. But if your paper is structured in a less predictable way, it’s important to describe the shape of it for the reader.

If included, the overview should be concise, direct, and written in the present tense.

• This paper will first discuss several examples of survey-based research into adolescent social media use, then will go on to …
• This paper first discusses several examples of survey-based research into adolescent social media use, then goes on to …

Scribbr’s paraphrasing tool can help you rephrase sentences to give a clear overview of your arguments.

Full examples of research paper introductions are shown in the tabs below: one for an argumentative paper, the other for an empirical paper.

• Argumentative paper
• Empirical paper

Are cows responsible for climate change? A recent study (RIVM, 2019) shows that cattle farmers account for two thirds of agricultural nitrogen emissions in the Netherlands. These emissions result from nitrogen in manure, which can degrade into ammonia and enter the atmosphere. The study’s calculations show that agriculture is the main source of nitrogen pollution, accounting for 46% of the country’s total emissions. By comparison, road traffic and households are responsible for 6.1% each, the industrial sector for 1%. While efforts are being made to mitigate these emissions, policymakers are reluctant to reckon with the scale of the problem. The approach presented here is a radical one, but commensurate with the issue. This paper argues that the Dutch government must stimulate and subsidize livestock farmers, especially cattle farmers, to transition to sustainable vegetable farming. It first establishes the inadequacy of current mitigation measures, then discusses the various advantages of the results proposed, and finally addresses potential objections to the plan on economic grounds.

The rise of social media has been accompanied by a sharp increase in the prevalence of body image issues among women and girls. This correlation has received significant academic attention: Various empirical studies have been conducted into Facebook usage among adolescent girls (Tiggermann & Slater, 2013; Meier & Gray, 2014). These studies have consistently found that the visual and interactive aspects of the platform have the greatest influence on body image issues. Despite this, highly visual social media (HVSM) such as Instagram have yet to be robustly researched. This paper sets out to address this research gap. We investigated the effects of daily Instagram use on the prevalence of body image issues among adolescent girls. It was hypothesized that daily Instagram use would be associated with an increase in body image concerns and a decrease in self-esteem ratings.

The introduction of a research paper includes several key elements:

• A hook to catch the reader’s interest
• Relevant background on the topic
• Details of your research problem

and your problem statement

• A thesis statement or research question
• Sometimes an overview of the paper

Don’t feel that you have to write the introduction first. The introduction is often one of the last parts of the research paper you’ll write, along with the conclusion.

This is because it can be easier to introduce your paper once you’ve already written the body ; you may not have the clearest idea of your arguments until you’ve written them, and things can change during the writing process .

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis —a prediction that will be confirmed or disproved by your research.

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Online Guide to Writing and Research

The research process, explore more of umgc.

• Online Guide to Writing

Structuring the Research Paper

Formal research structure.

These are the primary purposes for formal research:

enter the discourse, or conversation, of other writers and scholars in your field

learn how others in your field use primary and secondary resources

find and understand raw data and information

For the formal academic research assignment, consider an organizational pattern typically used for primary academic research.  The pattern includes the following: introduction, methods, results, discussion, and conclusions/recommendations.

Usually, research papers flow from the general to the specific and back to the general in their organization. The introduction uses a general-to-specific movement in its organization, establishing the thesis and setting the context for the conversation. The methods and results sections are more detailed and specific, providing support for the generalizations made in the introduction. The discussion section moves toward an increasingly more general discussion of the subject, leading to the conclusions and recommendations, which then generalize the conversation again.

Sections of a Formal Structure

The introduction section.

Many students will find that writing a structured  introduction  gets them started and gives them the focus needed to significantly improve their entire paper. 

Introductions usually have three parts:

presentation of the problem statement, the topic, or the research inquiry

purpose and focus of your paper

summary or overview of the writer’s position or arguments

In the first part of the introduction—the presentation of the problem or the research inquiry—state the problem or express it so that the question is implied. Then, sketch the background on the problem and review the literature on it to give your readers a context that shows them how your research inquiry fits into the conversation currently ongoing in your subject area. 

In the second part of the introduction, state your purpose and focus. Here, you may even present your actual thesis. Sometimes your purpose statement can take the place of the thesis by letting your reader know your intentions. 

The third part of the introduction, the summary or overview of the paper, briefly leads readers through the discussion, forecasting the main ideas and giving readers a blueprint for the paper. 

The following example provides a blueprint for a well-organized introduction.

Example of an Introduction

Entrepreneurial Marketing: The Critical Difference

In an article in the Harvard Business Review, John A. Welsh and Jerry F. White remind us that “a small business is not a little big business.” An entrepreneur is not a multinational conglomerate but a profit-seeking individual. To survive, he must have a different outlook and must apply different principles to his endeavors than does the president of a large or even medium-sized corporation. Not only does the scale of small and big businesses differ, but small businesses also suffer from what the Harvard Business Review article calls “resource poverty.” This is a problem and opportunity that requires an entirely different approach to marketing. Where large ad budgets are not necessary or feasible, where expensive ad production squanders limited capital, where every marketing dollar must do the work of two dollars, if not five dollars or even ten, where a person’s company, capital, and material well-being are all on the line—that is, where guerrilla marketing can save the day and secure the bottom line (Levinson, 1984, p. 9).

By reviewing the introductions to research articles in the discipline in which you are writing your research paper, you can get an idea of what is considered the norm for that discipline. Study several of these before you begin your paper so that you know what may be expected. If you are unsure of the kind of introduction your paper needs, ask your professor for more information.  The introduction is normally written in present tense.

THE METHODS SECTION

The methods section of your research paper should describe in detail what methodology and special materials if any, you used to think through or perform your research. You should include any materials you used or designed for yourself, such as questionnaires or interview questions, to generate data or information for your research paper. You want to include any methodologies that are specific to your particular field of study, such as lab procedures for a lab experiment or data-gathering instruments for field research. The methods section is usually written in the past tense.

THE RESULTS SECTION

How you present the results of your research depends on what kind of research you did, your subject matter, and your readers’ expectations. 

Quantitative information —data that can be measured—can be presented systematically and economically in tables, charts, and graphs. Quantitative information includes quantities and comparisons of sets of data. 

Qualitative information , which includes brief descriptions, explanations, or instructions, can also be presented in prose tables. This kind of descriptive or explanatory information, however, is often presented in essay-like prose or even lists.

There are specific conventions for creating tables, charts, and graphs and organizing the information they contain. In general, you should use them only when you are sure they will enlighten your readers rather than confuse them. In the accompanying explanation and discussion, always refer to the graphic by number and explain specifically what you are referring to; you can also provide a caption for the graphic. The rule of thumb for presenting a graphic is first to introduce it by name, show it, and then interpret it. The results section is usually written in the past tense.

THE DISCUSSION SECTION

Your discussion section should generalize what you have learned from your research. One way to generalize is to explain the consequences or meaning of your results and then make your points that support and refer back to the statements you made in your introduction. Your discussion should be organized so that it relates directly to your thesis. You want to avoid introducing new ideas here or discussing tangential issues not directly related to the exploration and discovery of your thesis. The discussion section, along with the introduction, is usually written in the present tense.

THE CONCLUSIONS AND RECOMMENDATIONS SECTION

Your conclusion ties your research to your thesis, binding together all the main ideas in your thinking and writing. By presenting the logical outcome of your research and thinking, your conclusion answers your research inquiry for your reader. Your conclusions should relate directly to the ideas presented in your introduction section and should not present any new ideas.

You may be asked to present your recommendations separately in your research assignment. If so, you will want to add some elements to your conclusion section. For example, you may be asked to recommend a course of action, make a prediction, propose a solution to a problem, offer a judgment, or speculate on the implications and consequences of your ideas. The conclusions and recommendations section is usually written in the present tense.

Key Takeaways

• For the formal academic research assignment, consider an organizational pattern typically used for primary academic research. 
•  The pattern includes the following: introduction, methods, results, discussion, and conclusions/recommendations.

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Table of Contents: Online Guide to Writing

Chapter 1: College Writing

How Does College Writing Differ from Workplace Writing?

What Is College Writing?

Why So Much Emphasis on Writing?

Chapter 2: The Writing Process

Doing Exploratory Research

Getting from Notes to Your Draft

Introduction

Prewriting - Techniques to Get Started - Mining Your Intuition

Prewriting: Targeting Your Audience

Prewriting: Techniques to Get Started

Prewriting: Understanding Your Assignment

Rewriting: Being Your Own Critic

Rewriting: Creating a Revision Strategy

Rewriting: Getting Feedback

Rewriting: The Final Draft

Techniques to Get Started - Outlining

Techniques to Get Started - Using Systematic Techniques

Thesis Statement and Controlling Idea

Writing: Getting from Notes to Your Draft - Freewriting

Writing: Getting from Notes to Your Draft - Summarizing Your Ideas

Writing: Outlining What You Will Write

Chapter 3: Thinking Strategies

A Word About Style, Voice, and Tone

A Word About Style, Voice, and Tone: Style Through Vocabulary and Diction

Critical Strategies and Writing

Critical Strategies and Writing: Analysis

Critical Strategies and Writing: Evaluation

Critical Strategies and Writing: Persuasion

Critical Strategies and Writing: Synthesis

Developing a Paper Using Strategies

Kinds of Assignments You Will Write

Patterns for Presenting Information

Patterns for Presenting Information: Critiques

Patterns for Presenting Information: Discussing Raw Data

Patterns for Presenting Information: General-to-Specific Pattern

Patterns for Presenting Information: Problem-Cause-Solution Pattern

Patterns for Presenting Information: Specific-to-General Pattern

Patterns for Presenting Information: Summaries and Abstracts

Supporting with Research and Examples

Writing Essay Examinations

Writing Essay Examinations: Make Your Answer Relevant and Complete

Writing Essay Examinations: Organize Thinking Before Writing

Writing Essay Examinations: Read and Understand the Question

Chapter 4: The Research Process

Planning and Writing a Research Paper

Planning and Writing a Research Paper: Ask a Research Question

Planning and Writing a Research Paper: Cite Sources

Planning and Writing a Research Paper: Collect Evidence

Planning and Writing a Research Paper: Decide Your Point of View, or Role, for Your Research

Planning and Writing a Research Paper: Draw Conclusions

Planning and Writing a Research Paper: Find a Topic and Get an Overview

Planning and Writing a Research Paper: Manage Your Resources

Planning and Writing a Research Paper: Outline

Planning and Writing a Research Paper: Survey the Literature

Planning and Writing a Research Paper: Work Your Sources into Your Research Writing

Research Resources: Where Are Research Resources Found? - Human Resources

Research Resources: What Are Research Resources?

Research Resources: Where Are Research Resources Found?

Research Resources: Where Are Research Resources Found? - Electronic Resources

Research Resources: Where Are Research Resources Found? - Print Resources

Structuring the Research Paper: Formal Research Structure

Structuring the Research Paper: Informal Research Structure

The Nature of Research

The Research Assignment: How Should Research Sources Be Evaluated?

The Research Assignment: When Is Research Needed?

The Research Assignment: Why Perform Research?

Chapter 5: Academic Integrity

Academic Integrity

Giving Credit to Sources

Giving Credit to Sources: Copyright Laws

Giving Credit to Sources: Documentation

Giving Credit to Sources: Style Guides

Integrating Sources

Practicing Academic Integrity

Practicing Academic Integrity: Keeping Accurate Records

Practicing Academic Integrity: Managing Source Material

Practicing Academic Integrity: Managing Source Material - Paraphrasing Your Source

Practicing Academic Integrity: Managing Source Material - Quoting Your Source

Practicing Academic Integrity: Managing Source Material - Summarizing Your Sources

Types of Documentation

Types of Documentation: Bibliographies and Source Lists

Types of Documentation: Citing World Wide Web Sources

Types of Documentation: In-Text or Parenthetical Citations

Types of Documentation: In-Text or Parenthetical Citations - APA Style

Types of Documentation: In-Text or Parenthetical Citations - CSE/CBE Style

Types of Documentation: In-Text or Parenthetical Citations - Chicago Style

Types of Documentation: In-Text or Parenthetical Citations - MLA Style

Types of Documentation: Note Citations

Chapter 6: Using Library Resources

Finding Library Resources

Chapter 7: Assessing Your Writing

How Is Writing Graded?

How Is Writing Graded?: A General Assessment Tool

The Draft Stage

The Draft Stage: The First Draft

The Draft Stage: The Revision Process and the Final Draft

The Draft Stage: Using Feedback

The Research Stage

Using Assessment to Improve Your Writing

Chapter 8: Other Frequently Assigned Papers

Reviews and Reaction Papers: Article and Book Reviews

Reviews and Reaction Papers: Reaction Papers

Writing Arguments

Writing Arguments: Adapting the Argument Structure

Writing Arguments: Purposes of Argument

Writing Arguments: References to Consult for Writing Arguments

Writing Arguments: Steps to Writing an Argument - Anticipate Active Opposition

Writing Arguments: Steps to Writing an Argument - Determine Your Organization

Writing Arguments: Steps to Writing an Argument - Develop Your Argument

Writing Arguments: Steps to Writing an Argument - Introduce Your Argument

Writing Arguments: Steps to Writing an Argument - State Your Thesis or Proposition

Writing Arguments: Steps to Writing an Argument - Write Your Conclusion

Writing Arguments: Types of Argument

Appendix A: Books to Help Improve Your Writing

Dictionaries

General Style Manuals

Researching on the Internet

Special Style Manuals

Writing Handbooks

Appendix B: Collaborative Writing and Peer Reviewing

Collaborative Writing: Assignments to Accompany the Group Project

Collaborative Writing: Informal Progress Report

Collaborative Writing: Issues to Resolve

Collaborative Writing: Methodology

Collaborative Writing: Peer Evaluation

Collaborative Writing: Tasks of Collaborative Writing Group Members

Collaborative Writing: Writing Plan

General Introduction

Peer Reviewing

Appendix C: Developing an Improvement Plan

Working with Your Instructor’s Comments and Grades

Appendix D: Writing Plan and Project Schedule

Devising a Writing Project Plan and Schedule

Reviewing Your Plan with Others

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Research progress on the quality, extraction technology, food application, and physiological function of rice bran oil.

1. Introduction

2. methodology, 3. nutritional quality of rice bran oil, 3.1. free fatty acids (ffa), 3.2. γ-oryzanol, 3.3. vitamin e, 3.4. phytosterol, 3.5. phenolic compounds, 4. safety quality of rice bran oil, 4.1. oil oxidation mechanism, 4.2. stabilization of rice bran, 5. extraction and refining of rice bran oil, 5.1. extraction technology of rice bran oil, 5.1.1. enzyme-assisted extraction, 5.1.2. ultrasonic-assisted extraction, 5.1.3. supercritical and subcritical co 2 extraction, 5.1.4. microwave-assisted extraction, 5.1.5. subcritical fluid extraction, 5.1.6. co 2 expansion liquid extraction, 5.2. refining rice bran oil and extraction of bioactive substances, 5.2.1. deacidification, 5.2.2. decolorization, 5.2.3. deodorization, 5.2.4. glyceride removal, 5.2.5. extraction of γ-oryzanol and tocopherol, 6. application of rice bran oil in food, 6.1. improved quality of other edible oils, 6.2. preparation of gel to replace fat, 6.3. supplementary nutrition, 7. physiological functions of rice bran oil, 7.1. antioxidant and anti-inflammatory activities, 7.2. reduction of blood lipids and prevention of cardiovascular diseases, 7.3. cancer prevention, 7.4. neuroprotective effect, 8. challenges, limitations, and future research directions, author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.

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Huang, W.; Liu, B.; Shi, D.; Cheng, A.; Chen, G.; Liu, F.; Dong, J.; Lan, J.; Hong, B.; Zhang, S.; et al. Research Progress on the Quality, Extraction Technology, Food Application, and Physiological Function of Rice Bran Oil. Foods 2024 , 13 , 3262. https://doi.org/10.3390/foods13203262

Huang W, Liu B, Shi D, Cheng A, Chen G, Liu F, Dong J, Lan J, Hong B, Zhang S, et al. Research Progress on the Quality, Extraction Technology, Food Application, and Physiological Function of Rice Bran Oil. Foods . 2024; 13(20):3262. https://doi.org/10.3390/foods13203262

Huang, Wengong, Baohai Liu, Dongmei Shi, Aihua Cheng, Guofeng Chen, Feng Liu, Jiannan Dong, Jing Lan, Bin Hong, Shan Zhang, and et al. 2024. "Research Progress on the Quality, Extraction Technology, Food Application, and Physiological Function of Rice Bran Oil" Foods 13, no. 20: 3262. https://doi.org/10.3390/foods13203262

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• Open access
• Published: 15 October 2024

Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing

• Pritam Chakraborty 1 ,
• Anjan Bandyopadhyay 1 ,
• Preeti Padma Sahu 1 ,
• Aniket Burman 1 ,
• Saurav Mallik 2 ,
• Najah Alsubaie 3 ,
• Mohamed Abbas 4 ,
• Mohammed S. Alqahtani 5 , 6 &
• Ben Othman Soufiene 7  

BMC Bioinformatics volume  25 , Article number:  329 ( 2024 ) Cite this article

Metrics details

Stroke prediction remains a critical area of research in healthcare, aiming to enhance early intervention and patient care strategies. This study investigates the efficacy of machine learning techniques, particularly principal component analysis (PCA) and a stacking ensemble method, for predicting stroke occurrences based on demographic, clinical, and lifestyle factors. We systematically varied PCA components and implemented a stacking model comprising random forest, decision tree, and K-nearest neighbors (KNN).Our findings demonstrate that setting PCA components to 16 optimally enhanced predictive accuracy, achieving a remarkable 98.6% accuracy in stroke prediction. Evaluation metrics underscored the robustness of our approach in handling class imbalance and improving model performance, also comparative analyses against traditional machine learning algorithms such as SVM, logistic regression, and Naive Bayes highlighted the superiority of our proposed method.

Peer Review reports

Introduction

The global population’s growth has coincided with a concerning surge in cases of brain strokes, leading to a notable increase in annual fatalities by 2023. With the number of stroke-related deaths on the rise, the imperative to address this crisis has become increasingly urgent. This alarming trend has propelled stroke research to the forefront of medical exploration.

Machine learning algorithms have shown promise in revolutionizing stroke prediction by analyzing extensive datasets encompassing demographic information, medical histories, and physiological markers like age, blood pressure, and glucose levels [ 1 , 2 ]. However, the deployment of these algorithms in clinical settings presents challenges that must be addressed. One significant concern is the potential bias embedded within training data, which can lead to skewed predictions and inequitable healthcare outcomes [ 3 ]. Biases may arise from incomplete or unrepresentative datasets, socioeconomic factors, or disparities in healthcare access.

To mitigate these challenges, ensemble learning methods such as stacking have emerged as a robust approach.Our model which involves stacking integrates predictions from the base classifiers-random forest, Decision Tree and final estimator which is KNN-to enhance predictive accuracy and robustness. By combining multiple classifiers, stacking can mitigate the impact of biases inherent in individual models and improve the generalization capability of the overall predictive system.

Additionally, principal component analysis (PCA) is a powerful dimensionality reduction technique which is used for transforming complex datasets into a lower-dimensional space while retaining most of the essential information, PCA aids in simplifying data representations by linearly transforming the original features into orthogonal features known as principal components, which are ordered based on the variance they explain. Through the identification of eigenvectors and eigenvalues from the covariance matrix of the data, PCA captures the directions of maximum variance and their respective magnitudes [ 4 , 5 , 6 ]. PCA finds applications in various domains, including data visualization, noise reduction, and feature extraction [ 7 , 8 ]. Through a pioneering method for predictive analysis in ischemic brain stroke utilizing advanced machine learning techniques i.e, diverse ML algorithms and ensemble learning strategies, proposed research has achieved exceptional predictive accuracy, reaching an impressive 98.6%.

Ensemble learning has become a focal point in the machine learning and computational intelligence fields because it offers a way to enhance prediction accuracy by pooling together multiple classifiers. While initially used to improve classification accuracy, ensemble methods have evolved to tackle a wide range of real-world issues such as adapting to changing concepts, correcting errors, selecting the most relevant features, learning incrementally, and estimating confidence levels. Researchers have delved deeply into various fusion techniques and the components that make up ensembles, leading to significant advancements in recent years [ 9 , 10 , 11 , 12 ].

The benefits of this research are multifaceted: enhanced prediction accuracy by combining multiple machine learning algorithms, efficient data utilization through proper data preprocessing and dimensionality reduction, early detection of high-risk individuals for timely intervention, support for personalized medicine by tailoring treatment plans, elucidation of key risk factors driving further research. Clinically, this method enables early detection of high-risk individuals, allowing for timely intervention and better resource allocation, and supports personalized medicine by tailoring treatment plans to individual risk profiles. Additionally, the approach aids research by elucidating key risk factors, driving further investigations into stroke prevention and treatment. Overall, this comprehensive method significantly contributes to early detection and prevention efforts, improving patient outcomes and addressing stroke-related healthcare challenges [ 13 , 14 ].

This paper seeks to bridge the gap between machine learning and brain stroke identification. By harnessing the power of ensemble methods and classifier fusion, it aims to not only improve predictive accuracy but also streamline the process of identifying strokes early on. If successful, these advancements could revolutionize medical practices, paving the way for more effective interventions and ultimately saving lives.

We propose a pioneering approach to stroke prediction, leveraging advanced machine learning techniques and introducing a novel stacking methodology. Our research stands out for its innovative contribution in showcasing the robust performance of this stacking technique across a spectrum of crucial healthcare metrics. We demonstrate the potential of our proposed approach, thereby enhancing patient outcomes and healthcare management strategies.

Literature survey

Stroke prediction research has witnessed significant advancements through the application of machine learning (ML) techniques, contributing to improved accuracy and timely interventions. This review synthesizes findings from recent studies focusing on ML approaches for stroke prediction, emphasizing algorithmic performance, feature selection methodologies, model interpretability, and key results.

In [ 15 ], an innovative stroke detection algorithm is presented, employing various ML classifiers such as Naïve Bayes, logistic regression, XgBoost, and support vector machines (SVM). Notably, the support vector machine algorithm outperformed other models, achieving exceptional accuracy (98.6%) and precision (99.9%). However, the paper lacks explicit discussions on feature selection and data preprocessing strategies.

In [ 16 ], researchers develop an ML-based stroke prediction algorithm utilizing readily available data from patients’ hospital presentations and investigating the impact of social determinants of health (SDoH) variables. The study reports high sensitivity and reasonable specificity of the ML stroke prediction algorithm, with significant improvements observed upon the inclusion of individual-level SDoH features. Importantly, experimental results demonstrate consistent outperformance of ML classifiers over logistic regression, with AUC improvements from 0.694 to 0.823 with the inclusion of SDoH features.

Moreover, [ 17 ] employs logistic regression (LR) with recursive feature selection (RFE) to predict stroke and Transient Ischemic Attack (TIA) diagnosis, highlighting the predictive utility of patient-reported symptoms. ML techniques achieve impressive performance metrics, with AUC exceeding 0.94 for stroke outcome prediction and notable enhancements upon incorporating follow-up data.

In [ 18 ], the stacking classification method emerges as a superior approach, showcasing high performance across multiple metrics, including an impressive AUC of 98.9% and an accuracy of 98%. The study underscores the efficacy of the stacking ensemble method, comprising base classifiers such as naive Bayes and random forests, with a logistic regression meta-classifier.

Additionally, [ 19 ] explores the interpretability of ML models for stroke prediction using SHAP and LIME techniques. Notably, Random Forest emerges as the top-performing algorithm with an accuracy score of 90.36%, followed closely by the XGB Classifier with an accuracy score of 89.02% [ 20 , 21 , 22 ].

In [ 23 ], machine learning (ML) is applied to predict early signs of ischemic stroke in emergency settings, although its predictive accuracy is constrained by the area under the receiver operating characteristic (AUC). The study highlights the XGBoost-based model’s superior predictive power for pre-screening ischemic stroke, particularly emphasizing the effectiveness of ML-based models using clinical laboratory features. Results showcase the XGBoost-based model’s highest accuracy in predicting ischemic stroke, alongside robust validation across multiple datasets. Additionally, the study demonstrates the XGBoost-based model’s ability to achieve high average sensitivities and specificities across training, internal validation, and external validation datasets, indicating its reliability for screening patients with ischemic stroke.

In [ 24 ], deep learning models are employed to forecast major adverse cerebrovascular events following acute ischemic stroke, furnishing personalized outcome predictions at an individual level. By leveraging clinical data and brain imaging, these models exhibit enhanced predictive accuracy for major adverse cerebrovascular events (MACEs) after acute ischemic stroke (AIS). Notably, deep learning techniques like DeepSurv and Deep-Survival-Machines surpass traditional survival models, marking a significant advancement in stroke prediction methodologies. Furthermore, the study provides comprehensive validation results, including AUC values and performance metrics such as sensitivity, specificity, classification accuracy, precision score, F1 score, and log loss across training, internal validation, and external validation datasets. These results underscore the reliability and robustness of deep learning models in predicting outcomes for AIS patients, thereby offering valuable insights for clinical decision-making and patient management [ 21 , 25 , 26 , 27 ].

The reviewed literature also shown in Table  1 highlights the diverse ML approaches utilized in stroke prediction and their substantial results. These findings underscore the potential of ML techniques to enhance stroke risk assessment, thereby facilitating proactive interventions and improving patient outcomes. However, further research is warranted to address challenges related to feature selection, model interpretability, and real-world validation.

This research aims to pioneer a pioneering approach to predictive analysis of Ischemic brain stroke with machine learning techniques. Initially, the study focuses on utilizing preference algorithms to discern the key traits using several machine learning techniques such as Logistic regression, support vector machine, decision tree and K-nearest neighbor. We utilized PCA for the reduction the dimensionality of the dataset.

Contributions of our study as follows:

Demonstrated the effectiveness of Principal Component Analysis (PCA) in optimizing model accuracy for stroke prediction.

Identified an optimal PCA configuration, specifically with 16 components, achieving a significant improvement in predictive performance.

Implemented a stacking ensemble method combining Random Forest, Decision Tree, and K-Nearest Neighbors (KNN), resulting in a high accuracy of 98.6%.

Showcased the potential of advanced machine learning techniques in enhancing stroke risk assessment and guiding preventive healthcare strategies.

The subsequent sections of this paper are organized as follows: in Sect.  2 , we elaborate on the feature Selection method and Classifier. Following that, in Sect.  3 , we present the experiment and results of our study, including a comparative analysis of our model with both the proposed model and other state-of-the-art methods.

Methodology

This dataset from Kaggle includes 5110 patients, with attributes such as gender, age, presence of hypertension, history of heart disease, marital status, type of work, residence type, average glucose level, body mass index (BMI), smoking status, and stroke occurrence. The gender attribute is categorical, the age is numerical, and hypertension and heart disease are binary indicators (1 for yes, 0 for no). Marital status is recorded as either married or not married, while work type categories include government job, never worked, private, self-employed, and children. Residence type is categorized as urban or rural. Average glucose level and BMI are continuous variables, and smoking status is categorized as never smoked, formerly smoked, or smokes. The target variable is stroke prediction, also a binary indicator (1 for stroke, 0 for no stroke). For every column, there are comprehensive explanations in Table 2 .

To rectify dataset imbalances and bolster model accuracy, we implement oversampling techniques. We aim to equalize representation across classes by increasing the number of instances in the minority class (stroke) to match that of the majority class (no stroke). Post-oversampling, both classes comprise 4861 cases each, ensuring a balanced dataset for training and testing. The disparity in stroke class distribution pre- and post-oversampling is visually depicted in the accompanying image. Figure  1 depicts for the same.

Distribution of stroke and no stroke cases before and after oversampling

We use the following features from the stroke prediction dataset, which is publicly available on Kaggle. Table 2 provides a detailed description of each feature.

Figures  2 and 3 depict the prevalence of heart disease and hypertension among participants who have experienced a stroke. In both figures, a significant proportion of participants who have had a stroke do not have a diagnosis of hypertension or heart disease.

Count-plot for hypertension cases in the dataset

Count-plot for heart disease cases in the dataset

Figures  4 and 5 display the prevalence of residence type and work type among participants who have experienced a stroke. These figures highlight that a significant proportion of participants who have had a stroke reside in urban areas and have a private work type.

Figures  6 and 7 display the prevalence of glucose level and smoking level among participants who have experienced a stroke.

Figure  8 display the correlation among various features. The figure provides valuable insights into the interplay and potential dependencies among these attributes, which are crucial for understanding the underlying patterns and dynamics within the dataset.

Distribution of resident types in the dataset

Distribution of work type in the dataset

Distribution of glucose in the dataset

Distribution of smoking status in the dataset

Correlation matrix of variables in the stroke dataset

Data pre-processing

Ensuring the quality of raw data is crucial for the accuracy of our final predictions, particularly in the presence of missing values and noisy data. Therefore, our research emphasizes the necessity of data preprocessing to enhance the appropriateness of the data for analysis. This preprocessing involves several steps, including the reduction of redundant values, feature selection, and data discretization.

An integral part of our data preprocessing strategy is addressing class imbalance, a common challenge in predictive modeling. To tackle this issue, we employ the Synthetic Minority Over-sampling Technique (SMOTE) within our proposed framework. By oversampling the minority class, specifically the ’stroke’ participants, we aim to achieve a more balanced distribution, thereby preventing biases in the predictive model.We addressed missing values within the BMI column by imputing them with the median value. This method ensures that the dataset remains robust and complete for subsequent analysis.

Flowchart illustrating data preprocessing steps

Figure  9 shows us the end-to-end flow charts of the preprocessing.

Data preprocessing

• Feature selection

This study explores the impact of varying the number of components in Principal Component Analysis (PCA) on the accuracy of stroke prediction models. By systematically adjusting the value of n from 1 to 16, we observed that the majority of models exhibited the highest accuracy when n was set to 16. Building upon this observation, we proceeded to implement a stacking ensemble method. In this approach, we combined the predictions from the three best-performing models: Random Forest and Decision Tree as base estimators, and K-Nearest Neighbors (KNN) as the final estimator.

Upon applying the stacking ensemble technique, we achieved a remarkable accuracy of 98.6%. This significant improvement underscores the efficacy of combining complementary strengths from multiple models to enhance predictive performance.

This research aims to compare the performance of various machine learning classifiers in predicting stroke occurrences after dimensionality reduction using PCA. We utilized PCA to reduce the dimensionality of the dataset and then trained several classifiers including Random Forest, SVM, XGBoost, Naive Bayes, KNN, Logistic Regression, and Decision Tree on the transformed data.

Before training the models, we conducted data preprocessing steps including handling missing values (replacing them with the median value for BMI), feature scaling, and splitting the data into training and testing sets. Each classifier was evaluated using accuracy scores, F1 scores, precision, and recall which were computed by comparing the model predictions with the actual labels in the test set.

The results of our analysis are presented in a data frame, showcasing the accuracy of each classifier for different numbers of PCA components. Some key risk factors can be identfied as:

Age: Older age significantly increases the risk of ischemic stroke.

Hypertension: High blood pressure is a major risk factor.

Diabetes: Diabetes mellitus is strongly associated with an increased risk.

Smoking: Tobacco use contributes to the risk of stroke.

Cholesterol levels: High levels of LDL cholesterol can lead to stroke.

Cardiovascular diseases: Conditions like atrial fibrillation and heart failure are critical predictors.

Lifestyle factors: Physical inactivity, poor diet, and obesity are important considerations.

Genetic factors: Family history and specific genetic markers can also be significant.

These factors are typically integrated into machine learning models to enhance the prediction accuracy of ischemic stroke outcomes.

The findings demonstrate that the performance of the classifiers varies with the number of PCA components, with certain classifiers exhibiting better accuracy than others. This information can guide the selection of an appropriate classifier for stroke prediction tasks based on the desired trade-off between computational complexity and predictive accuracy.

Classification

In our research paper, we’ve employed cutting-edge classification techniques to predict and mitigate the risk of stroke occurrences. Stacking, a sophisticated ensemble learning method, has been at the forefront of our approach, allowing us to amalgamate insights from base classifiers. This innovative fusion of classifiers has enabled us to discern intricate patterns and relationships in patient data, enhancing the precision and reliability of our predictive models.

Our methodology involved training a diverse ensemble of classifiers on comprehensive dataset. These classifiers, acting as the foundation, have collectively contributed to our understanding of stroke risk factors and prediction accuracy. Through iterative refinement and model aggregation facilitated by stacking, we’ve strived to push the boundaries of stroke prediction, aiming for more personalized healthcare interventions and improved patient outcomes.

Technical details

Principal component analysis (PCA): PCA was employed for dimensionality reduction, standardizing data, computing the covariance matrix, and projecting data onto principal components to retain 95% variance.

PCA assumes linearity and Gaussian distributions in the data, which may not always be applicable. This powerful dimensionality reduction technique some specific features in stroke prediction which provides valuable insights to medical professionals. In this context they are listed below:

Variance capture: PCA identifies and retains the components that explain the highest variance in the data, ensuring that the most informative aspects are prioritized.

Noise reduction: By filtering out less significant components, PCA reduces noise, which helps in making the prediction model more robust and accurate.

Multicollinearity handling: PCA transforms correlated features into uncorrelated principal components, addressing issues of multicollinearity that can affect model performance.

Simplification: It reduces the complexity of the dataset by lowering the number of features, which simplifies the model and enhances computational efficiency.

Base classifiers configuration:

Random forest: 500 trees, criterion = ‘entropy’, max depth = None, min samples leaf = 1, min samples split = 5

Decision tree: criterion = ‘entropy’, max depth = None, min samples leaf = 1, min samples split = 5

Stacking classifier training:

Base classifier training: Each base classifier was independently trained on the training dataset.

Level 1 data generation: Predictions from base classifiers were used to generate a new dataset, serving as input for the meta-classifier. This involved performing 5-fold cross-validation on the training set to avoid overfitting.

Meta-classifier (final estimator): K-nearest neighbors (KNN) with 5 neighbors and Euclidean distance metric.

Training and evaluation: The dataset was split into 80% training and 20% validation sets. Fivefold cross-validation was performed to tune hyperparameters and evaluate each classifier’s performance. Metrics such as accuracy, precision, recall, and F1-score were used to assess the stacking classifier’s effectiveness.

This comprehensive and detailed approach ensures robust and accurate stroke risk predictions, paving the way for personalized healthcare interventions and improved patient outcomes.

Experiment and results

Experimental setup.

To replicate our experiments, the following hardware and software were used:

CPU: Intel Core i7-9700K @ 3.60GHz GPU: NVIDIA GeForce RTX 2080 RAM: 32GB DDR4 Storage: 1TB SSD

Operating system: Ubuntu 20.04 LTS Programming Language: Python 3.8 Libraries: Scikit-learn 0.24.2 for machine learning algorithms NumPy 1.20.3 for numerical computations Pandas 1.3.3 for data manipulation Matplotlib 3.4.3 and Seaborn 0.11.2 for data visualization TensorFlow 2.6.0 and Keras 2.6.0 for deep learning models Development Environment: Jupyter Notebook and PyCharm These specifications provide a baseline for replicating our study and further developing the predictive model for ischemic stroke.

Evaluation metrics

In our investigation into predicting ischemic stroke occurrences, we evaluated the performance of our predictions by comparing them against actual data using predefined metrics. The dataset encompasses diverse patient characteristics pertinent to stroke prognosis.

Evaluation metrics are critical for analyzing the performance of categorization models. Accuracy is the proportion of properly identified cases overall, providing a broad measure of model performance. Precision highlights the fraction of true positive forecasts among all positive predictions, indicating how reliable positive predictions are. Recall, on the other hand, emphasizes the fraction of true positive predictions across all actual positive cases, demonstrating the model’s capacity to detect positives. Specificity is the proportion of genuine negative predictions among all real negative cases, demonstrating the model’s ability to identify negatives correctly. The F1-Score, which is the average of the harmonics of precision and recall, gives a balanced assessment that is especially beneficial in circumstances with uneven class distributions. These measurements provide insights into a model’s strengths and limitations, aiding in the Helping in maximizing efficiency and choosing the suitable models for classification jobs.

Performance of proposed method

Our algorithm’s precision is compared to other machine learning methods And a specific comparison is present in Table 3 ; not only that, we have compared other proposed methods with our method, Fig.  11 demonstrates the contrast of various state-of-the-art models and data refer Table 4 . We used the confusion matrix in Fig.  10 to obtain a better understanding of our model’s performance. We can pinpoint particular areas of strength or weakness in terms of accurately recognizing various classes or categories within the dataset by examining the matrix.

Our approach outperformed machine learning standards in predicting ischemic stroke, with an impressive accuracy of 98.6%. The evaluation, shown in Fig.  11 and described in Table 4 , placed our proposed method as a forerunner in the field. Comparative assessments of other proposed methods demonstrated their superiority. SQMLP obtained 86.78% accuracy, while GBT yielded 78% accuracy. In contrast, a hybrid machine learning technique attained an accuracy of 71.6%. Our model’s higher predictive skills in comparison to existing models illustrate its efficacy in predicting ischemic strokes (Figs. 12 , 13 , 14 , 15 ).

We verified our proposed method’s performance against established machine learning techniques (refer to Table 3 ). SVM-L had an accuracy of 51.118%, LR at 77.714%, MNB at 72.815%, SVM-R and NN at 74.88%, RF and KNN at 76.88%, and ADA at 80.437%. The method we used exceeded standards with an amazing accuracy of 98.6%. This significant achievement highlights the effectiveness of our approach, demonstrating its capacity as a successful instrument in stroke with ischemia prediction. Below we have provided a thorough analysis of the advantages and disadvantages of our proposed method:

Enhanced sensitivity: The stacking method helps in reducing false negatives by combining the strengths of multiple classifiers. This means that patients who are at risk of stroke but might be overlooked by a single model are more likely to be correctly identified.

Robustness to variability: By leveraging different algorithms, the model can better handle variability in patient data, which reduces the chance of missing true stroke cases.

Improved generalization: The ensemble approach improves the generalization capability of the method, thus enhancing its ability to correctly identify at-risk patients across different subgroups within the dataset.

Disadvantages

Complexity and interpretability: The stacking method increases the complexity of the proposed method, making it more difficult to interpret. This can be a drawback when explaining decisions to medical professionals or patients.

Resource intensive: Training and tuning multiple base classifiers and a meta-classifier require more computational resources and time, which can be a limitation in resource-constrained environments.

Potential overfitting: Despite efforts to avoid overfitting through techniques like cross-validation, there is still a risk that the stacked method could overfit to the training data, potentially leading to missed stroke cases in unseen data.

Generalizability: The effectiveness of the proposed methods may vary across different datasets and population demographics. Further validation on diverse datasets is necessary to assess its applicability in various clinical settings.

Data size limitation: The study may be constrained by the size and diversity of the dataset used. Larger datasets with more comprehensive features could provide further insights and improve model robustness.

Confusion matrix of predicted versus actual classes of our proposed method

Comparative testing accuracy of different models

Testing accuracy of all machine learning models

F1 score comparison with other machine learning models

Precision comparison with other machine learning models

Recall comparison with other machine learning models

TOPSIS analysis

The technique for order of preference by similarity to ideal solution (TOPSIS) is a method used for ranking and selection of alternatives based on their closeness to the ideal solution. The following subsections outline the steps involved in applying the TOPSIS method.

Normalize the decision matrix

We begin by normalizing the decision matrix. This step converts the various criteria dimensions into non-dimensional criteria, allowing comparisons across the different criteria. The normalization is done using the following formula:

where \(r_{ij}\) is the normalized value, \(x_{ij}\) is the original value, \(i\) is the index of the alternative, and \(j\) is the index of the criterion.

Refer to Table 5 for the normalized decision matrix.

Obtain the weighted standardized decision matrix

Since all criteria are considered equally important, each criterion is assigned an equal weight. Therefore, the weighted standardized decision matrix is the same as the normalized decision matrix in this case.

Identify the ideal and anti-ideal solutions

The ideal solution (best performance) and the anti-ideal solution (worst performance) are identified as follows:

Ideal solution (maximize) :

Accuracy: 1

Precision: 1

F1-score: 1

Anti-ideal solution (minimize) :

Accuracy: 0

Precision: 0

F1-score: 0

Calculate the Euclidean distances

The Euclidean distance between each alternative and the ideal/anti-ideal solutions is computed using the formula:

where \(D_i^+\) is the distance to the ideal solution, \(D_i^-\) is the distance to the anti-ideal solution, \(r_{ij}\) is the normalized value of the \(i\) -th alternative and \(j\) -th criterion, \(r_j^+\) is the ideal value for the \(j\) -th criterion, and \(r_j^-\) is the anti-ideal value for the \(j\) -th criterion.

Refer to Table 6 for the Euclidean distances.

Compute the relative closeness

The relative closeness of each alternative to the ideal solution is calculated using the formula:

Refer to Table 7 for the relative closeness values.

Rank the alternatives

Finally, the alternatives are ranked based on their relative closeness to the ideal solution. Higher relative closeness values indicate better rankings. The ranking results show that the Proposed Method has the highest relative closeness, indicating it is the best model among the alternatives evaluated.

Conclusion and future work

This study explores the efficacy of machine learning techniques in predicting stroke occurrences, leveraging Principal Component Analysis (PCA) and a stacking ensemble approach. By optimizing PCA with 16 components, we achieved a notable 98.6% accuracy using a stacked model comprising Random Forest, Decision Tree, and K-Nearest Neighbors (KNN). Our approach not only surpasses traditional models but also highlights the importance of rigorous feature selection and ensemble methods in enhancing predictive performance. These findings underscore the potential of advanced machine learning methodologies in healthcare, particularly for improving stroke risk assessment and patient management strategies.

Future work

In future work we will incorporate diverse datasets, including genetic, lifestyle, and high-tech imaging data, to strengthen the model’s predictive capabilities. Exploring deep learning techniques tailored for clinical interpretability and further advancements in ensemble learning methodologies offer promising pathways for improvement. To ensure real-world applicability, we propose a multi-phase clinical validation plan, starting with a pilot observational study in three hospitals, enrolling 200 patients. This study will assess the model’s accuracy against established diagnostic methods. Our ultimate goal is comprehensive clinical validation to enhance the model’s credibility and impact on patient care. We seek collaborations with healthcare institutions and funding agencies to support this endeavor, aiming to offer a robust tool for ischemic stroke prediction and patient management.

Data availability

The dataset used during the current study is available here.

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Acknowledgements

This research was financially supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R321), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/549/45.

This research was financially supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R321), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/549/45.

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School of computer engineering, KIIT University, Patia, Bhubaneswar, Odisha, 751024, India

Pritam Chakraborty, Anjan Bandyopadhyay, Preeti Padma Sahu & Aniket Burman

Department of Environmental Health, Harvard T H Chan School of public Health, 677 Harrington Avenue, Boston, MA, 02115, USA

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Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia

Najah Alsubaie

Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia

Mohamed Abbas

Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia

Mohammed S. Alqahtani

BioImaging Unit, Space Research Centre, University of Leicester, Michael Atiyah Building, Leicester, LE1 7RH, UK

PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia

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PC, AB, PPS, AB, SM, and NA were involved in the conceptualization and design of this system, and they also sourced funding for the project. MA and MSA conducted the data analysis and wrote the first draft of the manuscript. BOS was responsible for project management, monitoring, and evaluation of the study. All authors reviewed the manuscript and made significant contributions to its content.

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Chakraborty, P., Bandyopadhyay, A., Sahu, P.P. et al. Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing. BMC Bioinformatics 25 , 329 (2024). https://doi.org/10.1186/s12859-024-05866-8

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DOI : https://doi.org/10.1186/s12859-024-05866-8

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• Stroke prediction
• Machine learning
• Principal component analysis (PCA)
• Stacking ensemble
• Healthcare analytics
• Predictive modeling
• Class imbalance
• Early intervention

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