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Research Results Section – Writing Guide and Examples

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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

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to Write the Results/Findings Section in Research

What is the research paper Results section and what does it do?

The Results section of a scientific research paper represents the core findings of a study derived from the methods applied to gather and analyze information. It presents these findings in a logical sequence without bias or interpretation from the author, setting up the reader for later interpretation and evaluation in the Discussion section. A major purpose of the Results section is to break down the data into sentences that show its significance to the research question(s).

The Results section appears third in the section sequence in most scientific papers. It follows the presentation of the Methods and Materials and is presented before the Discussion section —although the Results and Discussion are presented together in many journals. This section answers the basic question “What did you find in your research?”

What is included in the Results section?

The Results section should include the findings of your study and ONLY the findings of your study. The findings include:

• Data presented in tables, charts, graphs, and other figures (may be placed into the text or on separate pages at the end of the manuscript)
• A contextual analysis of this data explaining its meaning in sentence form
• All data that corresponds to the central research question(s)
• All secondary findings (secondary outcomes, subgroup analyses, etc.)

If the scope of the study is broad, or if you studied a variety of variables, or if the methodology used yields a wide range of different results, the author should present only those results that are most relevant to the research question stated in the Introduction section .

As a general rule, any information that does not present the direct findings or outcome of the study should be left out of this section. Unless the journal requests that authors combine the Results and Discussion sections, explanations and interpretations should be omitted from the Results.

How are the results organized?

The best way to organize your Results section is “logically.” One logical and clear method of organizing research results is to provide them alongside the research questions—within each research question, present the type of data that addresses that research question.

Let’s look at an example. Your research question is based on a survey among patients who were treated at a hospital and received postoperative care. Let’s say your first research question is:

“What do hospital patients over age 55 think about postoperative care?”

This can actually be represented as a heading within your Results section, though it might be presented as a statement rather than a question:

Attitudes towards postoperative care in patients over the age of 55

Now present the results that address this specific research question first. In this case, perhaps a table illustrating data from a survey. Likert items can be included in this example. Tables can also present standard deviations, probabilities, correlation matrices, etc.

Following this, present a content analysis, in words, of one end of the spectrum of the survey or data table. In our example case, start with the POSITIVE survey responses regarding postoperative care, using descriptive phrases. For example:

“Sixty-five percent of patients over 55 responded positively to the question “ Are you satisfied with your hospital’s postoperative care ?” (Fig. 2)

Include other results such as subcategory analyses. The amount of textual description used will depend on how much interpretation of tables and figures is necessary and how many examples the reader needs in order to understand the significance of your research findings.

Next, present a content analysis of another part of the spectrum of the same research question, perhaps the NEGATIVE or NEUTRAL responses to the survey. For instance:

  “As Figure 1 shows, 15 out of 60 patients in Group A responded negatively to Question 2.”

After you have assessed the data in one figure and explained it sufficiently, move on to your next research question. For example:

  “How does patient satisfaction correspond to in-hospital improvements made to postoperative care?”

This kind of data may be presented through a figure or set of figures (for instance, a paired T-test table).

Explain the data you present, here in a table, with a concise content analysis:

“The p-value for the comparison between the before and after groups of patients was .03% (Fig. 2), indicating that the greater the dissatisfaction among patients, the more frequent the improvements that were made to postoperative care.”

Let’s examine another example of a Results section from a study on plant tolerance to heavy metal stress . In the Introduction section, the aims of the study are presented as “determining the physiological and morphological responses of Allium cepa L. towards increased cadmium toxicity” and “evaluating its potential to accumulate the metal and its associated environmental consequences.” The Results section presents data showing how these aims are achieved in tables alongside a content analysis, beginning with an overview of the findings:

“Cadmium caused inhibition of root and leave elongation, with increasing effects at higher exposure doses (Fig. 1a-c).”

The figure containing this data is cited in parentheses. Note that this author has combined three graphs into one single figure. Separating the data into separate graphs focusing on specific aspects makes it easier for the reader to assess the findings, and consolidating this information into one figure saves space and makes it easy to locate the most relevant results.

Following this overall summary, the relevant data in the tables is broken down into greater detail in text form in the Results section.

• “Results on the bio-accumulation of cadmium were found to be the highest (17.5 mg kgG1) in the bulb, when the concentration of cadmium in the solution was 1×10G2 M and lowest (0.11 mg kgG1) in the leaves when the concentration was 1×10G3 M.”

Captioning and Referencing Tables and Figures

Tables and figures are central components of your Results section and you need to carefully think about the most effective way to use graphs and tables to present your findings . Therefore, it is crucial to know how to write strong figure captions and to refer to them within the text of the Results section.

The most important advice one can give here as well as throughout the paper is to check the requirements and standards of the journal to which you are submitting your work. Every journal has its own design and layout standards, which you can find in the author instructions on the target journal’s website. Perusing a journal’s published articles will also give you an idea of the proper number, size, and complexity of your figures.

Regardless of which format you use, the figures should be placed in the order they are referenced in the Results section and be as clear and easy to understand as possible. If there are multiple variables being considered (within one or more research questions), it can be a good idea to split these up into separate figures. Subsequently, these can be referenced and analyzed under separate headings and paragraphs in the text.

To create a caption, consider the research question being asked and change it into a phrase. For instance, if one question is “Which color did participants choose?”, the caption might be “Color choice by participant group.” Or in our last research paper example, where the question was “What is the concentration of cadmium in different parts of the onion after 14 days?” the caption reads:

 “Fig. 1(a-c): Mean concentration of Cd determined in (a) bulbs, (b) leaves, and (c) roots of onions after a 14-day period.”

Steps for Composing the Results Section

Because each study is unique, there is no one-size-fits-all approach when it comes to designing a strategy for structuring and writing the section of a research paper where findings are presented. The content and layout of this section will be determined by the specific area of research, the design of the study and its particular methodologies, and the guidelines of the target journal and its editors. However, the following steps can be used to compose the results of most scientific research studies and are essential for researchers who are new to preparing a manuscript for publication or who need a reminder of how to construct the Results section.

Step 1 : Consult the guidelines or instructions that the target journal or publisher provides authors and read research papers it has published, especially those with similar topics, methods, or results to your study.

• The guidelines will generally outline specific requirements for the results or findings section, and the published articles will provide sound examples of successful approaches.
• Note length limitations on restrictions on content. For instance, while many journals require the Results and Discussion sections to be separate, others do not—qualitative research papers often include results and interpretations in the same section (“Results and Discussion”).
• Reading the aims and scope in the journal’s “ guide for authors ” section and understanding the interests of its readers will be invaluable in preparing to write the Results section.

Step 2 : Consider your research results in relation to the journal’s requirements and catalogue your results.

• Focus on experimental results and other findings that are especially relevant to your research questions and objectives and include them even if they are unexpected or do not support your ideas and hypotheses.
• Catalogue your findings—use subheadings to streamline and clarify your report. This will help you avoid excessive and peripheral details as you write and also help your reader understand and remember your findings. Create appendices that might interest specialists but prove too long or distracting for other readers.
• Decide how you will structure of your results. You might match the order of the research questions and hypotheses to your results, or you could arrange them according to the order presented in the Methods section. A chronological order or even a hierarchy of importance or meaningful grouping of main themes or categories might prove effective. Consider your audience, evidence, and most importantly, the objectives of your research when choosing a structure for presenting your findings.

Step 3 : Design figures and tables to present and illustrate your data.

• Tables and figures should be numbered according to the order in which they are mentioned in the main text of the paper.
• Information in figures should be relatively self-explanatory (with the aid of captions), and their design should include all definitions and other information necessary for readers to understand the findings without reading all of the text.
• Use tables and figures as a focal point to tell a clear and informative story about your research and avoid repeating information. But remember that while figures clarify and enhance the text, they cannot replace it.

Step 4 : Draft your Results section using the findings and figures you have organized.

• The goal is to communicate this complex information as clearly and precisely as possible; precise and compact phrases and sentences are most effective.
• In the opening paragraph of this section, restate your research questions or aims to focus the reader’s attention to what the results are trying to show. It is also a good idea to summarize key findings at the end of this section to create a logical transition to the interpretation and discussion that follows.
• Try to write in the past tense and the active voice to relay the findings since the research has already been done and the agent is usually clear. This will ensure that your explanations are also clear and logical.
• Make sure that any specialized terminology or abbreviation you have used here has been defined and clarified in the  Introduction section .

Step 5 : Review your draft; edit and revise until it reports results exactly as you would like to have them reported to your readers.

• Double-check the accuracy and consistency of all the data, as well as all of the visual elements included.
• Read your draft aloud to catch language errors (grammar, spelling, and mechanics), awkward phrases, and missing transitions.
• Ensure that your results are presented in the best order to focus on objectives and prepare readers for interpretations, valuations, and recommendations in the Discussion section . Look back over the paper’s Introduction and background while anticipating the Discussion and Conclusion sections to ensure that the presentation of your results is consistent and effective.
• Consider seeking additional guidance on your paper. Find additional readers to look over your Results section and see if it can be improved in any way. Peers, professors, or qualified experts can provide valuable insights.

One excellent option is to use a professional English proofreading and editing service  such as Wordvice, including our paper editing service . With hundreds of qualified editors from dozens of scientific fields, Wordvice has helped thousands of authors revise their manuscripts and get accepted into their target journals. Read more about the  proofreading and editing process  before proceeding with getting academic editing services and manuscript editing services for your manuscript.

As the representation of your study’s data output, the Results section presents the core information in your research paper. By writing with clarity and conciseness and by highlighting and explaining the crucial findings of their study, authors increase the impact and effectiveness of their research manuscripts.

For more articles and videos on writing your research manuscript, visit Wordvice’s Resources page.

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How to write the results section of a research paper

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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.

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• How to Write Discussions and Conclusions

The discussion section contains the results and outcomes of a study. An effective discussion informs readers what can be learned from your experiment and provides context for the results.

What makes an effective discussion?

When you’re ready to write your discussion, you’ve already introduced the purpose of your study and provided an in-depth description of the methodology. The discussion informs readers about the larger implications of your study based on the results. Highlighting these implications while not overstating the findings can be challenging, especially when you’re submitting to a journal that selects articles based on novelty or potential impact. Regardless of what journal you are submitting to, the discussion section always serves the same purpose: concluding what your study results actually mean.

A successful discussion section puts your findings in context. It should include:

• the results of your research,
• a discussion of related research, and
• a comparison between your results and initial hypothesis.

Tip: Not all journals share the same naming conventions.

You can apply the advice in this article to the conclusion, results or discussion sections of your manuscript.

Our Early Career Researcher community tells us that the conclusion is often considered the most difficult aspect of a manuscript to write. To help, this guide provides questions to ask yourself, a basic structure to model your discussion off of and examples from published manuscripts. 

Questions to ask yourself:

• Was my hypothesis correct?
• If my hypothesis is partially correct or entirely different, what can be learned from the results? 
• How do the conclusions reshape or add onto the existing knowledge in the field? What does previous research say about the topic? 
• Why are the results important or relevant to your audience? Do they add further evidence to a scientific consensus or disprove prior studies? 
• How can future research build on these observations? What are the key experiments that must be done? 
• What is the “take-home” message you want your reader to leave with?

How to structure a discussion

Trying to fit a complete discussion into a single paragraph can add unnecessary stress to the writing process. If possible, you’ll want to give yourself two or three paragraphs to give the reader a comprehensive understanding of your study as a whole. Here’s one way to structure an effective discussion:

Writing Tips

While the above sections can help you brainstorm and structure your discussion, there are many common mistakes that writers revert to when having difficulties with their paper. Writing a discussion can be a delicate balance between summarizing your results, providing proper context for your research and avoiding introducing new information. Remember that your paper should be both confident and honest about the results! 

• Read the journal’s guidelines on the discussion and conclusion sections. If possible, learn about the guidelines before writing the discussion to ensure you’re writing to meet their expectations. 
• 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 limitations of the research. 
• State whether the results prove or disprove your hypothesis. If your hypothesis was disproved, what might be the reasons? 
• Introduce new or expanded ways to think about the research question. Indicate what next steps can be taken to further pursue any unresolved questions. 
• If dealing with a contemporary or ongoing problem, such as climate change, discuss possible consequences if the problem is avoided. 
• Be concise. Adding unnecessary detail can distract from the main findings. 

Don’t

• Rewrite your abstract. Statements with “we investigated” or “we studied” generally do not belong in the discussion. 
• Include new arguments or evidence not previously discussed. Necessary information and evidence should be introduced in the main body of the paper. 
• Apologize. Even if your research contains significant limitations, don’t undermine your authority by including statements that doubt your methodology or execution. 
• Shy away from speaking on limitations or negative results. Including limitations and negative results will give readers a complete understanding of the presented research. Potential limitations include sources of potential bias, threats to internal or external validity, barriers to implementing an intervention and other issues inherent to the study design. 
• Overstate the importance of your findings. Making grand statements about how a study will fully resolve large questions can lead readers to doubt the success of the research. 

Snippets of Effective Discussions:

Consumer-based actions to reduce plastic pollution in rivers: A multi-criteria decision analysis approach

Identifying reliable indicators of fitness in polar bears

• How to Write a Great Title
• How to Write an Abstract
• How to Write Your Methods
• How to Report Statistics
• How to Edit Your Work

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The contents of the Writing Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

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How To Write The Results/Findings Chapter

For quantitative studies (dissertations & theses).

By: Derek Jansen (MBA). Expert Reviewed By: Kerryn Warren (PhD) | July 2021

So, you’ve completed your quantitative data analysis and it’s time to report on your findings. But where do you start? In this post, we’ll walk you through the results chapter (also called the findings or analysis chapter), step by step, so that you can craft this section of your dissertation or thesis with confidence. If you’re looking for information regarding the results chapter for qualitative studies, you can find that here .

Overview: Quantitative Results Chapter

• What exactly the results/findings/analysis chapter is
• What you need to include in your results chapter
• How to structure your results chapter
• A few tips and tricks for writing top-notch chapter

What exactly is the results chapter?

The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you’ve found in terms of the quantitative data you’ve collected. It presents the data using a clear text narrative, supported by tables, graphs and charts. In doing so, it also highlights any potential issues (such as outliers or unusual findings) you’ve come across.

But how’s that different from the discussion chapter?

Well, in the results chapter, you only present your statistical findings. Only the numbers, so to speak – no more, no less. Contrasted to this, in the discussion chapter , you interpret your findings and link them to prior research (i.e. your literature review), as well as your research objectives and research questions . In other words, the results chapter presents and describes the data, while the discussion chapter interprets the data.

Let’s look at an example.

In your results chapter, you may have a plot that shows how respondents to a survey  responded: the numbers of respondents per category, for instance. You may also state whether this supports a hypothesis by using a p-value from a statistical test. But it is only in the discussion chapter where you will say why this is relevant or how it compares with the literature or the broader picture. So, in your results chapter, make sure that you don’t present anything other than the hard facts – this is not the place for subjectivity.

It’s worth mentioning that some universities prefer you to combine the results and discussion chapters. Even so, it is good practice to separate the results and discussion elements within the chapter, as this ensures your findings are fully described. Typically, though, the results and discussion chapters are split up in quantitative studies. If you’re unsure, chat with your research supervisor or chair to find out what their preference is.

What should you include in the results chapter?

Following your analysis, it’s likely you’ll have far more data than are necessary to include in your chapter. In all likelihood, you’ll have a mountain of SPSS or R output data, and it’s your job to decide what’s most relevant. You’ll need to cut through the noise and focus on the data that matters.

This doesn’t mean that those analyses were a waste of time – on the contrary, those analyses ensure that you have a good understanding of your dataset and how to interpret it. However, that doesn’t mean your reader or examiner needs to see the 165 histograms you created! Relevance is key.

How do I decide what’s relevant?

At this point, it can be difficult to strike a balance between what is and isn’t important. But the most important thing is to ensure your results reflect and align with the purpose of your study .  So, you need to revisit your research aims, objectives and research questions and use these as a litmus test for relevance. Make sure that you refer back to these constantly when writing up your chapter so that you stay on track.

As a general guide, your results chapter will typically include the following:

• Some demographic data about your sample
• Reliability tests (if you used measurement scales)
• Descriptive statistics
• Inferential statistics (if your research objectives and questions require these)
• Hypothesis tests (again, if your research objectives and questions require these)

We’ll discuss each of these points in more detail in the next section.

Importantly, your results chapter needs to lay the foundation for your discussion chapter . This means that, in your results chapter, you need to include all the data that you will use as the basis for your interpretation in the discussion chapter.

For example, if you plan to highlight the strong relationship between Variable X and Variable Y in your discussion chapter, you need to present the respective analysis in your results chapter – perhaps a correlation or regression analysis.

Need a helping hand?

How do I write the results chapter?

There are multiple steps involved in writing up the results chapter for your quantitative research. The exact number of steps applicable to you will vary from study to study and will depend on the nature of the research aims, objectives and research questions . However, we’ll outline the generic steps below.

Step 1 – Revisit your research questions

The first step in writing your results chapter is to revisit your research objectives and research questions . These will be (or at least, should be!) the driving force behind your results and discussion chapters, so you need to review them and then ask yourself which statistical analyses and tests (from your mountain of data) would specifically help you address these . For each research objective and research question, list the specific piece (or pieces) of analysis that address it.

At this stage, it’s also useful to think about the key points that you want to raise in your discussion chapter and note these down so that you have a clear reminder of which data points and analyses you want to highlight in the results chapter. Again, list your points and then list the specific piece of analysis that addresses each point. 

Next, you should draw up a rough outline of how you plan to structure your chapter . Which analyses and statistical tests will you present and in what order? We’ll discuss the “standard structure” in more detail later, but it’s worth mentioning now that it’s always useful to draw up a rough outline before you start writing (this advice applies to any chapter).

Step 2 – Craft an overview introduction

As with all chapters in your dissertation or thesis, you should start your quantitative results chapter by providing a brief overview of what you’ll do in the chapter and why . For example, you’d explain that you will start by presenting demographic data to understand the representativeness of the sample, before moving onto X, Y and Z.

This section shouldn’t be lengthy – a paragraph or two maximum. Also, it’s a good idea to weave the research questions into this section so that there’s a golden thread that runs through the document.

Step 3 – Present the sample demographic data

The first set of data that you’ll present is an overview of the sample demographics – in other words, the demographics of your respondents.

For example:

• What age range are they?
• How is gender distributed?
• How is ethnicity distributed?
• What areas do the participants live in?

The purpose of this is to assess how representative the sample is of the broader population. This is important for the sake of the generalisability of the results. If your sample is not representative of the population, you will not be able to generalise your findings. This is not necessarily the end of the world, but it is a limitation you’ll need to acknowledge.

Of course, to make this representativeness assessment, you’ll need to have a clear view of the demographics of the population. So, make sure that you design your survey to capture the correct demographic information that you will compare your sample to.

But what if I’m not interested in generalisability?

Well, even if your purpose is not necessarily to extrapolate your findings to the broader population, understanding your sample will allow you to interpret your findings appropriately, considering who responded. In other words, it will help you contextualise your findings . For example, if 80% of your sample was aged over 65, this may be a significant contextual factor to consider when interpreting the data. Therefore, it’s important to understand and present the demographic data.

 Step 4 – Review composite measures and the data “shape”.

Before you undertake any statistical analysis, you’ll need to do some checks to ensure that your data are suitable for the analysis methods and techniques you plan to use. If you try to analyse data that doesn’t meet the assumptions of a specific statistical technique, your results will be largely meaningless. Therefore, you may need to show that the methods and techniques you’ll use are “allowed”.

Most commonly, there are two areas you need to pay attention to:

#1: Composite measures

The first is when you have multiple scale-based measures that combine to capture one construct – this is called a composite measure .  For example, you may have four Likert scale-based measures that (should) all measure the same thing, but in different ways. In other words, in a survey, these four scales should all receive similar ratings. This is called “ internal consistency ”.

Internal consistency is not guaranteed though (especially if you developed the measures yourself), so you need to assess the reliability of each composite measure using a test. Typically, Cronbach’s Alpha is a common test used to assess internal consistency – i.e., to show that the items you’re combining are more or less saying the same thing. A high alpha score means that your measure is internally consistent. A low alpha score means you may need to consider scrapping one or more of the measures.

#2: Data shape

The second matter that you should address early on in your results chapter is data shape. In other words, you need to assess whether the data in your set are symmetrical (i.e. normally distributed) or not, as this will directly impact what type of analyses you can use. For many common inferential tests such as T-tests or ANOVAs (we’ll discuss these a bit later), your data needs to be normally distributed. If it’s not, you’ll need to adjust your strategy and use alternative tests.

To assess the shape of the data, you’ll usually assess a variety of descriptive statistics (such as the mean, median and skewness), which is what we’ll look at next.

Step 5 – Present the descriptive statistics

Now that you’ve laid the foundation by discussing the representativeness of your sample, as well as the reliability of your measures and the shape of your data, you can get started with the actual statistical analysis. The first step is to present the descriptive statistics for your variables.

For scaled data, this usually includes statistics such as:

• The mean – this is simply the mathematical average of a range of numbers.
• The median – this is the midpoint in a range of numbers when the numbers are arranged in order.
• The mode – this is the most commonly repeated number in the data set.
• Standard deviation – this metric indicates how dispersed a range of numbers is. In other words, how close all the numbers are to the mean (the average).
• Skewness – this indicates how symmetrical a range of numbers is. In other words, do they tend to cluster into a smooth bell curve shape in the middle of the graph (this is called a normal or parametric distribution), or do they lean to the left or right (this is called a non-normal or non-parametric distribution).
• Kurtosis – this metric indicates whether the data are heavily or lightly-tailed, relative to the normal distribution. In other words, how peaked or flat the distribution is.

A large table that indicates all the above for multiple variables can be a very effective way to present your data economically. You can also use colour coding to help make the data more easily digestible.

For categorical data, where you show the percentage of people who chose or fit into a category, for instance, you can either just plain describe the percentages or numbers of people who responded to something or use graphs and charts (such as bar graphs and pie charts) to present your data in this section of the chapter.

When using figures, make sure that you label them simply and clearly , so that your reader can easily understand them. There’s nothing more frustrating than a graph that’s missing axis labels! Keep in mind that although you’ll be presenting charts and graphs, your text content needs to present a clear narrative that can stand on its own. In other words, don’t rely purely on your figures and tables to convey your key points: highlight the crucial trends and values in the text. Figures and tables should complement the writing, not carry it .

Depending on your research aims, objectives and research questions, you may stop your analysis at this point (i.e. descriptive statistics). However, if your study requires inferential statistics, then it’s time to deep dive into those .

Step 6 – Present the inferential statistics

Inferential statistics are used to make generalisations about a population , whereas descriptive statistics focus purely on the sample . Inferential statistical techniques, broadly speaking, can be broken down into two groups .

First, there are those that compare measurements between groups , such as t-tests (which measure differences between two groups) and ANOVAs (which measure differences between multiple groups). Second, there are techniques that assess the relationships between variables , such as correlation analysis and regression analysis. Within each of these, some tests can be used for normally distributed (parametric) data and some tests are designed specifically for use on non-parametric data.

There are a seemingly endless number of tests that you can use to crunch your data, so it’s easy to run down a rabbit hole and end up with piles of test data. Ultimately, the most important thing is to make sure that you adopt the tests and techniques that allow you to achieve your research objectives and answer your research questions .

In this section of the results chapter, you should try to make use of figures and visual components as effectively as possible. For example, if you present a correlation table, use colour coding to highlight the significance of the correlation values, or scatterplots to visually demonstrate what the trend is. The easier you make it for your reader to digest your findings, the more effectively you’ll be able to make your arguments in the next chapter.

Step 7 – Test your hypotheses

If your study requires it, the next stage is hypothesis testing. A hypothesis is a statement , often indicating a difference between groups or relationship between variables, that can be supported or rejected by a statistical test. However, not all studies will involve hypotheses (again, it depends on the research objectives), so don’t feel like you “must” present and test hypotheses just because you’re undertaking quantitative research.

The basic process for hypothesis testing is as follows:

• Specify your null hypothesis (for example, “The chemical psilocybin has no effect on time perception).
• Specify your alternative hypothesis (e.g., “The chemical psilocybin has an effect on time perception)
• Set your significance level (this is usually 0.05)
• Calculate your statistics and find your p-value (e.g., p=0.01)
• Draw your conclusions (e.g., “The chemical psilocybin does have an effect on time perception”)

Finally, if the aim of your study is to develop and test a conceptual framework , this is the time to present it, following the testing of your hypotheses. While you don’t need to develop or discuss these findings further in the results chapter, indicating whether the tests (and their p-values) support or reject the hypotheses is crucial.

Step 8 – Provide a chapter summary

To wrap up your results chapter and transition to the discussion chapter, you should provide a brief summary of the key findings . “Brief” is the keyword here – much like the chapter introduction, this shouldn’t be lengthy – a paragraph or two maximum. Highlight the findings most relevant to your research objectives and research questions, and wrap it up.

Some final thoughts, tips and tricks

Now that you’ve got the essentials down, here are a few tips and tricks to make your quantitative results chapter shine:

• When writing your results chapter, report your findings in the past tense . You’re talking about what you’ve found in your data, not what you are currently looking for or trying to find.
• Structure your results chapter systematically and sequentially . If you had two experiments where findings from the one generated inputs into the other, report on them in order.
• Make your own tables and graphs rather than copying and pasting them from statistical analysis programmes like SPSS. Check out the DataIsBeautiful reddit for some inspiration.
• Once you’re done writing, review your work to make sure that you have provided enough information to answer your research questions , but also that you didn’t include superfluous information.

If you’ve got any questions about writing up the quantitative results chapter, please leave a comment below. If you’d like 1-on-1 assistance with your quantitative analysis and discussion, check out our hands-on coaching service , or book a free consultation with a friendly coach.

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Thank you. I will try my best to write my results.

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How to Write the Results Section of a Research Paper

Table of Contents

Laura Moro-Martin, freelance scientific writer on Kolabtree, provides expert tips on how to write the results section of a research paper . 

You have prepared a detailed −but concise− Methods section . Now it is time to write the Results of your research article. This part of the paper reports the findings of the experiments that you conducted to answer the research question(s). The Results can be considered the nucleus of a scientific article because they justify your claims, so you need to ensure that they are clear and understandable. You are telling a story −of course, a scientific story− and you want the readers to picture that same story in their minds. Let’s see how to avoid that your message ends up as in the ‘telephone game’.

The Results Section: Goals and Structure

Depending on the discipline, journal, and the nature of the study, the structure of the article can differ. We will focus on articles were the Results and Discussion appear in two separate sections, but it is possible in some cases to combine them.

In the Results section, you provide an overall description of the experiments and present the data that you obtained in a logical order, using tables and graphs as necessary. The Results section should simply state your findings without bias or interpretation. For example, in your analysis, you may have noticed a significant correlation between two variables never described before. It is correct to explain this in the Results section. However, speculation about the reasons for this correlation should go in the Discussion section of your paper.

In general, the Results section includes the following elements:

• A very short introductory context that repeats the research question and helps to understand your results.
• Report on data collection, recruitment, and/or participants. For example, in the case of clinical research, it is common to include a first table summarizing the demographic, clinical, and other relevant characteristics of the study participants.
• A systematic description of the main findings in a logical order (generally following the order of the Methods section), highlighting the most relevant results.
• Other important secondary findings, such as secondary outcomes or subgroup analyses (remember that you do not need to mention any single result).
• Visual elements, such as, figures, charts, maps, tables, etc. that summarize and illustrate the findings. These elements should be cited in the text and numbered in order. Figures and tables should be able to stand on its own without the text, which means that the legend should include enough information to understand the non-textual element.

How to Write the Results Section of a Research Paper: Tips

The first tip −applicable to other sections of the paper too− is to check and apply the requirements of the journal to which you are submitting your work.

In the Results section, you need to write concisely and objectively, leaving interpretation for the Discussion section. As always, ‘learning from others’ can help you. Select a few papers from your field, including some published in your target journal, which you consider ‘good quality’ and well written. Read them carefully and observe how the Results section is structured, the type and amount of information provided, and how the findings are exposed in a logical order. Keep an eye on visual elements, such as figures, tables, and supplementary materials. Understand what works well in those papers to effectively convey their findings, and apply it to your writing.

Your Results section needs to describe the sequence of what you did and found, the frequency of occurrence of a particular event or result, the quantities of your observations, and the causality (i.e. the relationships or connections) between the events that you observed.

To organize the results, you can try to provide them alongside the research questions. In practice, this means that you will organize this section based on the sequence of tables and figures summarizing the results of your statistical analysis. In this way, it will be easier for readers to look at and understand your findings. You need to report your statistical findings, without describing every step of your statistical analysis. Tables and figures generally report summary-level data (for example, means and standard deviations), rather than all the raw data.

Following, you can prepare the summary text to support those visual elements. You need not only to present but also to explain your findings, showing how they help to address the research question(s) and how they align with the objectives that you presented in the Introduction . Keep in mind that results do not speak for themselves, so if you do not describe them in words, the reader may perceive the findings differently from you. 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:

• Check the guidelines of your target journal and read articles that it has published in similar topics to your study.
• Catalogue your findings in relation to the journal requirements, and design figures and tables to organize your data.
• Write the Results section following the order of figures and tables.
• Edit and revise your draft and seek additional input from colleagues or experts.

The Style of the Results Section

‘If you are out to describe the truth, leave elegance to the tailor’, Austrian physicist Ludwig Boltzmann said. Although the scope of the Results section −and of scientific papers in general− is eminently functional, this does not mean that you cannot write well. Try to improve the rhythm to move the reader along, use transitions and connectors between different sections and paragraphs, and dedicate time to revise your writing.

The Results section should be written in the past tense. Although writing in the passive voice may be tempting, the use of the active voice makes the action much more visualizable. The passive voice weakens the power of language and increases the number of words needed to say the same thing, so we recommend using the active voice as much as possible. Another tip to make your language visualizable and reduce sentence length is the use of verbal phrases instead of long nouns. For example, instead of writing ‘As shown in Table 1, there was a significant increase in gene expression’, you can say ‘As shown in Table 1, gene expression increased significantly’.

Get a Second (And Even Third) Opinion

Writing a scientific article is not an individual work. Take advantage of your co-authors by making them check the Results section and adding their comments and suggestions. Not only that, but an external opinion will help you to identify misinterpretations or errors. Ask a colleague that is not directly involved in the work to review your Results and then try to evaluate what your colleague did or did not understand. If needed, seek additional help from a qualified expert.

Common Errors to Avoid While Writing the Results Section

Several mistakes frequently occur when you write the Results section of a research paper. Here we have collected a few examples:

• Including raw results and/or endlessly repetitive data. You do not need to present every single number and calculation, but a summary of the results. If relevant, raw data can be included in supplementary materials.
• Including redundant information. If data are contained in the tables or figures, you do not need to repeat all of them in the Results section. You will have the opportunity to highlight the most relevant results in the Discussion .
• Repeating background information or methods , or introducing several sentences of introductory information (if you feel that more background information is necessary to present a result, consider inserting that information in the Introduction ).
• Results and Methods do not match . You need to explain the methodology used to obtain all the experimental observations.
• Ignoring negative results or results that do not support the conclusions. In addition to posing potential ethical concerns on your work, reviewers will not like it. You need to mention all relevant findings, even if they failed to support your predictions or hypotheses. Negative results are useful and will guide future studies on the topic. Provide your interpretation for negative results in the Discussion .
• Discussing or interpreting the results . Leave that for the Discussion , unless your target journal allows preparing one section combining Results and Discussion .
• Errors in figures/tables are varied and common . Examples of errors include using an excessive number of figures/tables (it is a good idea to select the most relevant ones and move the rest to supplementary materials), very complex figures/tables (hard-to-read figures with many subfigures or enormous tables may confuse your readers; think how these elements will be visualized in the final format of the article), difficult to interpret figures/tables (cryptic abbreviations; inadequate use of colors, axis, scales, symbols, etc.), and figures/tables that are not self-standing (figures/tables require a caption, all abbreviations used need to be explained in the legend or a footnote, and statistical tests applied are frequently reported). Do not include tables and figures that are not mentioned in the body text of your Results .

In summary, the Results section is the nucleus of your paper that justifies your claims. Take time to adequately organize it and prepare understandable figures and tables to convey your message to the reader. Good writing!

• The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. https://abacus.bates.edu/~ganderso/biology/resources/writing/HTWsections.html – methods (accessed on 30th September 2020)
• Organizing Academic Research Papers: 7. The Results. https://library.sacredheart.edu/c.php?g=29803&p=185931 (accessed on 30th September 2020)
• Kendra Cherry. How to Write an APA Results Section. https://www.verywellmind.com/how-to-write-a-results-section-2795727 (accessed on 30th September 2020)
• Chapin Rodríguez. Empowering your scientific language by making it “visualizable”. http://creaducate.eu/wp-content/uploads/2019/11/tipsheet36_visualizable-lang-tip-sheet.pdf (accessed on 1st October 2020)
• IMRaD Results Discussion. https://writingcenter.gmu.edu/guides/imrad-results-discussion (accessed on 1st October 2020)
• Writing the Results Section for a Research Paper. https://wordvice.com/writing-the-results-section-for-a-research-paper/ (accessed on 1st October 2020)
• Scott L. Montgomery. The Chicago Guide to Communicating Science , Chapter 9. Second edition, The University of Chicago Press, 2017.
• Hilary Glasman-Deal . Science Research Writing for Non-Native Speakers of English, Unit 2 . Imperial College Press, 2010.

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Organizing Your Social Sciences Research Paper

• 7. The Results
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The results section is where you report the findings of your study based upon the methodology [or methodologies] you applied to gather information. The results section should state the findings of the research arranged in a logical sequence without bias or interpretation. A section describing results should be particularly detailed if your paper includes data generated from your own research.

Annesley, Thomas M. "Show Your Cards: The Results Section and the Poker Game." Clinical Chemistry 56 (July 2010): 1066-1070.

Importance of a Good Results Section

When formulating the results section, it's important to remember that the results of a study do not prove anything . Findings can only confirm or reject the hypothesis underpinning your study. However, the act of articulating the results helps you to understand the problem from within, to break it into pieces, and to view the research problem from various perspectives.

The page length of this section is set by the amount and types of data to be reported . Be concise. Use non-textual elements appropriately, such as figures and tables, to present findings more effectively. In deciding what data to describe in your results section, you must clearly distinguish information that would normally be included in a research paper from any raw data or other content that could be included as an appendix. In general, raw data that has not been summarized should not be included in the main text of your paper unless requested to do so by your professor.

Avoid providing data that is not critical to answering the research question . The background information you described in the introduction section should provide the reader with any additional context or explanation needed to understand the results. A good strategy is to always re-read the background section of your paper after you have written up your results to ensure that the reader has enough context to understand the results [and, later, how you interpreted the results in the discussion section of your paper that follows].

Bavdekar, Sandeep B. and Sneha Chandak. "Results: Unraveling the Findings." Journal of the Association of Physicians of India 63 (September 2015): 44-46; Brett, Paul. "A Genre Analysis of the Results Section of Sociology Articles." English for Specific Speakers 13 (1994): 47-59; Go to English for Specific Purposes on ScienceDirect;Burton, Neil et al. Doing Your Education Research Project . Los Angeles, CA: SAGE, 2008; Results. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Kretchmer, Paul. Twelve Steps to Writing an Effective Results Section. San Francisco Edit; "Reporting Findings." In Making Sense of Social Research Malcolm Williams, editor. (London;: SAGE Publications, 2003) pp. 188-207.

Structure and Writing Style

I.  Organization and Approach

For most research papers in the social and behavioral sciences, there are two possible ways of organizing the results . Both approaches are appropriate in how you report your findings, but use only one approach.

• Present a synopsis of the results followed by an explanation of key findings . This approach can be used to highlight important findings. For example, you may have noticed an unusual correlation between two variables during the analysis of your findings. It is appropriate to highlight this finding in the results section. However, speculating as to why this correlation exists and offering a hypothesis about what may be happening belongs in the discussion section of your paper.
• Present a result and then explain it, before presenting the next result then explaining it, and so on, then end with an overall synopsis . This is the preferred approach if you have multiple results of equal significance. It is more common in longer papers because it helps the reader to better understand each finding. In this model, it is helpful to provide a brief conclusion that ties each of the findings together and provides a narrative bridge to the discussion section of the your paper.

NOTE :   Just as the literature review should be arranged under conceptual categories rather than systematically describing each source, you should also organize your findings under key themes related to addressing the research problem. This can be done under either format noted above [i.e., a thorough explanation of the key results or a sequential, thematic description and explanation of each finding].

II.  Content

In general, the content of your results section should include the following:

• Introductory context for understanding the results by restating the research problem underpinning your study . This is useful in re-orientating the reader's focus back to the research problem after having read a review of the literature and your explanation of the methods used for gathering and analyzing information.
• Inclusion of non-textual elements, such as, figures, charts, photos, maps, tables, etc. to further illustrate key findings, if appropriate . Rather than relying entirely on descriptive text, consider how your findings can be presented visually. This is a helpful way of condensing a lot of data into one place that can then be referred to in the text. Consider referring to appendices if there is a lot of non-textual elements.
• A systematic description of your results, highlighting for the reader observations that are most relevant to the topic under investigation . Not all results that emerge from the methodology used to gather information may be related to answering the " So What? " question. Do not confuse observations with interpretations; observations in this context refers to highlighting important findings you discovered through a process of reviewing prior literature and gathering data.
• The page length of your results section is guided by the amount and types of data to be reported . However, focus on findings that are important and related to addressing the research problem. It is not uncommon to have unanticipated results that are not relevant to answering the research question. This is not to say that you don't acknowledge tangential findings and, in fact, can be referred to as areas for further research in the conclusion of your paper. However, spending time in the results section describing tangential findings clutters your overall results section and distracts the reader.
• A short paragraph that concludes the results section by synthesizing the key findings of the study . Highlight the most important findings you want readers to remember as they transition into the discussion section. This is particularly important if, for example, there are many results to report, the findings are complicated or unanticipated, or they are impactful or actionable in some way [i.e., able to be pursued in a feasible way applied to practice].

NOTE:   Always use the past tense when referring to your study's findings. Reference to findings should always be described as having already happened because the method used to gather the information has been completed.

III.  Problems to Avoid

When writing the results section, avoid doing the following :

• Discussing or interpreting your results . Save this for the discussion section of your paper, although where appropriate, you should compare or contrast specific results to those found in other studies [e.g., "Similar to the work of Smith [1990], one of the findings of this study is the strong correlation between motivation and academic achievement...."].
• Reporting background information or attempting to explain your findings. This should have been done in your introduction section, but don't panic! Often the results of a study point to the need for additional background information or to explain the topic further, so don't think you did something wrong. Writing up research is rarely a linear process. Always revise your introduction as needed.
• Ignoring negative results . A negative result generally refers to a finding that does not support the underlying assumptions of your study. Do not ignore them. Document these findings and then state in your discussion section why you believe a negative result emerged from your study. Note that negative results, and how you handle them, can give you an opportunity to write a more engaging discussion section, therefore, don't be hesitant to highlight them.
• Including raw data or intermediate calculations . Ask your professor if you need to include any raw data generated by your study, such as transcripts from interviews or data files. If raw data is to be included, place it in an appendix or set of appendices that are referred to in the text.
• Be as factual and concise as possible in reporting your findings . Do not use phrases that are vague or non-specific, such as, "appeared to be greater than other variables..." or "demonstrates promising trends that...." Subjective modifiers should be explained in the discussion section of the paper [i.e., why did one variable appear greater? Or, how does the finding demonstrate a promising trend?].
• Presenting the same data or repeating the same information more than once . If you want to highlight a particular finding, it is appropriate to do so in the results section. However, you should emphasize its significance in relation to addressing the research problem in the discussion section. Do not repeat it in your results section because you can do that in the conclusion of your paper.
• Confusing figures with tables . Be sure to properly label any non-textual elements in your paper. Don't call a chart an illustration or a figure a table. If you are not sure, go here .

Annesley, Thomas M. "Show Your Cards: The Results Section and the Poker Game." Clinical Chemistry 56 (July 2010): 1066-1070; Bavdekar, Sandeep B. and Sneha Chandak. "Results: Unraveling the Findings." Journal of the Association of Physicians of India 63 (September 2015): 44-46; Burton, Neil et al. Doing Your Education Research Project . Los Angeles, CA: SAGE, 2008;  Caprette, David R. Writing Research Papers. Experimental Biosciences Resources. Rice University; Hancock, Dawson R. and Bob Algozzine. Doing Case Study Research: A Practical Guide for Beginning Researchers . 2nd ed. New York: Teachers College Press, 2011; Introduction to Nursing Research: Reporting Research Findings. Nursing Research: Open Access Nursing Research and Review Articles. (January 4, 2012); Kretchmer, Paul. Twelve Steps to Writing an Effective Results Section. San Francisco Edit ; Ng, K. H. and W. C. Peh. "Writing the Results." Singapore Medical Journal 49 (2008): 967-968; Reporting Research Findings. Wilder Research, in partnership with the Minnesota Department of Human Services. (February 2009); Results. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Schafer, Mickey S. Writing the Results. Thesis Writing in the Sciences. Course Syllabus. University of Florida.

Writing Tip

Why Don't I Just Combine the Results Section with the Discussion Section?

It's not unusual to find articles in scholarly social science journals where the author(s) have combined a description of the findings with a discussion about their significance and implications. You could do this. However, if you are inexperienced writing research papers, consider creating two distinct sections for each section in your paper as a way to better organize your thoughts and, by extension, your paper. Think of the results section as the place where you report what your study found; think of the discussion section as the place where you interpret the information and answer the "So What?" question. As you become more skilled writing research papers, you can consider melding the results of your study with a discussion of its implications.

Driscoll, Dana Lynn and Aleksandra Kasztalska. Writing the Experimental Report: Methods, Results, and Discussion. The Writing Lab and The OWL. Purdue University.

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Writing a "good" results section

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"Results Checklist" from: How to Write a Good Scientific Paper. Chris A. Mack. SPIE. 2018.

Additional tips for results sections.

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This is the core of the paper. Don't start the results sections with methods you left out of the Materials and Methods section. You need to give an overall description of the experiments and present the data you found.

• Factual statements supported by evidence. Short and sweet without excess words
• Present representative data rather than endlessly repetitive data
• Discuss variables only if they had an effect (positive or negative)
• Use meaningful statistics
• Avoid redundancy. If it is in the tables or captions you may not need to repeat it

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• 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 results in chronological order rather than logical order; ignoring results that do not support the conclusions; 
• Number tables and figures separately beginning with 1 (i.e. Table 1, Table 2, Figure 1, etc.).
• Do not attempt to evaluate the results in this section. Report only what you found; hold all discussion of the significance of the results for the Discussion section.
• It is not necessary to describe every step of your statistical analyses. Scientists understand all about null hypotheses, rejection rules, and so forth and do not need to be reminded of them. Just say something like, "Honeybees did not use the flowers in proportion to their availability (X2 = 7.9, p<0.05, d.f.= 4, chi-square test)." Likewise, cite tables and figures without describing in detail how the data were manipulated. Explanations of this sort should appear in a legend or caption written on the same page as the figure or table.
• You must refer in the text to each figure or table you include in your paper.
• Tables generally should report summary-level data, such as means ± standard deviations, rather than all your raw data.  A long list of all your individual observations will mean much less than a few concise, easy-to-read tables or figures that bring out the main findings of your study.  
• Only use a figure (graph) when the data lend themselves to a good visual representation.  Avoid using figures that show too many variables or trends at once, because they can be hard to understand.

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The Quintessence of Basic and Clinical Research and Scientific Publishing pp 717–731 Cite as

How to Present Results in a Research Paper

• Aparna Mukherjee 4 ,
• Gunjan Kumar 4 &
• Rakesh Lodha 5  
• First Online: 01 October 2023

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The results section is the core of a research manuscript where the study data and analyses are presented in an organized, uncluttered manner such that the reader can easily understand and interpret the findings. This section is completely factual; there is no place for opinions or explanations from the authors. The results should correspond to the objectives of the study in an orderly manner. Self-explanatory tables and figures add value to this section and make data presentation more convenient and appealing. The results presented in this section should have a link with both the preceding methods section and the following discussion section. A well-written, articulate results section lends clarity and credibility to the research paper and the study as a whole. This chapter provides an overview and important pointers to effective drafting of the results section in a research manuscript and also in theses.

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Acknowledgments

The book chapter is derived in part from our article “Mukherjee A, Lodha R. Writing the Results. Indian Pediatr. 2016 May 8;53(5):409-15.” We thank the Editor-in-Chief of the journal “Indian Pediatrics” for the permission for the same.

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Mukherjee, A., Kumar, G., Lodha, R. (2023). How to Present Results in a Research Paper. In: Jagadeesh, G., Balakumar, P., Senatore, F. (eds) The Quintessence of Basic and Clinical Research and Scientific Publishing. Springer, Singapore. https://doi.org/10.1007/978-981-99-1284-1_44

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• How to Write a Results Section | Tips & Examples

How to Write a Results Section | Tips & Examples

Published on 27 October 2016 by Bas Swaen . Revised on 25 October 2022 by Tegan George.

A results section is where you report the main findings of the data collection and analysis you conducted for your thesis or dissertation . You should report all relevant results concisely and objectively, in a logical order. Don’t include subjective interpretations of why you found these results or what they mean – any evaluation should be saved for the discussion section .

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Table of contents

How to write a results section, reporting quantitative research results, reporting qualitative research results, results vs discussion vs conclusion, checklist: research results, frequently asked questions about results sections.

When conducting research, it’s important to report the results of your study prior to discussing your interpretations of it. This gives your reader a clear idea of exactly what you found and keeps the data itself separate from your subjective analysis.

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 analysed, it should be written as concisely as possible.
• Only include results that are directly relevant to answering your research questions . Avoid speculative or interpretative words like ‘appears’ or ‘implies’.
• If you have other results you’d like to include, consider adding them to an appendix or footnotes.
• Always start out with your broadest results first, and then flow into your more granular (but still relevant) ones. Think of it like a shoe shop: first discuss the shoes as a whole, then the trainers, boots, sandals, etc.

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If you conducted quantitative research , you’ll likely be working with the results of some sort of statistical analysis .

Your results section should report the results of any statistical tests you used to compare groups or assess relationships between variables . It should also state whether or not each hypothesis was supported.

The most logical way to structure quantitative results is to frame them around your research questions or hypotheses. For each question or hypothesis, share:

• A reminder of the type of analysis you used (e.g., a two-sample t test or simple linear regression ). A more detailed description of your analysis should go in your methodology section.
• A concise summary of each relevant result, both positive and negative. This can include any relevant descriptive statistics (e.g., means and standard deviations ) as well as inferential statistics (e.g., t scores, degrees of freedom , and p values ). Remember, these numbers are often placed in parentheses.
• A brief statement of how each result relates to the question, or whether the hypothesis was supported. You can briefly mention any results that didn’t fit with your expectations and assumptions, but save any speculation on their meaning or consequences for your discussion  and conclusion.

A note on tables and figures

In quantitative research, it’s often helpful to include visual elements such as graphs, charts, and tables , but only if they are directly relevant to your results. Give these elements clear, descriptive titles and labels so that your reader can easily understand what is being shown. If you want to include any other visual elements that are more tangential in nature, consider adding a figure and table list .

As a rule of thumb:

• Tables are used to communicate exact values, giving a concise overview of various results
• Graphs and charts are used to visualise trends and relationships, giving an at-a-glance illustration of key findings

Don’t forget to also mention any tables and figures you used within the text of your results section. Summarise or elaborate on specific aspects you think your reader should know about rather than merely restating the same numbers already shown.

Figure 1: Intention to donate to environmental organisations based on social distance from impact of environmental damage.

In qualitative research , your results might not all be directly related to specific hypotheses. In this case, you can structure your results section around key themes or topics that emerged from your analysis of the data.

For each theme, start with general observations about what the data showed. You can mention:

• Recurring points of agreement or disagreement
• Patterns and trends
• Particularly significant snippets from individual responses

Next, clarify and support these points with direct quotations. Be sure to report any relevant demographic information about participants. Further information (such as full transcripts , if appropriate) can be included in an appendix .

‘I think that in role-playing games, there’s more attention to character design, to world design, because the whole story is important and more attention is paid to certain game elements […] so that perhaps you do need bigger teams of creative experts than in an average shooter or something.’

Responses suggest that video game consumers consider some types of games to have more artistic potential than others.

Your results section should objectively report your findings, presenting only brief observations in relation to each question, hypothesis, or theme.

It should not  speculate about the meaning of the results or attempt to answer your main research question . Detailed interpretation of your results is more suitable for your discussion section , while synthesis of your results into an overall answer to your main research question is best left for your conclusion .

I have completed my data collection and analyzed the results.

I have included all results that are relevant to my research questions.

I have concisely and objectively reported each result, including relevant descriptive statistics and inferential statistics .

I have stated whether each hypothesis was supported or refuted.

I have used tables and figures to illustrate my results where appropriate.

All tables and figures are correctly labelled and referred to in the text.

There is no subjective interpretation or speculation on the meaning of the results.

You've finished writing up your results! Use the other checklists to further improve your thesis.

The results chapter of a thesis or dissertation presents your research results concisely and objectively.

In quantitative research , for each question or hypothesis , state:

• The type of analysis used
• Relevant results in the form of descriptive and inferential statistics
• Whether or not the alternative hypothesis was supported

In qualitative research , for each question or theme, describe:

• Recurring patterns
• Significant or representative individual responses
• Relevant quotations from the data

Don’t interpret or speculate in the results chapter.

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

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Organizing Academic Research Papers: 7. The Results

• Purpose of Guide
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• Glossary of Research Terms
• Narrowing a Topic Idea
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• Acknowledgements

The results section of the research paper is where you report the findings of your study based upon the information gathered as a result of the methodology [or methodologies] you applied. The results section should simply state the findings, without bias or interpretation, and arranged in a logical sequence. The results section should always be written in the past tense. A section describing results [a.k.a., "findings"] is particularly necessary if your paper includes data generated from your own research.

Importance of a Good Results Section

When formulating the results section, it's important to remember that the results of a study do not prove anything . Research results can only confirm or reject the research problem underpinning your study. However, the act of articulating the results helps you to understand the problem from within, to break it into pieces, and to view the research problem from various perspectives.

The page length of this section is set by the amount and types of data to be reported . Be concise, using non-textual elements, such as figures and tables, if appropriate, to present results more effectively. In deciding what data to describe in your results section, you must clearly distinguish material that would normally be included in a research paper from any raw data or other material that could be included as an appendix. In general, raw data should not be included in the main text of your paper unless requested to do so by your professor.

Avoid providing data that is not critical to answering the research question . The background information you described in the introduction section should provide the reader with any additional context or explanation needed to understand the results. A good rule is to always re-read the background section of your paper after you have written up your results to ensure that the reader has enough context to understand the results [and, later, how you interpreted the results in the discussion section of your paper].

Bates College; Burton, Neil et al. Doing Your Education Research Project . Los Angeles, CA: SAGE, 2008; Results . The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College.

Structure and Writing Style

I. Structure and Approach

For most research paper formats, there are two ways of presenting and organizing the results .

• Present the results followed by a short explanation of the findings . For example, you may have noticed an unusual correlation between two variables during the analysis of your findings. It is correct to point this out in the results section. However, speculating as to why this correlation exists, and offering a hypothesis about what may be happening, belongs in the discussion section of your paper.
• Present a section and then discuss it, before presenting the next section then discussing it, and so on . This is more common in longer papers because it helps the reader to better understand each finding. In this model, it can be helpful to provide a brief conclusion in the results section that ties each of the findings together and links to the discussion.

NOTE: The discussion section should generally follow the same format chosen in presenting and organizing the results.

II.  Content

In general, the content of your results section should include the following elements:

• An introductory context for understanding the results by restating the research problem that underpins the purpose of your study.
• A summary of your key findings arranged in a logical sequence that generally follows your methodology section.
• Inclusion of non-textual elements, such as, figures, charts, photos, maps, tables, etc. to further illustrate the findings, if appropriate.
• In the text, a systematic description of your results, highlighting for the reader observations that are most relevant to the topic under investigation [remember that not all results that emerge from the methodology that you used to gather the data may be relevant].
• Use of the past tense when refering to your results.
• The page length of your results section is guided by the amount and types of data to be reported. However, focus only on findings that are important and related to addressing the research problem.

Using Non-textual Elements

• Either place figures, tables, charts, etc. within the text of the result, or include them in the back of the report--do one or the other but never do both.
• In the text, refer to each non-textual element in numbered order [e.g.,  Table 1, Table 2; Chart 1, Chart 2; Map 1, Map 2].
• If you place non-textual elements at the end of the report, make sure they are clearly distinguished from any attached appendix materials, such as raw data.
• Regardless of placement, each non-textual element must be numbered consecutively and complete with caption [caption goes under the figure, table, chart, etc.]
• Each non-textual element must be titled, numbered consecutively, and complete with a heading [title with description goes above the figure, table, chart, etc.].
• In proofreading your results section, be sure that each non-textual element is sufficiently complete so that it could stand on its own, separate from the text.

III. Problems to Avoid

When writing the results section, avoid doing the following :

• Discussing or interpreting your results . Save all this for the next section of your paper, although where appropriate, you should compare or contrast specific results to those found in other studies [e.g., "Similar to Smith [1990], one of the findings of this study is the strong correlation between motivation and academic achievement...."].
• Reporting background information or attempting to explain your findings ; this should have been done in your Introduction section, but don't panic! Often the results of a study point to the need to provide additional background information or to explain the topic further, so don't think you did something wrong. Revise your introduction as needed.
• Ignoring negative results . If some of your results fail to support your hypothesis, do not ignore them. Document them, then state in your discussion section why you believe a negative result emerged from your study. Note that negative results, and how you handle them, often provides you with the opportunity to write a more engaging discussion section, therefore, don't be afraid to highlight them.
• Including raw data or intermediate calculations . Ask your professor if you need to include any raw data generated by your study, such as transcripts from interviews or data files. If raw data is to be included, place it in an appendix or set of appendices that are referred to in the text.
• Be as factual and concise as possible in reporting your findings . Do not use phrases that are vague or non-specific, such as, "appeared to be greater or lesser than..." or "demonstrates promising trends that...."
• Presenting the same data or repeating the same information more than once . If you feel the need to highlight something, you will have a chance to do that in the discussion section.
• Confusing figures with tables . Be sure to properly label any non-textual elements in your paper. If you are not sure, look up the term in a dictionary.

Burton, Neil et al. Doing Your Education Research Project . Los Angeles, CA: SAGE, 2008;  Caprette, David R. Writing Research Papers . Experimental Biosciences Resources. Rice University; Hancock, Dawson R. and Bob Algozzine. Doing Case Study Research: A Practical Guide for Beginning Researchers . 2nd ed. New York: Teachers College Press, 2011; Introduction to Nursing Research: Reporting Research Findings. Nursing Research: Open Access Nursing Research and Review Articles. (January 4, 2012); Reporting Research Findings. Wilder Research, in partnership with the Minnesota Department of Human Services. (February 2009); Results . The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Schafer, Mickey S. Writing the Results . Thesis Writing in the Sciences. Course Syllabus. University of Florida.

Writing Tip

Why Don't I Just Combine the Results Section with the Discussion Section?

It's not unusual to find articles in social science journals where the author(s) have combined a description of the findings from the study with a discussion about their implications. You could do this. However, if you are inexperienced writing research papers, consider creating two sections for each element in your paper as a way to better organize your thoughts and, by extension, your  paper. Think of the results section as the place where you report what your study found; think of the discussion section as the place where you interpret your data and answer the "so what?" question. As you become more skilled writing research papers, you may want to meld the results of your study with a discussion of its implications.

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How to Write a Lab Report – with Example/Template

April 11, 2024

Perhaps you’re in the midst of your challenging AP chemistry class in high school, or perhaps college you’re enrolled in biology , chemistry , or physics at university. At some point, you will likely be asked to write a lab report. Sometimes, your teacher or professor will give you specific instructions for how to format and write your lab report, and if so, use that. In case you’re left to your own devices, here are some guidelines you might find useful. Continue reading for the main elements of a lab report, followed by a detailed description of the more writing-heavy parts (with a lab report example/lab report template). Lastly, we’ve included an outline that can help get you started.

What is a lab report?

A lab report is an overview of your experiment. Essentially, it explains what you did in the experiment and how it went. Most lab reports end up being 5-10 pages long (graphs or other images included), though the length depends on the experiment. Here are some brief explanations of the essential parts of a lab report:

Title : The title says, in the most straightforward way possible, what you did in the experiment. Often, the title looks something like, “Effects of ____ on _____.” Sometimes, a lab report also requires a title page, which includes your name (and the names of any lab partners), your instructor’s name, and the date of the experiment.

Abstract : This is a short description of key findings of the experiment so that a potential reader could get an idea of the experiment before even beginning.

Introduction : This is comprised of one or several paragraphs summarizing the purpose of the lab. The introduction usually includes the hypothesis, as well as some background information.

Lab Report Example (Continued)

Materials : Perhaps the simplest part of your lab report, this is where you list everything needed for the completion of your experiment.

Methods : This is where you describe your experimental procedure. The section provides necessary information for someone who would want to replicate your study. In paragraph form, write out your methods in chronological order, though avoid excessive detail.

Data : Here, you should document what happened in the experiment, step-by-step. This section often includes graphs and tables with data, as well as descriptions of patterns and trends. You do not need to interpret all of the data in this section, but you can describe trends or patterns, and state which findings are interesting and/or significant.

Discussion of results : This is the overview of your findings from the experiment, with an explanation of how they pertain to your hypothesis, as well as any anomalies or errors.

Conclusion : Your conclusion will sum up the results of your experiment, as well as their significance. Sometimes, conclusions also suggest future studies.

Sources : Often in APA style , you should list all texts that helped you with your experiment. Make sure to include course readings, outside sources, and other experiments that you may have used to design your own.

How to write the abstract

The abstract is the experiment stated “in a nutshell”: the procedure, results, and a few key words. The purpose of the academic abstract is to help a potential reader get an idea of the experiment so they can decide whether to read the full paper. So, make sure your abstract is as clear and direct as possible, and under 200 words (though word count varies).

When writing an abstract for a scientific lab report, we recommend covering the following points:

• Background : Why was this experiment conducted?
• Objectives : What problem is being addressed by this experiment?
• Methods : How was the study designed and conducted?
• Results : What results were found and what do they mean?
• Conclusion : Were the results expected? Is this problem better understood now than before? If so, how?

How to write the introduction

The introduction is another summary, of sorts, so it could be easy to confuse the introduction with the abstract. While the abstract tends to be around 200 words summarizing the entire study, the introduction can be longer if necessary, covering background information on the study, what you aim to accomplish, and your hypothesis. Unlike the abstract (or the conclusion), the introduction does not need to state the results of the experiment.

Here is a possible order with which you can organize your lab report introduction:

• Intro of the intro : Plainly state what your study is doing.
• Background : Provide a brief overview of the topic being studied. This could include key terms and definitions. This should not be an extensive literature review, but rather, a window into the most relevant topics a reader would need to understand in order to understand your research.
• Importance : Now, what are the gaps in existing research? Given the background you just provided, what questions do you still have that led you to conduct this experiment? Are you clarifying conflicting results? Are you undertaking a new area of research altogether?
• Prediction: The plants placed by the window will grow faster than plants placed in the dark corner.
• Hypothesis: Basil plants placed in direct sunlight for 2 hours per day grow at a higher rate than basil plants placed in direct sunlight for 30 minutes per day.
• How you test your hypothesis : This is an opportunity to briefly state how you go about your experiment, but this is not the time to get into specific details about your methods (save this for your results section). Keep this part down to one sentence, and voila! You have your introduction.

How to write a discussion section

Here, we’re skipping ahead to the next writing-heavy section, which will directly follow the numeric data of your experiment. The discussion includes any calculations and interpretations based on this data. In other words, it says, “Now that we have the data, why should we care?”  This section asks, how does this data sit in relation to the hypothesis? Does it prove your hypothesis or disprove it? The discussion is also a good place to mention any mistakes that were made during the experiment, and ways you would improve the experiment if you were to repeat it. Like the other written sections, it should be as concise as possible.

Here is a list of points to cover in your lab report discussion:

• Weaker statement: These findings prove that basil plants grow more quickly in the sunlight.
• Stronger statement: These findings support the hypothesis that basil plants placed in direct sunlight grow at a higher rate than basil plants given less direct sunlight.
• Factors influencing results : This is also an opportunity to mention any anomalies, errors, or inconsistencies in your data. Perhaps when you tested the first round of basil plants, the days were sunnier than the others. Perhaps one of the basil pots broke mid-experiment so it needed to be replanted, which affected your results. If you were to repeat the study, how would you change it so that the results were more consistent?
• Implications : How do your results contribute to existing research? Here, refer back to the gaps in research that you mentioned in your introduction. Do these results fill these gaps as you hoped?
• Questions for future research : Based on this, how might your results contribute to future research? What are the next steps, or the next experiments on this topic? Make sure this does not become too broad—keep it to the scope of this project.

How to write a lab report conclusion

This is your opportunity to briefly remind the reader of your findings and finish strong. Your conclusion should be especially concise (avoid going into detail on findings or introducing new information).

Here are elements to include as you write your conclusion, in about 1-2 sentences each:

• Restate your goals : What was the main question of your experiment? Refer back to your introduction—similar language is okay.
• Restate your methods : In a sentence or so, how did you go about your experiment?
• Key findings : Briefly summarize your main results, but avoid going into detail.
• Limitations : What about your experiment was less-than-ideal, and how could you improve upon the experiment in future studies?
• Significance and future research : Why is your research important? What are the logical next-steps for studying this topic?

Template for beginning your lab report

Here is a compiled outline from the bullet points in these sections above, with some examples based on the (overly-simplistic) basil growth experiment. Hopefully this will be useful as you begin your lab report.

1) Title (ex: Effects of Sunlight on Basil Plant Growth )

2) Abstract (approx. 200 words)

• Background ( This experiment looks at… )
• Objectives ( It aims to contribute to research on…)
• Methods ( It does so through a process of…. )
• Results (Findings supported the hypothesis that… )
• Conclusion (These results contribute to a wider understanding about…)

3) Introduction (approx. 1-2 paragraphs)

• Intro ( This experiment looks at… )
• Background ( Past studies on basil plant growth and sunlight have found…)
• Importance ( This experiment will contribute to these past studies by…)
• Hypothesis ( Basil plants placed in direct sunlight for 2 hours per day grow at a higher rate than basil plants placed in direct sunlight for 30 minutes per day.)
• How you will test your hypothesis ( This hypothesis will be tested by a process of…)

4) Materials (list form) (ex: pots, soil, seeds, tables/stands, water, light source )

5) Methods (approx. 1-2 paragraphs) (ex: 10 basil plants were measured throughout a span of…)

6) Data (brief description and figures) (ex: These charts demonstrate a pattern that the basil plants placed in direct sunlight…)

7) Discussion (approx. 2-3 paragraphs)

• Support or reject hypothesis ( These findings support the hypothesis that basil plants placed in direct sunlight grow at a higher rate than basil plants given less direct sunlight.)
• Factors that influenced your results ( Outside factors that could have altered the results include…)
• Implications ( These results contribute to current research on basil plant growth and sunlight because…)
• Questions for further research ( Next steps for this research could include…)
• Restate your goals ( In summary, the goal of this experiment was to measure…)
• Restate your methods ( This hypothesis was tested by…)
• Key findings ( The findings supported the hypothesis because…)
• Limitations ( Although, certain elements were overlooked, including…)
• Significance and future research ( This experiment presents possibilities of future research contributions, such as…)
• Sources (approx. 1 page, usually in APA style)

Final thoughts – Lab Report Example

Hopefully, these descriptions have helped as you write your next lab report. Remember that different instructors may have different preferences for structure and format, so make sure to double-check when you receive your assignment. All in all, make sure to keep your scientific lab report concise, focused, honest, and organized. Good luck!

For more reading on coursework success, check out the following articles:

• How to Write the AP Lang Argument Essay (With Example)
• How to Write the AP Lang Rhetorical Analysis Essay (With Example)
• 49 Most Interesting Biology Research Topics
• 50 Best Environmental Science Research Topics
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Interpretation and display of research results

Dilip kumar kulkarni.

Department of Anaesthesiology and Intensive Care, Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India

It important to properly collect, code, clean and edit the data before interpreting and displaying the research results. Computers play a major role in different phases of research starting from conceptual, design and planning, data collection, data analysis and research publication phases. The main objective of data display is to summarize the characteristics of a data and to make the data more comprehensible and meaningful. Usually data is presented depending upon the type of data in different tables and graphs. This will enable not only to understand the data behaviour, but also useful in choosing the different statistical tests to be applied.

INTRODUCTION

Collection of data and display of results is very important in any study. The data of an experimental study, observational study or a survey are required to be collected in properly designed format for documentation, taking into consideration the design of study and different end points of the study. Usually data are collected in the proforma of the study. The data recorded and documented should be stored carefully in documents and in electronic form for example, excel sheets or data bases.

The data are usually classified into qualitative and quantitative [ Table 1 ]. Qualitative data is further divided into two categories, unordered qualitative data, such as blood groups (A, B, O, AB); and ordered qualitative data, such as severity of pain (mild, moderate, severe). Quantitative data are numerical and fall into two categories: discrete quantitative data, such as the internal diameter of endotracheal tube; and continuous quantitative data, such as blood pressure.[ 1 ]

Examples of types of data and display of data

Data Coding is needed to allow the data recorded in categories to be used easily in statistical analysis with a computer. Coding assigns a unique number to each possible response. A few statistical packages analyse categorical data directly. If a number is assigned to categorical data, it becomes easier to analyse. This means that when the data are analysed and reported, the appropriate label needs to be assigned back to the numerical value to make it meaningful. The codes such as 1/0 for yes/no has the added advantage that the variable's 1/0 values can be easily analysed. The record of the codes modified is to be stored for later reference. Such coding can also be done for categorical ordinal data to convert in to numerical ordinal data, for example the severity of pain mild, moderate and severe into 1, 2 and 3 respectively.

PROCESS OF DATA CHECKING, CLEANING AND EDITING

In clinical research, errors occur despite designing the study properly, entering data carefully and preventing errors. Data cleaning and editing are carried out to identify and correct these errors, so that the study results will be accurate.[ 2 ]

Data entry errors in case of sex, dates, double entries and unexpected results are to be corrected unquestionably. Data editing can be done in three phases namely screening, diagnosing and editing [ Figure 1 ].

Process of data checking, cleaning and editing in three phases

Screening phase

During screening of data, it is possible to distinguish the odd data, excess of data, double entries, outliers, and unexpected results. Screening methods are checking of questionnaires, data validation, browsing the excel sheets, data tables and graphical methods to observe data distribution.

Diagnostic phase

The nature of the data can be assessed in this phase. The data entries can be true normal, true errors, outliers, unexpected results.

Treatment phase

Once the data nature is identified the editing can be done by correcting, deleting or leaving the data sets unchanged.

The abnormal data points usually have to be corrected or to be deleted.[ 2 ] However some authors advocate these data points to be included in analysis.[ 3 ] If these extreme data points are deleted, they should be reported as “excluded from analysis”.[ 4 ]

ROLE OF COMPUTERS IN RESEARCH

The role of computers in scientific research is very high; the computers have the ability to perform the analytic tasks with high speed, accuracy and consistency. The Computers role in research process can be explained in different phases.[ 5 ]

Role of computer in conceptual phase

The conceptual phase consists of formulation of research problem, literature survey, theoretical frame work and developing the hypothesis. Computers are useful in searching the literatures. The references can be stored in the electronic database.

Role of computers in design and planning phase

This phase consists of research design preparation and determining sample design, population size, research variables, sampling plan, reviewing research plan and pilot study. The role of computers in these process is almost indispensable.

Role of computers in data collection phase

The data obtained from the subjects stored in computers are word files or excel spread sheets or statistical software data files or from data centers of hospital information management systems (data warehouse). If the data are stored in electronic format checking the data becomes easier. Thus, computers help in data entry, data editing, and data management including follow up actions. Examples of editors are Word Pad, SPSS data editor, word processors.

Role of computers in data analysis

This phase mainly consist of statistical analysis of the data and interpretation of results. Software like Minitab (Minitab Inc. USA.), SPSS (IBM Crop. New York), NCSS (LLC. Kaysville, Utah, USA) and spreadsheets are widely used.

Role of computer in research publication

Research article, research paper, research thesis or research dissertation is typed in word processing software in computers and stored. Which can be easily published in different electronic formats.[ 5 ]

DATA DISPLAY AND DESCRIPTION OF RESEARCH DATA

Data display and description is an important part of any research project which helps in knowing the distribution of data, detecting errors, missing values and outliers. Ultimately the data should be more comprehensible and meaningful.

Tables are commonly used for describing both qualitative and quantitative data. The graphs are useful for visualising the data and understanding the variations and trends of the data. Qualitative data are usually described by using bar or pie charts. Histograms, polygons or box plots are used to represent quantitative data.[ 1 ]

Qualitative data

Tabulation of qualitative data.

The qualitative observations are categorised in to different categories. The category frequency is nothing but the number of observations with in that category. The category relative frequency can be calculated by dividing the number of observations in the category by total number of observations. The Percentage for a category is more commonly used to describe qualitative data. It can be computed by multiplying relative frequency with hundred.[ 6 , 7 ]

The classification of 30 Patients of a group by severity of postoperative pain presented in Table 2 . The frequency table for this data computed by using the software NCSS[ 8 ] is shown in Table 3 .

The classification of post-operative pain in patients

The frequency table for the variable pain

Graphical display of qualitative data

The qualitative data are commonly displayed by bar graphs and pie charts.[ 9 ]

Bar graphs displays information of the frequency, relative frequency or percentage of each category on vertical axis or horizontal axis of the graph. [ Figure 2 ] Pie charts depicts the same information in divided slices in a complete circle. The area for the circle is equal to the frequency, relative frequency or percentage of that category [ Figure 3 ].

The bar graph generated by computer using NCSS software for the variable pain

The Pie graph generated by computer using NCSS software for the variable pain

Quantitative data

Tabulation of quantitative data.

The quantitative data are usually presented as frequency distribution or relative frequency rather than percentage. The data are divided into different classes. The upper and lower limits or the width of classes will depend up on the size of the data and can easily be adjusted.

The frequency distribution and relative frequency distribution table can be constructed in the following manner:

• The quantitative data are divided into number of classes. The lower limit and upper limit of the classes have to be defined.
• The range or width of the class intervals can be calculated by dividing the difference in the upper limit and lower limit by total number of classes.
• The class frequency is the number of observations that fall in that class.
• The relative class frequency can be calculated by dividing class frequency by total number of observations.

Example of frequency table for the data of Systolic blood pressure of 60 patients undergoing craniotomy is shown in Table 4 . The number of classes were 20, the lower limit and the upper limit were 86 mm of Hg and 186 mm of Hg respectively.

Frequency tabulation of systolic blood pressure in sixty patients (unit is mm Hg)

Graphical description of quantitative data

The frequency distribution is usually depicted in histograms. The count or frequency is plotted along the vertical axis and the horizontal axis represents data values. The normality of distribution can be assessed visually by histograms. A frequency histogram is constructed for the dataset of systolic blood pressure, from the frequency Table 4 [ Figure 4 ].

The frequency histogram for the data set of systolic blood pressure (BP), for which the frequency table is constructed in Table 4

Box plot gives the information of spread of observations in a single group around a centre value. The distribution pattern and extreme values can be easily viewed by box plot. A boxplot is constructed for the dataset of systolic blood pressure, from the frequency Table 4 [ Figure 5 ].

Box plot is constructed from data of Table 4

Polygon construction is similar to histogram. However it is a line graph connecting the data points at mid points of class intervals. The polygon is simpler and outline the data pattern clearly[ 8 ] [ Figure 6 ].

A frequency polygon constructed from data of Table 4 in NCSS software

It is often necessary to further summarise quantitative data, for example, for hypothesis testing. The most important elements of a data are its location, which is measured by mean, median and mode. The other parameters are variability (range, interquartile range, standard deviation and variance) and shape of the distribution (normal, skewness, and kurtosis). The details of which will be discussed in the next chapter.

The proper designing of research methodology is an important step from the conceptual phase to the conclusion phase and the computers play an invaluable role from the beginning to the end of a study. The data collection, data storage and data management are vital for any study. The data display and interpretation will help in understating the behaviour of the data and also to know the assumptions for statistical analysis.

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• Open access
• Published: 17 April 2024

Psychological flexibility as a mechanism of change in psilocybin-assisted therapy for major depression: results from an exploratory placebo-controlled trial

• Jordan Sloshower   ORCID: orcid.org/0000-0001-7709-5931 1 , 2 , 3 ,
• Richard J. Zeifman 4 , 5 ,
• Jeffrey Guss 6 ,
• Robert Krause 1 , 7 , 8 ,
• Hamideh Safi-Aghdam 1 , 2 ,
• Surbhi Pathania 1 , 2 ,
• Brian Pittman 1 &
• Deepak Cyril D’Souza 1 , 2  

Scientific Reports volume  14 , Article number:  8833 ( 2024 ) Cite this article

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• Combination drug therapy
• Outcomes research

Several phase II studies have demonstrated that psilocybin-assisted therapy shows therapeutic potential across a spectrum of neuropsychiatric conditions, including major depressive disorder (MDD). However, the mechanisms underlying its often persisting beneficial effects remain unclear. Observational research suggests that improvements in psychological flexibility may mediate therapeutic effects. However, no psychedelic trials to date have substantiated this finding in a clinical sample. In an exploratory placebo-controlled, within-subject, fixed-order study, individuals with moderate to severe MDD were administered placebo (n = 19) followed by psilocybin (0.3 mg/kg) (n = 15) 4 weeks later. Dosing sessions were embedded within a manualized psychotherapy that incorporated principles of Acceptance and Commitment Therapy. Depression severity, psychological flexibility, mindfulness, and values-congruent living were measured over a 16-weeks study period. Psychological flexibility, several facets of mindfulness, and values-congruent living significantly improved following psilocybin and were maintained through week 16. Additionally, improvements in psychological flexibility and experiential acceptance were strongly associated with reductions in depression severity following psilocybin. These findings support the theoretical premise of integrating psilocybin treatment with psychotherapeutic platforms that target psychological flexibility and add to emerging evidence that increasing psychological flexibility may be an important putative mechanism of change in psilocybin-assisted therapy for MDD and potentially, other mental health conditions.

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Introduction

In recent years, there has been a revitalization of interest in the therapeutic potential of psychedelic substances for a variety of neuropsychiatric and behavioral health conditions 1 , 2 . Psilocybin, a naturally occurring alkaloid found in the Psilocybe genus of mushrooms, is categorized as a “classical psychedelic” compound along with lysergic acid diethylamide (LSD), dimethyltryptamine (DMT), and others. These drugs produce a range of acute perceptual and mood alterations in humans presumably through agonism of brain serotonin 5HT-2A receptors 3 , 4 .

In the past decade, a number of early phase trials have suggested that psilocybin-assisted therapy (i.e., embedding psilocybin dosing sessions within a framework of psychological support or psychotherapy) may have rapid acting and persisting therapeutic effects across a number of mental health conditions, including depression, anxiety, and substance use disorders 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 . These beneficial effects have been reported after just one or two doses of psilocybin, and in some cases, may persist up to 1–4.5 years post-administration 15 , 16 .

However, the mechanisms by which psilocybin-assisted therapy may produce both rapid and sustained antidepressant effects remain unclear. A number of neurobiological, psychological, cognitive/behavioral and spiritual mechanisms have been proposed to explain psilocybin-assisted therapy’s rapid and sustained antidepressant effects. For instance, certain psilocybin treatment studies have found that positive clinical outcomes were correlated with or partially-mediated by mystical-type subjective experiences 12 , 13 , 14 , 17 , 18 or alterations in neuroplasticity 19 . Other potential psychological and cognitive/behavioral mechanisms include increased psychological flexibility and experiential acceptance 20 , 21 , 22 , increased connectedness 23 , 24 , relaxation and revision of high-level beliefs 25 , 26 , and emotional breakthrough 27 .

Given that multiple potential mechanisms may contribute to the therapeutic effects of psilocybin-assisted therapy, it remains unclear which psychotherapeutic models and approaches are optimal. Some studies have employed non-specific supportive psychotherapeutic models while others have incorporated elements of evidence-based, condition-specific therapies. In developing a therapeutic approach for an exploratory clinical trial of psilocybin-assisted therapy for major depression, our group sought an evidence-based therapy that would be synergistic with the subjective effects of psilocybin and offer a structure for the preparation and integration psychotherapy sessions. After evaluating a range of potential therapies, we selected Acceptance and Commitment Therapy (ACT) given conceptual and phenomenological overlaps between ACT and psilocybin-assisted therapy 20 .

Within Acceptance and Commitment Therapy, psychological flexibility is conceptualized as the central organizing principle underlying mental well-being and therapeutic change 28 . Psychological flexibility is a multifaceted construct composed of: (a) openness to experience (experiential acceptance); (b) behavioral awareness (i.e., mindful attention to the present moment); and (c) values-driven action 29 . In line with this model, global psychological inflexibility and several of its subcomponents (most notably experiential avoidance) have been linked with depression severity (for reviews, see 30 , 31 ) and improvement in these measures linked with clinical improvement following ACT 32 , 33 , 34 , 35 .

Psychedelics and psychological flexibility

A growing body of research suggests that psychedelic therapy may increase psychological flexibility and lead to therapeutic benefits via these changes. Several cross-sectional and observational studies have found that use of a classic psychedelic is associated with subsequent increases in psychological flexibility 21 , 36 , 37 , 38 . Furthermore, following classic psychedelic use, increases in psychological flexibility have been found to be associated with improvements in mental health, including depressive symptoms 22 , 36 , anxious/depressive symptoms 21 , positive and negative affect 37 , and grief 38 . These findings suggest that psychological flexibility may be a transdiagnostic mechanism contributing to the positive effects of psychedelics. Importantly, research has not yet examined the effect of psilocybin-assisted therapy on psychological flexibility (or the effect of any psychedelic on psychological flexibility) within a clinical sample. Furthermore, no clinical trials to date have examined the association between increases in psychological flexibility and improvements in depressive symptoms following psilocybin-assisted therapy.

Mindfulness (defined as awareness and acceptance of one’s inner experiences) 39 is closely related to several components of psychological flexibility, including behavioral awareness and experiential acceptance 29 , 40 . In a sample with MDD, a recent randomized controlled trial found that, relative to escitalopram, psilocybin-assisted therapy led to greater increases in experiential acceptance 5 . Furthermore, within this trial, increases in experiential acceptance following psilocybin-assisted therapy predicted improvements in depression severity, anxiety, suicidal ideation, and well-being 41 . Within non-clinical samples, several studies have observed increases in facets of mindfulness (most consistently the facets of experiential acceptance/non-judgmental awareness) following use/administration of classic psychedelics 22 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , including psilocybin 50 , 51 , 52 (for a review, see 53 ). Furthermore, in observational studies, increases in non-judgment of inner experience (closely related to experiential acceptance) following psilocybin were associated with reductions in anxiety 50 . However, no clinical trials have examined the effect of psilocybin-assisted therapy on mindfulness or its association with treatment outcomes.

Several naturalistic studies have found that classic psychedelic use is associated with changes in values. Among individuals that reported decreases in smoking following classic psychedelic use, participants attributed changes in life priorities/values as the primary psychological factor that contributed to this behavior change 54 . Research has also found that administration of psilocybin alongside support for spiritual practice is associated with increases in valuing of tradition 55 . However, the effect of classic psychedelics on values has not yet been examined in the context of a psychedelic clinical trial or within a clinical sample.

In sum, psychological flexibility is a promising putative transdiagnostic mechanism underlying psychotherapeutic interventions and potentially, the beneficial effects of psychedelic therapy. However, to date, research has not examined the effect of psilocybin-assisted therapy on (a) psychological flexibility; (b) mindfulness; or (c) values within a clinical trial. Furthermore, clinical research has not yet examined whether psilocybin-assisted therapy leads to improvements in depression severity via its effects on psychological flexibility. Finally, research has not yet evaluated the effect of psilocybin on psychological flexibility when psilocybin is combined with a therapeutic intervention specifically designed to increase psychological flexibility. Therefore, using data from a recent clinical trial of psilocybin-assisted therapy that used ACT as a therapeutic frame (for primary clinical outcomes, see 11 ), we examined (1) the effects of psilocybin-assisted therapy on (a) psychological flexibility/experiential acceptance, (b) mindfulness, and (c) values-congruent living, as well as (2) the association between changes in psychological flexibility/experiential acceptance and reductions in depression severity.

This study was conducted with approvals from the Institutional Review Boards of the VA Connecticut Healthcare System and Yale University, under a US Food and Drug Administration-approved Investigational New Drug application (D’Souza# IND #124,874), under a schedule 1 license from the US Drug Enforcement Agency (DEA) and was registered on clinicaltrials.gov on 13/06/2018 (NCT03554174). The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

Study design

The parent study from which the data presented here was derived utilized a placebo-controlled, within-subject, fixed-order design with enhanced blinding procedures. This study was designed primarily to investigate psilocybin’s effects on an electrophysiological biomarker of neuroplasticity (see 19 ), rather than to demonstrate changes in clinical or behavioral outcomes. The within-subject design was selected to increase the statistical power of the study and maximize feasibility, as each participant serves as their own control. Given that psilocybin can produce strong acute subjective and long-lasting antidepressant effects, the study had a fixed-order design of placebo first, followed by psilocybin, in order to limit functional unblinding and minimize potential carryover effects. The two dosing sessions were conducted approximately four weeks apart and were embedded within an eight-session psychotherapy protocol (see Fig.  1 for study design). Participants were assessed for a total of 16 weeks. For a full discussion of blinding procedures, the psychotherapy protocol, and outcomes related to depression, anxiety and quality of life, see 11 .

Study design and flow.

Study participants

Inclusion criteria included: (1) 18–65 years old; (2) Meet DSM-5 criteria for Major Depressive Disorder (MDD) by Structured Clinical Interview for DSM-5 (SCID-5-CT) 56 ; (3) current moderate to severe major depressive episode of at least six weeks duration prior to screening, defined by a score ≥ 17 on the GRID-HAM-D-17 57 , 58 ; (4) failed at least one adequate antidepressant trial (at least 6 weeks on a therapeutic dose) during the current depressive episode. Since medications commonly used in this population (e.g., serotonergic antidepressants) can interfere with the effects of psilocybin 59 , participants were required to be off any conventional antidepressant or antipsychotic medications for at least 2 weeks prior to study enrollment (or four weeks for fluoxetine). Exclusion criteria included: (1) primary psychiatric diagnosis other than MDD; (2) active substance use disorders; (3) past personal or family history of psychotic or bipolar disorder; (4) significant or unstable medical or neurological disease; (5) psilocybin exposure within the past year. For detailed inclusion/exclusion criteria see 11 .

Recruitment and screening procedures

Participants were recruited primarily through online postings, including clinicaltrials.gov, clinician referrals and word of mouth. Interested candidates were prescreened by telephone and if eligible, underwent an in-depth screening process. This included a structured psychiatric assessment (SCID-5-CT), psychiatric history and evaluation, and medical screening. Informed consent was obtained from all study participants. Recruitment began in fall of 2018 and concluded in spring 2021.

Interventions

All dosing sessions were conducted at the VA Connecticut Healthcare System, West Haven, CT, USA. At the first dosing session, participants received placebo (microcrystalline cellulose) in an opaque capsule, while during the second session they received an identical capsule containing psilocybin (0.3 mg/kg, maximum dose 35 mg). While lower than the 30 mg/70 kg protocol for which safety has been demonstrated, this dose is sufficient for producing psychedelic effects 60 . Psilocybin was obtained from the University of Wisconsin and the Usona Institute. For detailed descriptions of drug administration sessions and procedures used to enhance blinding and minimize expectancy effects, see 11 .

Psychotherapeutic support

Participants were assigned a study therapist and psychiatrist for the entire duration of the study. An equivalent number and type of therapy sessions were provided before and after each of the two dosing sessions during the period of primary outcome collection (through week 6): A two-hour long preparatory psychotherapy/psychoeducation session preceded each dosing session, while two one-hour long debriefing/integration psychotherapy sessions were conducted 1 day and 1 week after each dosing session. Following collection of the final primary outcome measures at week 6, participants had two additional integration sessions to help sustain any initial clinical improvements. A delineated therapeutic framework and therapy manual was used to improve consistency in therapeutic approach across participants and between study therapists. This therapy protocol incorporated principles and elements of Acceptance and Commitment Therapy (ACT) (see 11 for complete therapy manual). The rationale for including a specific psychotherapy and selecting ACT, the basic structure of the treatment model, and limitations to this approach, are described in detail separately 20 .

Outcome measures

Psychological flexibility was assessed using the Acceptance and Action Questionnaire-II (AAQ-II) 61 . Mindfulness was assessed using the Kentucky Inventory of Mindfulness Skills (KIMS) 62 , which includes the following scales: (a) Observe; (b) Describe; (c) Awareness; and (d) Accept Without Judgment. The degree to which participants are living in accordance with their values (values-congruent living) was measured with the Valued Living Questionnaire (VLQ) 63 . The AAQ-II, KIMS and VLQ were collected at baseline, week 2 (2 weeks after placebo), week 6 (2 weeks after psilocybin), and week 16 (3 months after psilocybin). Depression symptoms were assessed using the Quick Inventory of Depressive Symptomatology–Self-Report (QIDS-SR-16) 64 , which was collected throughout the study, from baseline (day before placebo) through week 16. Adverse events were monitored and recorded throughout the trial. Vital signs were monitored throughout each dosing session. For safety data along with other clinical and subjective measures collected, see 11 .

Statistical analysis

The parent study from which data presented here was derived was powered primarily to investigate an electrophysiological biomarker of neuroplasticity rather than to demonstrate changes in clinical or behavioral outcomes. Data analysis was conducted on participants who completed at least one dosing session (ITT population). Data was analyzed using linear mixed models. Analysis of clinical outcomes through week 16 utilized time as a within-subjects factor. In order to explore the relationship between changes in depressive symptoms (QIDS-SR-16) and both (a) psychological flexibility (AAQ-II) and (b) Accept Without Judgment (KIMS), we conducted Spearman correlations between changes in these variables from before to 2 weeks after each dose. While the parent study also measured depression symptoms using the GRID-HAM-D-17, correlations in this substudy used the QIDS-SR-16 due to more available data points. Given the exploratory nature of the study and small sample size, all statistical tests were conducted using a two-tailed alpha threshold of 0.05, with no adjustments for multiple testing. All tests were performed using SAS, version 9.4 (SAS Institute Inc).

Of 949 individuals assessed for eligibility, 42 (4.4%) were screened in-person, and 22 (2.3%) were ultimately enrolled. 19 participants completed at least one dosing session, of which 15 completed both dosing sessions. Participant demographics and baseline clinical characteristics are presented in Table 1 . The primary clinical outcomes related to depression, as well as anxiety and quality of life have been reported separately (see 11 ).

Psychological flexibility

AAQ-II scores decreased over time (i.e., increased psychological flexibility) (F (3,35)  = 8.74, p  < 0.001) and were significantly lower following psilocybin administration compared to post-placebo (see Fig.  2 and Table 2 ). The significant reduction in AAQ-II scores was maintained through week 16.

Changes in psychological inflexibility and valued living. ( A ) Significant reductions in psychological inflexibility 2 weeks post-psilocybin relative to baseline and 2 weeks pre-psilocybin. ( B ) Significant increases in valued living at 2 weeks and 4 weeks post-psilocybin relative to baseline. Note. Statistical significance relative to baseline = * p  < .05, ** p  < .01, *** p  < .001. Statistical significance relative to previous time point =  ## p  < .01.

Values-congruent living

VLQ scores increased over time (i.e., improvement in values-congruent living) (F (3,36)  = 2.99, p  = 0.044) and were significantly increased 2 weeks following psilocybin administration compared to baseline but not compared to post-placebo (see Fig.  2 and Table 2 ). The increases in VLQ scores remained significant through week 16. Scores were not significantly improved following placebo.

Mindfulness

Time analyses were conducted for each of the 4 subscales of the KIMS (see Fig.  3 and Table 2 ). Significant increases (i.e., improvements) were observed on the Describe (F (3,36)  = 2.87, p  = 0.05) and Accept Without Judgment subscales (F (3,36)  = 3.38, p  = 0.029). Describe and Accept Without Judgment were significantly increased 2 weeks following psilocybin administration compared to baseline but not compared to post-placebo. The increased scores remained significant through week 16. Describe and Accept Without Judgment were not significantly improved following placebo. There were no significant changes in the Observe (F (3,36)  = 0.72, p  = 0.548) or Awareness (F (3,36)  = 2.02, p  = 0.129) scales.

Changes in mindfulness domains. ( A ) Significant increases in Acceptance Without Judgment at 2 weeks and 4 weeks post-psilocybin relative to baseline. ( B ) Significant increases in Awareness at 2 weeks post-psilocybin relative to baseline. ( C ) No significant changes in Observe. ( D ) Significant increases in Describe at 2 weeks and 4 weeks post-psilocybin relative to baseline. Note. Statistical significance relative to baseline = * p  < .05, ** p  < .01, *** p  < .001. Statistical significance relative to previous time point =  ## p  < .01.

Relationship between changes in depression symptoms and changes in psychological flexibility and accept without judgment

Depression scores (QIDS-SR-16) decreased from 1 day before (mean = 16.79, SE = 0.95) to 2 weeks after (mean = 11.74, SE = 1.49) placebo (Δ mean = 5.05, p  = 0.005). There was not a significant correlation between change in depression scores and change in either (a) psychological inflexibility (Spearman's rho = 0.30, p  = 0.295) or (b) Accept Without Judgment (Spearman's rho = -0.42, p  = 0.140) during this time period.

Depression scores decreased from 2 weeks before (mean = 11.71, SE = 1.49) to 2 weeks after (mean = 6.27, SE = 1.38) psilocybin (Δ mean = 5.47 , p  = 0.016). Reductions in depression scores were significantly associated with (a) decreases in psychological inflexibility (Spearman's rho = 0.88, p  < 0.001) and (b) increases in Accept Without Judgment (Spearman's rho = -0.64, p  = 0.014) during this time period (Fig.  4 ).

Association between post-psilocybin changes in depression severity and psychological inflexibility/Accept Without Judgment. ( A ) Significant positive association between reductions in psychological inflexibility and depression severity. ( B ) Significant negative association between increases in Acceptance Without Judgment inflexibility and reductions in depression severity.

This placebo-controlled, within-subject, fixed-order trial among participants with long-standing and predominantly treatment-resistant major depression documented significant and durable improvements in measures of psychological flexibility, mindfulness, and valued living following administration of both placebo and a moderate dose of psilocybin in combination with ACT-based psychotherapy. Improvements in psychological flexibility were significantly greater 2 weeks after psilocybin compared to 2 weeks after placebo and were maintained for 3 months after the psilocybin dosing session. Moreover, following psilocybin administration, improvements in measures of psychological flexibility (AAQ-II) and experiential acceptance (KIMS, Accept Without Judgment scale) were significantly correlated with reductions in depression severity.

The significant improvements in psychological flexibility observed post-psilocybin are in line with the aim of the study design to integrate psilocybin dosing sessions within a psychotherapeutic platform that specifically targets psychological flexibility. These results are consistent with previous naturalistic research indicating that classic psychedelic use is associated with improvements in psychological flexibility 21 , 36 , 65 and are the first to extend this finding to psilocybin or a clinical trial specifically. Given the significant improvement in psychological flexibility post-psilocybin compared to post-placebo, as well as the finding that values-congruent living and mindfulness domains only significantly improved following psilocybin dosing, our data suggests that the psilocybin dosing session had a significant impact on these psychological domains. In other words, the results suggest that improvements in psychological flexibility are likely not attributable exclusively to the ACT-based psychotherapeutic platform or placebo effects. However, carryover effects from the placebo phase of the study are a potential contributing factor given the within subject study design.

Additionally, significant increases were found over time for values-congruent living and in two domains of mindfulness (Acceptance Without Judgment and Describe). While these increases only became significant following psilocybin dosing, they were not significantly greater post-psilocybin compared to post-placebo. These results may be attributable to several factors, including the ACT-based therapeutic intervention itself being the cause of improvements in these domains, minimal power to detect psilocybin specific effects, and issues with the fixed-order design of the study (e.g. carryover effects, gains occurring in the early phase of treatment 66 ). Of note, no significant overall time effect was observed for the mindfulness domains of Observe and Awareness. These findings are in line with previous research that has found significant improvement in experiential acceptance following psilocybin-assisted therapy 5 and mindful non-judgment following the administration of psilocybin but no significant changes in other facets of mindfulness following the administration of psilocybin 50 .

The significant associations between reductions in depression severity and increases in psychological flexibility and experiential acceptance support the notion that changes in psychological flexibility and related concepts of mindfulness and acceptance may be important psychological mechanisms of change in psilocybin-assisted therapy of depression, and perhaps, other disorders. These findings are especially notable given that the parent clinical trial did not find a significant correlation between the strength of mystical-type experience during psilocybin dosing and reductions in depression 11 . While it is possible that a small sample size and limited variability in MEQ scores during psilocybin dosing contributed to the latter finding, it is also possible that there may be more essential acute experiences (e.g., psychological insight, emotional breakthrough) and post-acute changes (e.g., increases in psychological flexibility and experiential acceptance) that predict psilocybin treatment outcomes. It is important to note that the correlation between reductions in depression severity and increases in psychological flexibility do not necessarily imply causation and it is possible that improvements in depression also lead to greater psychological flexibility. Nonetheless, these findings are consistent with past survey-based, observational, and clinical research linking post-psychedelic increases in psychological flexibility 21 , 36 , 37 , 38 , 65 and experiential acceptance 22 , 41 with improvements in depression severity and a range of mental health outcomes.

Limitations and future directions

An important limitation of this within-subject study is the inability to fully disambiguate the relative contribution of each therapeutic intervention (placebo dosing, psilocybin dosing, and ACT-based psychotherapy) to the results observed. Because of this, as well as the possibility of carryover effects from the placebo phase, the persisting psychological changes observed following psilocybin dosing cannot be definitively attributed specifically to psilocybin. Moreover, given that we did not compare ACT-based therapy to another therapeutic approach, it is unclear if similar results would have been observed if the therapists had used a non-ACT-based model (e.g. psychological support) to guide preparation and integration. Future studies may attempt to compare the relative efficacy of different therapeutic modalities or the amount of psychotherapeutic support provided.

Furthermore, findings from the present study cannot firmly establish a causal effect of psilocybin therapy on psychological flexibility (for further discussion, see 67 ). Additional research remains necessary to elucidate the potential mechanistic role of psychological flexibility within psilocybin therapy. For instance, intensive longitudinal designs (e.g., the use of ecological momentary assessment) may help to further elucidate the temporal relationship between changes in psychological flexibility and depressive symptoms. Similarly, dose–response studies with variable dosages of psilocybin and amounts of psychotherapy may also help to establish the gradient of the relationship between psychological flexibility and depressive symptoms within psilocybin therapy. Future research examining the effects of psilocybin-assisted therapy on psychological flexibility (and its subdomains) should also include alternative measures of psychological flexibility (e.g., the Multidimensional Psychological Flexibility Inventory 68 ), given significant concerns regarding the validity of the AAQ-II as a measure of psychological flexibility 69 , 70 , including its overlap with measures of distress and its single factor measurement of psychological flexibility.

Finally, findings from the present study should be interpreted in light of difficulties with blinding and the likely contribution of expectancy effects (for in depth discussion, see 11 , 71 ). This issue remains ubiquitous across psychedelic research 72 and is likely a problem more broadly within psychiatry (e.g., see 73 ).

In conclusion, this placebo-controlled, within-subject, fixed-order trial of psilocybin-assisted therapy for MDD demonstrated significant improvements in psychological flexibility, several facets of mindfulness (accept without judgment and describe, but not observe and awareness) and values-congruent living. Improvements in psychological flexibility (but not mindfulness or values-congruent living) were greater post-psilocybin compared to post-placebo. Additionally, improvements in psychological flexibility and experiential acceptance were strongly associated with reductions in depression severity. These findings support the theoretical premise of integrating psilocybin dosing sessions with psychotherapeutic platforms that target psychological flexibility and add to the emerging evidence that psychological flexibility may be an important putative mechanism of change in psilocybin-assisted therapy for MDD and potentially, other mental health conditions.

Data availability

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

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Acknowledgements

We are grateful to: the Heffter Research Institute who advised on study design and funded the study with the aid of Carey and Claudia Turnbull; Nicholas Cozzi and the Usona Institute for providing psilocybin; Angelina Genovese, Elizabeth O’Donnell, Margaret Dion-Marovitz (Research Nurses) of the Neurobiological Studies Unit, VA Connecticut Healthcare System; the Research Pharmacy, VA Connecticut Healthcare System; Christina Luddy and all research assistants who contributed effort to the study; Ryan Wallace for assistance writing the study protocol; and Anne Dutton, Stephanie Kilpatrick, Robert Krause, John Cline, and Gabrielle Agin-Liebes for serving as study therapists.

This work was supported by the Heffter Research Institute.

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Contributions

J.S. and D.C.D. oversaw the overall design and conduct of the study. J.S. and R.J.Z. wrote the main manuscript text and prepared the figures and tables. R.K. and J.G. assisted with study design and development of the psychotherapy protocol. S.P. and H.S.A. were responsible for data collection. B.P. and R.J.Z. analyzed the study data. All authors reviewed the manuscript.

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DCD receives research funding administered through Yale University from the US National Institute of Health, US Dept. of Veteran Affairs, Takeda, Biogen, Boehringer Ingelheim, Ceruvia, Heffter Institute and Wallace Foundation. DCD has served as a paid consultant to Jazz Pharmaceuticals, Biohaven and Abide. JS serves has served as a paid consultant to the Usona Institute and Cybin. RJZ is a postdoctoral fellow in the NYU Langone Psychedelic Medicine Research Training program funded by MindMed. No other potential conflicts of interest relevant to this article were reported.

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Sloshower, J., Zeifman, R.J., Guss, J. et al. Psychological flexibility as a mechanism of change in psilocybin-assisted therapy for major depression: results from an exploratory placebo-controlled trial. Sci Rep 14 , 8833 (2024). https://doi.org/10.1038/s41598-024-58318-x

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Indigenous Knowledge and Experiential Learning: Notes from the 2024 Panama Field Study Semester

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The typical day to day for a student at McGill usually entails running across campus to reach your next class and reviewing your course material in the library. However, for students taking part in the the Panama field study semester, regional and rural landscapes of Panama become the "classroom" during their almost four month long learning experience. Offered as a joint venture between McGill University and the Smithsonian Tropical Research Institute, the Panama Field Study Semester gives McGill students from various disciplines the opportunity to take courses that specifically address Latin America social and tropical environmental issues while working alongside local communities. 

Daviken Studnicki-Gizbert, an Associate Professor in the Department of History and Classical Studies and Associate Member of the Bieler School of Environment, has been a member of the Field Study's teaching staff for the last 14 years and is now the program's director. As the  Winter 2024 semester comes to a close, I had the opportunity to discuss with Dr. Studnicki-Gizbert about some of the amazing features and unexpected facets of the field semester in Panama. 

The day-to-day schedule of the PFSS 

The field semester takes place over a period of four months. Students are required to take three courses, for a total of 9 credits that provide formal training, as well as hands-on experience in an internship setting. Students follow an ever-changing schedule, in which they cover different sites throughout Panama. 

"Due to it being a field semester, students do 3 classes in different disciplines and then they do an extensive research internship and then an integrative exercise with a community in Panama," says Studnicki-Gizbert.  "We do a lot of social and ecological monitoring with community members. One team may be doing water assessments with bugs in the river while others are doing interviews with community members so there’s a lot of participation." In this environment students are provided the opportunity to research something they are really passionate about.

“When you go from theory to application, whatever you plan may not work out," he adds. "Students learn a lot about adaptation, on how to get certain results. Expect that what you have planned is not going to work out. Failure is actually a good thing in some senses because in Panama things are not controlled, it is a time for students to learn how to try things.”  

Goals of the Program 

Participating in various fields is part of Dr. Studnicki-Gizbert's goal for the students of the program.

“My aim is to show by the end of this how a certain environmental issue plays out biologically, socially, economically and how they all link together," he says. "Due to the students coming in from various different disciplines we want to show them how other things work when dealing with an issue. For example, a Biology student will come in knowing a lot of the environmental perspectives from a biological point of view but we now want to tell them okay go out and look at this issue from a historical perspective. We are not trying to transform a biologist into a historian but have them acquire a basic competence of how other issues face a common issue.”

For Dr. Studnicki-Gizberts and his colleagues, having a multi-disciplinary approach is a skill that will be used outside of the field study. "It is the skill set you need to be effective as professionals or future researchers," he says. "You need to know how things work from a multitude of different angles.”    

By applying this skill set, students are able to get a first hand understanding of how neo-tropical environments work. At the end of the field study,  students participate in a symposium, presenting their findings to a group of professionals and community members of the environment. Notably, language becomes a main aspect of the experience throughout the field study whether that be conversing with locals or presenting at the symposium Spanish. Students involved come with at least a basic fluency of Spanish, the field semester providing the students with a way to converse in the language while studying the environment.  

Indigeneity and PFSS 

"Indigenous knowledge plays a significant role in the knowledge exchange that occurs during the study, as students glean insights from diverse groups on seemingly basic yet complex concepts such as time," notes Dr. Studnicki-Gizbert.

He emphasizes the use of academic reflection journals to document students' learning from these interactions. 

"In the classroom, students receive theoretical interpretations of various cultural and knowledge frameworks, but there's a transformative moment when they witness these concepts in action," he adds. Thus the field study bridges the common gap between theory and life experience. Students get to live in the environment of different Indigenous groups and respect the ways in which they work with the environment in Panama. Primarily, students learn based off of what the local communities ask for, creating a dialogue between them. 

The Student Experience 

Shani Laskin, a third year student majoring in Environment and International Development with a Minor in Organismal Biology, is one of the students participating in the Winter 2024 Panama Field Study semester. An opportunity that she was hoping to participate in since her first year at McGil,  Shani speaks highly of the experience.

“I came in not knowing really what to expect," she says. "Before going on the field study I had just done beginner intensive Spanish the semester before and kinda threw myself into this amazing environment.”

“While I was not sure what to expect I had high expectations and they definitely have been met," she says. 

During the field study students live together in hostels as they move across Panama. “One of the biggest surprises was that we are a cohort of 22 and it actually works out,” says Shani. 

The environment provides the students with a great way to make new friends within similar fields of interest. Shani provides a firsthand insight into the opportunities and activities she has gotten to participate in during the field study. “Before this I had never taken a history or an agriculture course nor really experienced field work, but the environment along with the last month internship course really let me explore all that the field study has to offer," she adds. 

One of the most exciting aspects of the field study for Shani was the opportunity to work with a host organization.

“For the whole month of March, we were working with this organization called CIEPS, Centro Internacional de Estudios Políticos y Sociales," she says. "They have a project looking into food security across Panama, Guatemala and Nicaragua and we were working on the Panama section of the project specifically within a semi-autonomous Indigenous region of Panama.”  Shani got to interview and understand the experiences of the local communities in the region and the project allowed her to later write a report based off her findings. 

Ultimately, the field study from the student and professor perspective is a great way to apply theoretical knowledge in real-life situations. Notably, applications for the Winter2025 year are open until April 22, 2024. To learn more and possibly participate visit the PFSS website: https://www.mcgill.ca/pfss/   or the direct application requirement page: https://www.mcgill.ca/pfss/application . 

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Americans place a lot of importance on friendship. In fact, 61% of U.S. adults say having close friends is extremely or very important for people to live a fulfilling life, according to a recent Pew Research Center survey . This is far higher than the shares who say the same about being married (23%), having children (26%) or having a lot of money (24%).

Pew Research Center conducted this analysis to understand Americans’ views of and experiences with friendship. It is based on a survey of 5,057 U.S. adults conducted from July 17-23, 2023. Everyone who took part in this survey is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories.  Read more about the ATP’s methodology .

Here are the  questions used for the analysis , along with responses, and its methodology .

We decided to ask a few more questions to better understand how Americans are experiencing friendship today. Here’s what we found:  

Number of close friends

A narrow majority of adults (53%) say they have between one and four close friends, while a significant share (38%) say they have five or more. Some 8% say they have no close friends.

There’s an age divide in the number of close friends people have. About half of adults 65 and older (49%) say they have five or more close friends, compared with 40% of those 50 to 64, 34% of those 30 to 49 and 32% of those younger than 30. In turn, adults under 50 are more likely than their older counterparts to say they have between one and four close friends.

There are only modest differences in the number of close friendships men and women have. Half of men and 55% of women say they have between one and four close friends. And 40% of men and 36% of women say they have five or more close friends.

Gender of friends

Most adults (66%) say all or most of their close friends are the same gender as them. Women are more likely to say this than men (71% vs. 61%).

Among adults ages 50 and older, 74% of women – compared with 59% of men – say all or most of their close friends are the same gender as them. Among adults younger than 50, the difference is much smaller: 67% of women in this age group say this, as do 63% of men.

Race and ethnicity of friends

A majority of adults (63%) say all or most of their close friends are the same race or ethnicity as them – though this varies across racial and ethnic groups.

White adults (70%) are more likely than Black (62%), Hispanic (47%) and Asian adults (52%) to say this.

This also differs by age. Adults 65 and older are the most likely (70%) to say all or most of their close friends share their race or ethnicity, compared with 53% of adults under 30 – the lowest share among any age group.

Satisfaction with friendships

The majority of Americans with at least one close friend (72%) say they are either completely or very satisfied with the quality of their friendships. Those 50 and older are more likely than their younger counterparts to be highly satisfied with their friendships (77% vs. 67%).

The survey also finds that having more friends is linked to being more satisfied with those friendships. Some 81% of those with five or more close friends say they are completely or very satisfied with their friendships. By comparison, 65% of those with one to four close friends say the same.

The survey didn’t ask adults who reported having no close friends about their level of satisfaction with their friendships.

What do friends talk about?

Of the conversation topics asked about, the most common are work and family life. Among those with at least one close friend, 58% say work comes up in conversation extremely often or often, while 57% say family comes up this often. About half say the same about current events (48%).

There are differences by gender and age in the subjects that Americans discuss with their close friends:

Differences by gender

Women are much more likely than men to say they talk to their close friends about their family extremely often or often (67% vs. 47%).

Women also report talking about their physical health (41% vs. 31%) and mental health (31% vs. 15%) more often than men do with close friends. The gender gap on mental health is particularly wide among adults younger than 50: 43% of women in this age group, compared with 20% of men, say they often discuss this topic with close friends.

By smaller but still significant margins, women are also more likely than men to talk often about their work (61% vs. 54%) and pop culture (37% vs. 32%) with their close friends.

Men, in turn, are more likely than women to say they talk with their close friends about sports (37% vs. 13%) and current events (53% vs. 44%).

Differences by age

Those ages 65 and older (45%) are more likely than younger Americans to say they often talk with their close friends about their physical health.

There are two topics where young adults – those under 30 – stand out from other age groups.

About half of these young adults (52%) say they often talk with their friends about pop culture. This compares with about a third or fewer among older age groups. And young adults are more likely to say they often talk about their mental health with close friends: 37% say this, compared with 29% of those 30 to 49 and 14% of those 50 and older.

Note: Here are the  questions used for the analysis , along with responses, and its methodology .

• Family & Relationships
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Few East Asian adults believe women have an obligation to society to have children

Among parents with young adult children, some dads feel less connected to their kids than moms do, how teens and parents approach screen time, most east asian adults say men and women should share financial and caregiving duties, among young adults without children, men are more likely than women to say they want to be parents someday, most popular.

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