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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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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

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Chapter 11: Presenting Your Research

Writing a Research Report in American Psychological Association (APA) Style

Learning Objectives

• Identify the major sections of an APA-style research report and the basic contents of each section.
• Plan and write an effective APA-style research report.

In this section, we look at how to write an APA-style empirical research report , an article that presents the results of one or more new studies. Recall that the standard sections of an empirical research report provide a kind of outline. Here we consider each of these sections in detail, including what information it contains, how that information is formatted and organized, and tips for writing each section. At the end of this section is a sample APA-style research report that illustrates many of these principles.

Sections of a Research Report

Title page and abstract.

An APA-style research report begins with a  title page . The title is centred in the upper half of the page, with each important word capitalized. The title should clearly and concisely (in about 12 words or fewer) communicate the primary variables and research questions. This sometimes requires a main title followed by a subtitle that elaborates on the main title, in which case the main title and subtitle are separated by a colon. Here are some titles from recent issues of professional journals published by the American Psychological Association.

• Sex Differences in Coping Styles and Implications for Depressed Mood
• Effects of Aging and Divided Attention on Memory for Items and Their Contexts
• Computer-Assisted Cognitive Behavioural Therapy for Child Anxiety: Results of a Randomized Clinical Trial
• Virtual Driving and Risk Taking: Do Racing Games Increase Risk-Taking Cognitions, Affect, and Behaviour?

Below the title are the authors’ names and, on the next line, their institutional affiliation—the university or other institution where the authors worked when they conducted the research. As we have already seen, the authors are listed in an order that reflects their contribution to the research. When multiple authors have made equal contributions to the research, they often list their names alphabetically or in a randomly determined order.

In some areas of psychology, the titles of many empirical research reports are informal in a way that is perhaps best described as “cute.” They usually take the form of a play on words or a well-known expression that relates to the topic under study. Here are some examples from recent issues of the Journal Psychological Science .

• “Smells Like Clean Spirit: Nonconscious Effects of Scent on Cognition and Behavior”
• “Time Crawls: The Temporal Resolution of Infants’ Visual Attention”
• “Scent of a Woman: Men’s Testosterone Responses to Olfactory Ovulation Cues”
• “Apocalypse Soon?: Dire Messages Reduce Belief in Global Warming by Contradicting Just-World Beliefs”
• “Serial vs. Parallel Processing: Sometimes They Look Like Tweedledum and Tweedledee but They Can (and Should) Be Distinguished”
• “How Do I Love Thee? Let Me Count the Words: The Social Effects of Expressive Writing”

Individual researchers differ quite a bit in their preference for such titles. Some use them regularly, while others never use them. What might be some of the pros and cons of using cute article titles?

For articles that are being submitted for publication, the title page also includes an author note that lists the authors’ full institutional affiliations, any acknowledgments the authors wish to make to agencies that funded the research or to colleagues who commented on it, and contact information for the authors. For student papers that are not being submitted for publication—including theses—author notes are generally not necessary.

The  abstract  is a summary of the study. It is the second page of the manuscript and is headed with the word  Abstract . The first line is not indented. The abstract presents the research question, a summary of the method, the basic results, and the most important conclusions. Because the abstract is usually limited to about 200 words, it can be a challenge to write a good one.

Introduction

The  introduction  begins on the third page of the manuscript. The heading at the top of this page is the full title of the manuscript, with each important word capitalized as on the title page. The introduction includes three distinct subsections, although these are typically not identified by separate headings. The opening introduces the research question and explains why it is interesting, the literature review discusses relevant previous research, and the closing restates the research question and comments on the method used to answer it.

The Opening

The  opening , which is usually a paragraph or two in length, introduces the research question and explains why it is interesting. To capture the reader’s attention, researcher Daryl Bem recommends starting with general observations about the topic under study, expressed in ordinary language (not technical jargon)—observations that are about people and their behaviour (not about researchers or their research; Bem, 2003 [1] ). Concrete examples are often very useful here. According to Bem, this would be a poor way to begin a research report:

Festinger’s theory of cognitive dissonance received a great deal of attention during the latter part of the 20th century (p. 191)

The following would be much better:

The individual who holds two beliefs that are inconsistent with one another may feel uncomfortable. For example, the person who knows that he or she enjoys smoking but believes it to be unhealthy may experience discomfort arising from the inconsistency or disharmony between these two thoughts or cognitions. This feeling of discomfort was called cognitive dissonance by social psychologist Leon Festinger (1957), who suggested that individuals will be motivated to remove this dissonance in whatever way they can (p. 191).

After capturing the reader’s attention, the opening should go on to introduce the research question and explain why it is interesting. Will the answer fill a gap in the literature? Will it provide a test of an important theory? Does it have practical implications? Giving readers a clear sense of what the research is about and why they should care about it will motivate them to continue reading the literature review—and will help them make sense of it.

Breaking the Rules

Researcher Larry Jacoby reported several studies showing that a word that people see or hear repeatedly can seem more familiar even when they do not recall the repetitions—and that this tendency is especially pronounced among older adults. He opened his article with the following humourous anecdote:

A friend whose mother is suffering symptoms of Alzheimer’s disease (AD) tells the story of taking her mother to visit a nursing home, preliminary to her mother’s moving there. During an orientation meeting at the nursing home, the rules and regulations were explained, one of which regarded the dining room. The dining room was described as similar to a fine restaurant except that tipping was not required. The absence of tipping was a central theme in the orientation lecture, mentioned frequently to emphasize the quality of care along with the advantages of having paid in advance. At the end of the meeting, the friend’s mother was asked whether she had any questions. She replied that she only had one question: “Should I tip?” (Jacoby, 1999, p. 3)

Although both humour and personal anecdotes are generally discouraged in APA-style writing, this example is a highly effective way to start because it both engages the reader and provides an excellent real-world example of the topic under study.

The Literature Review

Immediately after the opening comes the  literature review , which describes relevant previous research on the topic and can be anywhere from several paragraphs to several pages in length. However, the literature review is not simply a list of past studies. Instead, it constitutes a kind of argument for why the research question is worth addressing. By the end of the literature review, readers should be convinced that the research question makes sense and that the present study is a logical next step in the ongoing research process.

Like any effective argument, the literature review must have some kind of structure. For example, it might begin by describing a phenomenon in a general way along with several studies that demonstrate it, then describing two or more competing theories of the phenomenon, and finally presenting a hypothesis to test one or more of the theories. Or it might describe one phenomenon, then describe another phenomenon that seems inconsistent with the first one, then propose a theory that resolves the inconsistency, and finally present a hypothesis to test that theory. In applied research, it might describe a phenomenon or theory, then describe how that phenomenon or theory applies to some important real-world situation, and finally suggest a way to test whether it does, in fact, apply to that situation.

Looking at the literature review in this way emphasizes a few things. First, it is extremely important to start with an outline of the main points that you want to make, organized in the order that you want to make them. The basic structure of your argument, then, should be apparent from the outline itself. Second, it is important to emphasize the structure of your argument in your writing. One way to do this is to begin the literature review by summarizing your argument even before you begin to make it. “In this article, I will describe two apparently contradictory phenomena, present a new theory that has the potential to resolve the apparent contradiction, and finally present a novel hypothesis to test the theory.” Another way is to open each paragraph with a sentence that summarizes the main point of the paragraph and links it to the preceding points. These opening sentences provide the “transitions” that many beginning researchers have difficulty with. Instead of beginning a paragraph by launching into a description of a previous study, such as “Williams (2004) found that…,” it is better to start by indicating something about why you are describing this particular study. Here are some simple examples:

Another example of this phenomenon comes from the work of Williams (2004).

Williams (2004) offers one explanation of this phenomenon.

An alternative perspective has been provided by Williams (2004).

We used a method based on the one used by Williams (2004).

Finally, remember that your goal is to construct an argument for why your research question is interesting and worth addressing—not necessarily why your favourite answer to it is correct. In other words, your literature review must be balanced. If you want to emphasize the generality of a phenomenon, then of course you should discuss various studies that have demonstrated it. However, if there are other studies that have failed to demonstrate it, you should discuss them too. Or if you are proposing a new theory, then of course you should discuss findings that are consistent with that theory. However, if there are other findings that are inconsistent with it, again, you should discuss them too. It is acceptable to argue that the  balance  of the research supports the existence of a phenomenon or is consistent with a theory (and that is usually the best that researchers in psychology can hope for), but it is not acceptable to  ignore contradictory evidence. Besides, a large part of what makes a research question interesting is uncertainty about its answer.

The Closing

The  closing  of the introduction—typically the final paragraph or two—usually includes two important elements. The first is a clear statement of the main research question or hypothesis. This statement tends to be more formal and precise than in the opening and is often expressed in terms of operational definitions of the key variables. The second is a brief overview of the method and some comment on its appropriateness. Here, for example, is how Darley and Latané (1968) [2] concluded the introduction to their classic article on the bystander effect:

These considerations lead to the hypothesis that the more bystanders to an emergency, the less likely, or the more slowly, any one bystander will intervene to provide aid. To test this proposition it would be necessary to create a situation in which a realistic “emergency” could plausibly occur. Each subject should also be blocked from communicating with others to prevent his getting information about their behaviour during the emergency. Finally, the experimental situation should allow for the assessment of the speed and frequency of the subjects’ reaction to the emergency. The experiment reported below attempted to fulfill these conditions. (p. 378)

Thus the introduction leads smoothly into the next major section of the article—the method section.

The  method section  is where you describe how you conducted your study. An important principle for writing a method section is that it should be clear and detailed enough that other researchers could replicate the study by following your “recipe.” This means that it must describe all the important elements of the study—basic demographic characteristics of the participants, how they were recruited, whether they were randomly assigned, how the variables were manipulated or measured, how counterbalancing was accomplished, and so on. At the same time, it should avoid irrelevant details such as the fact that the study was conducted in Classroom 37B of the Industrial Technology Building or that the questionnaire was double-sided and completed using pencils.

The method section begins immediately after the introduction ends with the heading “Method” (not “Methods”) centred on the page. Immediately after this is the subheading “Participants,” left justified and in italics. The participants subsection indicates how many participants there were, the number of women and men, some indication of their age, other demographics that may be relevant to the study, and how they were recruited, including any incentives given for participation.

After the participants section, the structure can vary a bit. Figure 11.1 shows three common approaches. In the first, the participants section is followed by a design and procedure subsection, which describes the rest of the method. This works well for methods that are relatively simple and can be described adequately in a few paragraphs. In the second approach, the participants section is followed by separate design and procedure subsections. This works well when both the design and the procedure are relatively complicated and each requires multiple paragraphs.

What is the difference between design and procedure? The design of a study is its overall structure. What were the independent and dependent variables? Was the independent variable manipulated, and if so, was it manipulated between or within subjects? How were the variables operationally defined? The procedure is how the study was carried out. It often works well to describe the procedure in terms of what the participants did rather than what the researchers did. For example, the participants gave their informed consent, read a set of instructions, completed a block of four practice trials, completed a block of 20 test trials, completed two questionnaires, and were debriefed and excused.

In the third basic way to organize a method section, the participants subsection is followed by a materials subsection before the design and procedure subsections. This works well when there are complicated materials to describe. This might mean multiple questionnaires, written vignettes that participants read and respond to, perceptual stimuli, and so on. The heading of this subsection can be modified to reflect its content. Instead of “Materials,” it can be “Questionnaires,” “Stimuli,” and so on.

The  results section  is where you present the main results of the study, including the results of the statistical analyses. Although it does not include the raw data—individual participants’ responses or scores—researchers should save their raw data and make them available to other researchers who request them. Several journals now encourage the open sharing of raw data online.

Although there are no standard subsections, it is still important for the results section to be logically organized. Typically it begins with certain preliminary issues. One is whether any participants or responses were excluded from the analyses and why. The rationale for excluding data should be described clearly so that other researchers can decide whether it is appropriate. A second preliminary issue is how multiple responses were combined to produce the primary variables in the analyses. For example, if participants rated the attractiveness of 20 stimulus people, you might have to explain that you began by computing the mean attractiveness rating for each participant. Or if they recalled as many items as they could from study list of 20 words, did you count the number correctly recalled, compute the percentage correctly recalled, or perhaps compute the number correct minus the number incorrect? A third preliminary issue is the reliability of the measures. This is where you would present test-retest correlations, Cronbach’s α, or other statistics to show that the measures are consistent across time and across items. A final preliminary issue is whether the manipulation was successful. This is where you would report the results of any manipulation checks.

The results section should then tackle the primary research questions, one at a time. Again, there should be a clear organization. One approach would be to answer the most general questions and then proceed to answer more specific ones. Another would be to answer the main question first and then to answer secondary ones. Regardless, Bem (2003) [3] suggests the following basic structure for discussing each new result:

• Remind the reader of the research question.
• Give the answer to the research question in words.
• Present the relevant statistics.
• Qualify the answer if necessary.
• Summarize the result.

Notice that only Step 3 necessarily involves numbers. The rest of the steps involve presenting the research question and the answer to it in words. In fact, the basic results should be clear even to a reader who skips over the numbers.

The  discussion  is the last major section of the research report. Discussions usually consist of some combination of the following elements:

• Summary of the research
• Theoretical implications
• Practical implications
• Limitations
• Suggestions for future research

The discussion typically begins with a summary of the study that provides a clear answer to the research question. In a short report with a single study, this might require no more than a sentence. In a longer report with multiple studies, it might require a paragraph or even two. The summary is often followed by a discussion of the theoretical implications of the research. Do the results provide support for any existing theories? If not, how  can  they be explained? Although you do not have to provide a definitive explanation or detailed theory for your results, you at least need to outline one or more possible explanations. In applied research—and often in basic research—there is also some discussion of the practical implications of the research. How can the results be used, and by whom, to accomplish some real-world goal?

The theoretical and practical implications are often followed by a discussion of the study’s limitations. Perhaps there are problems with its internal or external validity. Perhaps the manipulation was not very effective or the measures not very reliable. Perhaps there is some evidence that participants did not fully understand their task or that they were suspicious of the intent of the researchers. Now is the time to discuss these issues and how they might have affected the results. But do not overdo it. All studies have limitations, and most readers will understand that a different sample or different measures might have produced different results. Unless there is good reason to think they  would have, however, there is no reason to mention these routine issues. Instead, pick two or three limitations that seem like they could have influenced the results, explain how they could have influenced the results, and suggest ways to deal with them.

Most discussions end with some suggestions for future research. If the study did not satisfactorily answer the original research question, what will it take to do so? What  new  research questions has the study raised? This part of the discussion, however, is not just a list of new questions. It is a discussion of two or three of the most important unresolved issues. This means identifying and clarifying each question, suggesting some alternative answers, and even suggesting ways they could be studied.

Finally, some researchers are quite good at ending their articles with a sweeping or thought-provoking conclusion. Darley and Latané (1968) [4] , for example, ended their article on the bystander effect by discussing the idea that whether people help others may depend more on the situation than on their personalities. Their final sentence is, “If people understand the situational forces that can make them hesitate to intervene, they may better overcome them” (p. 383). However, this kind of ending can be difficult to pull off. It can sound overreaching or just banal and end up detracting from the overall impact of the article. It is often better simply to end when you have made your final point (although you should avoid ending on a limitation).

The references section begins on a new page with the heading “References” centred at the top of the page. All references cited in the text are then listed in the format presented earlier. They are listed alphabetically by the last name of the first author. If two sources have the same first author, they are listed alphabetically by the last name of the second author. If all the authors are the same, then they are listed chronologically by the year of publication. Everything in the reference list is double-spaced both within and between references.

Appendices, Tables, and Figures

Appendices, tables, and figures come after the references. An  appendix  is appropriate for supplemental material that would interrupt the flow of the research report if it were presented within any of the major sections. An appendix could be used to present lists of stimulus words, questionnaire items, detailed descriptions of special equipment or unusual statistical analyses, or references to the studies that are included in a meta-analysis. Each appendix begins on a new page. If there is only one, the heading is “Appendix,” centred at the top of the page. If there is more than one, the headings are “Appendix A,” “Appendix B,” and so on, and they appear in the order they were first mentioned in the text of the report.

After any appendices come tables and then figures. Tables and figures are both used to present results. Figures can also be used to illustrate theories (e.g., in the form of a flowchart), display stimuli, outline procedures, and present many other kinds of information. Each table and figure appears on its own page. Tables are numbered in the order that they are first mentioned in the text (“Table 1,” “Table 2,” and so on). Figures are numbered the same way (“Figure 1,” “Figure 2,” and so on). A brief explanatory title, with the important words capitalized, appears above each table. Each figure is given a brief explanatory caption, where (aside from proper nouns or names) only the first word of each sentence is capitalized. More details on preparing APA-style tables and figures are presented later in the book.

Sample APA-Style Research Report

Figures 11.2, 11.3, 11.4, and 11.5 show some sample pages from an APA-style empirical research report originally written by undergraduate student Tomoe Suyama at California State University, Fresno. The main purpose of these figures is to illustrate the basic organization and formatting of an APA-style empirical research report, although many high-level and low-level style conventions can be seen here too.

Key Takeaways

• An APA-style empirical research report consists of several standard sections. The main ones are the abstract, introduction, method, results, discussion, and references.
• The introduction consists of an opening that presents the research question, a literature review that describes previous research on the topic, and a closing that restates the research question and comments on the method. The literature review constitutes an argument for why the current study is worth doing.
• The method section describes the method in enough detail that another researcher could replicate the study. At a minimum, it consists of a participants subsection and a design and procedure subsection.
• The results section describes the results in an organized fashion. Each primary result is presented in terms of statistical results but also explained in words.
• The discussion typically summarizes the study, discusses theoretical and practical implications and limitations of the study, and offers suggestions for further research.
• Practice: Look through an issue of a general interest professional journal (e.g.,  Psychological Science ). Read the opening of the first five articles and rate the effectiveness of each one from 1 ( very ineffective ) to 5 ( very effective ). Write a sentence or two explaining each rating.
• Practice: Find a recent article in a professional journal and identify where the opening, literature review, and closing of the introduction begin and end.
• Practice: Find a recent article in a professional journal and highlight in a different colour each of the following elements in the discussion: summary, theoretical implications, practical implications, limitations, and suggestions for future research.

Long Descriptions

Figure 11.1 long description: Table showing three ways of organizing an APA-style method section.

In the simple method, there are two subheadings: “Participants” (which might begin “The participants were…”) and “Design and procedure” (which might begin “There were three conditions…”).

In the typical method, there are three subheadings: “Participants” (“The participants were…”), “Design” (“There were three conditions…”), and “Procedure” (“Participants viewed each stimulus on the computer screen…”).

In the complex method, there are four subheadings: “Participants” (“The participants were…”), “Materials” (“The stimuli were…”), “Design” (“There were three conditions…”), and “Procedure” (“Participants viewed each stimulus on the computer screen…”). [Return to Figure 11.1]

• Bem, D. J. (2003). Writing the empirical journal article. In J. M. Darley, M. P. Zanna, & H. R. Roediger III (Eds.),  The compleat academic: A practical guide for the beginning social scientist  (2nd ed.). Washington, DC: American Psychological Association. ↵
• Darley, J. M., & Latané, B. (1968). Bystander intervention in emergencies: Diffusion of responsibility.  Journal of Personality and Social Psychology, 4 , 377–383. ↵

A type of research article which describes one or more new empirical studies conducted by the authors.

The page at the beginning of an APA-style research report containing the title of the article, the authors’ names, and their institutional affiliation.

A summary of a research study.

The third page of a manuscript containing the research question, the literature review, and comments about how to answer the research question.

An introduction to the research question and explanation for why this question is interesting.

A description of relevant previous research on the topic being discusses and an argument for why the research is worth addressing.

The end of the introduction, where the research question is reiterated and the method is commented upon.

The section of a research report where the method used to conduct the study is described.

The main results of the study, including the results from statistical analyses, are presented in a research article.

Section of a research report that summarizes the study's results and interprets them by referring back to the study's theoretical background.

Part of a research report which contains supplemental material.

Research Methods in Psychology - 2nd Canadian Edition Copyright © 2015 by Paul C. Price, Rajiv Jhangiani, & I-Chant A. Chiang is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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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.

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• 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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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 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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Article Contents

Primacy of the research question, structure of the paper, writing a research article: advice to beginners.

• Article contents
• Figures & tables
• Supplementary Data

Thomas V. Perneger, Patricia M. Hudelson, Writing a research article: advice to beginners, International Journal for Quality in Health Care , Volume 16, Issue 3, June 2004, Pages 191–192, https://doi.org/10.1093/intqhc/mzh053

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Writing research papers does not come naturally to most of us. The typical research paper is a highly codified rhetorical form [ 1 , 2 ]. Knowledge of the rules—some explicit, others implied—goes a long way toward writing a paper that will get accepted in a peer-reviewed journal.

A good research paper addresses a specific research question. The research question—or study objective or main research hypothesis—is the central organizing principle of the paper. Whatever relates to the research question belongs in the paper; the rest doesn’t. This is perhaps obvious when the paper reports on a well planned research project. However, in applied domains such as quality improvement, some papers are written based on projects that were undertaken for operational reasons, and not with the primary aim of producing new knowledge. In such cases, authors should define the main research question a posteriori and design the paper around it.

Generally, only one main research question should be addressed in a paper (secondary but related questions are allowed). If a project allows you to explore several distinct research questions, write several papers. For instance, if you measured the impact of obtaining written consent on patient satisfaction at a specialized clinic using a newly developed questionnaire, you may want to write one paper on the questionnaire development and validation, and another on the impact of the intervention. The idea is not to split results into ‘least publishable units’, a practice that is rightly decried, but rather into ‘optimally publishable units’.

What is a good research question? The key attributes are: (i) specificity; (ii) originality or novelty; and (iii) general relevance to a broad scientific community. The research question should be precise and not merely identify a general area of inquiry. It can often (but not always) be expressed in terms of a possible association between X and Y in a population Z, for example ‘we examined whether providing patients about to be discharged from the hospital with written information about their medications would improve their compliance with the treatment 1 month later’. A study does not necessarily have to break completely new ground, but it should extend previous knowledge in a useful way, or alternatively refute existing knowledge. Finally, the question should be of interest to others who work in the same scientific area. The latter requirement is more challenging for those who work in applied science than for basic scientists. While it may safely be assumed that the human genome is the same worldwide, whether the results of a local quality improvement project have wider relevance requires careful consideration and argument.

Once the research question is clearly defined, writing the paper becomes considerably easier. The paper will ask the question, then answer it. The key to successful scientific writing is getting the structure of the paper right. The basic structure of a typical research paper is the sequence of Introduction, Methods, Results, and Discussion (sometimes abbreviated as IMRAD). Each section addresses a different objective. The authors state: (i) the problem they intend to address—in other terms, the research question—in the Introduction; (ii) what they did to answer the question in the Methods section; (iii) what they observed in the Results section; and (iv) what they think the results mean in the Discussion.

In turn, each basic section addresses several topics, and may be divided into subsections (Table 1 ). In the Introduction, the authors should explain the rationale and background to the study. What is the research question, and why is it important to ask it? While it is neither necessary nor desirable to provide a full-blown review of the literature as a prelude to the study, it is helpful to situate the study within some larger field of enquiry. The research question should always be spelled out, and not merely left for the reader to guess.

Typical structure of a research paper

The Methods section should provide the readers with sufficient detail about the study methods to be able to reproduce the study if so desired. Thus, this section should be specific, concrete, technical, and fairly detailed. The study setting, the sampling strategy used, instruments, data collection methods, and analysis strategies should be described. In the case of qualitative research studies, it is also useful to tell the reader which research tradition the study utilizes and to link the choice of methodological strategies with the research goals [ 3 ].

The Results section is typically fairly straightforward and factual. All results that relate to the research question should be given in detail, including simple counts and percentages. Resist the temptation to demonstrate analytic ability and the richness of the dataset by providing numerous tables of non-essential results.

The Discussion section allows the most freedom. This is why the Discussion is the most difficult to write, and is often the weakest part of a paper. Structured Discussion sections have been proposed by some journal editors [ 4 ]. While strict adherence to such rules may not be necessary, following a plan such as that proposed in Table 1 may help the novice writer stay on track.

References should be used wisely. Key assertions should be referenced, as well as the methods and instruments used. However, unless the paper is a comprehensive review of a topic, there is no need to be exhaustive. Also, references to unpublished work, to documents in the grey literature (technical reports), or to any source that the reader will have difficulty finding or understanding should be avoided.

Having the structure of the paper in place is a good start. However, there are many details that have to be attended to while writing. An obvious recommendation is to read, and follow, the instructions to authors published by the journal (typically found on the journal’s website). Another concerns non-native writers of English: do have a native speaker edit the manuscript. A paper usually goes through several drafts before it is submitted. When revising a paper, it is useful to keep an eye out for the most common mistakes (Table 2 ). If you avoid all those, your paper should be in good shape.

Common mistakes seen in manuscripts submitted to this journal

Huth EJ . How to Write and Publish Papers in the Medical Sciences , 2nd edition. Baltimore, MD: Williams & Wilkins, 1990 .

Browner WS . Publishing and Presenting Clinical Research . Baltimore, MD: Lippincott, Williams & Wilkins, 1999 .

Devers KJ , Frankel RM. Getting qualitative research published. Educ Health 2001 ; 14 : 109 –117.

Docherty M , Smith R. The case for structuring the discussion of scientific papers. Br Med J 1999 ; 318 : 1224 –1225.

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• Academic Skills
• Reading, writing and referencing

Research reports

This resource will help you identify the common elements and basic format of a research report.

Research reports generally follow a similar structure and have common elements, each with a particular purpose. Learn more about each of these elements below.

Common elements of reports

Your title should be brief, topic-specific, and informative, clearly indicating the purpose and scope of your study. Include key words in your title so that search engines can easily access your work. For example:  Measurement of water around Station Pier.

An abstract is a concise summary that helps readers to quickly assess the content and direction of your paper. It should be brief, written in a single paragraph and cover: the scope and purpose of your report; an overview of methodology; a summary of the main findings or results; principal conclusions or significance of the findings; and recommendations made.

The information in the abstract must be presented in the same order as it is in your report. The abstract is usually written last when you have developed your arguments and synthesised the results.

The introduction creates the context for your research. It should provide sufficient background to allow the reader to understand and evaluate your study without needing to refer to previous publications. After reading the introduction your reader should understand exactly what your research is about, what you plan to do, why you are undertaking this research and which methods you have used. Introductions generally include:

• The rationale for the present study. Why are you interested in this topic? Why is this topic worth investigating?
• Key terms and definitions.
• An outline of the research questions and hypotheses; the assumptions or propositions that your research will test.

Not all research reports have a separate literature review section. In shorter research reports, the review is usually part of the Introduction.

A literature review is a critical survey of recent relevant research in a particular field. The review should be a selection of carefully organised, focused and relevant literature that develops a narrative ‘story’ about your topic. Your review should answer key questions about the literature:

• What is the current state of knowledge on the topic?
• What differences in approaches / methodologies are there?
• Where are the strengths and weaknesses of the research?
• What further research is needed? The review may identify a gap in the literature which provides a rationale for your study and supports your research questions and methodology.

The review is not just a summary of all you have read. Rather, it must develop an argument or a point of view that supports your chosen methodology and research questions.

The purpose of this section is to detail how you conducted your research so that others can understand and replicate your approach.

You need to briefly describe the subjects (if appropriate), any equipment or materials used and the approach taken. If the research method or method of data analysis is commonly used within your field of study, then simply reference the procedure. If, however, your methods are new or controversial then you need to describe them in more detail and provide a rationale for your approach. The methodology is written in the past tense and should be as concise as possible.

This section is a concise, factual summary of your findings, listed under headings appropriate to your research questions. It’s common to use tables and graphics. Raw data or details about the method of statistical analysis used should be included in the Appendices.

Present your results in a consistent manner. For example, if you present the first group of results as percentages, it will be confusing for the reader and difficult to make comparisons of data if later results are presented as fractions or as decimal values.

In general, you won’t discuss your results here. Any analysis of your results usually occurs in the Discussion section.

Notes on visual data representation:

• Graphs and tables may be used to reveal trends in your data, but they must be explained and referred to in adjacent accompanying text.
• Figures and tables do not simply repeat information given in the text: they summarise, amplify or complement it.
• Graphs are always referred to as ‘Figures’, and both axes must be clearly labelled.
• Tables must be numbered, and they must be able to stand-alone or make sense without your reader needing to read all of the accompanying text.

The Discussion responds to the hypothesis or research question. This section is where you interpret your results, account for your findings and explain their significance within the context of other research. Consider the adequacy of your sampling techniques, the scope and long-term implications of your study, any problems with data collection or analysis and any assumptions on which your study was based. This is also the place to discuss any disappointing results and address limitations.

Checklist for the discussion

• To what extent was each hypothesis supported?
• To what extent are your findings validated or supported by other research?
• Were there unexpected variables that affected your results?
• On reflection, was your research method appropriate?
• Can you account for any differences between your results and other studies?

Conclusions in research reports are generally fairly short and should follow on naturally from points raised in the Discussion. In this section you should discuss the significance of your findings. To what extent and in what ways are your findings useful or conclusive? Is further research required? If so, based on your research experience, what suggestions could you make about improvements to the scope or methodology of future studies?

Also, consider the practical implications of your results and any recommendations you could make. For example, if your research is on reading strategies in the primary school classroom, what are the implications of your results for the classroom teacher? What recommendations could you make for teachers?

A Reference List contains all the resources you have cited in your work, while a Bibliography is a wider list containing all the resources you have consulted (but not necessarily cited) in the preparation of your work. It is important to check which of these is required, and the preferred format, style of references and presentation requirements of your own department.

Appendices (singular ‘Appendix’) provide supporting material to your project. Examples of such materials include:

• Relevant letters to participants and organisations (e.g. regarding the ethics or conduct of the project).
• Background reports.
• Detailed calculations.

Different types of data are presented in separate appendices. Each appendix must be titled, labelled with a number or letter, and referred to in the body of the report.

Appendices are placed at the end of a report, and the contents are generally not included in the word count.

Fi nal ti p

While there are many common elements to research reports, it’s always best to double check the exact requirements for your task. You may find that you don’t need some sections, can combine others or have specific requirements about referencing, formatting or word limits.

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• Research Report: Definition, Types + [Writing Guide]

One of the reasons for carrying out research is to add to the existing body of knowledge. Therefore, when conducting research, you need to document your processes and findings in a research report. 

With a research report, it is easy to outline the findings of your systematic investigation and any gaps needing further inquiry. Knowing how to create a detailed research report will prove useful when you need to conduct research.  

What is a Research Report?

A research report is a well-crafted document that outlines the processes, data, and findings of a systematic investigation. It is an important document that serves as a first-hand account of the research process, and it is typically considered an objective and accurate source of information.

In many ways, a research report can be considered as a summary of the research process that clearly highlights findings, recommendations, and other important details. Reading a well-written research report should provide you with all the information you need about the core areas of the research process.

Features of a Research Report 

So how do you recognize a research report when you see one? Here are some of the basic features that define a research report. 

• It is a detailed presentation of research processes and findings, and it usually includes tables and graphs. 
• It is written in a formal language.
• A research report is usually written in the third person.
• It is informative and based on first-hand verifiable information.
• It is formally structured with headings, sections, and bullet points.
• It always includes recommendations for future actions. 

Types of Research Report 

The research report is classified based on two things; nature of research and target audience.

Nature of Research

• Qualitative Research Report

This is the type of report written for qualitative research . It outlines the methods, processes, and findings of a qualitative method of systematic investigation. In educational research, a qualitative research report provides an opportunity for one to apply his or her knowledge and develop skills in planning and executing qualitative research projects.

A qualitative research report is usually descriptive in nature. Hence, in addition to presenting details of the research process, you must also create a descriptive narrative of the information.

• Quantitative Research Report

A quantitative research report is a type of research report that is written for quantitative research. Quantitative research is a type of systematic investigation that pays attention to numerical or statistical values in a bid to find answers to research questions. 

In this type of research report, the researcher presents quantitative data to support the research process and findings. Unlike a qualitative research report that is mainly descriptive, a quantitative research report works with numbers; that is, it is numerical in nature. 

Target Audience

Also, a research report can be said to be technical or popular based on the target audience. If you’re dealing with a general audience, you would need to present a popular research report, and if you’re dealing with a specialized audience, you would submit a technical report. 

• Technical Research Report

A technical research report is a detailed document that you present after carrying out industry-based research. This report is highly specialized because it provides information for a technical audience; that is, individuals with above-average knowledge in the field of study. 

In a technical research report, the researcher is expected to provide specific information about the research process, including statistical analyses and sampling methods. Also, the use of language is highly specialized and filled with jargon. 

Examples of technical research reports include legal and medical research reports. 

• Popular Research Report

A popular research report is one for a general audience; that is, for individuals who do not necessarily have any knowledge in the field of study. A popular research report aims to make information accessible to everyone. 

It is written in very simple language, which makes it easy to understand the findings and recommendations. Examples of popular research reports are the information contained in newspapers and magazines. 

Importance of a Research Report 

• Knowledge Transfer: As already stated above, one of the reasons for carrying out research is to contribute to the existing body of knowledge, and this is made possible with a research report. A research report serves as a means to effectively communicate the findings of a systematic investigation to all and sundry.  
• Identification of Knowledge Gaps: With a research report, you’d be able to identify knowledge gaps for further inquiry. A research report shows what has been done while hinting at other areas needing systematic investigation. 
• In market research, a research report would help you understand the market needs and peculiarities at a glance. 
• A research report allows you to present information in a precise and concise manner. 
• It is time-efficient and practical because, in a research report, you do not have to spend time detailing the findings of your research work in person. You can easily send out the report via email and have stakeholders look at it. 

Guide to Writing a Research Report

A lot of detail goes into writing a research report, and getting familiar with the different requirements would help you create the ideal research report. A research report is usually broken down into multiple sections, which allows for a concise presentation of information.

Structure and Example of a Research Report

This is the title of your systematic investigation. Your title should be concise and point to the aims, objectives, and findings of a research report. 

• Table of Contents

This is like a compass that makes it easier for readers to navigate the research report.

An abstract is an overview that highlights all important aspects of the research including the research method, data collection process, and research findings. Think of an abstract as a summary of your research report that presents pertinent information in a concise manner. 

An abstract is always brief; typically 100-150 words and goes straight to the point. The focus of your research abstract should be the 5Ws and 1H format – What, Where, Why, When, Who and How. 

• Introduction

Here, the researcher highlights the aims and objectives of the systematic investigation as well as the problem which the systematic investigation sets out to solve. When writing the report introduction, it is also essential to indicate whether the purposes of the research were achieved or would require more work.

In the introduction section, the researcher specifies the research problem and also outlines the significance of the systematic investigation. Also, the researcher is expected to outline any jargons and terminologies that are contained in the research.  

• Literature Review

A literature review is a written survey of existing knowledge in the field of study. In other words, it is the section where you provide an overview and analysis of different research works that are relevant to your systematic investigation. 

It highlights existing research knowledge and areas needing further investigation, which your research has sought to fill. At this stage, you can also hint at your research hypothesis and its possible implications for the existing body of knowledge in your field of study. 

• An Account of Investigation

This is a detailed account of the research process, including the methodology, sample, and research subjects. Here, you are expected to provide in-depth information on the research process including the data collection and analysis procedures. 

In a quantitative research report, you’d need to provide information surveys, questionnaires and other quantitative data collection methods used in your research. In a qualitative research report, you are expected to describe the qualitative data collection methods used in your research including interviews and focus groups. 

In this section, you are expected to present the results of the systematic investigation. 

This section further explains the findings of the research, earlier outlined. Here, you are expected to present a justification for each outcome and show whether the results are in line with your hypotheses or if other research studies have come up with similar results.

• Conclusions

This is a summary of all the information in the report. It also outlines the significance of the entire study. 

• References and Appendices

This section contains a list of all the primary and secondary research sources. 

Tips for Writing a Research Report

• Define the Context for the Report

As is obtainable when writing an essay, defining the context for your research report would help you create a detailed yet concise document. This is why you need to create an outline before writing so that you do not miss out on anything. 

• Define your Audience

Writing with your audience in mind is essential as it determines the tone of the report. If you’re writing for a general audience, you would want to present the information in a simple and relatable manner. For a specialized audience, you would need to make use of technical and field-specific terms. 

• Include Significant Findings

The idea of a research report is to present some sort of abridged version of your systematic investigation. In your report, you should exclude irrelevant information while highlighting only important data and findings. 

• Include Illustrations

Your research report should include illustrations and other visual representations of your data. Graphs, pie charts, and relevant images lend additional credibility to your systematic investigation.

• Choose the Right Title

A good research report title is brief, precise, and contains keywords from your research. It should provide a clear idea of your systematic investigation so that readers can grasp the entire focus of your research from the title. 

• Proofread the Report

Before publishing the document, ensure that you give it a second look to authenticate the information. If you can, get someone else to go through the report, too, and you can also run it through proofreading and editing software. 

How to Gather Research Data for Your Report  

• Understand the Problem

Every research aims at solving a specific problem or set of problems, and this should be at the back of your mind when writing your research report. Understanding the problem would help you to filter the information you have and include only important data in your report. 

• Know what your report seeks to achieve

This is somewhat similar to the point above because, in some way, the aim of your research report is intertwined with the objectives of your systematic investigation. Identifying the primary purpose of writing a research report would help you to identify and present the required information accordingly. 

• Identify your audience

Knowing your target audience plays a crucial role in data collection for a research report. If your research report is specifically for an organization, you would want to present industry-specific information or show how the research findings are relevant to the work that the company does. 

• Create Surveys/Questionnaires

A survey is a research method that is used to gather data from a specific group of people through a set of questions. It can be either quantitative or qualitative. 

A survey is usually made up of structured questions, and it can be administered online or offline. However, an online survey is a more effective method of research data collection because it helps you save time and gather data with ease. 

You can seamlessly create an online questionnaire for your research on Formplus . With the multiple sharing options available in the builder, you would be able to administer your survey to respondents in little or no time. 

Formplus also has a report summary too l that you can use to create custom visual reports for your research.

Step-by-step guide on how to create an online questionnaire using Formplus  

• Sign into Formplus

In the Formplus builder, you can easily create different online questionnaires for your research by dragging and dropping preferred fields into your form. To access the Formplus builder, you will need to create an account on Formplus. 

Once you do this, sign in to your account and click on Create new form to begin. 

• Edit Form Title : Click on the field provided to input your form title, for example, “Research Questionnaire.”
• Edit Form : Click on the edit icon to edit the form.
• Add Fields : Drag and drop preferred form fields into your form in the Formplus builder inputs column. There are several field input options for questionnaires in the Formplus builder. 
• Edit fields
• Click on “Save”
• Form Customization: With the form customization options in the form builder, you can easily change the outlook of your form and make it more unique and personalized. Formplus allows you to change your form theme, add background images, and even change the font according to your needs. 
• Multiple Sharing Options: Formplus offers various form-sharing options, which enables you to share your questionnaire with respondents easily. You can use the direct social media sharing buttons to share your form link to your organization’s social media pages.  You can also send out your survey form as email invitations to your research subjects too. If you wish, you can share your form’s QR code or embed it on your organization’s website for easy access. 

Conclusion  

Always remember that a research report is just as important as the actual systematic investigation because it plays a vital role in communicating research findings to everyone else. This is why you must take care to create a concise document summarizing the process of conducting any research. 

In this article, we’ve outlined essential tips to help you create a research report. When writing your report, you should always have the audience at the back of your mind, as this would set the tone for the document. 

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Structure of a Research Paper: Tips to Improve Your Manuscript

You’ve spent months or years conducting your academic research. Now it’s time to write your journal article. For some, this can become a daunting task because writing is not their forte. It might become difficult to even start writing. However, once you organize your thoughts and begin writing them down, the overall task will become easier.

We provide some helpful tips for you here.

Organize Your Thoughts

Perhaps one of the most important tasks before you even begin to write is to get organized. By this point, your data is compiled and analyzed. You most likely also have many pages of “notes”. These must also be organized. Fortunately, this is much easier to do than in the past with hand-written notes. Presuming that these tasks are completed, what’s next?

Related: Ready with your title and looking forward to manuscript submission ? Check these journal selection guidelines  now!

When suggesting that you organize your thoughts, we mean to take a look at what you have compiled. Ask yourself what you are trying to convey to the reader. What is the most important message from your research? How will your results affect others? Is more research necessary?

Write your answers down and keep them where you can see them while writing. This will help you focus on your goals.

Aim for Clarity

Your paper should be presented as clearly as possible. You want your readers to understand your research. You also do not want them to stop reading because the text is too technical.

Keep in mind that your published research will be available in academic journals all over the world. This means that people of different languages will read it. Moreover, even with scientists, this could present a language barrier. According to a recent article , always remember the following points as you write:

• Clarity : Cleary define terms; avoid nonrelevant information.
• Simplicity : Keep sentence structure simple and direct.
• Accuracy : Represent all data and illustrations accurately.

For example, consider the following sentence:

“Chemical x had an effect on metabolism.”

This is an ambiguous statement. It does not tell the reader much. State the results instead:

“Chemical x increased fat metabolism by 20 percent.”

All scientific research also provide significance of findings, usually presented as defined “P” values. Be sure to explain these findings using descriptive terms. For example, rather than using the words “ significant effect ,” use a more descriptive term, such as “ significant increase .”

For more tips, please also see “Tips and Techniques for Scientific Writing”. In addition, it is very important to have your paper edited by a native English speaking professional editor. There are many editing services available for academic manuscripts and publication support services.

Research Paper Structure

With the above in mind, you can now focus on structure. Scientific papers are organized into specific sections and each has a goal. We have listed them here.

• Your title is the most important part of your paper. It draws the reader in and tells them what you are presenting. Moreover, if you think about the titles of papers that you might browse in a day and which papers you actually read, you’ll agree.
• The title should be clear and interesting otherwise the reader will not continue reading.
• Authors’ names and affiliations are on the title page.
• The abstract is a summary of your research. It is nearly as important as the title because the reader will be able to quickly read through it.
• Most journals, the abstract can become divided into very short sections to guide the reader through the summaries.
• Keep the sentences short and focused.
• Avoid acronyms and citations.
• Include background information on the subject and your objectives here.
• Describe the materials used and include the names and locations of the manufacturers.
• For any animal studies, include where you obtained the animals and a statement of humane treatment.
• Clearly and succinctly explain your methods so that it can be duplicated.
• Criteria for inclusion and exclusion in the study and statistical analyses should be included.
• Discuss your findings here.
• Be careful to not make definitive statements .
• Your results suggest that something is or is not true.
• This is true even when your results prove your hypothesis.
• Discuss what your results mean in this section.
• Discuss any study limitations. Suggest additional studies.
• Acknowledge all contributors.
• All citations in the text must have a corresponding reference.
• Check your author guidelines for format protocols.
• In most cases, your tables and figures appear at the end of your paper or in a separate file.
• The titles (legends) usually become listed after the reference section.
• Be sure that you define each acronym and abbreviation in each table and figure.

Helpful Rules

In their article entitled, “Ten simple rules for structuring papers,” in PLOS Computational Biology , authors Mensh and Kording provided 10 helpful tips as follows:

• Focus on a central contribution.
• Write for those who do not know your work.
• Use the “context-content-conclusion” approach.
• Avoid superfluous information and use parallel structures.
• Summarize your research in the abstract.
• Explain the importance of your research in the introduction.
• Explain your results in a logical sequence and support them with figures and tables.
• Discuss any data gaps and limitations.
• Allocate your time for the most important sections.
• Get feedback from colleagues.

Some of these rules have been briefly discussed above; however, the study done by the authors does provide detailed explanations on all of them.

Helpful Sites

Visit the following links for more helpful information:

• “ Some writing tips for scientific papers ”
• “ How to Structure Your Dissertation ”
• “ Conciseness in Academic Writing: How to Prune Sentences ”
• “ How to Optimize Sentence Length in Academic Writing ”

So, do you follow any additional tips when structuring your research paper ? Share them with us in the comments below!

Thanks for sharing this post. Great information provided. I really appreciate your writing. I like the way you put across your ideas.

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What Are The Key Elements of Research Paper Structure?

Writing a well-structured research paper is not everybody’s cup of tea. One may spend months or even years conducting one good research paper. Sometimes, it might become difficult even to start writing. Let alone thinking of the structure of the research paper.

It is truly said that a well-structured research paper is able to address a specific research question. It has the capacity to question the reader’s perspective and idea.

This article is authored with the view to make its viewers understand the importance of research structure and also give out tips on how to write the research paper structure.

On the other hand, as a research paper assignment helper , we understand the importance of a strong research paper structure. Let us help you create a winning paper that will impress your professors and earn you top marks.

What Is Research Paper?

Table of Contents

A research paper is a type of academic document that explores a particular topic in-depth. It involves conducting research, gathering information, and presenting findings in a structured manner. The purpose of a research paper is to contribute knowledge, provide information, or present arguments based on evidence.

In addition, it includes an introduction, body paragraphs with supporting evidence, and a conclusion. Research papers are commonly written by students, scholars, and professionals to share their research and contribute to their respective fields of study.

What Is Research Paper Structure?

The research structure is mainly an outline of the work. The structure consists of a number of sub-sections. We will learn about each in detail as you scroll down.

One is expected to provide the research structure towards the end of the introduction chapter of the dissertation. Most research papers have more or less the same structure.

It is important for the author to first make sure that the information/data is compiled and analyzed. This step is crucial in order to get the paper structured properly. It is also helpful for a better understanding of a particular topic. Providing clear definitions is one of the main aims of creating the structure of a research paper.

Why Is Research Paper Structure Important?

• Research paper structure improves the organization and coherence of information.
• It enhances the clarity and readability of the paper for readers.
• A clear structure helps researchers effectively convey their main points and arguments.
• It makes it easy navigation and quick access to specific sections or information.
• A well-defined structure demonstrates the researcher’s ability to present information effectively, enhancing the overall quality and impact of the paper.

Top 10 Key Elements Of Research Paper Structure You Must Know

As discussed above, the key to a successful and impressive research paper is getting its structure right. The basic structure of a general research paper goes in the sequence of the title page, abstract, introduction, materials and methods, results, and discussion of the same which is followed by the conclusion. References and acknowledgments are provided marking the end of the paper.

Each subsection points out a different objective for the main topic or the same point of interest. Below is a detailed description of each of the sub-sections:

1. Title page

The title page allows the reader to identify the work just by reading the title. It is the very first page any reader will come across. The title page must include the name of the author, the name of the course for which the research was performed, the name of the instructor, the date of completion, and the page number.

An individual must be able to understand the purpose of writing the research paper just by reading the title. This is the first section of the research paper structure.

2. Abstract

The abstract of a research paper should be a short summary of the contents it includes. It should be less than 250 words. Usually, it includes the purpose of the study, significant results, and its conclusion.

Since the abstract contains small bits of information about the article, it is best to call it an overview of the paper. An article’s abstract will always be available to view online whether or not you have paid for its subscription.

3. Introduction

After the abstract comes the introduction to the research. The introduction gives the reader all the primary information he or she requires to understand the paper. It must explain the idea of the main topic.

Explanation of the key terms, historical information, and citation of other studies revolving around the topic must follow. The introduction should be able to indicate why the research done in this particular article is different or how it is relevant to the discussion.

4. Materials and Methods

The Materials and Methods in the research paper explain to an individual how the study was conducted. Generally, it provides the reader with information like – the sampling strategy used, instruments, data collection methods, and analysis strategies.

This part of the information must be descriptive, precise, and in detail.

The results of an article should give specific information on what the findings are, and their value, with suitable data included.

It must be presented in a straightforward and factual manner. Numerical figures, graphs, and percentages should be included as well.

6. Discussion

Discussion of an article is also known as the ‘body’. Facts are focused on in this section. It is considered the most difficult part to write.

Discussion must be put before or after the results. This section must be able to answer questions like: is the analysis matching with the calculated data, is the conclusion valid, and does the discussion prove the required point? Discuss what the results show in this particular section.

7. Conclusion

The Conclusion tells one about the final thoughts of the author. It is a paraphrased version of the overall discussion in short.

Containing an average of 100 to 200 words, it covers all the main keywords and points. It may repeat what is already noted in the discussion. It may also provide recommendations for future research.

8. References

The reference page allows the author to accept all the sources used for gathering information. The resource should be cited properly.

Examples of citations can be found on the website online. Reference to any online source that the reader will have trouble finding or understanding should be avoided for use.

9. Acknowledgements

Acknowledgments are used to thank any persons or institutions that made the research possible. An individual can extend their gratitude towards the person or organization under this section for helping him/her get through the research paper within the stipulated time period and guiding them.

10. Appendix (if any add-ons were available) 

In some cases, an appendix in a research paper contains non-evaluative information that is not important for comprehending the research paper, such as a list of experiment encouragement, details of a secondary scanning, or programming code. This is usually found in an appendix. This is the last section of the research paper structure.

• How to write research paper outline
• How to write research paper

How Long Should A Research Paper Be?

The length of a research paper depends on the assignment requirements, the field of study, and the course level. In general, research papers can range from 5 to 30 pages or more, with the average length being 10-15 pages.

On the other hand, in many cases, instructors or journals may provide specific guidelines for the length of the paper, including the number of pages or word count. If such guidelines are not provided, it is important to consider the complexity of the topic and the amount of research required to address it sufficiently.

It is also important to remember that the length of a research paper should not be the primary focus. The research, analysis, and writing quality are much more important than the number of pages. A well-written, concise paper that effectively addresses the research question is often more valuable than a longer paper that is poorly organized and does not provide a clear argument.

So this means that you do not have to write a long and poorly organized paper. However, it is better to write a proper and well-written research paper.

Tips On How To Improve Your Research Paper Structure

1. Organize 

Thoughts should be organized and focused. Ask yourself what idea you want to convey to the reader. Is there a message hidden in the paper? Is more research required?

These questions must be solved to help one to keep their focus on the goal. This is the first tip on how you can improve your research paper structure.

The paper must be as clear and simple as possible. The language should not be difficult to understand. The sentence structure must be short and simple.

Along with that, it is very important that all the data and facts are accurately presented.

The title and abstract are the first two sections of the paper that the reader will read. It depends on the reader to continue reading from here.

Thus, it is crucial for both the title and abstract to be eye-catching and effective at the same time. It must be able to summarize the entire paper for the reader.

4. Keywords

Keywords are used for the purpose of indexing. Indexing is the process of finding words easily online. Words that are specific and do not already exist in the title are ideal.

Depending on the research paper, keywords that appear in the title must be often avoided.

The results should be significant and easy to understand. Attracting readers and citations will be easier if the results are exciting enough to encourage them to elaborate on what the author has discovered.

This is the last tip on how you can improve your research paper structure.

Tools And Resources To Write A Good Research Paper Structure

Research paper outline template: A template is a helpful tool that can help you to structure your research paper efficiently. With a template, you will have a clear idea of the different sections of your paper and how they should be arranged. Several outline templates are available online, and you can use them as a guide to creating your outline.

1. Library databases 

Libraries are an excellent resource for finding academic sources. Many libraries have databases that you can access online, which contain a wide range of scholarly articles, books, and other materials that are relevant to your research. You can use these databases to find reliable sources for your paper.

2. Citation tools

Proper citation is crucial in academic writing. A citation tool can help you to format your citations correctly and avoid plagiarism. Several citation tools, such as EasyBib, Zotero, and Mendeley, are available. These tools can save you time and ensure your citations are accurate.

3. Writing software

Writing software can help you to organize your research and write your paper efficiently. Some popular writing software includes Microsoft Word, Google Docs, and Scrivener. These tools have features that can help you to structure your paper, such as outlining, formatting, and citation management.

4. Grammar and spell-checking tools

You must proofread your paper to ensure it’s error-free. Grammar and spell-checking tools can help you to catch any mistakes that you have missed. Some popular tools include Grammarly, Hemingway Editor, and ProWritingAid.

5. Writing guides and manuals

Several guides and manuals are available online to help you write a good research paper. Some popular ones include The Chicago Manual of Style, The MLA Handbook, and The APA Publication Manual. These guides provide detailed instructions on formatting, citation, and writing style.

These tools and resources can help you structure your research paper effectively, write it clearly, and present it professionally.

Conclusion on research paper structure

In conclusion, we have a clear insight as to what the research paper structure is. It is mainly described as the outline of the work. The research paper is written keeping nine sub-sections in mind. Without each section, the paper tends to look incomplete. Each sub-section offers a different objective for the main topic.

Most research papers usually follow the same structure. Here, we have also learned certain tips on how to improve your research paper structure. If you want to get the best research paper writing help then you get help in touch with our research paper helper .

Q1. What are the 5 parts of a research paper?

A full research paper that is in APA format reporting on experimental research will typically include the following sections: Title page, Abstract, Introduction, Methods, Results, Discussion, and References.

Q2. What are the main parts of a research paper?

There are 9 main parts in a research paper:

1. Title (cover page) 2. Introduction 3. Literature review 4. Research Methodology 5. Data analysis 6. Results 7. Conclusion 8. Reference page 9. Appendix (if any add-ons were available)

If you follow this structure, you will end up with a concise, well-organized research paper.

Q3. How to write a research paper?

If you want to write a good Research Paper then here are some tips for you: 1. Choose a topic. 2. Read and keep records. 3. Form a thesis. 4. Create a mind map or outline. 5. Read again. 6. Rethink your thesis. 7. Draft the body. 8. Revise.

Q4. How Can You Understand The Research Paper Assignment?

Completing a research paper successfully usually involves completing the tasks assigned to you. Before you begin, ensure you have a proper understanding of the assignment task sheet. Here are some tips on how you can understand the research paper assignment:

1. Determine the goal, deadline, length requirements, formatting, and submission method for the assignment. 2. You can make a bulleted list of the main points you wanted in your research paper, then go back and check off completed items as you write. 3. Read it carefully, looking for any confusion you may need to clarify with your professor. 4. You can consider your timeframe and word limit very carefully. On the other hand, it is very important to be more realistic and allow enough time to research, write, and edit.

Q5. Summarize The Major Elements Of The Paper?

Here are the major elements of the research paper structure: 

1. Introduction 2. Literature Review 3. Research Methodology 4. Results 5. Discussion 6. Conclusion 7. References (or Bibliography) 8. Appendices (if applicable)

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Report writing

• Features of good reports
• Types of Report

Introduction

Organising your information, abstract / executive summary, literature review, results / data / findings, reference list / bibliography.

• Writing up your report

Useful links for report writing

• Study Advice Helping students to achieve study success with guides, video tutorials, seminars and one-to-one advice sessions.
• Maths Support A guide to Maths Support resources which may help if you're finding any mathematical or statistical topic difficult during the transition to University study.

• Academic Phrasebank Use this site for examples of linking phrases and ways to refer to sources.
• Academic writing LibGuide Expert guidance on punctuation, grammar, writing style and proof-reading.
• Reading and notemaking LibGuide Expert guidance on managing your reading and making effective notes.
• Guide to citing references Includes guidance on why, when and how to use references correctly in your academic writing.

The structure of a report has a key role to play in communicating information and enabling the reader to find the information they want quickly and easily. Each section of a report has a different role to play and a writing style suited to that role. Therefore, it is important to understand what your audience is expecting in each section of a report and put the appropriate information in the appropriate sections.

The guidance on this page explains the job each section does and the style in which it is written. Note that all reports are different so you must pay close attention to what you are being asked to include in your assignment brief. For instance, your report may need all of these sections, or only some, or you may be asked to combine sections (e.g. introduction and literature review, or results and discussion). The video tutorial on structuring reports below will also be helpful, especially if you are asked to decide on your own structure.

• Finding a structure for your report (video) Watch this brief video tutorial for more on the topic.
• Finding a structure for your report (transcript) Read along while watching the video tutorial.

• When writing an essay, you need to place your information  to make a strong argument
• When writing a report, you need to place your information  in the appropriate section

Consider the role each item will play in communicating information or ideas to the reader, and place it in the section where it will best perform that role. For instance:

• Does it provide background to your research? ( Introduction  or  Literature Review )
• Does it describe the types of activity you used to collect evidence? ( Methods )
• Does it present factual data? ( Results )
• Does it place evidence in the context of background? ( Discussion )
• Does it make recommendations for action? ( Conclusion )

• the purpose of the work
• methods used for research
• main conclusions reached
• any recommendations

The introduction … should explain the rationale for undertaking the work reported on, and the way you decided to do it. Include what you have been asked (or chosen) to do and the reasons for doing it.

- State what the report is about. What is the question you are trying to answer? If it is a brief for a specific reader (e.g. a feasibility report on a construction project for a client), say who they are.

- Describe your starting point and the background to the subject: e.g., what research has already been done (if you have to include a Literature Review, this will only be a brief survey); what are the relevant themes and issues; why are you being asked to investigate it now?

- Explain how you are going to go about responding to the brief. If you are going to test a hypothesis in your research, include this at the end of your introduction. Include a brief outline of your method of enquiry. State the limits of your research and reasons for them, e.g.

Introduce your review by explaining how you went about finding your materials, and any clear trends in research that have emerged. Group your texts in themes. Write about each theme as a separate section, giving a critical summary of each piece of work, and showing its relevance to your research. Conclude with how the review has informed your research (things you'll be building on, gaps you'll be filling etc).

• Literature reviews LibGuide Guide on starting, writing and developing literature reviews.
• Doing your literature review (video) Watch this brief video tutorial for more on the topic.
• Doing your literature review (transcript) Read along while watching the video tutorial.

The methods  should be written in such a way that a reader could replicate the research you have done. State clearly how you carried out your investigation. Explain why you chose this particular method (questionnaires, focus group, experimental procedure etc). Include techniques and any equipment you used. If there were participants in your research, who were they? How many? How were they selected?

Write this section  concisely  but  thoroughly  – Go through what you did step by step, including everything that is relevant. You know what you did, but could a reader follow your description?

Label your graphs and tables clearly. Give each figure a title and describe in words what the figure demonstrates. Save your interpretation of the results for the Discussion section.

The discussion ...is probably the longest section. It brings everything together, showing how your findings respond to the brief you explained in your introduction and the previous research you surveyed in your literature review. This is the place to mention if there were any problems (e.g. your results were different from expectations, you couldn't find important data, or you had to change your method or participants) and how they were, or could have been, solved.

• Writing up your report page More information on how to write your discussion and other sections.

The conclusions ...should be a short section with no new arguments or evidence. This section should give a feeling of closure and completion to your report. Sum up the main points of your research. How do they answer the original brief for the work reported on? This section may also include:

• Recommendations for action
• Suggestions for further research

If you're unsure about how to cite a particular text, ask at the Study Advice Desk on the Ground Floor of the Library or contact your Academic Liaison Librarian for help.

• Contact your Academic Liaison Librarian

The appendices ...include any additional information that may help the reader but is not essential to the report's main findings. The report should be able to stand alone without the appendices. An appendix can include for instance: interview questions; questionnaires; surveys; raw data; figures; tables; maps; charts; graphs; a glossary of terms used.

• A separate appendix should be used for each distinct topic or set of data.
• Order your appendices in the order in which you refer to the content in the text.
• Start each appendix on a separate page and label sequentially with letters or numbers e.g. Appendix A, Appendix B,…
• Give each Appendix a meaningful title e.g. Appendix A: Turnover of Tesco PLC 2017-2021.
• Refer to the relevant appendix where appropriate in the main text e.g. 'See Appendix A for an example questionnaire'.
• If an appendix contains multiple figures which you will refer to individually then label each one using the Appendix letter and a running number e.g. Table B1, Table B2. Do not continue the numbering of any figures in your text, as your text should be able to stand alone without the appendices.
• If your appendices draw on information from other sources you should include a citation and add the full details into your list of references (follow the rules for the referencing style you are using).

For more guidance see the following site:

• Appendices guidance from University of Southern California Detailed guidance on using appendices. Part of the USC's guide to Organizing Your Social Sciences Research Paper.
• << Previous: Types of Report
• Next: Writing up your report >>
• Last Updated: Jan 29, 2024 11:27 AM
• URL: https://libguides.reading.ac.uk/reports

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Introduction

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• In-text citations
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Structure of reports Report sections and what goes in them

Reports are a common academic genre at university. Although the exact nature will vary according to the discipline you are studying, the general structure is broadly similar for all disciplines. The typical structure of a report, as shown on this page, is often referred to as IMRAD, which is short for Introduction, Method , Results And Discussion . As reports often begin with an Abstract , the structure may also be referred to as AIMRAD.

Preliminaries

For another look at the same content, check out YouTube » or Youku » .

There are several parts which go at the beginning of the report, before the main content. These are the title page , abstract and contents page .

Your report should have a title page. Information which could be included on this page are:

• the title of the report
• the name(s) of the author(s)
• your student number(s)
• name of the lecturer the report is for
• date of submission

Many longer reports will contain an abstract. This is like a summary of the whole report, and should contain details on the key areas, in other words the purpose, the methodology, the main findings and the conclusions. An abstract is not usually needed for shorter reports such as science lab reports.

Contents page

Many reports will contain a contents page. This should list all the headings and sub-headings in the report, together with the page numbers. Most word processing software can build a table of contents automatically.

The first section of your report will be the introduction. This will often contain several sub-sections, as outlined below.

There should be some background information on the topic area. This could be in the form of a literature review. It is likely that this section will contain material from other sources, in which case appropriate citations will be needed. You will also need to summarise or paraphrase any information which comes from your text books or other sources.

Many reports, especially science reports, will contain essential theory, such as equations which will be used later. You may need to give definitions of key terms and classify information. As with the background section, correct in-text citations will be needed for any information which comes from your text books or other sources.

This part of the report explains why you are writing the report. The tense you use will depend on whether the subject of the sentence is the report (which still exists) or the experiment (which has finished). See the language for reports section for more information.

Also called Methodology or Procedure, this section outlines how you gathered information, where from and how much. For example, if you used a survey:

• how was the survey carried out?
• how did you decide on the target group?
• how many people were surveyed?
• were they surveyed by interview or questionnaire?

If it is a science lab report, you will need to answer these questions:

• what apparatus was used?
• how did you conduct the experiment?
• how many times did you repeat the procedure?
• what precautions did you take to increase accuracy?

This section, also called Findings, gives the data that has been collected (for example from the survey or experiment). This section will often present data in tables and charts. This section is primarily concerned with description. In other words, it does not analyse or draw conclusions.

The Discussion section, also called Analysis, is the main body of the report, where you develop your ideas. It draws together the background information or theory from the Introduction with the data from the Findings section . Sub-sections (with sub-headings) may be needed to ensure the readers can find information quickly. Although the sub-headings help to clarify, you should still use well constructed paragraphs, with clear topic sentences . This section will often include graphs or other visual material, as this will help the readers to understand the main points. This section should fulfil the aims in the introduction, and should contain sufficient information to justify the conclusions and recommendations which come later in the report.

The conclusions come from the analysis in the Discussion section and should be clear and concise. The conclusions should relate directly to the aims of the report, and state whether these have been fulfilled. At this stage in the report, no new information should be included.

Recommendations

The report should conclude with recommendations. These should be specific. As with the conclusion, the recommendations should derive from the main body of the report and again, no new information should be included.

Reference section

Any sources cited in the text should be included in full in the reference section. For more information, see the reference section page of the writing section.

Appendices are used to provide any detailed information which your readers may need for reference, but which do not contain key information and which you therefore do not want to include in the body of the report. Examples are a questionnaire used in a survey or a letter of consent for interview participants. Appendices must be relevant and should be numbered so they can be referred to in the main body. They should be labelled Appendix 1, Appendix 2, etc. ('appendices' is the plural form of 'appendix').

The diagram below summarises the sections of a report outlined above.

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There is a downloadable checklist for reports (structure and language ) in the writing resources section.

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Compare & contrast essays examine the similarities of two or more objects, and the differences.

Cause & effect essays consider the reasons (or causes) for something, then discuss the results (or effects).

Discussion essays require you to examine both sides of a situation and to conclude by saying which side you favour.

Problem-solution essays are a sub-type of SPSE essays (Situation, Problem, Solution, Evaluation).

Transition signals are useful in achieving good cohesion and coherence in your writing.

Reporting verbs are used to link your in-text citations to the information cited.

Research Design in Business and Management pp 53–84 Cite as

Writing up a Research Report

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• Michael Blankenagel 3  
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A research report is one big argument how and why you came up with your conclusions. To make it a convincing argument, a typical guiding structure has developed. In the different chapters, distinct issues need to be addressed to explain to the reader why your conclusions are valid. The governing principle for writing the report is full disclosure: to explain everything and ensure replicability by another researcher.

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Field, A. (2016). An adventure in statistics. The reality enigma . SAGE.

Field, A. (2020). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE.

Früh, M., Keimer, I., & Blankenagel, M. (2019). The impact of Balanced Scorecard excellence on shareholder returns. IFZ Working Paper No. 0003/2019. Retrieved June 09, 2021, from https://zenodo.org/record/2571603#.YMDUafkzZaQ .

Yin, R. K. (2013). Case study research: Design and methods (5th ed.). SAGE.

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Hunziker, S., Blankenagel, M. (2021). Writing up a Research Report. In: Research Design in Business and Management. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-34357-6_4

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Research Structure

Research structure is basically an outline of your paper. In your dissertation you are expected to provide the research structure towards the end of introduction chapter. The components of research structure are illustrated in table below:

Components of each chapter in research structure

The following is a sample of a research structure:

Chapter One communicates the purpose and focus of the study and explains the outline of the research. This chapter includes a brief explanation of the research background , and provides rationale for the selection of the research area . Moreover, the first chapter contains explanation of the research aim and objectives , and explains research structure.

Chapter Two constitutes a literature review, and accordingly, contains analysis of models and theoretical frameworks that have been previously introduced to the research area. This chapter contains definitions of main terms and explains search strategy for the secondary data . Viewpoints of other authors regarding the research area in general and research problem in particular have been presented in a logical manner in this chapter.

Chapter Three addresses methodology. The chapter explains the research process and addresses the issues of research philosophy . Moreover, methodology chapter contains explanation of research design , and the choice and implementation of data collection methods . Sampling aspect of the study and discussions of ethical considerations are also included in this chapter.

Chapter Four contains presentation of the primary data collected through questionnaires/interviews/focus groups/observation/etc. Presentation of primary data findings have been facilitated through bar charts/pie charts. Brief discussions have been included to explain each chart.

Chapter Five constitutes discussions and analyses. This chapter plays a critical role in the achievement of research aim and objectives. Findings of the literature review have been compared to primary data findings in this chapter. Also, in-depth discussions have been provided in relation to each individual research objective.

Chapter Six concludes the work and summarises the level of achievement of research aim and objectives. The chapter comprises acknowledgement of limitations of the study and highlights scope for future studies in the same research area.

Your dissertation has also to contain title page, acknowledgements, abstract, table of contents at the beginning. Furthermore, you need to add references, bibliography and appendices sections at the end of your dissertation.

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• How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

• Search for relevant literature
• Evaluate sources
• Identify themes, debates, and gaps
• Outline the structure
• Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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Table of contents

What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

• Quick Run-through
• Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

• Demonstrate your familiarity with the topic and its scholarly context
• Develop a theoretical framework and methodology for your research
• Position your work in relation to other researchers and theorists
• Show how your research addresses a gap or contributes to a debate
• Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

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Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

• Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
• Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
• Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
• Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

• Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
• Body image, self-perception, self-esteem, mental health
• Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

• Your university’s library catalogue
• Google Scholar
• Project Muse (humanities and social sciences)
• Medline (life sciences and biomedicine)
• EconLit (economics)
• Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

• What question or problem is the author addressing?
• What are the key concepts and how are they defined?
• What are the key theories, models, and methods?
• Does the research use established frameworks or take an innovative approach?
• What are the results and conclusions of the study?
• How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
• What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

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To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

• Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
• Themes: what questions or concepts recur across the literature?
• Debates, conflicts and contradictions: where do sources disagree?
• Pivotal publications: are there any influential theories or studies that changed the direction of the field?
• Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

• Most research has focused on young women.
• There is an increasing interest in the visual aspects of social media.
• But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

• Look at what results have emerged in qualitative versus quantitative research
• Discuss how the topic has been approached by empirical versus theoretical scholarship
• Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

• Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
• Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
• Critically evaluate: mention the strengths and weaknesses of your sources
• Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

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

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarize yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other  academic texts , with an introduction , a main body, and a conclusion .

An  annotated bibliography is a list of  source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a  paper .  

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Research Methodology - Structure And Components Of Research Reports

Structure of a research report - structure and components of research reports.

A research report has a different structure and layout in comparison to a project report.

PARTS OF RESEARCH REPORT

List of the tables, abstract or summary or executive summary or introduction:, aims and purpose or aims and objectives:, review of literature, methodology, results or findings, analysis and discussion, conclusions, recommendations, review of literature, the presentation of report, other sugest topic.

Johor & Batam DCI Report 2024: Data Centre Colocation, Hyperscale Cloud & Interconnection

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The narrative around the Johor data centre market has quickly transitioned from being an overflow scenario for the Singapore market to being seen as the first and most important AI data centre hub in the Asia-Pacific region. The growth in Johor was initially triggered by the data centre build pause put in place by the Singaporean government, which effectively halted the development of new data centre supply. And while the moratorium was recently lifted, new data centre expansions will be subject to close scrutiny and probably be limited to a certain subset of operators. This will open the door to more self-builds from hyperscalers, which will have implications for colocation demand.

Given the current constraints in data centre supply impacting the Singapore market, the logical question is what next given that demand is accelerating as a new wave of AI-related infrastructure begins to roll out. Enter the overflow scenario. And in the context of Singapore, two nearshore locations have emerged – Johor in Malaysia and Batam in Indonesia – to try and accommodate the demand that Singapore will be less and less equipped to serve over the long-term.

The overflow scenario is still a relatively new development and the initial wave of demand is being driven by hyperscale cloud platforms. In Singapore, this has been led by China-based hyperscalers that typically do not self-build outside China and have not planned for future growth as diligently as their US counterparts. The overflow scenario is a good fit for the China-based hyperscalers and they have driven the first wave of expansion. But the US-based hyperscalers are going to follow suit as their requirements continue to expand, and expansion runway in Singapore will increasingly be hard to come by.

Hyperscale cloud demand will continue to drive the market, but AI has the potential to accelerate things in an aggressive direction. Places like Johor are uniquely positioned to serve large-scale AI workloads in a commercially viable and scalable model, while being proximate enough to enable core-edge deployment separation.The Johor and Batam overflow markets are still in their early stages of development. But the potential is there and a pipeline of over 2,000MW (or 2GW) is currently in various stages of development. This is a market geared towards hyperscale capacity and the average data centre build size is 29MW. These builds will soon start to come online, and the combination of hyperscale cloud and AI threatens to push demand to a level where there could even be shortfalls. It is a truly wide open market and the long-term upside is real.

This report is an excellent resource for any service provider, investor or enterprise end user looking to understand and project the data centre market in Johor and Batam or find a service provider. The methodology applied continues to be the most robust in the industry. We track supply on a space and power basis, split all the metrics along retail and hyperscale lines, and aggregate inventory in multiple tiers according to build status, absorption rates and maximum capacity levels. Hyperscale cloud nodes and on-ramps are mapped and a complete directory is provided.

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NY state education officials unveil 300-page report on mayoral control. Here’s what they found.

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State education officials unveiled a highly anticipated report on New York City’s polarizing school governance structure on Tuesday — compiling months of public testimony and decades of the city’s history into a nearly 300-page document .

In the report, state officials did not directly advocate for or against extending Mayor Eric Adams’ control of the city’s schools, instead outlining a series of broader findings and recommendations from the public.

Those findings could have major implications for ongoing negotiations in Albany about mayoral control. The report comes as part of a deal state lawmakers struck in 2022 — extending Adams’ control for two years, while giving Albany time to assess the effectiveness of the long-standing system.

Since September, the state’s Education Department has worked with the CUNY School of Law to conduct a study of school governance models. The department also held a series of public hearings across the five boroughs, soliciting feedback from the public. The results of both efforts were included in the report.

At a press conference hours before the release of the report, Adams questioned the methods employed by the state’s Education Department. He took particular issue with the involvement of the CUNY School of Law, suggesting the school was biased against him due to an incident last year when graduates turned their backs on him during a commencement speech.

“So I’m concerned: Is this more political?” Adams said. “Or is it about the way we have done it and what Chancellor [David] Banks has done?”

He also questioned whether the testimony at public hearings was truly reflective of a city as large as New York.

In response to the mayor’s comments, JP O’Hare, a spokesperson for the state’s Education Department, said “we believe the report speaks for itself.”

“This report is a thorough, research-based presentation of school governance models in New York City and elsewhere that meets the law’s requirements with fidelity,” he said. “As intended by the legislature, the report provides thoughtful information and testimony concerning mayoral control of schools.”

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Later in the day, after the release of the report, Education Department First Deputy Chancellor Dan Weisberg called the report “disappointing” and a “missed opportunity” for failing to adequately highlight the city’s progress in closing achievement gaps compared to the rest of the state during the period of mayoral control.

Here are some of the key findings of the state’s report:

NYC model unlike most others in nation, according to report

Mayoral control, which centralizes power over the city’s schools in the hands of the mayor, has been regularly extended since 2002. The system gives the mayor the power to choose a schools chancellor and appoint a majority of members to the city’s Panel for Educational Policy, or PEP, a city board that votes on major policy proposals and contracts.

That model is unlike most others in the country, according to the state report.

Nationwide, a majority of public schools are governed by elected school boards or superintendents, rather than those appointed by a mayor. But even among cities with similar school governance structures, New York City’s model grants more power to the mayor, according to the report.

In other U.S. cities with mayoral control systems, appointments are in some cases picked from a list of names designated by a nominating panel, or require the approval of a city council. The report looked at school governance structures in Boston, Chicago, Detroit, Philadelphia, Washington D.C., Los Angeles, and Yonkers — finding New York City’s model granted the most power to the mayor, followed closely by Yonkers’ system.

Calls for reform in public testimony

Over the past two decades, mayoral control has faced both fierce critics and ardent defenders.

In the report, state officials noted that a majority of speakers at public hearings sought reforms to the current system — expressing that they felt unheard or excluded by the current school governance structure. Further, speakers felt that centralizing authority in the hands of the mayor and chancellor resulted in an ill-suited “one-size-fits-all” approach to the nation’s largest school system.

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Many members of the public pointed to the PEP, arguing that the disproportionate number of mayoral appointees created a system that lacks sufficient “checks and balances.” Others raised concerns over a lack of continuity in programs and policies whenever a new mayor comes into office.

But the report also acknowledged that few people have called for a return to the local school board model that predated mayoral control. Defenders of mayoral control have argued that the current structure allows for more effective and accountable leadership than the previous school board system.

Research ‘inconclusive’ on school governance

Research, meanwhile, remains unclear when it comes to school governance models, according to the report. While some studies suggest that mayoral control can garner more resources for schools and increase efficiency, others found “persistent issues with inefficiency and the misuse of resources.”

The report stated research has found “no conclusive relationship between school governance structures and student achievement,” as well as “little evidence that any governance structure has reduced longstanding inequities in educational access and attainment among students.”

Still, Adams, Banks, and other officials have pointed to test scores and other metrics in defending the current system.

“Clearly, what you see is sustained improvement in graduation rates and proficiency rates for our students,” Weisberg said Tuesday.

He pointed specifically to shrinking gaps between New York City students and the rest of the state on standardized exams over the past two decades and called it a “missed opportunity that the report didn’t compare and contrast.”

The report does, however, have an extensive section on the test score gaps between city students and the rest of the state’s, which have shrunk significantly since 2005, according to data in the report. But researchers were cautious to draw any kind of causal link between mayoral control and the shrinking gaps, noting that there are a number of other factors that influence test scores and that it’s nearly impossible to distinguish the effects of a specific education policy from the effects of mayoral control as a whole.

Weisberg countered that it’s valid to compare the results of city students to kids in the rest of the state taking the same test as long as you take demographics into account.

Meanwhile, a spokesperson for City Hall also emphasized graduation rates and test scores had risen in the years since mayoral control was adopted and called the report a “sham.”

After report, debate over mayoral control will continue

In recent weeks, as lawmakers continued deliberations over the state budget, Banks ramped up his arguments for extending mayoral control. In meetings with lawmakers and public comments, he argued that his track record over the past two years warranted an extension.

But lawmakers have repeatedly pushed back on efforts to include an extension in the upcoming state budget. Some had also refrained from weighing in on the future of the city’s school governance structure before the release of the report.

In a statement Tuesday, State Sen. John Liu, a Queens Democrat who chairs the Senate’s New York City education committee, noted the report would be “invaluable in legislative deliberations and decision-making.”

“We are highly appreciative of Commissioner Betty Rosa and her team of educational professionals at the State Education Department and look forward to thoroughly digesting their findings and recommendations as we take up the important matter of school governance in NYC once the state budget is enacted,” he said.

In addition to its findings, the state report highlighted a series of recommendations from the public’s testimony — including potential tweaks to the makeup of the PEP, and to the roles of Community Education Councils and School Leadership Teams, in order to strengthen the input of local communities in the city’s decision-making process. Members of the public also called for a commission to consider longer-term reforms to the city’s school governance structure.

David Bloomfield, a professor of education, law, and public policy at Brooklyn College and the CUNY Graduate Center, called the report “a mild reprimand of the current system,” adding it “is careful to couch its recommendations as what came out of the hearings, rather than some sort of independent consensus for what should be done.”

Still, “the three-word summary of the report is: ‘We want change,’” he said. “What that change is, is left out.”

Meanwhile, the recommendation to establish a commission to study longer-term reforms could actually offer mayoral control “a reprieve,” Bloomfield said, noting “it has the effect of extending mayoral control in the near term.”

And as discussions over the future of the city’s school governance structure continue, the precise impact of the report remains unclear, said Jonathan Collins, a professor of politics and education at Columbia University’s Teachers College.

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“Ultimately, though, Governor [Kathy] Hochul and the state legislature will have to decide if the juice is worth what’s been a major squeeze,” Collins added.

Michael Elsen-Rooney contributed reporting.

Julian Shen-Berro is a reporter covering New York City. Contact him at [email protected] .

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• Published: 11 April 2024

An innovative MGM–BPNN–ARIMA model for China’s energy consumption structure forecasting from the perspective of compositional data

• Ruixia Suo 1 ,
• Qi Wang 1 ,
• Yuanyuan Tan 1 &
• Qiutong Han 1  

Scientific Reports volume  14 , Article number:  8494 ( 2024 ) Cite this article

Metrics details

• Energy and society
• Energy policy
• Environmental social sciences

Effective forecasting of energy consumption structure is vital for China to reach its “dual carbon” objective. However, little attention has been paid to existing studies on the holistic nature and internal properties of energy consumption structure. Therefore, this paper incorporates the theory of compositional data into the study of energy consumption structure, which not only takes into account the specificity of the internal features of the structure, but also digs deeper into the relative information. Meanwhile, based on the minimization theory of squares of the Aitchison distance in the compositional data, a combined model based on the three single models, namely the metabolism grey model (MGM), back-propagation neural network (BPNN) model, and autoregressive integrated moving average (ARIMA) model, is structured in this paper. The forecast results of the energy consumption structure in 2023–2040 indicate that the future energy consumption structure of China will evolve towards a more diversified pattern, but the proportion of natural gas and non-fossil energy has yet to meet the policy goals set by the government. This paper not only suggests that compositional data from joint prediction models have a high applicability value in the energy sector, but also has some theoretical significance for adapting and improving the energy consumption structure in China.

Introduction

Background and motivation.

As the global greenhouse effect intensifies, how to effectively address climate change has become a global issue for all nations 1 , 2 . The Paris Agreement, a legally binding climate protocol outlining long-term development goals for future temperatures, was signed by about 200 nations in 2015 3 . Hence, a growing number of nations have developed pertinent national strategies with an ambition for a carbon-free future 4 . As the largest energy consumer and carbon emitter in the world, the Chinese government has committed to reaching carbon neutrality by 2060, and implementing “stronger and more powerful policies and measures” to achieve the peak of emissions by 2030 5 . It implies that China will face great challenges in reducing emissions in the future, and that formulating effective “dual carbon” development strategies is one of the priorities of the Chinese government.

Energy consumption is the majority source of carbon emissions in China 6 . Furthermore, China has developed an energy consumption pattern that is dominated by fossil fuels due to its resource structure, which is characterized as “rich in coal, poor in oil, and short of gas” 7 . Nevertheless, the combustion of fossil energy (e.g., coal and oil) generates significant amounts of carbon dioxide emissions. As a result, it is crucial to adjust and optimize the energy consumption structure for China to reduce carbon emissions.

The energy consumption structure is mostly made up of four categories: coal, crude oil, gas, and others (e.g., hydroelectric power, nuclear power) 8 . As shown in Fig.  1 , fossil energy has historically dominated the energy consumption structure in China, and yet its percentage is decreasing every year, while other clean energy (e.g., natural gas and hydropower) is increasing. Actually, the Chinese government’s series of emission reduction initiatives have been more effective, and the energy consumption structure is optimally adjusted each year. However, it is unknown whether the current emissions reduction initiatives will achieve the government’s stated policy goals as expected. Therefore, effectively forecasting the trend of energy consumption structure can not only verify the feasibility of existing policies, but also facilitate the adjustment and formulation of related policies, which can boost the government’s ability to govern.

The structure of energy consumption in China during 2012–2022. * Note : Data from China National Statistical Yearbook.

Literature review

Due to the inherent complexity and asymmetry of multiple interacting elements, energy consumption forecasting has become a challenging problem in the field of time forecasting 9 . At present, there are numerous studies in the energy field related to the dynamical evolution of the energy structure. The quantitative research methods used by scholars fall into two main categories: univariate forecasting models and multivariate forecasting models.

Univariate forecasting models in energy consumption are mainly based on raw series data for forecasting studies, without the intervention of additional influencing factors 10 . In particular, autoregressive integrated moving average (ARIMA) model and grey model (GM) are most widely used in energy consumption forecasting 11 , 12 . Jiang et al. 13 estimated coal costs, consumption, and investment for 2016–2030 in China. By using an ARIMA model, Akram et al. 14 applied an ARIMA model to forecast the residential energy consumption in the household sector, which belongs to the Eurozone countries. Ding et al. 15 proposed a structural adaptive grey model with adjustable temporal power terms to address the time series nonlinear problem of nuclear energy consumption. Yuan et al. 16 projected the primary energy consumption in China using the ARIMA, GM(1,1), and GM-ARIMA hybrid models. Meanwhile, Li et al. 17 developed two combined models: the metabolism grey model with autoregressive integrated moving average model (MGM-ARIMA), and the back-propagation neural network with autoregressive integrated moving average model (BPNN-ARIMA) for forecasting energy consumption in India during 2018–2030. Ma and Wang 18 constructed a nonlinear grey model-autoregressive integrated moving average model (NGM-ARIMA) to forecast the energy consumption in South Africa during 2017–2030.

Multivariate forecasting models in energy consumption, which mainly refer to the construction of forecast models by exploring the relevant influencing factors 16 . There are numerous external influencing factors affecting energy consumption forecasting, and how to identify the furthest relevant factors from the vast potential factors is the crucial issue in the perspective of this study 19 . Scholars have adopted various methods to explore the influencing factors, such as logarithmic mean divisia index (LMDI) method 20 and stepwise regression 21 . Simultaneously, within this study perspective, artificial intelligence algorithms 22 , like support vector machines 23 and neural networks 24 , are frequently employed for energy forecast. Xia and Wang 25 solved the contribution values of the influencing forces affecting the energy consumption structure by the LMDI method, and used an empirical model decomposition model to break down the influencing factors with large contribution values into modal components at various scales. According to the LMDI method, Chai et al. 26 classified influencing drivers of gas consumption into the indicators of economic progress and cleanliness, and constructed a stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, combined with partial least squares regression (PLSR) to analyze the scenario of natural gas consumption in China during 2016–2025. He et al 19 utilized the stepwise regression method to identify major influencing factors and developed two probability density forecasting methods to estimate the consumption of energy in Anhui Province during 2015–2023, Liu et al 27 used LMDI method to analyze the driving factors of carbon emission in Beijing, Tianjin, Shanghai and Chongqing.

Based on the aforementioned diverse literature, it is clear that the majority of current research has focused on the absolute amount of specific types of energy consumption, while too few studies have examined the relative information underlying the totality of energy consumption, which also implies that there are seldom studies that consider energy consumption structure for a whole 28 . The energy consumption structure is essentially a holistic system and should jointly take into account the variability among energy types 29 . Because the energy consumption structure is comprised of four energy sub-structures: coal, oil, natural gas, and other energy resources, which are required to satisfy non-negativity and the total sum should be one 30 . However, the study of energy consumption structure using traditional models does not fully investigate the relative information behind the entire structure and overlooks the holistic nature of the structure. To address this research issue, this paper incorporates the theory of compositional data into the investigation of the energy consumption structure.

Compositional data is a class of complex data with a special structure, which mainly describes the relative information among the components rather than their absolute values, and for which every knowledge about the components must be based on the ratio 31 . The basic concept behind modeling on compositional data is that the initial data is first transformed to produce intertemporal bisectional variables using appropriate techniques. And intermediate variables are then modeled and manipulated using basic modeling methods. Finally, the data results are reduced to compositional data by corresponding inverted transformations 32 , 33 . Recently, the compositional data theory has been applied extensively to forecast the regional industrial and economic structure 34 , study the shift of population structure 35 , and analyze the distribution of rock composition 36 , which are already successfully implemented in numerous areas including agriculture, economics and geology, but it is used less in the energy sector. Qian et al. 30 suggested a unique adaptive discrete grey forecasting model based on compositional data. He et al. 28 developed a dimension reduction through hyperspherical transformation and composite quantile regression neural network (DRHT-CQRNN) model to forecast the structure of total energy consumption in Chongqing during “the 14th Five-Year Plan period (2021–2025)”. Zhang et al. 37 forecasted the structure of bioenergy generation in China based on an innovative grey compositional data model.

At present, few scholars consider the energy consumption structure as a whole system, and the relative information on its constituent components is lacking. Therefore, the theory of compositional data is introduced into the energy consumption structure in this paper to thoroughly explore the internal features of the structure and its interrelations. At the same time, it is found that all the current studies of energy consumption structure based on compositional data are single-mode models. In contrast, the combined model can combine the advantages of each single forecast model to enhance its overall accuracy of forecast and make the model fit and forecast extremely stable 38 , 39 . Therefore, a joint model is constructed based on the theory of compositional data in this paper. The key to the development of a comprehensive model is to determine the single model weights, yet weight selection is a major challenge for combined forecasting methods 40 . There are additional common methods for determining the weights of the combined model, such as minimization of the sum of squares error 41 and reciprocal variance method 42 . However, since the compositional data is merely a vector, calculating its inaccuracy cannot be done by directly deducting the true value from the predicted value; On the contrary, all its internal features must be sufficiently considered. Therefore, the distance between vectors of compositional data is used as a measure of prediction error in this paper, whereby the weighting factor is derived from the minimum squared sum of the Atchison distance among the forecast and true values, then the combined MGM-BPNN-ARIMA model base on compositional data is proposed to forecast the energy consumption structure of China in 2023–2040.

Contribution and research structure

The following are the contributions of this paper.

At present, few studies have considered an energy consumption structure as a whole system, while the relative information about the components of the structure has not been adequately explored. In this paper, we introduce the theory of compositional data into the energy consumption structure and systematically consider the internal features of the energy consumption structure, which fully satisfies the requirement of the non-negative and constant sum of its components.

Considering the vector property of the compositional data, therefore, based on the Aitchison distance sum of squares theory, this paper proposes a combined MGM-BPNN-ARIMA model based on the DRHT method, which has higher prediction accuracy than a single model.

Compare the model forecast results with the current policy goals proposed by the Chinese government. It is conceivable to predict whether China will meet its policy objectives on time, and to make relevant practical recommendations to legislators.

The remainder of the paper is organized as follows. " Materials and methods " section describes the methodology involved in this paper, which includes the theory of compositional data and methods for combining forecast models on compositional data; " Model establishment and analysis " section explains the construction of the specific MGM-BP-ARIMA merger model; " Forecast results and discussion " section contains the results and analysis of the forecast for China’s energy consumption structure during 2023–2040; " Conclusions " section presents the relevant conclusions.

Materials and Methods

Methodology.

The compositional data are positive data that solely provide relative information, which adds up to a constant in the majority of instances 43 . Figure  2 illustrates the major process of the forecast study from the perspective of compositional data involved in this paper, which is classified into the following four primary steps.

The basic process of compositional data forecast.

Step 1 : Take the correlation operation to turn the original data into compositional data (the data are mutually constrained and the sum ratio is distinct).

Step 2 : Use appropriate transformation techniques to create original unconstrained variables from compositional data.

Step 3 : Adopt a correlated time series prediction model for the original variables.

Step 4 : The inverse transformation technique corresponding to the conversion method in Step 2 is taken to convert to the final desired compositional data values.

• Compositional data

To represent a series of compositional data, each value of x i ( i  = 1, 2, …, D) is consistently greater than 0 and satisfies \(\sum\limits_{{{\text{i = }}1}}^{D} {x_{i} { = }c}\) , where c is a constant. Therefore, the space S D formed by compositional data satisfying all the above conditions can be described as follows.

The elements are in D -dimensional row vectors, but since the sum of the components is fixed, that makes it a vector space of D -1 dimensions.

Nevertheless, due to the fixed-sum constraint of the compositional data, typical statistical approaches cannot be directly applied to the mathematical evaluation of compositional data 44 . To overcome the limitations associated with compositional data transformations for general statistical analysis, Aitchison 31 proposed a logistic normal distribution model, and addressed the fixed-sum constraint problem with log-ratio transformation method. Egozcue et al. 32 put forward the isometric log-ratio transformation to handle overlapping subcomponents in compositional decomposition. However, all of the above approaches require the components to be nonzero, which presents certain drawbacks. To further solve the zero-component problem, Wang et al. 45 proposed a dimensionality reduction by the hyper spherical transformation, effectively resolving the dilemma of the existence of zero components in the compositional transformation. The application of spherical coordinate transformation to practical time series forecasting is described as follows.

Set \(X = \left[ {x_{1} ,x_{2} ,...,x_{D} } \right]\) is a composition vector, which satisfies:

If each component of the compositional vector is treated with a square root, then the following results can be obtained:

And it also means that: \(\sum\limits_{i = 1}^{D} {y_{i}^{2} } = 1\) .

the vector \(Y = \left[ {y_{1} ,y_{2} ,...,y_{D} } \right]\) can be regarded as a point on the hypersphere. The spherical coordinate transformation maps the D-dimensional vector \(Y = \left[ {y_{1} ,y_{2} ,...,y_{D} } \right]\) to the hypersphere \(\left[ {r,\theta_{1} ,\theta_{2,} ...,\theta_{D} } \right]\) , where can be satisfied with \(r^{2} = ||y||^{2} = 1\) .

Thus, the computation procedure of the Drht can be summarized as follows:

The calculation process of Drht inverse transformation can be summarized as follows:

Single model

Grey model theory 46 was proposed by Professor Deng Julong to solve the information uncertainty within the system. GM(1,1) model is an essential component of grey system theory, which is concerned with forecasting small sample data by incomplete information. The essential concept of the GM(1,1) model is to generate the primary series by one accumulation, and then create a differential equation model to roughly obtain an approximate estimate of the original series, so as to forecast the subsequent development of the original data. The specific process of modeling the GM (1,1) model is as follows.

Step 1 : Conduct an addition of the initial sequence \(X^{\left( 0 \right)} = \left\{ {X^{\left( 0 \right)} \left( 2 \right),X^{\left( 0 \right)} \left( 3 \right),...X^{\left( 0 \right)} \left( n \right)} \right\}\) to obtain the new sequence \(x^{\left( 1 \right)}\) (the One-AGO sequence \(x^{\left( 0 \right)}\) ).

Step 2 : Compute the mean of the immediate neighbors of the series \(x^{\left( 1 \right)}\) to generate the series \(z^{\left( 1 \right)} = \left( {z^{\left( 1 \right)} \left( 2 \right),z^{\left( 1 \right)} \left( 3 \right),...,z^{\left( 1 \right)} \left( n \right)} \right)\) .

Step 3 : Construct the whitening differential equation for GM(1,1) based on the above formula.

where b denotes the amount of ash action and -a denotes the development factor.

Step 4 : Introduce matrix form to calculate the data matrices B and Y .

Step 5 : Apply the least square method on the estimates of the parameters a and b .

Step 6 : Substitute the solved \(\hat{a},\hat{b}\) into the whitening differential equation, to derive the time-responsive function of the differential equation.

Step 7 : Perform the cumulative subtraction operation to obtain the original sequence \(x^{\left( 0 \right)}\) of the predicted value.

By continuously adding new information, while removing old information promptly, the modeling sequence will more closely represent the present features of the system. In practical forecasting, as the system grows, the information significance of the old data will gradually decline. The MGM(1,1) model is a modernized version of the conventional grey model 17 . Its forecast principle is to utilize the latest data \(X^{\left( 0 \right)} \left( {k + 1} \right)\) predicted by the GM(1,1) model, to replace the oldest data \(X^{\left( 0 \right)} \left( 1 \right)\) in the primary data series \(X^{\left( 0 \right)}\) , to maintain the dimensionality of the data series. Then the GM(1,1) model is repeated with the newest data series \(X^{\left( 0 \right)} = \left\{ {X^{\left( 0 \right)} \left( 2 \right),X^{\left( 0 \right)} \left( 3 \right),...X^{\left( 0 \right)} \left( {k + 1} \right)} \right\}\) , and the new data \(X^{\left( 0 \right)} \left( {k + 2} \right)\) is added to \(X^{\left( 0 \right)} = \left\{ {X^{\left( 0 \right)} \left( 2 \right),X^{\left( 0 \right)} \left( 3 \right),...X^{\left( 0 \right)} \left( {k + 1} \right)} \right\}\) and then subtracted from \(X^{\left( 0 \right)} \left( 2 \right)\) (forming a new series), and the GM (1,1) model will then be used again for forecast and testing. Continue in this manner until the prediction target.

The BPNN model is a multilayer feedforward neural contraction network model trained by a back-ward error propagation algorithm 47 . The propagation of the signal and the subsequent propagation of the mistake make up the bulk of the training process. Firstly, the activation function is weighted to calculate the signal in the input layer, which is then sent to the hidden layer and will ultimately be propagated to the output layer as well. If the requirements of the model error are not met, the weights and thresholds of the BPNN are continuously adjusted based on the gradient descent method, which entails the normal input of the signal again, and the cycle repeats until the output signal obtained from the output layer, which fulfills the accuracy requirements of the model.

ARIMA model

The ARIMA model was originally introduced by Box and Jenkins in the early 1970s as a time series forecasting method. It has found applications in statistics and computational economics, where it is known to be the most widely employed model for time series forecasting. The AR, MA, and ARMA models are the main models used with this model. Essentially, the ARIMA model employs differencing to first smooth the non-stationary data before applying the ARMA model to the stationary data. Moreo-ver, the ARMA model is made up of two components: the AR model and the MA model 48 .

The equation of the AR(p) model is defined as:

The equation for the MA(q) model is defined as:

The equation for the ARMA(p, q) model is defined as:

where \(\mu\) is the constant term, \(\gamma_{i}\) is the AR model coefficient, \(\theta_{i}\) is the MA model coefficient, \(\varepsilon_{t}\) is the white noise series, \(p\) is the autoregressive of orders, and \(q\) is the moving average of orders.

Combined Model

By setting appropriate weights and integrating the projections in a weighted manner, a combined model incorporates forecasts obtained from individual forecasting method. Leveraging the model construction based on each single model, the combined model can maximize the information utilization and thus can optimize the forecast results substantially. The mathematical formulation for the combined model is represented by the following expression.

where \(\hat{f}_{i} \left( t \right)\) is the prediction value for the i th method at moment t and \(\omega_{i} \left( t \right)\) is the combined weight for the i th model at the moment t .

Since the compositional data is just a vector, calculating its inaccuracy cannot be done by simply deducting the true value from the forecast value; instead, all of its internal characteristics must be fully considered. Therefore, in this paper, the distances among the vectors of the compositional data are utilized as a measure of forecast error, whereby the weighting factor is derived from the minimum squared sum of the Atchison distance among the forecast and true values. The Atchison distance is a critical dimension of the compositional data, since it reflects the difference between the proportions of the data. The Acheson distance is defined as follows.

For any \(x,y \in S^{D}\) , then the Aitchison distance between x and y would be equal to:

The error value of the combined prediction of the compositional data for weight calculation based on the Aitchison distance sum of squares is expressed as:

The error value of a single prediction model for each compositional data point at t is:

The error sum of squares for each single compositional data prediction model is expressed as:

According to the above equations, the combined model error can be expressed as:

where \(\alpha\) denotes the weighted coefficient vector of the combined model.

By introducing the n -dimensional vector \(R = \left[ {1,1,..,1} \right]^{T}\) , the constraint on the weighting coefficients can be expressed as:

With the aforementioned transformation, the key to solving for the weights based on the Aitchison distance sum of squares is to achieve J minimization while introducing the Lagrange multiplier. To minimize J , the first-order partial derivative of J concerning being zero, and the final weight coefficient can be calculated as follows.

Accuracy of the model

In terms of forecast accuracy metrics, this paper refers to the traditional common model evaluation metrics: root mean square error (RMSE) and mean absolute percentage error (MAPE), and describes the forecast error evaluation metrics: CMAPE and CRMSE for compositional data 49 . The specific formulas are as follows.

Framework for the study

Considering the vectorial nature of the compositional data, to further improve the accuracy of the energy consumption structure forecast, this paper proposes a compositional binding model based on the theory of minimizing the sum of the squared Aitchison distance errors from the compositional data. In contrast, the study process in this paper is divided into three main steps: (1) Data pre-processing. The primary energy consumption structure is transformed into angle values (intermediate variables), that apply DRHT methods for compositional data. (2) Construction of forecast models. The MGM, BPNN, and ARIMA models were established respectively, the angle values under each model were fitted, and the weight values for each model were calculated, in which Atchison distance squared and minimization theory was applied, with inversion performed by the DRHT method, to obtain the forecast values for the compositional data. (3) Model forecasting. The optimized forecast model is elected by minimum CRMSE and CMAPE values, together with the DRHT method to back-transform the forecast obtained angle values to the actual forecast values. The concrete prediction framework is shown in Fig.  3 .

The methodological framework for this paper.

Model establishment and analysis

The research object of this paper is the energy consumption structure of China for 2000–2022, and the data are obtained from the China National Statistical Yearbook and National Bureau of Statistics. Moreover, the energy consumption structure covered in this paper is divided into four categories: coal, oil, natural gas, and other energy sources (like hydropower and wind energy). The specific structure of Chinese energy consumption during 2000–2022 is depicted in Table 1 , which reveals that coal has long dominated the energy consumption structure, although there has been a more pronounced decreasing trend in the percentage of coal in recent years. The percentage of oil has also been falling each year. The percentage of clean energy (like natural gas) has increased significantly, and despite the continuous improvement and adjustment of the energy consumption structure in China, it is still unbalanced in general.

Transformation of compositional data

Taking into account the peculiar circumstance that the energy consumption structure may have zero subcomponents, in this study, the DRHT approach can be applied to analyze the Chinese energy consumption structure during 2000–2022. Meanwhile, the MGM, BPNN, and ARIMA model are adopted as the benchmark model for the combined model. Before proceeding with the model, the data of the original consumption structure of Table 1 is first subjected to the DRHT method. In this paper, \(\left( {y_{1} ,y_{2} ,y_{3} ,y_{4} } \right)\) are represented the four major components of the energy consumption structure, and \(\left( {\theta_{1} ,\theta_{2} ,\theta_{3} } \right)\) are denoted as the angle values of the compositional data transformed with DRHT, and the specific angle values after conversion are presented in Table 2 .

Construction of the single model

Based on the data in Table 2 , the MGM (1,1) model is utilized to forecast the three groups of angle values \(\left( {\theta_{2} ,\theta_{3} ,\theta_{4} } \right)\) , in which the loop node of the MGM model used in this paper is set to 6 through multiple fitting, meaning that the data from the previous six years can forecast the angle value for the upcoming year. Since the MGM(1,1) model is applied to forecast for all three sets of data \(\left( {\theta_{2} ,\theta_{3} ,\theta_{4} } \right)\) , and the years forecasted span for 2000–2022, the forecasts for 51 angle values can be obtained. Furthermore, the forecasted angle values are inverted to the compositional data, to derive the fitted values for each component of energy consumption structure from 2006 to 2022, as summarized in Table 3 .

Regarding the time series prediction of energy consumption structures using the BPNN model, in this paper, the specific energy consumption substructures of three consecutive years are used as inputs to the neural network to predict the substructures of the following year through multiple fitting. Since there are three sets of angular values after DRHT conversion, three different network models need to be constructed. Regarding the setting of the initial parameters of the neural network, its training function is set to train with a maximum number of iterations of 1000 and an error threshold of 1e-6. For the determination of the hidden layers of neural networks, the hidden layers of the three networks are chosen to be set to five layers in this paper by comparing the models trained with multiple layers. To further improve the prediction accuracy and generalization ability of the BPNN model, the genetic algorithm (GA) is employed in this paper to optimize the weights and thresholds of the BPNN model. For the initial parameters of GA, the selection probability is set to 0.09, the crossover probability is set to 0.4, and the variation pattern is nonUnif Mutation. Then, the trained GA-BPNN model is employed to forecast three sets of angle values. These are loosely related to the values in Table 3 previously. Finally, the predicted angular values are inverse transformed to the compositional data to obtain the fitted values for the components of the energy consumption structure, which are summarized in Table 3 .

According to the data in Table 2 , three independent ARIMA models need to be constructed in this paper to predict the three data sets separately. based on the information criterion of minimization of AIC and BIC to find the optimal parameter values of the three ARIMA models, and the three ARIMA models finally identified for adoption as ARIMA(1,0,2), ARIMA(1,1,0) and ARIMA(0,1,0). Meanwhile, the fitting goodness of fit of all three models is above 0.85, which is a good fit. The fitting results of the above three ARIMA models values after inversion with the compositional data are demonstrated in Table 3 .

Optimal model selection

In this paper, the three monomial models constructed above are used as benchmark models for compositional prediction, simultaneously the weights of the combined MGM-BPNN-ARIMA model are derived from the theory of minimization of squared Atchison distances on compositional data. To additionally select the optimal joint model, the corresponding joint model is also constructed in this paper based on any two of the single models mentioned above. The weights and error values for the specific joint model are given in Table 4 . Next, the CMAPE and CRMSE values of each combined model are compared and the model with the lowest error is chosen as the forecast model. Considering the inconsistent data nodes used by each model, the values from 2006 to 2022 are presented as the basic values for the weight assignment and model error comparison in this paper. Moreover, Fig.  4 compares the CRMSE and CMAPE values for all potential merger models.

Comparison of CRMSE and CMAPE values for each model.

Table 4 sums up the error values (CRMSE and CMAPE) of each model and the results of the weight assignment of the combined model. It can be stated that the error values of the combined models are all less than the single model, in which the ARIMA model is the single model with the lowest error, and the combination of the benchmark models performs well, with CRMSE values below 6% and CMAPE values below 3.25%. And the best prediction is achieved by the MGM-BPNN-ARIMA combination model. The weight value of this combined model is (0.181,0.275,0.544), which predicted the CRMSE value of 5.739% and the CMAPE value of 3.150%. Compared to the ARIMA model, which has the smallest error value among the individual models, its CMAPE value is reduced by 0.173%, and its CRMSE value is reduced by about 0.353%, and compared to the combined BPNN-ARIMA and MGM-ARIMA model based on the ARIMA model, the CMAPE values are reduced by 0.076% and 0.064%, and the CRMSE values are reduced by about 0.146% and 0.175%. It implies that the combined MGM-BPNN-ARIMA model constructed improves the forecast accuracy. Moreover, it also further illustrates that the forecast of the compositional data based on the Atchison distance squared and minimization theory has obvious advantages, as it completely utilizes the internal structural features of the compositional data for the study.

Forecast results and discussion

Based on the values of China’s energy consumption structure during 2000–2022, the model (the DRHT transformed MGM-BPNN-ARIMA combination model) with the lowest CRMAE and CMAPE values is adopted in this paper, to forecast the energy consumption structure of China for 2023–2040. The forecast results of the specific sub-structure percentages for the four categories of energy consumption structure are shown in Table 5 , while the trends of each type of energy consumption are depicted in Fig.  5 .

The energy consumption structure in China for 2023–2040.

As indicated in Table 5 and Fig.  5 , the future energy consumption structure of China will be adjusted and improved, in which the proportion of coal consumption will keep decreasing, and remain at 53.5% in 2030 and 48.4% in 2040, which means that coal consumption will still hold a major position in China’s energy consumption structure. Simultaneously, the share of oil consumption will also decrease, from about 17.5% in 2023 to 13.6% in 2040, so the proportion of fossil energy consumption will show an obvious declining trend, further indicating the optimized adjustment of China’s energy consumption structure in the future. Meanwhile, the proportion of natural gas consumption will maintain an upward trend, rising substantially from 8.5% in 2023 to 11.6% in 2040. And the proportion of other clean energy (e.g., wind power and hydropower) will reach 21.5% in 2030, 23.9% in 2035, and 26.3% in 2040, a significant increase from 18.4% in 2023. To further compare the forecast results with the actual policy goals, a concrete comparison of the energy consumption structure of China in 2025, 2030, 2035 and 2040 is shown in Fig.  6 . In accordance with the above statistics, there is a rapid development of non-fossil energy, and its share in the energy consumption structure is increasing each year, but the entire energy consumption structure is still in a state of imbalance, which also means that China’s energy consumption structure still needs to be adjusted and optimized more.

Coal . Coal will remain a substantial part of China’s energy consumption structure in 2023–2040, but its share shows a decreasing trend, falling from 55.7% in 2023 to 48.4% in 2040. However, as a major energy consumer, China’s total energy consumption has always been large and coal is still used to some extent at peak consumption levels. Therefore, China should stick to the objective of exploring new energy sources to alternative coal consumption, so that coal gradually loses its dominance in energy consumption.

Oil . From 2023 to 2040, China’s oil share shows a clear downward trend, from 17.5% in 2023 to 13.6% in 2040. Therefore, there is a downward trend for fossil energy (i.e., oil and coal), but the energy consumption structure in China will be dominated by them over time. It is essential for the Chinese government to take measures to develop non-fossil energy sources and reduce oil consumption, thus promoting an optimal transformation of the energy consumption structure.

Natural gas . The “Strategy for the Energy Production and Consumption Revolution (2016–2030)” mentions that by 2030, China will reach a natural gas consumption share of about 15%. However, gas consumption is only 9.8% in 2030 and 11.6% in 2040, falling short of the proposed policy target. As such, it is critical to make effective policy adjustments to increase the production and supply of natural gas and thus promote its substitution for conventional elevated-carbon fossil energy sources.

Others . The “Action Plan to Achieve Carbon Peak by 2030” issued that during “the 14th Five-Year Plan (2020–2025)”, By 2025, China will have made major strides in the optimization and adjustment of its energy structure, and the percentage of non-fossil energy consumption will be close to 20%. During “the Tenth Five-Year Plan (2026–2030)”, the percentage of non-fossil energy consumption will be more increased, and by 2030, the percentage of non-fossil energy consumption will reach about 25%. However, the forecasted conclusions indicate that the percentage of non-fossil energy consumption in 2030 would only be 21.5%, falling short of the 2030 policy aim, and only corresponding with the Chinese the administration’s 2025 policy target. As a result, China still needs to step up its energy reform efforts, accelerate the development of renewable energy technologies such as wind and solar power, and grow the clean energy industry.

Comparison of China’s energy consumption structure in 2025, 2030, 2035 and 2040.

To further support the improvement and modification of China’s energy consumption structure, the following recommendations are made. First, a more detailed and clear development roadmap should be drawn up to ensure that the policy goals set can be promoted in a reasonable and orderly manner. Second, high-tech development should be vigorously developed to speed up the transformation of the industrial structure. Second, we should develop high-tech technologies and accelerate the transformation of industrial structures. For example, improving the energy utilization efficiency of key industries with “high energy consumption” and “elevated emissions” (e.g., the iron and steel industry), to achieve the ultimate “coal reduction”. Third, the development of a diverse energy landscape should be actively encouraged, which implies expanding the growth of clean energy sources, such as water and wind power, and the progressive and orderly replacement of fossil energy consumption by clean renewable energy consumption, as with coal. Finally, public awareness of green and low-carbon development should be increased, and green consumption by all should be encouraged.

Conclusions

The energy consumption structure is fundamentally a holistic system with a disjoint internal structure, which implies that its constituent parts are non-negative and add up to one. However, due to the lack of sufficient excavation of information on the energy consumption structure, few scholars have conducted research in this area. At the same time, classic time series forecasting methods determine the percentages of each component independently, ignoring structural integrity and failing to thoroughly examine internal development trends. As a result, this paper incorporates compositional data into the energy consumption structure and evaluates the energy consumption structure as a whole system. This not only meets the numerical restrictions of the components (non-negative and constant), but also effectively displays the intrinsic development trend of each component behind the system. In this paper, we use historical data to forecast the trend of China’s energy consumption structure from 2000 to 2022. In terms of forecasting model selection, this paper proposes a joint MGM-BPNN-ARIMA forecasting model with the best predictive performance based on the traditional single model to forecast the evolution of China’s energy consumption structure during 2023–2040.

With the overall objectives of “carbon peaking” and “carbon neutrality”, the Chinese authorities have taken a series of practical steps to optimize the energy structure, and have also set policy goals for the energy consumption structure of China. The predictive studies presented in this paper can, to some extent, test whether the policy objectives for China’s energy consumption structure can be achieved as expected. Based on the combined MGM-BPNN-ARIMA model predictions after the DRHT conversion constructed in this paper, it is evident that the Chinese energy consumption structure is still in a non-reciprocal state during 2023–2040, with the coal already dominating the energy consumption structure but gradually declining in importance. The percentage of non-fossil energy consumption will be 19.3% in 2025, 9.8% for natural gas and 21.5% for non-fossil energy in 2030, which is considerably different from the policy target, but the share of clean energy consumption has increased to 31.3%.

This paper incorporates compositional data into the study of China’s energy consumption structure forecast, which fully considers the overall structure and the internal characteristics required. However, this predictive approach is mainly based on historical data and does not take into account various effects such as actual polarization. Therefore, in the sequel, it is necessary to integrate the essential affecting forces of the energy consumption structure with the theory of compositional data to construct a multi-factorial dynamic predictive model.

Data availability

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

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Ruixia Suo, Qi Wang, Yuanyuan Tan & Qiutong Han

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R.S.: Conceptualization, Methodology, Investigation, Writing-Review & Editing, Supervision, Funding acquisition. W.Q.: Software, Formal analysis, Data curation, Writing—Original Draft, Writing-Revie & Editing. T.Y.: Project administration, Resources, Visualization. H.Q.: Validation, Project administration.

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Suo, R., Wang, Q., Tan, Y. et al. An innovative MGM–BPNN–ARIMA model for China’s energy consumption structure forecasting from the perspective of compositional data. Sci Rep 14 , 8494 (2024). https://doi.org/10.1038/s41598-024-58966-z

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DOI : https://doi.org/10.1038/s41598-024-58966-z

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