• USC Libraries
  • Research Guides

Organizing Your Social Sciences Research Paper

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

The purpose of the discussion section is to interpret and describe the significance of your findings in relation to what was already known about the research problem being investigated and to explain any new understanding or insights that emerged as a result of your research. The discussion will always connect to the introduction by way of the research questions or hypotheses you posed and the literature you reviewed, but the discussion does not simply repeat or rearrange the first parts of your paper; the discussion clearly explains how your study advanced the reader's understanding of the research problem from where you left them at the end of your review of prior research.

Annesley, Thomas M. “The Discussion Section: Your Closing Argument.” Clinical Chemistry 56 (November 2010): 1671-1674; Peacock, Matthew. “Communicative Moves in the Discussion Section of Research Articles.” System 30 (December 2002): 479-497.

Importance of a Good Discussion

The discussion section is often considered the most important part of your research paper because it:

  • Most effectively demonstrates your ability as a researcher to think critically about an issue, to develop creative solutions to problems based upon a logical synthesis of the findings, and to formulate a deeper, more profound understanding of the research problem under investigation;
  • Presents the underlying meaning of your research, notes possible implications in other areas of study, and explores possible improvements that can be made in order to further develop the concerns of your research;
  • Highlights the importance of your study and how it can contribute to understanding the research problem within the field of study;
  • Presents how the findings from your study revealed and helped fill gaps in the literature that had not been previously exposed or adequately described; and,
  • Engages the reader in thinking critically about issues based on an evidence-based interpretation of findings; it is not governed strictly by objective reporting of information.

Annesley Thomas M. “The Discussion Section: Your Closing Argument.” Clinical Chemistry 56 (November 2010): 1671-1674; Bitchener, John and Helen Basturkmen. “Perceptions of the Difficulties of Postgraduate L2 Thesis Students Writing the Discussion Section.” Journal of English for Academic Purposes 5 (January 2006): 4-18; Kretchmer, Paul. Fourteen Steps to Writing an Effective Discussion Section. San Francisco Edit, 2003-2008.

Structure and Writing Style

I.  General Rules

These are the general rules you should adopt when composing your discussion of the results :

  • Do not be verbose or repetitive; be concise and make your points clearly
  • Avoid the use of jargon or undefined technical language
  • Follow a logical stream of thought; in general, interpret and discuss the significance of your findings in the same sequence you described them in your results section [a notable exception is to begin by highlighting an unexpected result or a finding that can grab the reader's attention]
  • Use the present verb tense, especially for established facts; however, refer to specific works or prior studies in the past tense
  • If needed, use subheadings to help organize your discussion or to categorize your interpretations into themes

II.  The Content

The content of the discussion section of your paper most often includes :

  • Explanation of results : Comment on whether or not the results were expected for each set of findings; go into greater depth to explain findings that were unexpected or especially profound. If appropriate, note any unusual or unanticipated patterns or trends that emerged from your results and explain their meaning in relation to the research problem.
  • References to previous research : Either compare your results with the findings from other studies or use the studies to support a claim. This can include re-visiting key sources already cited in your literature review section, or, save them to cite later in the discussion section if they are more important to compare with your results instead of being a part of the general literature review of prior research used to provide context and background information. Note that you can make this decision to highlight specific studies after you have begun writing the discussion section.
  • Deduction : A claim for how the results can be applied more generally. For example, describing lessons learned, proposing recommendations that can help improve a situation, or highlighting best practices.
  • Hypothesis : A more general claim or possible conclusion arising from the results [which may be proved or disproved in subsequent research]. This can be framed as new research questions that emerged as a consequence of your analysis.

III.  Organization and Structure

Keep the following sequential points in mind as you organize and write the discussion section of your paper:

  • Think of your discussion as an inverted pyramid. Organize the discussion from the general to the specific, linking your findings to the literature, then to theory, then to practice [if appropriate].
  • Use the same key terms, narrative style, and verb tense [present] that you used when describing the research problem in your introduction.
  • Begin by briefly re-stating the research problem you were investigating and answer all of the research questions underpinning the problem that you posed in the introduction.
  • Describe the patterns, principles, and relationships shown by each major findings and place them in proper perspective. The sequence of this information is important; first state the answer, then the relevant results, then cite the work of others. If appropriate, refer the reader to a figure or table to help enhance the interpretation of the data [either within the text or as an appendix].
  • Regardless of where it's mentioned, a good discussion section includes analysis of any unexpected findings. This part of the discussion should begin with a description of the unanticipated finding, followed by a brief interpretation as to why you believe it appeared and, if necessary, its possible significance in relation to the overall study. If more than one unexpected finding emerged during the study, describe each of them in the order they appeared as you gathered or analyzed the data. As noted, the exception to discussing findings in the same order you described them in the results section would be to begin by highlighting the implications of a particularly unexpected or significant finding that emerged from the study, followed by a discussion of the remaining findings.
  • Before concluding the discussion, identify potential limitations and weaknesses if you do not plan to do so in the conclusion of the paper. Comment on their relative importance in relation to your overall interpretation of the results and, if necessary, note how they may affect the validity of your findings. Avoid using an apologetic tone; however, be honest and self-critical [e.g., in retrospect, had you included a particular question in a survey instrument, additional data could have been revealed].
  • The discussion section should end with a concise summary of the principal implications of the findings regardless of their significance. Give a brief explanation about why you believe the findings and conclusions of your study are important and how they support broader knowledge or understanding of the research problem. This can be followed by any recommendations for further research. However, do not offer recommendations which could have been easily addressed within the study. This would demonstrate to the reader that you have inadequately examined and interpreted the data.

IV.  Overall Objectives

The objectives of your discussion section should include the following: I.  Reiterate the Research Problem/State the Major Findings

Briefly reiterate the research problem or problems you are investigating and the methods you used to investigate them, then move quickly to describe the major findings of the study. You should write a direct, declarative, and succinct proclamation of the study results, usually in one paragraph.

II.  Explain the Meaning of the Findings and Why They are Important

No one has thought as long and hard about your study as you have. Systematically explain the underlying meaning of your findings and state why you believe they are significant. After reading the discussion section, you want the reader to think critically about the results and why they are important. You don’t want to force the reader to go through the paper multiple times to figure out what it all means. If applicable, begin this part of the section by repeating what you consider to be your most significant or unanticipated finding first, then systematically review each finding. Otherwise, follow the general order you reported the findings presented in the results section.

III.  Relate the Findings to Similar Studies

No study in the social sciences is so novel or possesses such a restricted focus that it has absolutely no relation to previously published research. The discussion section should relate your results to those found in other studies, particularly if questions raised from prior studies served as the motivation for your research. This is important because comparing and contrasting the findings of other studies helps to support the overall importance of your results and it highlights how and in what ways your study differs from other research about the topic. Note that any significant or unanticipated finding is often because there was no prior research to indicate the finding could occur. If there is prior research to indicate this, you need to explain why it was significant or unanticipated. IV.  Consider Alternative Explanations of the Findings

It is important to remember that the purpose of research in the social sciences is to discover and not to prove . When writing the discussion section, you should carefully consider all possible explanations for the study results, rather than just those that fit your hypothesis or prior assumptions and biases. This is especially important when describing the discovery of significant or unanticipated findings.

V.  Acknowledge the Study’s Limitations

It is far better for you to identify and acknowledge your study’s limitations than to have them pointed out by your professor! Note any unanswered questions or issues your study could not address and describe the generalizability of your results to other situations. If a limitation is applicable to the method chosen to gather information, then describe in detail the problems you encountered and why. VI.  Make Suggestions for Further Research

You may choose to conclude the discussion section by making suggestions for further research [as opposed to offering suggestions in the conclusion of your paper]. Although your study can offer important insights about the research problem, this is where you can address other questions related to the problem that remain unanswered or highlight hidden issues that were revealed as a result of conducting your research. You should frame your suggestions by linking the need for further research to the limitations of your study [e.g., in future studies, the survey instrument should include more questions that ask..."] or linking to critical issues revealed from the data that were not considered initially in your research.

NOTE: Besides the literature review section, the preponderance of references to sources is usually found in the discussion section . A few historical references may be helpful for perspective, but most of the references should be relatively recent and included to aid in the interpretation of your results, to support the significance of a finding, and/or to place a finding within a particular context. If a study that you cited does not support your findings, don't ignore it--clearly explain why your research findings differ from theirs.

V.  Problems to Avoid

  • Do not waste time restating your results . Should you need to remind the reader of a finding to be discussed, use "bridge sentences" that relate the result to the interpretation. An example would be: “In the case of determining available housing to single women with children in rural areas of Texas, the findings suggest that access to good schools is important...," then move on to further explaining this finding and its implications.
  • As noted, recommendations for further research can be included in either the discussion or conclusion of your paper, but do not repeat your recommendations in the both sections. Think about the overall narrative flow of your paper to determine where best to locate this information. However, if your findings raise a lot of new questions or issues, consider including suggestions for further research in the discussion section.
  • Do not introduce new results in the discussion section. Be wary of mistaking the reiteration of a specific finding for an interpretation because it may confuse the reader. The description of findings [results section] and the interpretation of their significance [discussion section] should be distinct parts of your paper. If you choose to combine the results section and the discussion section into a single narrative, you must be clear in how you report the information discovered and your own interpretation of each finding. This approach is not recommended if you lack experience writing college-level research papers.
  • Use of the first person pronoun is generally acceptable. Using first person singular pronouns can help emphasize a point or illustrate a contrasting finding. However, keep in mind that too much use of the first person can actually distract the reader from the main points [i.e., I know you're telling me this--just tell me!].

Analyzing vs. Summarizing. Department of English Writing Guide. George Mason University; Discussion. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Hess, Dean R. "How to Write an Effective Discussion." Respiratory Care 49 (October 2004); Kretchmer, Paul. Fourteen Steps to Writing to Writing an Effective Discussion Section. San Francisco Edit, 2003-2008; The Lab Report. University College Writing Centre. University of Toronto; Sauaia, A. et al. "The Anatomy of an Article: The Discussion Section: "How Does the Article I Read Today Change What I Will Recommend to my Patients Tomorrow?” The Journal of Trauma and Acute Care Surgery 74 (June 2013): 1599-1602; Research Limitations & Future Research . Lund Research Ltd., 2012; Summary: Using it Wisely. The Writing Center. University of North Carolina; Schafer, Mickey S. Writing the Discussion. Writing in Psychology course syllabus. University of Florida; Yellin, Linda L. A Sociology Writer's Guide . Boston, MA: Allyn and Bacon, 2009.

Writing Tip

Don’t Over-Interpret the Results!

Interpretation is a subjective exercise. As such, you should always approach the selection and interpretation of your findings introspectively and to think critically about the possibility of judgmental biases unintentionally entering into discussions about the significance of your work. With this in mind, be careful that you do not read more into the findings than can be supported by the evidence you have gathered. Remember that the data are the data: nothing more, nothing less.

MacCoun, Robert J. "Biases in the Interpretation and Use of Research Results." Annual Review of Psychology 49 (February 1998): 259-287; Ward, Paulet al, editors. The Oxford Handbook of Expertise . Oxford, UK: Oxford University Press, 2018.

Another Writing Tip

Don't Write Two Results Sections!

One of the most common mistakes that you can make when discussing the results of your study is to present a superficial interpretation of the findings that more or less re-states the results section of your paper. Obviously, you must refer to your results when discussing them, but focus on the interpretation of those results and their significance in relation to the research problem, not the data itself.

Azar, Beth. "Discussing Your Findings."  American Psychological Association gradPSYCH Magazine (January 2006).

Yet Another Writing Tip

Avoid Unwarranted Speculation!

The discussion section should remain focused on the findings of your study. For example, if the purpose of your research was to measure the impact of foreign aid on increasing access to education among disadvantaged children in Bangladesh, it would not be appropriate to speculate about how your findings might apply to populations in other countries without drawing from existing studies to support your claim or if analysis of other countries was not a part of your original research design. If you feel compelled to speculate, do so in the form of describing possible implications or explaining possible impacts. Be certain that you clearly identify your comments as speculation or as a suggestion for where further research is needed. Sometimes your professor will encourage you to expand your discussion of the results in this way, while others don’t care what your opinion is beyond your effort to interpret the data in relation to the research problem.

  • << Previous: Using Non-Textual Elements
  • Next: Limitations of the Study >>
  • Last Updated: Aug 20, 2024 12:13 PM
  • URL: https://libguides.usc.edu/writingguide
  • Affiliate Program

Wordvice

  • UNITED STATES
  • 台灣 (TAIWAN)
  • TÜRKIYE (TURKEY)
  • Academic Editing Services
  • - Research Paper
  • - Journal Manuscript
  • - Dissertation
  • - College & University Assignments
  • Admissions Editing Services
  • - Application Essay
  • - Personal Statement
  • - Recommendation Letter
  • - Cover Letter
  • - CV/Resume
  • Business Editing Services
  • - Business Documents
  • - Report & Brochure
  • - Website & Blog
  • Writer Editing Services
  • - Script & Screenplay
  • Our Editors
  • Client Reviews
  • Editing & Proofreading Prices
  • Wordvice Points
  • Partner Discount
  • Plagiarism Checker
  • APA Citation Generator
  • MLA Citation Generator
  • Chicago Citation Generator
  • Vancouver Citation Generator
  • - APA Style
  • - MLA Style
  • - Chicago Style
  • - Vancouver Style
  • Writing & Editing Guide
  • Academic Resources
  • Admissions Resources

How to Write a Discussion Section for a Research Paper

how to write the results and discussion section of a research paper

We’ve talked about several useful writing tips that authors should consider while drafting or editing their research papers. In particular, we’ve focused on  figures and legends , as well as the Introduction ,  Methods , and  Results . Now that we’ve addressed the more technical portions of your journal manuscript, let’s turn to the analytical segments of your research article. In this article, we’ll provide tips on how to write a strong Discussion section that best portrays the significance of your research contributions.

What is the Discussion section of a research paper?

In a nutshell,  your Discussion fulfills the promise you made to readers in your Introduction . At the beginning of your paper, you tell us why we should care about your research. You then guide us through a series of intricate images and graphs that capture all the relevant data you collected during your research. We may be dazzled and impressed at first, but none of that matters if you deliver an anti-climactic conclusion in the Discussion section!

Are you feeling pressured? Don’t worry. To be honest, you will edit the Discussion section of your manuscript numerous times. After all, in as little as one to two paragraphs ( Nature ‘s suggestion  based on their 3,000-word main body text limit), you have to explain how your research moves us from point A (issues you raise in the Introduction) to point B (our new understanding of these matters). You must also recommend how we might get to point C (i.e., identify what you think is the next direction for research in this field). That’s a lot to say in two paragraphs!

So, how do you do that? Let’s take a closer look.

What should I include in the Discussion section?

As we stated above, the goal of your Discussion section is to  answer the questions you raise in your Introduction by using the results you collected during your research . The content you include in the Discussions segment should include the following information:

  • Remind us why we should be interested in this research project.
  • Describe the nature of the knowledge gap you were trying to fill using the results of your study.
  • Don’t repeat your Introduction. Instead, focus on why  this  particular study was needed to fill the gap you noticed and why that gap needed filling in the first place.
  • Mainly, you want to remind us of how your research will increase our knowledge base and inspire others to conduct further research.
  • Clearly tell us what that piece of missing knowledge was.
  • Answer each of the questions you asked in your Introduction and explain how your results support those conclusions.
  • Make sure to factor in all results relevant to the questions (even if those results were not statistically significant).
  • Focus on the significance of the most noteworthy results.
  • If conflicting inferences can be drawn from your results, evaluate the merits of all of them.
  • Don’t rehash what you said earlier in the Results section. Rather, discuss your findings in the context of answering your hypothesis. Instead of making statements like “[The first result] was this…,” say, “[The first result] suggests [conclusion].”
  • Do your conclusions line up with existing literature?
  • Discuss whether your findings agree with current knowledge and expectations.
  • Keep in mind good persuasive argument skills, such as explaining the strengths of your arguments and highlighting the weaknesses of contrary opinions.
  • If you discovered something unexpected, offer reasons. If your conclusions aren’t aligned with current literature, explain.
  • Address any limitations of your study and how relevant they are to interpreting your results and validating your findings.
  • Make sure to acknowledge any weaknesses in your conclusions and suggest room for further research concerning that aspect of your analysis.
  • Make sure your suggestions aren’t ones that should have been conducted during your research! Doing so might raise questions about your initial research design and protocols.
  • Similarly, maintain a critical but unapologetic tone. You want to instill confidence in your readers that you have thoroughly examined your results and have objectively assessed them in a way that would benefit the scientific community’s desire to expand our knowledge base.
  • Recommend next steps.
  • Your suggestions should inspire other researchers to conduct follow-up studies to build upon the knowledge you have shared with them.
  • Keep the list short (no more than two).

How to Write the Discussion Section

The above list of what to include in the Discussion section gives an overall idea of what you need to focus on throughout the section. Below are some tips and general suggestions about the technical aspects of writing and organization that you might find useful as you draft or revise the contents we’ve outlined above.

Technical writing elements

  • Embrace active voice because it eliminates the awkward phrasing and wordiness that accompanies passive voice.
  • Use the present tense, which should also be employed in the Introduction.
  • Sprinkle with first person pronouns if needed, but generally, avoid it. We want to focus on your findings.
  • Maintain an objective and analytical tone.

Discussion section organization

  • Keep the same flow across the Results, Methods, and Discussion sections.
  • We develop a rhythm as we read and parallel structures facilitate our comprehension. When you organize information the same way in each of these related parts of your journal manuscript, we can quickly see how a certain result was interpreted and quickly verify the particular methods used to produce that result.
  • Notice how using parallel structure will eliminate extra narration in the Discussion part since we can anticipate the flow of your ideas based on what we read in the Results segment. Reducing wordiness is important when you only have a few paragraphs to devote to the Discussion section!
  • Within each subpart of a Discussion, the information should flow as follows: (A) conclusion first, (B) relevant results and how they relate to that conclusion and (C) relevant literature.
  • End with a concise summary explaining the big-picture impact of your study on our understanding of the subject matter. At the beginning of your Discussion section, you stated why  this  particular study was needed to fill the gap you noticed and why that gap needed filling in the first place. Now, it is time to end with “how your research filled that gap.”

Discussion Part 1: Summarizing Key Findings

Begin the Discussion section by restating your  statement of the problem  and briefly summarizing the major results. Do not simply repeat your findings. Rather, try to create a concise statement of the main results that directly answer the central research question that you stated in the Introduction section . This content should not be longer than one paragraph in length.

Many researchers struggle with understanding the precise differences between a Discussion section and a Results section . The most important thing to remember here is that your Discussion section should subjectively evaluate the findings presented in the Results section, and in relatively the same order. Keep these sections distinct by making sure that you do not repeat the findings without providing an interpretation.

Phrase examples: Summarizing the results

  • The findings indicate that …
  • These results suggest a correlation between A and B …
  • The data present here suggest that …
  • An interpretation of the findings reveals a connection between…

Discussion Part 2: Interpreting the Findings

What do the results mean? It may seem obvious to you, but simply looking at the figures in the Results section will not necessarily convey to readers the importance of the findings in answering your research questions.

The exact structure of interpretations depends on the type of research being conducted. Here are some common approaches to interpreting data:

  • Identifying correlations and relationships in the findings
  • Explaining whether the results confirm or undermine your research hypothesis
  • Giving the findings context within the history of similar research studies
  • Discussing unexpected results and analyzing their significance to your study or general research
  • Offering alternative explanations and arguing for your position

Organize the Discussion section around key arguments, themes, hypotheses, or research questions or problems. Again, make sure to follow the same order as you did in the Results section.

Discussion Part 3: Discussing the Implications

In addition to providing your own interpretations, show how your results fit into the wider scholarly literature you surveyed in the  literature review section. This section is called the implications of the study . Show where and how these results fit into existing knowledge, what additional insights they contribute, and any possible consequences that might arise from this knowledge, both in the specific research topic and in the wider scientific domain.

Questions to ask yourself when dealing with potential implications:

  • Do your findings fall in line with existing theories, or do they challenge these theories or findings? What new information do they contribute to the literature, if any? How exactly do these findings impact or conflict with existing theories or models?
  • What are the practical implications on actual subjects or demographics?
  • What are the methodological implications for similar studies conducted either in the past or future?

Your purpose in giving the implications is to spell out exactly what your study has contributed and why researchers and other readers should be interested.

Phrase examples: Discussing the implications of the research

  • These results confirm the existing evidence in X studies…
  • The results are not in line with the foregoing theory that…
  • This experiment provides new insights into the connection between…
  • These findings present a more nuanced understanding of…
  • While previous studies have focused on X, these results demonstrate that Y.

Step 4: Acknowledging the limitations

All research has study limitations of one sort or another. Acknowledging limitations in methodology or approach helps strengthen your credibility as a researcher. Study limitations are not simply a list of mistakes made in the study. Rather, limitations help provide a more detailed picture of what can or cannot be concluded from your findings. In essence, they help temper and qualify the study implications you listed previously.

Study limitations can relate to research design, specific methodological or material choices, or unexpected issues that emerged while you conducted the research. Mention only those limitations directly relate to your research questions, and explain what impact these limitations had on how your study was conducted and the validity of any interpretations.

Possible types of study limitations:

  • Insufficient sample size for statistical measurements
  • Lack of previous research studies on the topic
  • Methods/instruments/techniques used to collect the data
  • Limited access to data
  • Time constraints in properly preparing and executing the study

After discussing the study limitations, you can also stress that your results are still valid. Give some specific reasons why the limitations do not necessarily handicap your study or narrow its scope.

Phrase examples: Limitations sentence beginners

  • “There may be some possible limitations in this study.”
  • “The findings of this study have to be seen in light of some limitations.”
  •  “The first limitation is the…The second limitation concerns the…”
  •  “The empirical results reported herein should be considered in the light of some limitations.”
  • “This research, however, is subject to several limitations.”
  • “The primary limitation to the generalization of these results is…”
  • “Nonetheless, these results must be interpreted with caution and a number of limitations should be borne in mind.”

Discussion Part 5: Giving Recommendations for Further Research

Based on your interpretation and discussion of the findings, your recommendations can include practical changes to the study or specific further research to be conducted to clarify the research questions. Recommendations are often listed in a separate Conclusion section , but often this is just the final paragraph of the Discussion section.

Suggestions for further research often stem directly from the limitations outlined. Rather than simply stating that “further research should be conducted,” provide concrete specifics for how future can help answer questions that your research could not.

Phrase examples: Recommendation sentence beginners

  • Further research is needed to establish …
  • There is abundant space for further progress in analyzing…
  • A further study with more focus on X should be done to investigate…
  • Further studies of X that account for these variables must be undertaken.

Consider Receiving Professional Language Editing

As you edit or draft your research manuscript, we hope that you implement these guidelines to produce a more effective Discussion section. And after completing your draft, don’t forget to submit your work to a professional proofreading and English editing service like Wordvice, including our manuscript editing service for  paper editing , cover letter editing , SOP editing , and personal statement proofreading services. Language editors not only proofread and correct errors in grammar, punctuation, mechanics, and formatting but also improve terms and revise phrases so they read more naturally. Wordvice is an industry leader in providing high-quality revision for all types of academic documents.

For additional information about how to write a strong research paper, make sure to check out our full  research writing series !

Wordvice Writing Resources

  • How to Write a Research Paper Introduction 
  • Which Verb Tenses to Use in a Research Paper
  • How to Write an Abstract for a Research Paper
  • How to Write a Research Paper Title
  • Useful Phrases for Academic Writing
  • Common Transition Terms in Academic Papers
  • Active and Passive Voice in Research Papers
  • 100+ Verbs That Will Make Your Research Writing Amazing
  • Tips for Paraphrasing in Research Papers

Additional Academic Resources

  •   Guide for Authors.  (Elsevier)
  •  How to Write the Results Section of a Research Paper.  (Bates College)
  •   Structure of a Research Paper.  (University of Minnesota Biomedical Library)
  •   How to Choose a Target Journal  (Springer)
  •   How to Write Figures and Tables  (UNC Writing Center)
  • Privacy Policy

Research Method

Home » Research Results Section – Writing Guide and Examples

Research Results Section – Writing Guide and Examples

Table of Contents

Research Results

Research Results

Research results refer to the findings and conclusions derived from a systematic investigation or study conducted to answer a specific question or hypothesis. These results are typically presented in a written report or paper and can include various forms of data such as numerical data, qualitative data, statistics, charts, graphs, and visual aids.

Results Section in Research

The results section of the research paper presents the findings of the study. It is the part of the paper where the researcher reports the data collected during the study and analyzes it to draw conclusions.

In the results section, the researcher should describe the data that was collected, the statistical analysis performed, and the findings of the study. It is important to be objective and not interpret the data in this section. Instead, the researcher should report the data as accurately and objectively as possible.

Structure of Research Results Section

The structure of the research results section can vary depending on the type of research conducted, but in general, it should contain the following components:

  • Introduction: The introduction should provide an overview of the study, its aims, and its research questions. It should also briefly explain the methodology used to conduct the study.
  • Data presentation : This section presents the data collected during the study. It may include tables, graphs, or other visual aids to help readers better understand the data. The data presented should be organized in a logical and coherent way, with headings and subheadings used to help guide the reader.
  • Data analysis: In this section, the data presented in the previous section are analyzed and interpreted. The statistical tests used to analyze the data should be clearly explained, and the results of the tests should be presented in a way that is easy to understand.
  • Discussion of results : This section should provide an interpretation of the results of the study, including a discussion of any unexpected findings. The discussion should also address the study’s research questions and explain how the results contribute to the field of study.
  • Limitations: This section should acknowledge any limitations of the study, such as sample size, data collection methods, or other factors that may have influenced the results.
  • Conclusions: The conclusions should summarize the main findings of the study and provide a final interpretation of the results. The conclusions should also address the study’s research questions and explain how the results contribute to the field of study.
  • Recommendations : This section may provide recommendations for future research based on the study’s findings. It may also suggest practical applications for the study’s results in real-world settings.

Outline of Research Results Section

The following is an outline of the key components typically included in the Results section:

I. Introduction

  • A brief overview of the research objectives and hypotheses
  • A statement of the research question

II. Descriptive statistics

  • Summary statistics (e.g., mean, standard deviation) for each variable analyzed
  • Frequencies and percentages for categorical variables

III. Inferential statistics

  • Results of statistical analyses, including tests of hypotheses
  • Tables or figures to display statistical results

IV. Effect sizes and confidence intervals

  • Effect sizes (e.g., Cohen’s d, odds ratio) to quantify the strength of the relationship between variables
  • Confidence intervals to estimate the range of plausible values for the effect size

V. Subgroup analyses

  • Results of analyses that examined differences between subgroups (e.g., by gender, age, treatment group)

VI. Limitations and assumptions

  • Discussion of any limitations of the study and potential sources of bias
  • Assumptions made in the statistical analyses

VII. Conclusions

  • A summary of the key findings and their implications
  • A statement of whether the hypotheses were supported or not
  • Suggestions for future research

Example of Research Results Section

An Example of a Research Results Section could be:

  • This study sought to examine the relationship between sleep quality and academic performance in college students.
  • Hypothesis : College students who report better sleep quality will have higher GPAs than those who report poor sleep quality.
  • Methodology : Participants completed a survey about their sleep habits and academic performance.

II. Participants

  • Participants were college students (N=200) from a mid-sized public university in the United States.
  • The sample was evenly split by gender (50% female, 50% male) and predominantly white (85%).
  • Participants were recruited through flyers and online advertisements.

III. Results

  • Participants who reported better sleep quality had significantly higher GPAs (M=3.5, SD=0.5) than those who reported poor sleep quality (M=2.9, SD=0.6).
  • See Table 1 for a summary of the results.
  • Participants who reported consistent sleep schedules had higher GPAs than those with irregular sleep schedules.

IV. Discussion

  • The results support the hypothesis that better sleep quality is associated with higher academic performance in college students.
  • These findings have implications for college students, as prioritizing sleep could lead to better academic outcomes.
  • Limitations of the study include self-reported data and the lack of control for other variables that could impact academic performance.

V. Conclusion

  • College students who prioritize sleep may see a positive impact on their academic performance.
  • These findings highlight the importance of sleep in academic success.
  • Future research could explore interventions to improve sleep quality in college students.

Example of Research Results in Research Paper :

Our study aimed to compare the performance of three different machine learning algorithms (Random Forest, Support Vector Machine, and Neural Network) in predicting customer churn in a telecommunications company. We collected a dataset of 10,000 customer records, with 20 predictor variables and a binary churn outcome variable.

Our analysis revealed that all three algorithms performed well in predicting customer churn, with an overall accuracy of 85%. However, the Random Forest algorithm showed the highest accuracy (88%), followed by the Support Vector Machine (86%) and the Neural Network (84%).

Furthermore, we found that the most important predictor variables for customer churn were monthly charges, contract type, and tenure. Random Forest identified monthly charges as the most important variable, while Support Vector Machine and Neural Network identified contract type as the most important.

Overall, our results suggest that machine learning algorithms can be effective in predicting customer churn in a telecommunications company, and that Random Forest is the most accurate algorithm for this task.

Example 3 :

Title : The Impact of Social Media on Body Image and Self-Esteem

Abstract : This study aimed to investigate the relationship between social media use, body image, and self-esteem among young adults. A total of 200 participants were recruited from a university and completed self-report measures of social media use, body image satisfaction, and self-esteem.

Results: The results showed that social media use was significantly associated with body image dissatisfaction and lower self-esteem. Specifically, participants who reported spending more time on social media platforms had lower levels of body image satisfaction and self-esteem compared to those who reported less social media use. Moreover, the study found that comparing oneself to others on social media was a significant predictor of body image dissatisfaction and lower self-esteem.

Conclusion : These results suggest that social media use can have negative effects on body image satisfaction and self-esteem among young adults. It is important for individuals to be mindful of their social media use and to recognize the potential negative impact it can have on their mental health. Furthermore, interventions aimed at promoting positive body image and self-esteem should take into account the role of social media in shaping these attitudes and behaviors.

Importance of Research Results

Research results are important for several reasons, including:

  • Advancing knowledge: Research results can contribute to the advancement of knowledge in a particular field, whether it be in science, technology, medicine, social sciences, or humanities.
  • Developing theories: Research results can help to develop or modify existing theories and create new ones.
  • Improving practices: Research results can inform and improve practices in various fields, such as education, healthcare, business, and public policy.
  • Identifying problems and solutions: Research results can identify problems and provide solutions to complex issues in society, including issues related to health, environment, social justice, and economics.
  • Validating claims : Research results can validate or refute claims made by individuals or groups in society, such as politicians, corporations, or activists.
  • Providing evidence: Research results can provide evidence to support decision-making, policy-making, and resource allocation in various fields.

How to Write Results in A Research Paper

Here are some general guidelines on how to write results in a research paper:

  • Organize the results section: Start by organizing the results section in a logical and coherent manner. Divide the section into subsections if necessary, based on the research questions or hypotheses.
  • Present the findings: Present the findings in a clear and concise manner. Use tables, graphs, and figures to illustrate the data and make the presentation more engaging.
  • Describe the data: Describe the data in detail, including the sample size, response rate, and any missing data. Provide relevant descriptive statistics such as means, standard deviations, and ranges.
  • Interpret the findings: Interpret the findings in light of the research questions or hypotheses. Discuss the implications of the findings and the extent to which they support or contradict existing theories or previous research.
  • Discuss the limitations : Discuss the limitations of the study, including any potential sources of bias or confounding factors that may have affected the results.
  • Compare the results : Compare the results with those of previous studies or theoretical predictions. Discuss any similarities, differences, or inconsistencies.
  • Avoid redundancy: Avoid repeating information that has already been presented in the introduction or methods sections. Instead, focus on presenting new and relevant information.
  • Be objective: Be objective in presenting the results, avoiding any personal biases or interpretations.

When to Write Research Results

Here are situations When to Write Research Results”

  • After conducting research on the chosen topic and obtaining relevant data, organize the findings in a structured format that accurately represents the information gathered.
  • Once the data has been analyzed and interpreted, and conclusions have been drawn, begin the writing process.
  • Before starting to write, ensure that the research results adhere to the guidelines and requirements of the intended audience, such as a scientific journal or academic conference.
  • Begin by writing an abstract that briefly summarizes the research question, methodology, findings, and conclusions.
  • Follow the abstract with an introduction that provides context for the research, explains its significance, and outlines the research question and objectives.
  • The next section should be a literature review that provides an overview of existing research on the topic and highlights the gaps in knowledge that the current research seeks to address.
  • The methodology section should provide a detailed explanation of the research design, including the sample size, data collection methods, and analytical techniques used.
  • Present the research results in a clear and concise manner, using graphs, tables, and figures to illustrate the findings.
  • Discuss the implications of the research results, including how they contribute to the existing body of knowledge on the topic and what further research is needed.
  • Conclude the paper by summarizing the main findings, reiterating the significance of the research, and offering suggestions for future research.

Purpose of Research Results

The purposes of Research Results are as follows:

  • Informing policy and practice: Research results can provide evidence-based information to inform policy decisions, such as in the fields of healthcare, education, and environmental regulation. They can also inform best practices in fields such as business, engineering, and social work.
  • Addressing societal problems : Research results can be used to help address societal problems, such as reducing poverty, improving public health, and promoting social justice.
  • Generating economic benefits : Research results can lead to the development of new products, services, and technologies that can create economic value and improve quality of life.
  • Supporting academic and professional development : Research results can be used to support academic and professional development by providing opportunities for students, researchers, and practitioners to learn about new findings and methodologies in their field.
  • Enhancing public understanding: Research results can help to educate the public about important issues and promote scientific literacy, leading to more informed decision-making and better public policy.
  • Evaluating interventions: Research results can be used to evaluate the effectiveness of interventions, such as treatments, educational programs, and social policies. This can help to identify areas where improvements are needed and guide future interventions.
  • Contributing to scientific progress: Research results can contribute to the advancement of science by providing new insights and discoveries that can lead to new theories, methods, and techniques.
  • Informing decision-making : Research results can provide decision-makers with the information they need to make informed decisions. This can include decision-making at the individual, organizational, or governmental levels.
  • Fostering collaboration : Research results can facilitate collaboration between researchers and practitioners, leading to new partnerships, interdisciplinary approaches, and innovative solutions to complex problems.

Advantages of Research Results

Some Advantages of Research Results are as follows:

  • Improved decision-making: Research results can help inform decision-making in various fields, including medicine, business, and government. For example, research on the effectiveness of different treatments for a particular disease can help doctors make informed decisions about the best course of treatment for their patients.
  • Innovation : Research results can lead to the development of new technologies, products, and services. For example, research on renewable energy sources can lead to the development of new and more efficient ways to harness renewable energy.
  • Economic benefits: Research results can stimulate economic growth by providing new opportunities for businesses and entrepreneurs. For example, research on new materials or manufacturing techniques can lead to the development of new products and processes that can create new jobs and boost economic activity.
  • Improved quality of life: Research results can contribute to improving the quality of life for individuals and society as a whole. For example, research on the causes of a particular disease can lead to the development of new treatments and cures, improving the health and well-being of millions of people.

About the author

' src=

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

Significance of the Study

Significance of the Study – Examples and Writing...

Research Topic

Research Topics – Ideas and Examples

Survey Instruments

Survey Instruments – List and Their Uses

Ethical Considerations

Ethical Considerations – Types, Examples and...

Dissertation vs Thesis

Dissertation vs Thesis – Key Differences

Research Methodology

Research Methodology – Types, Examples and...

alwaysresearching.com

never stop your research process

Guide on how to write results and discussion in a research paper.

The results and discussion section of a research paper document what you did in the entire research. You could call them the most important sections in a research paper, although other sections are also important. To write the results and discussion in research paper, you need to have the technical know-how of writing. We will give you practical tips on starting and writing results and discussions if you keep reading.

What is the difference between results and discussion in academic writing?

Before we get into how to write these two important sections in a research paper, let’s talk about their differences. The major difference between them is what aspect of the entire research they contain. The results section objectively reports your findings as they are; no speculations on why you found the results. On the other hand, the discussion section interprets the results, putting them in context, and explaining their importance.

Both sections are sometimes combined in research, particularly in qualitative research. In quantitative research, you are expected to separate the results from the discussion – that is, each section on different pages. An excellent place to get a good idea of how two write these sections is in a results and discussion example.

How to write discussion in research paper

In the discussion section of a research paper, you’re going in-depth with your findings, discussing their meaning, importance, and relevance. You’re not including any background research; you’re instead focusing on evaluating and explaining your results. Then, you’ll indicate how it relates to your research questions or thesis statement and literature review. Below is what to include in the discussion section of a research paper t:

  • Results summary : In one paragraph, reiterate the research problem and briefly discuss your major results. Avoid repeating the data you already reported in the results section; clearly state the result that directly answers your research problem.
  • Interpret your results : Your aim is to ensure your readers understand your results, how they answer the research questions, and their significance to them. This section typically covers identifying patterns and correlations among the data and discussing whether or not the results supported your thesis. It also contextualizes your results with previous research, explains unexpected results and their significance, considers possible explanations, and argues your position.
  • Discussing the implications : While giving your interpretation of the results, don’t forget to relate them back to the articles you used in the literature review. This shows how your results fit with existing knowledge, the insights they contribute, and their consequences for practice or theory.
  • State the limitations : Every research has its limitations, even the best ones; you need to acknowledge your research’s limitations to demonstrate your credibility. You’re not necessarily listing errors; you’re giving a realistic picture of what your study can and cannot do.
  • Recommend : Use your findings to recommend further research or practical implementation; this part sometimes goes with the conclusion. Instead of stating that more studies be done, show what and how future work can build on the areas your paper couldn’t address.

Practical tips on how to start a results and discussion section

The results and discussion section of a research paper can be the easiest part to write or the hardest. It all depends on you knowing what to include and not include and how to start writing. Below are helpful tips for writing the results and discussion section of a research paper:

  • Please don’t repeat the results in the discussion; start with repeating the research questions and explain how the results answer them.
  • Start from the simple results to the complex; you can even start with the conclusion first, but ensure it is consistent with your objectives.
  • Don’t explain your results in the result section; simply state your findings as directly and simply as possible.
  • Emphasize what new, different, or important things your results add to knowledge in the discussion section.
  • Understand the difference between statistical significance and clinical importance.
  • The tables and graphs in the results section should stand alone, with texts highlighting their importance or meaning.
  • Arbitrarily present your results, with sidelights results not receiving equal weight.

Now, you can write your paper’s results and discussion section with these tips, understanding what and what not to include. We recommend that you go online and check through an example of discussion in research paper – or samples. If you see how professionals write it, you’re a step closer to being good at writing it yourself.

how to write the results and discussion section of a research paper

You Might Also Like

No Picture

What Is the Normal Research Paper Length?

Best way to organize research and write a perfect paper, term paper help guide for your perfect piece, leave a reply cancel.

UCI Libraries Mobile Site

  • Langson Library
  • Science Library
  • Grunigen Medical Library
  • Law Library
  • Connect From Off-Campus
  • Accessibility
  • Gateway Study Center

Libaries home page

Email this link

Writing a scientific paper.

  • Writing a lab report
  • INTRODUCTION

Writing a "good" discussion section

"discussion and conclusions checklist" from: how to write a good scientific paper. chris a. mack. spie. 2018., peer review.

  • LITERATURE CITED
  • Bibliography of guides to scientific writing and presenting
  • Presentations
  • Lab Report Writing Guides on the Web

This is is usually the hardest section to write. You are trying to bring out the true meaning of your data without being too long. Do not use words to conceal your facts or reasoning. Also do not repeat your results, this is a discussion.

  • Present principles, relationships and generalizations shown by the results
  • Point out exceptions or lack of correlations. Define why you think this is so.
  • Show how your results agree or disagree with previously published works
  • Discuss the theoretical implications of your work as well as practical applications
  • State your conclusions clearly. Summarize your evidence for each conclusion.
  • Discuss the significance of the results
  •  Evidence does not explain itself; the results must be presented and then explained.
  • Typical stages in the discussion: summarizing the results, discussing whether results are expected or unexpected, comparing these results to previous work, interpreting and explaining the results (often by comparison to a theory or model), and hypothesizing about their generality.
  • Discuss any problems or shortcomings encountered during the course of the work.
  • Discuss possible alternate explanations for the results.
  • Avoid: presenting results that are never discussed; presenting discussion that does not relate to any of the results; presenting results and discussion in chronological order rather than logical order; ignoring results that do not support the conclusions; drawing conclusions from results without logical arguments to back them up. 

CONCLUSIONS

  • Provide a very brief summary of the Results and Discussion.
  • Emphasize the implications of the findings, explaining how the work is significant and providing the key message(s) the author wishes to convey.
  • Provide the most general claims that can be supported by the evidence.
  • Provide a future perspective on the work.
  • Avoid: repeating the abstract; repeating background information from the Introduction; introducing new evidence or new arguments not found in the Results and Discussion; repeating the arguments made in the Results and Discussion; failing to address all of the research questions set out in the Introduction. 

WHAT HAPPENS AFTER I COMPLETE MY PAPER?

 The peer review process is the quality control step in the publication of ideas.  Papers that are submitted to a journal for publication are sent out to several scientists (peers) who look carefully at the paper to see if it is "good science".  These reviewers then recommend to the editor of a journal whether or not a paper should be published. Most journals have publication guidelines. Ask for them and follow them exactly.    Peer reviewers examine the soundness of the materials and methods section.  Are the materials and methods used written clearly enough for another scientist to reproduce the experiment?  Other areas they look at are: originality of research, significance of research question studied, soundness of the discussion and interpretation, correct spelling and use of technical terms, and length of the article.

  • << Previous: RESULTS
  • Next: LITERATURE CITED >>
  • Last Updated: Aug 4, 2023 9:33 AM
  • URL: https://guides.lib.uci.edu/scientificwriting

Off-campus? Please use the Software VPN and choose the group UCIFull to access licensed content. For more information, please Click here

Software VPN is not available for guests, so they may not have access to some content when connecting from off-campus.

  • Research Process
  • Manuscript Preparation
  • Manuscript Review
  • Publication Process
  • Publication Recognition
  • Language Editing Services
  • Translation Services

Elsevier QRcode Wechat

How to write the results section of a research paper

  • 3 minute read
  • 76.2K views

Table of Contents

At its core, a research paper aims to fill a gap in the research on a given topic. As a result, the results section of the paper, which describes the key findings of the study, is often considered the core of the paper. This is the section that gets the most attention from reviewers, peers, students, and any news organization reporting on your findings. Writing a clear, concise, and logical results section is, therefore, one of the most important parts of preparing your manuscript.

Difference between results and discussion

Before delving into how to write the results section, it is important to first understand the difference between the results and discussion sections. The results section needs to detail the findings of the study. The aim of this section is not to draw connections between the different findings or to compare it to previous findings in literature—that is the purview of the discussion section. Unlike the discussion section, which can touch upon the hypothetical, the results section needs to focus on the purely factual. In some cases, it may even be preferable to club these two sections together into a single section. For example, while writing  a review article, it can be worthwhile to club these two sections together, as the main results in this case are the conclusions that can be drawn from the literature.

Structure of the results section

Although the main purpose of the results section in a research paper is to report the findings, it is necessary to present an introduction and repeat the research question. This establishes a connection to the previous section of the paper and creates a smooth flow of information.

Next, the results section needs to communicate the findings of your research in a systematic manner. The section needs to be organized such that the primary research question is addressed first, then the secondary research questions. If the research addresses multiple questions, the results section must individually connect with each of the questions. This ensures clarity and minimizes confusion while reading.

Consider representing your results visually. For example, graphs, tables, and other figures can help illustrate the findings of your paper, especially if there is a large amount of data in the results.

Remember, an appealing results section can help peer reviewers better understand the merits of your research, thereby increasing your chances of publication.

Practical guidance for writing an effective results section for a research paper

  • Always use simple and clear language. Avoid the use of uncertain or out-of-focus expressions.
  • The findings of the study must be expressed in an objective and unbiased manner. While it is acceptable to correlate certain findings in the discussion section, it is best to avoid overinterpreting the results.
  • If the research addresses more than one hypothesis, use sub-sections to describe the results. This prevents confusion and promotes understanding.
  • Ensure that negative results are included in this section, even if they do not support the research hypothesis.
  • Wherever possible, use illustrations like tables, figures, charts, or other visual representations to showcase the results of your research paper. Mention these illustrations in the text, but do not repeat the information that they convey.
  • For statistical data, it is adequate to highlight the tests and explain their results. The initial or raw data should not be mentioned in the results section of a research paper.

The results section of a research paper is usually the most impactful section because it draws the greatest attention. Regardless of the subject of your research paper, a well-written results section is capable of generating interest in your research.

For detailed information and assistance on writing the results of a research paper, refer to Elsevier Author Services.

Writing a good review article

Writing a good review article

Why is data validation important in research

Why is data validation important in research?

You may also like.

Academic paper format

Submission 101: What format should be used for academic papers?

Being Mindful of Tone and Structure in Artilces

Page-Turner Articles are More Than Just Good Arguments: Be Mindful of Tone and Structure!

How to Ensure Inclusivity in Your Scientific Writing

A Must-see for Researchers! How to Ensure Inclusivity in Your Scientific Writing

impactful introduction section

Make Hook, Line, and Sinker: The Art of Crafting Engaging Introductions

Limitations of a Research

Can Describing Study Limitations Improve the Quality of Your Paper?

Guide to Crafting Impactful Sentences

A Guide to Crafting Shorter, Impactful Sentences in Academic Writing

Write an Excellent Discussion in Your Manuscript

6 Steps to Write an Excellent Discussion in Your Manuscript

How to Write Clear Civil Engineering Papers

How to Write Clear and Crisp Civil Engineering Papers? Here are 5 Key Tips to Consider

Input your search keywords and press Enter.

Training videos   |   Faqs

Ref-n-Write: Scientific Research Paper Writing Software

Academic Phrases for Writing Results & Discussion Sections of a Research Paper

Overview |   Abstract   | Introduction | Literature Review | Materials & Methods | Results & Discussion | Conclusion & Future Work | Acknowledgements & Appendix

The results and discussion sections are one of the challenging sections to write. It is important to plan this section carefully as it may contain a large amount of scientific data that needs to be presented in a clear and concise fashion. The purpose of a Results section is to present the key results of your research. Results and discussions can either be combined into one section or organized as separate sections depending on the requirements of the journal to which you are submitting your research paper. Use subsections and subheadings to improve readability and clarity. Number all tables and figures with descriptive titles. Present your results as figures and tables and point the reader to relevant items while discussing the results. This section should highlight significant or interesting findings along with P values for statistical tests. Be sure to include negative results and highlight potential limitations of the paper. You will be criticised by the reviewers if you don’t discuss the shortcomings of your research. This often makes up for a great discussion section, so do not be afraid to highlight them.

The results and discussion section of your research paper should include the following:

  • Comparison with prior studies
  • Limitations of your work
  • Casual arguments
  • Speculations
  • Deductive arguments

1. Findings

From the short review above, key findings emerge: __ We describe the results of __, which show __ This suggests that __ We showed that __ Our findings on __ at least hint that __ This is an important finding in the understanding of the __ The present study confirmed the findings about __ Another promising finding was that __ Our results demonstrated that __ This result highlights that little is known about the __ A further novel finding is that __ Together, the present findings confirm __ The implications of these findings are discussed in __ The results demonstrate two things.  First, __. Second,  __ The results of the experiment found clear support for the __ This analysis found evidence for __ Planned comparisons revealed that __ Our results casts a new light on __ This section summarises the findings and contributions made. It performs well, giving good results. This gives clearly better results than __ The results confirm that this a good choice for __ From the results, it is clear that __ In this section, we will illustrate some experimental results. This delivers significantly better results due to __ The result now provides evidence to __ It leads to good results, even if the improvement is negligible. This yields increasingly good results on data. The result of this analysis is then compared with the  __ The applicability of these new results are then tested on __ This is important to correctly interpret the results. The results are substantially better than __ The results lead to similar conclusion where __ Superior results are seen for __ From these results it is clear that __ Extensive results carried out show that this method improves __ We obtain good results with this simple method. However, even better results are achieved when using our algorithm. It is worth discussing these interesting facts revealed by the results of  __ Overall, our method was the one that obtained the most robust results. Slightly superior results are achieved with our algorithm. The result is equal to or better than a result that is currently accepted.

2. Comparison with prior studies

The results demonstrated in this chapter match state of the art methods. Here we compare the results of the proposed method with those of the traditional methods. These results go beyond previous reports, showing that __ In line with previous studies __ This result ties well with previous studies wherein __ Contrary to the findings of __ we did not find __ They have demonstrated that __ Others have shown that __ improves __ By comparing the results from __, we hope to determine __ However, in line with the ideas of __, it can be concluded that __ When comparing our results to those of older studies, it must be pointed out that __ We have verified that using __ produces similar results Overall these findings are in accordance with findings reported by __ Even though we did not replicate the previously reported __, our results suggest that __ A similar conclusion was reached by __ However, when comparing our results to those of older studies, it must be pointed out __ This is consistent with what has been found in previous __ A similar pattern of results was obtained in __ The findings are directly in line with previous findings These basic findings are consistent with research showing that __ Other results were broadly in line with __

3. Limitations of your work

Because of the lack of __ we decided to not investigate __ One concern about the findings of __ was that __ Because of this potential limitation, we treat __ The limitations of the present studies naturally include __ Regarding the limitations of __, it could be argued that __ Another limitation of this __ This limitation is apparent in many __ Another limitation in __ involves the issue of __ The main limitation is the lack of __ One limitation is found in this case. One limitation of these methods however is that they __ It presents some limitations such as __ Although widely accepted, it suffers from some limitations due to __ An apparent limitation of the method is __ There are several limitations to this approach. One limitation of our implementation is that it is __ A major source of limitation is due to  __ The approach utilised suffers from the limitation that __ The limitations are becoming clear __ It suffers from the same limitations associated with a __

4. Casual arguments

A popular explanation of __ is that __ It is by now generally accepted that __ A popular explanation is that __ As it is not generally agreed that __ These are very small and difficult to observe. It is important to highlight the fact that __ It is notable that __ An important question associated with __ is __ This did not impair the __ This is important because there is __ This implies that __ is associated with __ This is indicative for lack of __ This will not be biased by __ There were also some important differences in __ It is interesting to note that, __ It is unlikely that __ This may alter or improve aspects of __ In contrast, this makes it possible to __ This is particularly important when investigating __ This has been used to successfully account for __ This introduces a possible confound in __ This was included to verify that __

5. Speculations

However, we acknowledge that there are considerable discussions among researchers as to __ We speculate that this might be due to __ There are reasons to doubt this explanation of __ It remains unclear to which degree __ are attributed to __ However, __ does seem to improve __ This does seem to depend on __ It is important to note, that the present evidence relies on __ The results show that __ does not seem to impact the __ However, the extent to which it is possible to __ is unknown Alternatively, it could simply mean that __ It is difficult to explain such results within the context of __ It is unclear whether this is a suitable for __ This appears to be a case of __ From this standpoint, __ can be considered as __ To date, __remain unknown Under certain assumptions, this can be construed as __ Because of this potential limitation, we treat __ In addition, several questions remain unanswered. At this stage of understanding, we believe__ Therefore, it remains unclear whether __ This may explain why __

6. Deductive arguments

A difference between these __ can only be attributable to __ Nonetheless, we believe that it is well justified to __ This may raise concerns about __ which can be addressed by __ As discussed, this is due to the fact that __ Results demonstrate that this is not necessarily true. These findings support the notion that __ is not influenced by __ This may be the reason why we did not find __ In order to test whether this is equivalent across __, we __ Therefore, __ can be considered to be equivalent for __

Similar Posts

Academic Phrases for Writing Conclusion Section of a Research Paper

Academic Phrases for Writing Conclusion Section of a Research Paper

In this blog, we discuss phrases related to conclusion section such as summary of results and future work.

How to Write a Research Paper? A Beginners Guide with Useful Academic Phrases

How to Write a Research Paper? A Beginners Guide with Useful Academic Phrases

This blog explains how to write a research paper and provides writing ideas in the form of academic phrases.

Academic Phrases for Writing Literature Review Section of a Research Paper

Academic Phrases for Writing Literature Review Section of a Research Paper

In this blog, we discuss phrases related to literature review such as summary of previous literature, research gap and research questions.

Academic Phrases for Writing Acknowledgements & Appendix Sections of a Research Paper

Academic Phrases for Writing Acknowledgements & Appendix Sections of a Research Paper

In this blog, we discuss phrases related to thanking colleagues, acknowledging funders and writing the appendix section.

Academic Phrases for Writing Abstract Section of a Research Paper

Academic Phrases for Writing Abstract Section of a Research Paper

In this blog, we discuss phrases related to the abstract section. An abstract is a self-contained and short synopsis that describes a larger work.

Academic Writing Resources – Academic PhraseBank | Academic Vocabulary & Word Lists

Academic Writing Resources – Academic PhraseBank | Academic Vocabulary & Word Lists

In this blog, we review various academic writing resources such as academic phrasebank, academic wordlists, academic vocabulary training sites.

32 Comments

Awesome vocab given, I am really thankful. keep it up!

Why didn’t I find this earlier? Thank you very much! Bless your soul!

thank you!! very useful!!!

Thank you, thank you thank you!!

I’m currently writing up my PhD thesis and as a non-native English speaker, I find this site extremely useful. Thanks for making it!

Very ve4y resourceful..well done Sam

Plesse add me to your mailing list Email: [email protected]

Hi, would like to clarify if that is “casual” or “causal”? Thanks!

Hi there, it should read “causal.”

Thanx for this. so helpful!

Very helpful. Thanks

thank you so much

  • Pingback: Scholarly Paraphrasing Tool and Essay Rewriter for Rewording Academic Papers - Ref-N-Write: Scientific Research Paper Writing Software Tool - Improve Academic English Writing Skills

thankyouuuuuu

thank you very much

wow thanks for the help!!

Quite interesting! Thanks a lot!

This is ammmaazzinggg, too bad im in my last year of university this is very handy!!!

Extremely Useful. Thank-you so much.

This is an excellent collection of phrases for effective writing

Thank you so much, it has been helpful.

I found it extremely important!!!

It is a precise, brief and important guides;

It is a very important which gives a guide;

It is a very important guiding explanation for writing result and discussion;

It is a very important guiding academic phrases for writing;

thank you so much.I was in need of this.

  • Pingback: Research Paper Structure – Main Sections and Parts of a Research Paper

Thank you so much!!! They are so helpful!

thank its very important.

This is timely, I needed it. Thanks

This is very helpful. Thanks.

You saved my Bachoelor thesis! Huge thanks

Leave a Reply Cancel reply

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

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

  • 91 Share Facebook
  • 68 Share Twitter
  • 53 Share LinkedIn
  • 0.1K Share Email

how to write the results and discussion section of a research paper

Broad Institute of MIT and Harvard

Journal Article: Discussion

Criteria for success.

A strong Discussion section:

  • Tells the main conclusion of the paper in one or two sentences.
  • Tells how the paper’s results contribute to answering the big questions posed in the Introduction.
  • Explains how (and why) this work agrees or disagrees with other, similar work.
  • Explains how the limitations of this study leave the big questions unanswered.
  • Tells how extensions of this paper’s results will be useful for answering the big questions.

Structure Diagram

The Discussion is the part of your paper where you can share what you think your results mean with respect to the big questions you posed in your Introduction. The Introduction and Discussion are natural partners: the Introduction tells the reader what question you are working on and why you did this experiment to investigate it; the Discussion tells the reader what the results of that experiment have to say about the bigger question.

Imagine you explained the results in the paper to a labmate who looks confused and asks you, “Sure, but so what? Why was this cool or interesting?” Your response to your labmate should be similar to the content in the Discussion.

Analyze Your Audience

Different kinds of readers will expect different things from your Discussion. Readers who are not experts in your field might read your Discussion before your Results in the hopes that they can learn what your Results mean and why your paper is important without having to learn how to interpret your experimental results. They might also be interested to know what you think the future of your field is. Readers who are more familiar with your field will generally understand what the results of your experiments say, but they will be curious about how you interpreted confusing, conflicting, or complicated results.

As you write your Discussion, decide who will find each paragraph interesting and what you want them to take away from it. Successful Discussions can simultaneously provide the specific, nuanced information that experts want to read and the broader, more general statements that non-experts can appreciate.

The balance between expert and non-expert readers in your target audience will depend on the journal to which you submit. High-profile, general readership journals will have more non-expert readers, while more technical, field-specific journals have almost exclusively expert readers.

Tell how your paper is special

Weak Discussions begin with a summary of the results or a repetition of the main points of the Introduction. Strong Discussions immediately carve out a place for themselves in the large universe of papers by saying what makes this one interesting or special. One way to do this is to start the Discussion with one or two sentences that state the main finding from the results and what that finding means for the field.

Relate your results to existing results

In the Introduction, you probably helped motivate your study by citing previous results in your field. Now that you’ve laid out your results, you should tell whether your results agree or disagree with prior work and why. You might have extended previous work, showed how apparently conflicting results are actually harmonious, or exposed a contradiction that currently has no explanation.

Tell how your study’s limitations leave open the big questions

Every study is finite: you did some things and not others, and you used methods that can explain some phenomena but not others. How do the limitations of your study leave open the bigger questions? Do you just need to do more of the same kind of work? Have you shown that current methods are inadequate for answering the big question?

Every paper is a contribution to a larger scientific conversation. Hopefully, you think your contribution is somehow useful to that conversation: it provides new information or tools that will help you or other researchers move toward answers to the big questions. To explain this contribution, many Discussions end with a forward-looking statement that tries to place the paper in an expected future of research in that field.

This content was adapted from from an article originally created by the  MIT Biological Engineering Communication Lab .

Resources and Annotated Examples

Annotated example 1.

This is the discussion for an article published in Science Translational Medicine . 6 MB

Annotated Example 2

This is the discussion for an article published in Cell . 325 KB

How to Write a Discussion for a Lab Report: A Step-by-Step Guide with Examples

how to write the results and discussion section of a research paper

Writing the discussion for a lab report can be tricky. You’ve gathered all the pieces—your data, results—but now comes the hard part: making sense of it.

Did your results align with your hypothesis, or did they take an unexpected turn? How do your findings fit into the bigger picture? Imagine you’ve conducted an experiment that didn’t go exactly as planned. What does that mean for your hypothesis? How do your results compare with what others have found?

These are the kinds of questions you’ll need to answer to write a compelling discussion.

In this article, we’ll walk you through the essential steps for crafting a lab discussion that’s both clear and insightful:

  • Step 1. Summarize Your Key Findings
  • Step 2. Interpret the Results
  • Step 3. Compare with Existing Literature
  • Step 4. Discuss Potential Limitations
  • Step 5. Suggest Future Research

Below, we’ll break down each step with examples to guide you through the process.

What is a Discussion in a Lab Report?

Lab reports are among the most commonly written documents and can contribute up to 25% of the overall course grade. But there is often insufficient focus on teaching students how to write them effectively.

A lab report discussion section is where you thoroughly explain what your experiment's results really mean. This is where you connect the dots between your report findings and the big questions you set out to answer.

You'll assess whether your results line up with your hypothesis or if they throw a curveball at your expectations. It’s your opportunity to explain the 'why' and 'how'—why your results turned out the way they did and how they fit into the larger picture of your field.

This section is about the data, your interpretation, and the story the data tells.

Struggling with Your Lab Report?

Get expert guidance on writing clear and insightful lab reports and discussions. Make your research shine with professional help!

How Long Should a Discussion Be in a Lab Report?

Typically, the discussion section should take up about 1 to 2 pages . Within these pages, you'll interpret the data, answer the questions you started with, and explore the nuances that make your experiment stand out. It’s the perfect amount of room to connect your data to your hypothesis, consider any surprises, and place your findings within a broader scientific context.

What Should the Discussion in a Lab Report Include?

So, what is the purpose of a discussion in a lab report? Essentially, it's to communicate the significance of your work.

Imagine you've just wrapped up an experiment testing different types of light on plant growth. Here's how you might structure the discussion in your lab report, keeping it engaging and insightful:

  • Interpretation of Results : Let’s say you found that red light significantly boosts plant growth. Discuss how and why red light might affect plant processes more than blue light, perhaps pulling in photosynthesis as a key player.
  • Comparison with Literature : Match your findings with the scientific community’s previous adventures. If studies suggest blue light was the champion, it’s your cue to explore why your results might differ. Could it be the type of plants you used?
  • Explanation of Anomalies : Did one plant under blue light grow unexpectedly tall? Here’s where you hypothesize what might have caused this odd one out—maybe it was a mutation, or perhaps that plant scored some extra nutrients by chance.
  • Implications of Findings : Discuss what your findings mean for the real world. Could red light be the key to faster-growing crops? Here's where you can speculate on practical applications and how they might revolutionize farming practices.
  • Suggestions for Further Research : Your experiment's done, but the scientific story is just beginning. Propose what future researchers might explore next. Maybe, a follow-up experiment could test different light intensities for even better growth results.

parts of a lab report

If you're thinking, "I need someone to help me write an essay ," EssayPro’s essay writing service is here to assist.

Additional Parts of a Lab Report Discussion to Consider

The lab report doesn’t end with data and results. You can also add more layers—methodological reflections, theoretical integration, and personal insights—that extend your experiment’s reach:

  • Methodological Reflections : What alternative approaches could you have taken? Consider different paths that might yield new insights.
  • Theoretical Integration : How do your results align with or challenge existing theories? This is where your research converses with broader scientific ideas.
  • Ethical Considerations : What are the broader consequences of your findings? Reflect on their potential influence on policies and practices.
  • Personal Insights : Share unexpected lessons and discoveries encountered along your research journey, adding unique depth to your narrative.

How to Write a Discussion for a Lab Report?

Writing the discussion for a lab report is your opportunity to evaluate whether your results support your hypothesis or if they’ve taken you in a different direction. It’s all about explaining why things turned out the way they did and how they fit into the larger context of your field.

By the end, you’ll give your professor a clear understanding of what your results mean and why they matter.

Let’s go through the lap report format to make sure your discussion is as clear and insightful as possible.

Step 1: Summarize Your Key Findings

Start your lab discussion by laying out the main results of your experiment, focusing on what really matters to your hypothesis.

Let's say your project was testing out a new AI program to improve online learning. Here’s how you can break it down:

  • Main Results : Start with something straightforward, like, "Our experiment showed that students using the AI learning platform had a 15% improvement in their test scores compared to those using a traditional e-learning system." This gives a clear picture of the outcome.
  • How You Measured Results : Explain how you tracked progress—like the time students spent on activities, their completion rates, and quiz scores. This adds context to your findings.
  • Experiment Setup: How long did your study last? Who participated in it? What types of courses were involved? This helps your professor (and other readers) understand the scope of your results.

Step 2: Interpret the Results

After you've summarized the key findings in your discussion lab report, it’s time to interpret what they mean. This is where you explore the “why” behind the data.

Ask yourself, why did the AI program boost the test scores by 15%? Is it because it offered personalized feedback that traditional methods didn’t? Or could it be that the AI made learning more interactive, keeping students focused longer?

Think about these possibilities and how your results support or contradict existing theories or studies in the field.

An extra tip: If something unexpected happened—like the AI increased engagement but didn’t improve scores as much as expected—explore why that might be. Perhaps the tool worked better for some students than others.

Step 3: Compare with Existing Literature

Once you’ve interpreted your results, it’s important to see how they line up with what others have found in the field.

  • Contextualize Your Results: Start by placing your findings in context. For example, if your AI program improved test scores by 15%, check out what similar studies have reported. This helps you understand where your results fit within the broader research landscape.
  • Compare Results: See how your findings compare. If previous studies only saw a 10% improvement, your results suggest that the new AI program might be more effective. If your results are quite different, think about why that might be. Did you use a different approach or have unique study conditions?
  • Highlight Contributions: Talk about how your findings add to what’s already known. Do your results back up or challenge existing theories? By comparing your work to other research, you’re showing how your study contributes to the bigger picture.

This step helps you place your findings in context and shows that your work adds something valuable to the field.

Step 4: Discuss Potential Limitations

Is there something that went wrong? Something else that you wish you had included?

It’s fine, no experiment is flawless, and it’s important to be upfront about any limitations in your study when writing a discussion lab report. This just shows that you understand the scope of your work and where there might be room for improvement.

If your study on the AI program for online learning was conducted with a relatively small group of students, mention that. A small sample size might mean your results aren’t as widely applicable as you’d like. Similarly, if the study was short-term, it might not capture long-term effects.

Discussing these limitations doesn’t weaken your findings—it actually strengthens your discussion. It shows that you’re aware of the study’s boundaries and where further research might be needed.

Speaking of…

Step 5: Suggest Future Research

The final step in your discussion is to think ahead and suggest areas for future research. This is your chance to point out where your study could be expanded or where new questions might arise. Let’s take a look at the findings we discussed before:

  • Limitations: If your AI program improved test scores but had some limitations, like a small sample size or short duration, it’s worth suggesting that future research could involve a bigger, longer study. This would help confirm your findings and give more solid data.
  • Surprise findings: If you noticed that the AI tool seemed to work better for some students than others, future research could dig into why that happened. There might be a chance to tweak the program to make it work better for a wider range of students.
  • Opportunities: You could also suggest testing the AI program in different settings or with other subjects to see how it holds up. This could give more insights and help improve the technology.

By suggesting these future research areas, you’re helping to push the field forward and guiding where future studies might go.

If you need assistance crafting a thoughtful discussion, you can rely on EssayPro's discussion writer service to guide you through the process.

Need Help Writing Your Essay or Lab Report?

Whether it’s an essay or a lab report discussion, our experts are here to assist. Let us help you craft top-quality academic work.

Tips for Writing the Discussion Lab Report: Do's and Don'ts

When it comes to writing the discussion section of a lab report, knowing what to include and what to steer clear of can make a big difference.

Here’s a guide to help you get it right:

Do's Don'ts
✅ Talk about your completed research using the past tense. For instance, say, " " ❌ Skip the dull summary. Instead of, " " explain what makes your findings interesting and relevant.
✅ Make sure your discussion loops back to what you introduced at the start. If you started with a problem, show how your results tackle that. ❌ Don’t just focus on theory. Avoid saying, " "
✅ Suggest what to do next based on your findings. For example, " " ❌ Instead, summarize the key points directly in your text, like, " "
✅ Talk about any hiccups you encountered, like, " " ❌ Avoid discussions that don’t connect back to your initial research questions: " "

Lab Report Discussion Example

Let's now take a look at a practical example of a discussion section from a lab report to illustrate how you can effectively craft your own:

Whether your results matched your hypothesis or threw you a curveball, the discussion in a lab report is where you make sense of it all. You'll interpret your findings, compare them with existing research, discuss any limitations, and suggest ideas for future studies.

And if you’re still wondering, “How do I write my lab report ?”, check out EssayPro’s lab report writing service for expert help.

How to Write a Discussion in a Lab Report?

How do you start a discussion sentence in a lab report, what should be included in a lab report discussion.

Adam Jason

is an expert in nursing and healthcare, with a strong background in history, law, and literature. Holding advanced degrees in nursing and public health, his analytical approach and comprehensive knowledge help students navigate complex topics. On EssayPro blog, Adam provides insightful articles on everything from historical analysis to the intricacies of healthcare policies. In his downtime, he enjoys historical documentaries and volunteering at local clinics.

how to write the results and discussion section of a research paper

Adapted from the University of Toronto Writing Advice. (n.d.). Retrieved August 12, 2024, from https://advice.writing.utoronto.ca/types-of-writing/lab-report/

How to Write a Geography Essay

The Impact Mechanism and Effect Evaluation of Digital Economy Development on Regional Carbon Emission Reduction: Evidence from Provincial Panel Data in China

  • Research paper
  • Published: 20 August 2024
  • Volume 18 , article number  99 , ( 2024 )

Cite this article

how to write the results and discussion section of a research paper

  • Chuang Li 1 ,
  • Qin Zhao 2 &
  • Liping Wang   ORCID: orcid.org/0000-0001-6258-6818 3  

In the era of digitalization and under the context of "dual carbon", The green attributes of the digital economy have attracted attention, and it is worth exploring whether it can reduce carbon emissions. This paper uses inter-provincial data from 2011 to 2021 to examine whether the digital economy will play a positive role in carbon reduction. The findings are as follows: (1) There is a significant negative effect of digital economy development level on carbon emission intensity. (2) In the mediation test section, it is verified that the digital economy can reduce carbon emission intensity by optimizing the industrial structure, promoting the transformation of the energy consumption structure, improving green technology innovation, and optimizing the allocation of resources. (3) The article includes government intervention and human capital as moderating variables, and the results show that Human capital has a positive moderating effect between digital economy and carbon emission intensity, while government intervention has a negative moderating effect. (4) Digital economy has threshold effect on carbon emission intensity. (5) The influence of digital economy on carbon emission intensity shows a heterogeneous relationship between regions and factor endowments. The carbon emission reduction of digital economy in western and northeastern regions is more significant, and the abundance or scarcity of capital, labor and technology factors have different impacts on the carbon emission reduction effect of digital economy. At the same time, it further analyzes the influence of the difference of local government behavior. This paper argues that provinces and cities should strengthen the construction of digital economy, and at the same time should promote the coordinated development of digital economy among regions, which is important to achieve carbon emission reduction.

Article Highlights

The impact of the lnDE on lnCEI in 30 provinces and cities from 2011–2021 was studied.

The mediating, threshold, and moderating effects were investigated.

The lnDE can significantly reduce the lnCEI.

Gov and lnHumc can positively moderate the impact of on lnCEI.

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

Access this article

Subscribe and save.

  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

how to write the results and discussion section of a research paper

Explore related subjects

  • Artificial Intelligence

Data Availability

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

Abrell J, Kosch M, Rausch S (2022) How effective is carbon pricing?—a machine learning approach to policy evaluation. J Environ Econ Manag 112:102589

Article   Google Scholar  

Ahmadova G, Delgado-Márquez BL, Pedauga LE et al (2022) Too good to be true: the inverted U-shaped relationship between Home-Country digitalization and environmental performance. Ecol Econ 196:107393

Ahmed F, Naeem M, Iqbal M (2016) ICT and renewable energy: a way forward to the next generation telecom base stations. Telecommun Syst 64(1):43–56

Ahmed Z, Asghar MM, Malik MN et al (2020) Moving towards a sustainable environment: the dynamic linkage between natural resources, human capital, urbanization, economic growth, and ecological footprint in China. Resour Policy 67:101677

Amri F, Zaied YB, Lahouel BB (2019) ICT, total factor productivity, and carbon dioxide emissions in Tunisia. Technol Forecast Soc 146:212–217

Azam A, Rafiq M, Shafique M et al (2021) An empirical analysis of the non-linear effects of natural gas, nuclear energy, renewable energy and ICT-Trade in leading CO 2 emitter countries: policy towards CO 2 mitigation and economic sustainability. J Environ Manage 286:112232

Article   CAS   Google Scholar  

Bai JH, Liu YY (2018) Can Outward foreign direct investment improve the resource misallocation of China. China Industrial Econ 1:60–78

Google Scholar  

Bai CQ, Chen ZJ, Wang DP (2023) Transportation carbon emission reduction potential and mitigation strategy in China. Sci Total Environ 873:162074

Bughin J, Kretschmer T, Van Zeebroeck N (2021) Digital technology adoption drives strategic renewal for successful digital transformation. IEEE Eng Manage Rev 49(3):103–108

Çakar ND, Gedikli A, Erdoğan S et al (2021) Exploring the nexus between human capital and environmental degradation: the case of EU countries. J Environ Manage 295:113057

Chen PY (2022) Is the digital economy driving clean energy development? —new evidence from 276 cities in China. J Clean Prod 372:133783

Chen FZ, Jiang GH, Dong KY (2024) Spatial spillover effects of the digital economy on the green transformation of the manufacturing industry. Chin J Popul Res Environ 34(5):114–125

Chishti MZ, Sinha A, Zaman U et al (2023) Exploring the dynamic connectedness among energy transition and its drivers: understanding the moderating role of global geopolitical risk. Energ Econ 119:106570

Deng H, Li C, Wang LP (2022) The impact of corporate innovation on environmental performance: the moderating effect of financing constraints and government subsidies. Sustainability 14:11530

Ding ZL (2021) The key to achieving carbon neutrality is to build a “Three-Terminal Force” System”. China Petrol Enterp 6:10–11+111

Dong F, Hu M, Gao YJ et al (2022) How does digital economy affect carbon emissions? Evidence from global 60 countries. Sci Total Environ 852:158401

Fan D, Sun XT (2020) Environmental regulation, green technological innovation and green economic growth. Chin J Popul Resour Environ 30(6):105–115

Fang GC, Yang K, Tian LX et al (2022) Can environmental tax promote renewable energy consumption? — an empirical study from the typical countries along the Belt and Road. Energy 260:125193

Ge WF, Xu Y, Liu GL et al (2022) Exploring the impact of the digital economy on carbon emission efficiency under factor misallocation constraints: new insights from China”. Front Env Sci 10:1–16

Goulder LH, Long XL, Lu J et al (2022) China’s unconventional nationwide CO 2 emissions trading system: cost-effectiveness and distributional impacts. J Environ Econ Manage 111:102561

Gowd SC, Ganeshan P, Vigneswaran VS et al (2023) Economic perspectives and policy insights on carbon capture, storage, and utilization for sustainable development. Sci Total Environ 883:163656

Guan YR, Shan YL, Huang Q et al (2021) Assessment to China’s recent emission pattern shifts. Earth’s Future 9(11):e2021EF002241

Guo F, Wang JY, Wang F et al (2020) Measuring China’s digital financial inclusion: index compilation spatial characteristics. Economics 19(04):1401–1418

Guo YL, Jia JS, Li L et al (2024) Spatio-temporal pattern and influencing factors of carbon emissions in the middle reaches of the Yellow River from the perspective of urban shrinkage. Acta Ecol Sin 44(03):903–914

Guo AJ, Zhang CB (2023) How does the digital economy affect the intensity of carbon emissions-Based on the dual perspectives of industrial structure upgrading and rationalization. Sci manag sci technol 1–28

Hao Y, Gai Z, Wu H (2020) How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China. Energ Policy 143:111562

Hao XL, Li YH, Ren SY et al (2023) The role of digitalization on green economic growth: does industrial structure optimization and green innovation matter? J Environ Manage 325:116504

Hong SF, Hui ECM, Lin YY (2022) Relationships between carbon emissions and urban population size and density, based on geo-urban scaling analysis: a multi-carbon source empirical study. Urban Clim 46:101337

Hong JK, Huang H, Wang XZ et al (2024) Structural effects of provincial digital economy on carbon emissions within China: a multi-region input-output based structural decomposition analysis. Sci Total Environ 934:173140

Huo P, Wang LX (2022) Digital economy and business investment efficiency: inhibiting or facilitating? Res Int Bus Financ 63:101797

Jiang W, Sun YF (2023) Which is the more important factor of carbon emission, coal consumption or industrial structure? Energ Policy 176:113508

Kretschmer T, Khashabi P (2020) Digital transformation and organization design: an integrated approach. Calif Manage Rev 62(4):86–104

Li ZG, Wang J (2022a) The dynamic impact of digital economy on carbon emission reduction: evidence city-level empirical data in China. J Clean Prod 351:131570

Li MN, Zhou YB (2022b) Research on human capital structure effect of digital economy development. Resour Econ Manag 43(1):23–38

CAS   Google Scholar  

Li CY, Zhou WS (2024) Can digital economy development contribute to urban carbon emission reduction? – Empirical evidence from China. J Environ Manage 357:120680

Li L, McMurray A, Li XM et al (2021) The diminishing marginal effect of R&D input and carbon emission mitigation. J Clean Prod 282:124423

Li RR, Li LJ, Wang Q (2022c) The impact of energy efficiency on carbon emissions: evidence from the transportation sector in Chinese 30 provinces. Sustain Cities Soc 82:103880

Li C, Xia W, Wang L (2023a) Synergies of green policies and their pollution reduction effects: quantitative analysis of China’s green policy texts. J Clean Prod 412:137360

Li C, Zhang Z, Wang L (2023b) Carbon peak forecast and low carbon policy choice of transportation industry in China: scenario prediction based on STIRPAT model. Environ Sci Pollut R 30(22):63250–63271

Liao ZJ, Zhang JY, Chen SW (2023) Research on carbon emission influencing factors and carbon peak reaching pathways-evidence from Sichuan province. Soft Sci 37(09):95–101

Lin BQ, Ge JM (2019) Valued forest carbon sinks: How much emissions abatement costs could be reduced in China. J Clean Prod 224:455–464

Lin BQ, Ma RY (2022) How does digital finance influence green technology innovation in China? Evidence from the financing constraints perspective. J Environ Manage 320:115833

Liu JH, Zhou K, Zhang Y et al (2022) Digital inclusive finance, enterprise life cycle and technological innovation. Stat Decis 38(19):130–134

Lyu YW, Wang WQ, Wu Y et al (2023) How does digital economy affect green total factor productivity? Evidence from China. Sci Total Environ 857:159428

Ouyang XL, Zhang JH, Du G (2022) Environmental regulation and green technological innovation: impact mechanism analysis and spatial spillover effects. Chin J Manag Sci 30(12):141–151

Ozturk I, Ullah S (2022) Does digital financial inclusion matter for economic growth and environmental sustainability in OBRI economies? An empirical analysis. Resour Conserv Recy 185:106489

Pan WR, Xie T, Wang ZW et al (2022) Digital economy: an innovation driver for total factor productivity. J Bus Res 139(169):303–311

Qu SN, Shi D, Yang DH (2022) Carbon emissions of China’s digital economy: calculations and trend outlook. Chin J Popul Res Environ 32(9):11–21

Ren SY, Hao Y, Xu L et al (2021) Digitalization and energy: how does internet development affect China’s energy consumption? Energ Econ 98:105220

Shahbaz M, Wang JD, Dong KY et al (2022) The impact of digital economy on energy transition across the globe: the mediating role of government governance. Renew Sust Energ Rev 166:112620

Shan HJ (2008) Reestimating the capital stock of China:1952–2006. J Quant Tech Econ 25(10):17–31

Shan YL, Liu JH, Liu Z et al (2016) New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors. Appl Energ 184:742–750

Shan et al (2018) China CO2 emission accounts 1997–2015. Sci Data 5:170201

Shan et al (2020) China CO2 emission accounts 2016–2017. Sci Data 7(1):54

Shi D (2022) Evolution of industrial development trend under digital economy. China Industrial Econ 11:26–42

Shi DQ, Ding H (2018) Can smart city construction reduce environmental pollution. China Industrial Econ 6:117–135

Skare M, de Obesso MDLM, Ribeiro-Navarrete S (2023) Digital transformation and European small and medium enterprises (SMEs): A comparative study using digital economy and society index data. Int J Inf Manage 68:102594

Song ML, Wang SH, Zhang HY (2020) Could environmental regulation and R&D tax incentives affect green product innovation. J Clean Prod 258:120849

Su X, Tan JL (2023) Regional energy transition path and the role of government support and resource endowment in China. Renew Sust Energ Rev 174:113150

Su JQ, Su K, Wang SB (2021) Does the digital economy promote industrial structural upgrading?—a test of mediating effects based on heterogeneous technological innovation. Sustainability 13(18):10105

Tang J, Li YT, Gao Y (2024) Spatial effects of energy system digitization on carbon emissions: evidence from China. Sustainability 16(5):1822

Teng Y, Zheng YH (2023) Research on the impact of digitalization of manufacturing enterprises on corporate carbon emissions-A reexamination of the ‘Jevons Paradox’ from a micro perspective. J Ind Technol Econ 42:48–56

Villanthenkodath MA, Ansari MA, Kumar P et al (2022) Effect of information and communication technology on the environmental sustainability: an empirical assessment for South Africa. Telemat Inform Rep 7:100013

Wang J, Guo D (2023) Siphon and radiation effects of ICT agglomeration on green total factor productivity: evidence from a spatial Durbin model. Energ Econ 126:106953

Wang CJ, Wang F, Zhang XL et al (2017) Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang. Renew Sust Energ Rev 67:51–61

Wang J, Luo X, Zhu J (2022a) Does the digital economy contribute to carbon emissions reduction? A city-level spatial analysis in China. Chin J Popul Resour Environ 20(2):105–114

Wang JD, Wang K, Dong KY et al (2022b) How does the digital economy accelerate global energy justice? Mechanism discussion and empirical test. Energ Econ 114:106315

Wang LP, Long Y, Li C (2022c) Research on the impact mechanism of heterogeneous environmental regulation on enterprise green technology innovation. J Environ Manage 322:116127

Wang LP, Shang YQ, Li C (2023a) How to improve the initiative and effectiveness of enterprises to implement environmental management system certification? J Clean Prod 404:137013

Wang Q, Sun TT, Li RR (2023b) Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects. Energ Environ. https://doi.org/10.1177/0958305X231220520

Wang Y, Zhang YJ, Nie Y et al (2023c) Research on carbon emissions from construction industry based on digital technology: bibliometrics and visual analysis. Industrial Archit 53(S2):32–37

Wang Q, Hu SL, Li RR (2024a) Could information and communication technology(ICT) reduce carbon emissions? The role of trade openness and financial development. Telecommun Policy 48:102699

Wang Q, Sun JY, Pata UK et al (2024b) Digital economy and carbon dioxide emissions: examining the role of threshold variables. Geosci Front 15(3):101644

Wang Q, Zhang FY, Li RR et al (2024c) Does artificial intelligence promote energy transition and curb carbon emissions? The role of trade openness. J Clean Prod 447:141298

Wen ZL, Ye BJ (2014) Analyses of mediating effects: the development of methods and models. Adv Psychol Sci 22(5):731–745

Wu CQ, Deng ML (2023) Impact of digital economy development on industrial carbon productivity in China. China Soft Sci 11:189–200

Wu YN, Al-duais ZAM, Zhu XQ et al (2024) Digital economy’s role in shaping carbon emissions in the construction field: Insights from Chinese cities. J Environ Manage 365:121548

Xiang YT, Cui HT, Bi YX (2023) The impact and channel effects of banking competition and government intervention on carbon emissions: evidence from China. Energ Policy 175:113476

Xu WX, Zhou JP, Liu CJ (2022) The impact of digital economy on urban carbon emissions: based on the analysis of spatial effects. Geogr Res-Aust 41(1):111–129

Yang J, Zhong W (2023) Digital empowerment and carbon reduction in the logistics industry: internal mechanisms and empirical evidence. Statistics Decis 39(20):174–178

Yang Z, Gao WJ, Han Q et al (2022) Digitalization and carbon emissions: how does digital city construction affect China’s carbon emission reduction? Sustain Cities Soc 87:104201

Yi M, Liu YF, Sheng MS et al (2022) Effects of digital economy on carbon emission reduction: new evidence from China. Energ Policy 171:113271

Yu Z, Liu S, Zhu Z (2022) Has the digital economy reduced carbon emissions? Analysis based on panel data of 278 cities in China. Int J Env Res Pub He 19(18):11814

Zafar MW, Zaidi SAH, Khan NR et al (2019) The impact of natural resources, human capital, and foreign direct investment on the ecological footprint: the case of the united states. Resour Policy 63:101428

Zhang YY, Hu SC (2023) Research on the impact of digital inclusive finance on the coordinated development of economy and environment-mediating effects of innovation-driven. Soft Science 37(09):23–30

Zhang ML, Liu Y (2022) Influence of digital finance and green technology innovation on China’s carbon emission efficiency: empirical analysis based on spatial metrology. Sci Total Environ 838:156463

Zhang YH, Wang JT (2020) Can digital economy reduce the factor mismatch of China? Sci Cit Database 35(9):62–71

Zhang LY, Godil DI, Bibi M et al (2021) Caring for the environment: how human capital, natural resources, and economic growth interact with environmental degradation in Pakistan? A dynamic ARDL approach. Sci Total Environ 774:145553

Zhang JN, Lyu YW, Li YT et al (2022a) Digital economy: an innovation driving factor for low-carbon development. Environ Impact Asses 96:106821

Zhang L, Mu RY, Zhan YF et al (2022b) Digital economy, energy efficiency, and carbon emissions: evidence from provincial panel data in China. Sci Total Environ 852:158403

Zhang W, Liu XM, Wang D et al (2022c) Digital economy and carbon emission performance: evidence at China’s city level. Energy Policy 165:112927

Zhang PP, Li X, Yu Y (2023a) Relationship between ecosystem services and farmers’ well-being in the Yellow River wetland nature reserve of China. Ecol Indic 146:109810

Zhang W, Fan H, Zhao Q (2023b) Seeing green: how does digital infrastructure affect carbon emission intensity? Energ Econ 127:107085

Zhao JX, Mattauch L (2022) When standards have better distributional consequences than carbon taxes. J Environ Econ Manag 116:102747

Zhong ZQ, Chen ZL, He LY (2022) Technological innovation, industrial structural change and carbon emission transferring via trade—An agent-based modeling approach. Technovation 110:102350

Zhou KL, Yang JN, Yang T et al (2023) Spatial and temporal evolution characteristics and spillover effects of China’s regional carbon emissions. J Environ Manage 325:116423

Zhu ZC, Liu B, Yu ZX et al (2022) Effects of the digital economy on carbon emissions: evidence from China. Int J Env Res Pub Health 19(15):9450

Download references

National Social Science Fund of China, 23FJYB029, Chuang Li, Innovation Strategy Research Plan Project of Fujian Province, 2023R0050, Chuang Li, Social Science Fund of Fujian Province, FJ2024A005, Liping Wang

Author information

Authors and affiliations.

School of Business Administration, Jimei University, Xiamen, 361021, China

School of Business Administration, Henan Polytechnic University, Jiaozuo, 454000, China

Finance and Economics College, Jimei University, Xiamen, 361021, China

Liping Wang

You can also search for this author in PubMed   Google Scholar

Contributions

Conceptualization, Methodology, Writing – review & editing, Formal analysis, Funding acquisition, Chuang Li; Data curation, Resources, Writing – original draft, Formal analysis, Validation, Qin Zhao; Formal analysis, Supervision, Writing – review & editing, Project administration, Liping Wang.

Corresponding author

Correspondence to Liping Wang .

Ethics declarations

Conflict of interest.

The authors declare that there is no conflict of interests.

Ethical Approval

This study conforms to the ethical and moral requirements.

Consent to Participate

All the authors of this article were consented to participate.

Consent to Publish

This study was consented to be published.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Li, C., Zhao, Q. & Wang, L. The Impact Mechanism and Effect Evaluation of Digital Economy Development on Regional Carbon Emission Reduction: Evidence from Provincial Panel Data in China. Int J Environ Res 18 , 99 (2024). https://doi.org/10.1007/s41742-024-00651-0

Download citation

Received : 27 September 2023

Revised : 26 July 2024

Accepted : 31 July 2024

Published : 20 August 2024

DOI : https://doi.org/10.1007/s41742-024-00651-0

Share this article

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

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

Provided by the Springer Nature SharedIt content-sharing initiative

  • Digital economy
  • Carbon emission intensity
  • Spatial Durbin model
  • Mediating effect
  • Threshold effect
  • Find a journal
  • Publish with us
  • Track your research

COMMENTS

  1. How to Write a Discussion Section

    What not to include in your discussion section. There are a few common mistakes to avoid when writing the discussion section of your paper. Don't introduce new results: You should only discuss the data that you have already reported in your results section. Don't make inflated claims: Avoid overinterpretation and speculation that isn't directly supported by your data.

  2. How to Write a Results Section

    Here are a few best practices: Your results should always be written in the past tense. While the length of this section depends on how much data you collected and analyzed, it should be written as concisely as possible. Only include results that are directly relevant to answering your research questions.

  3. Guide to Writing the Results and Discussion Sections of a ...

    Tips to Write the Results Section. Direct the reader to the research data and explain the meaning of the data. Avoid using a repetitive sentence structure to explain a new set of data. Write and highlight important findings in your results. Use the same order as the subheadings of the methods section.

  4. How to Write the Discussion Section of a Research Paper

    The discussion section provides an analysis and interpretation of the findings, compares them with previous studies, identifies limitations, and suggests future directions for research. This section combines information from the preceding parts of your paper into a coherent story. By this point, the reader already knows why you did your study ...

  5. 6 Steps to Write an Excellent Discussion in Your Manuscript

    1.Introduction—mention gaps in previous research¹⁻². 2. Summarizing key findings—let your data speak¹⁻². 3. Interpreting results—compare with other papers¹⁻². 4. Addressing limitations—their potential impact on the results¹⁻². 5. Implications for future research—how to explore further¹⁻².

  6. How to Write Discussions and Conclusions

    Begin with a clear statement of the principal findings. This will reinforce the main take-away for the reader and set up the rest of the discussion. Explain why the outcomes of your study are important to the reader. Discuss the implications of your findings realistically based on previous literature, highlighting both the strengths and ...

  7. Reporting Research Results in APA Style

    Include these in your results section: Participant flow and recruitment period. Report the number of participants at every stage of the study, as well as the dates when recruitment took place. Missing data. Identify the proportion of data that wasn't included in your final analysis and state the reasons.

  8. 8. The Discussion

    The discussion section is often considered the most important part of your research paper because it: Most effectively demonstrates your ability as a researcher to think critically about an issue, to develop creative solutions to problems based upon a logical synthesis of the findings, and to formulate a deeper, more profound understanding of the research problem under investigation;

  9. Discussion Section Examples and Writing Tips

    Abstract | Introduction | Literature Review | Research question | Materials & Methods | Results | Discussion | Conclusion. In this blog, we look at how to write the discussion section of a research paper. We will go through plenty of discussion examples and understand how to construct a great discussion section for your research paper.

  10. How to Write a Discussion Section for a Research Paper

    Begin the Discussion section by restating your statement of the problem and briefly summarizing the major results. Do not simply repeat your findings. Rather, try to create a concise statement of the main results that directly answer the central research question that you stated in the Introduction section.

  11. Research Results Section

    Discussion of results: This section should provide an interpretation of the results of the study, including a discussion of any unexpected findings. The discussion should also address the study's research questions and explain how the results contribute to the field of study. ... How to Write Results in A Research Paper. Here are some general ...

  12. Research Guides: Writing a Scientific Paper: RESULTS

    Present the results of the paper, in logical order, using tables and graphs as necessary. Explain the results and show how they help to answer the research questions posed in the Introduction. Evidence does not explain itself; the results must be presented and then explained. Avoid: presenting results that are never discussed; presenting ...

  13. PDF 7th Edition Discussion Phrases Guide

    Discussion Phrases Guide. Papers usually end with a concluding section, often called the "Discussion.". The Discussion is your opportunity to evaluate and interpret the results of your study or paper, draw inferences and conclusions from it, and communicate its contributions to science and/or society. Use the present tense when writing the ...

  14. How to Write a Results and Discussion Section in Research Paper

    Below are helpful tips for writing the results and discussion section of a research paper: Please don't repeat the results in the discussion; start with repeating the research questions and explain how the results answer them. Start from the simple results to the complex; you can even start with the conclusion first, but ensure it is ...

  15. PDF Discussion Section for Research Papers

    The discussion section is one of the final parts of a research paper, in which an author describes, analyzes, and interprets their findings. They explain the significance of those results and tie everything back to the research question(s). In this handout, you will find a description of what a discussion section does, explanations of how to ...

  16. Research Guides: Writing a Scientific Paper: DISCUSSION

    Papers that are submitted to a journal for publication are sent out to several scientists (peers) who look carefully at the paper to see if it is "good science". These reviewers then recommend to the editor of a journal whether or not a paper should be published. Most journals have publication guidelines. Ask for them and follow them exactly.

  17. How to write the results section of a research paper

    Practical guidance for writing an effective results section for a research paper. Always use simple and clear language. Avoid the use of uncertain or out-of-focus expressions. The findings of the study must be expressed in an objective and unbiased manner. While it is acceptable to correlate certain findings in the discussion section, it is ...

  18. PDF Results Section for Research Papers

    The results section of a research paper tells the reader what you found, while the discussion section tells the reader what your findings mean. The results section should present the facts in an academic and unbiased manner, avoiding any attempt at analyzing or interpreting the data. Think of the results section as setting the stage for the ...

  19. How to Write the Results Section of a Research Paper

    Build coherence along this section using goal statements and explicit reasoning (guide the reader through your reasoning, including sentences of this type: 'In order to…, we performed….'; 'In view of this result, we ….', etc.). In summary, the general steps for writing the Results section of a research article are:

  20. How to Write an Effective Discussion in a Research Paper; a Guide to

    Explaining the meaning of the results to the reader is the purpose of the discussion section of a research paper. There are elements of the discussion that should be included and other things that ...

  21. Academic Phrases for Writing Results & Discussion Sections of a

    The results and discussion sections are one of the challenging sections to write. It is important to plan this section carefully as it may contain a large amount of scientific data that needs to be presented in a clear and concise fashion. The purpose of a Results section is to present the key results of your research.

  22. How to Write a Discussion Section

    What not to include in your discussion section. There are a few common mistakes to avoid when writing the discussion section of your paper. Don't introduce new results: You should only discuss the data that you have already reported in your results section. Don't make inflated claims: Avoid overinterpretation and speculation that isn't directly supported by your data.

  23. Journal Article: Discussion : Broad Institute of MIT and Harvard

    A strong Discussion section: Tells the main conclusion of the paper in one or two sentences. Tells how the paper's results contribute to answering the big questions posed in the Introduction. Explains how (and why) this work agrees or disagrees with other, similar work. Explains how the limitations of this study leave the big questions ...

  24. Q: How to write the Discussion section in a qualitative paper?

    For a qualitative paper, although there is no need for statistical analysis of data, there is still a need to interpret the results for your audience in the Discussion section. Here's how you should write this section: 1. Begin by discussing the research question and talking about whether it was answered in the research paper based on the ...

  25. How to Write a Discussion for a Lab Report

    Learn how to write a discussion for a lab report brand that effectively interprets your results. Follow this step-by-step guide to make your lab report stand out. ... A lab report discussion section is where you thoroughly explain what your experiment's results really mean. This is where you connect the dots between your report findings and the ...

  26. The Impact Mechanism and Effect Evaluation of Digital ...

    The empirical results and discussion of this paper are given in the fifth section. ... Figure 3 shows the frame diagram of the research hypothesis section. Fig. 3. Impact mechanism of digital economy on carbon emissions. ... This result is expected to be consistent with the results of the paper, which indicates that the digital economy can ...