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Reporting Research Results in APA Style | Tips & Examples

Published on December 21, 2020 by Pritha Bhandari . Revised on January 17, 2024.

The results section of a quantitative research paper is where you summarize your data and report the findings of any relevant statistical analyses.

The APA manual provides rigorous guidelines for what to report in quantitative research papers in the fields of psychology, education, and other social sciences.

Use these standards to answer your research questions and report your data analyses in a complete and transparent way.

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Table of contents

What goes in your results section, introduce your data, summarize your data, report statistical results, presenting numbers effectively, what doesn’t belong in your results section, frequently asked questions about results in apa.

In APA style, the results section includes preliminary information about the participants and data, descriptive and inferential statistics, and the results of any exploratory analyses.

Include these in your results section:

• Participant flow and recruitment period. Report the number of participants at every stage of the study, as well as the dates when recruitment took place.
• Missing data . Identify the proportion of data that wasn’t included in your final analysis and state the reasons.
• Any adverse events. Make sure to report any unexpected events or side effects (for clinical studies).
• Descriptive statistics . Summarize the primary and secondary outcomes of the study.
• Inferential statistics , including confidence intervals and effect sizes. Address the primary and secondary research questions by reporting the detailed results of your main analyses.
• Results of subgroup or exploratory analyses, if applicable. Place detailed results in supplementary materials.

Write up the results in the past tense because you’re describing the outcomes of a completed research study.

Prevent plagiarism. Run a free check.

Before diving into your research findings, first describe the flow of participants at every stage of your study and whether any data were excluded from the final analysis.

Participant flow and recruitment period

It’s necessary to report any attrition, which is the decline in participants at every sequential stage of a study. That’s because an uneven number of participants across groups sometimes threatens internal validity and makes it difficult to compare groups. Be sure to also state all reasons for attrition.

If your study has multiple stages (e.g., pre-test, intervention, and post-test) and groups (e.g., experimental and control groups), a flow chart is the best way to report the number of participants in each group per stage and reasons for attrition.

Also report the dates for when you recruited participants or performed follow-up sessions.

Missing data

Another key issue is the completeness of your dataset. It’s necessary to report both the amount and reasons for data that was missing or excluded.

Data can become unusable due to equipment malfunctions, improper storage, unexpected events, participant ineligibility, and so on. For each case, state the reason why the data were unusable.

Some data points may be removed from the final analysis because they are outliers—but you must be able to justify how you decided what to exclude.

If you applied any techniques for overcoming or compensating for lost data, report those as well.

Adverse events

For clinical studies, report all events with serious consequences or any side effects that occured.

Descriptive statistics summarize your data for the reader. Present descriptive statistics for each primary, secondary, and subgroup analysis.

Don’t provide formulas or citations for commonly used statistics (e.g., standard deviation) – but do provide them for new or rare equations.

Descriptive statistics

The exact descriptive statistics that you report depends on the types of data in your study. Categorical variables can be reported using proportions, while quantitative data can be reported using means and standard deviations . For a large set of numbers, a table is the most effective presentation format.

Include sample sizes (overall and for each group) as well as appropriate measures of central tendency and variability for the outcomes in your results section. For every point estimate , add a clearly labelled measure of variability as well.

Be sure to note how you combined data to come up with variables of interest. For every variable of interest, explain how you operationalized it.

According to APA journal standards, it’s necessary to report all relevant hypothesis tests performed, estimates of effect sizes, and confidence intervals.

When reporting statistical results, you should first address primary research questions before moving onto secondary research questions and any exploratory or subgroup analyses.

Present the results of tests in the order that you performed them—report the outcomes of main tests before post-hoc tests, for example. Don’t leave out any relevant results, even if they don’t support your hypothesis.

Inferential statistics

For each statistical test performed, first restate the hypothesis , then state whether your hypothesis was supported and provide the outcomes that led you to that conclusion.

Report the following for each hypothesis test:

• the test statistic value,
• the degrees of freedom ,
• the exact p- value (unless it is less than 0.001),
• the magnitude and direction of the effect.

When reporting complex data analyses, such as factor analysis or multivariate analysis, present the models estimated in detail, and state the statistical software used. Make sure to report any violations of statistical assumptions or problems with estimation.

Effect sizes and confidence intervals

For each hypothesis test performed, you should present confidence intervals and estimates of effect sizes .

Confidence intervals are useful for showing the variability around point estimates. They should be included whenever you report population parameter estimates.

Effect sizes indicate how impactful the outcomes of a study are. But since they are estimates, it’s recommended that you also provide confidence intervals of effect sizes.

Subgroup or exploratory analyses

Briefly report the results of any other planned or exploratory analyses you performed. These may include subgroup analyses as well.

Subgroup analyses come with a high chance of false positive results, because performing a large number of comparison or correlation tests increases the chances of finding significant results.

If you find significant results in these analyses, make sure to appropriately report them as exploratory (rather than confirmatory) results to avoid overstating their importance.

While these analyses can be reported in less detail in the main text, you can provide the full analyses in supplementary materials.

To effectively present numbers, use a mix of text, tables , and figures where appropriate:

• To present three or fewer numbers, try a sentence ,
• To present between 4 and 20 numbers, try a table ,
• To present more than 20 numbers, try a figure .

Since these are general guidelines, use your own judgment and feedback from others for effective presentation of numbers.

Tables and figures should be numbered and have titles, along with relevant notes. Make sure to present data only once throughout the paper and refer to any tables and figures in the text.

Formatting statistics and numbers

It’s important to follow capitalization , italicization, and abbreviation rules when referring to statistics in your paper. There are specific format guidelines for reporting statistics in APA , as well as general rules about writing numbers .

If you are unsure of how to present specific symbols, look up the detailed APA guidelines or other papers in your field.

It’s important to provide a complete picture of your data analyses and outcomes in a concise way. For that reason, raw data and any interpretations of your results are not included in the results section.

It’s rarely appropriate to include raw data in your results section. Instead, you should always save the raw data securely and make them available and accessible to any other researchers who request them.

Making scientific research available to others is a key part of academic integrity and open science.

Interpretation or discussion of results

This belongs in your discussion section. Your results section is where you objectively report all relevant findings and leave them open for interpretation by readers.

While you should state whether the findings of statistical tests lend support to your hypotheses, refrain from forming conclusions to your research questions in the results section.

Explanation of how statistics tests work

For the sake of concise writing, you can safely assume that readers of your paper have professional knowledge of how statistical inferences work.

In an APA results section , you should generally report the following:

• Participant flow and recruitment period.
• Missing data and any adverse events.
• Descriptive statistics about your samples.
• Inferential statistics , including confidence intervals and effect sizes.
• Results of any subgroup or exploratory analyses, if applicable.

According to the APA guidelines, you should report enough detail on inferential statistics so that your readers understand your analyses.

• the test statistic value
• the degrees of freedom
• the exact p value (unless it is less than 0.001)
• the magnitude and direction of the effect

You should also present confidence intervals and estimates of effect sizes where relevant.

In APA style, statistics can be presented in the main text or as tables or figures . To decide how to present numbers, you can follow APA guidelines:

• To present three or fewer numbers, try a sentence,
• To present between 4 and 20 numbers, try a table,
• To present more than 20 numbers, try a figure.

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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Home » Research Results Section – Writing Guide and Examples

Research Results Section – Writing Guide and Examples

Table of Contents

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

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Guide to Writing the Results and Discussion Sections of a Scientific Article

A quality research paper has both the qualities of in-depth research and good writing ( Bordage, 2001 ). In addition, a research paper must be clear, concise, and effective when presenting the information in an organized structure with a logical manner ( Sandercock, 2013 ).

In this article, we will take a closer look at the results and discussion section. Composing each of these carefully with sufficient data and well-constructed arguments can help improve your paper overall.

The results section of your research paper contains a description about the main findings of your research, whereas the discussion section interprets the results for readers and provides the significance of the findings. The discussion should not repeat the results.

Let’s dive in a little deeper about how to properly, and clearly organize each part.

How to Organize the Results Section

Since your results follow your methods, you’ll want to provide information about what you discovered from the methods you used, such as your research data. In other words, what were the outcomes of the methods you used?

You may also include information about the measurement of your data, variables, treatments, and statistical analyses.

To start, organize your research data based on how important those are in relation to your research questions. This section should focus on showing major results that support or reject your research hypothesis. Include your least important data as supplemental materials when submitting to the journal.

The next step is to prioritize your research data based on importance – focusing heavily on the information that directly relates to your research questions using the subheadings.

The organization of the subheadings for the results section usually mirrors the methods section. It should follow a logical and chronological order.

Subheading organization

Subheadings within your results section are primarily going to detail major findings within each important experiment. And the first paragraph of your results section should be dedicated to your main findings (findings that answer your overall research question and lead to your conclusion) (Hofmann, 2013).

In the book “Writing in the Biological Sciences,” author Angelika Hofmann recommends you structure your results subsection paragraphs as follows:

• Experimental purpose
• Interpretation

Each subheading may contain a combination of ( Bahadoran, 2019 ; Hofmann, 2013, pg. 62-63):

• Text: to explain about the research data
• Figures: to display the research data and to show trends or relationships, for examples using graphs or gel pictures.
• Tables: to represent a large data and exact value

Decide on the best way to present your data — in the form of text, figures or tables (Hofmann, 2013).

Data or Results?

Sometimes we get confused about how to differentiate between data and results . Data are information (facts or numbers) that you collected from your research ( Bahadoran, 2019 ).

Whereas, results are the texts presenting the meaning of your research data ( Bahadoran, 2019 ).

One mistake that some authors often make is to use text to direct the reader to find a specific table or figure without further explanation. This can confuse readers when they interpret data completely different from what the authors had in mind. So, you should briefly explain your data to make your information clear for the readers.

Common Elements in Figures and Tables

Figures and tables present information about your research data visually. The use of these visual elements is necessary so readers can summarize, compare, and interpret large data at a glance. You can use graphs or figures to compare groups or patterns. Whereas, tables are ideal to present large quantities of data and exact values.

Several components are needed to create your figures and tables. These elements are important to sort your data based on groups (or treatments). It will be easier for the readers to see the similarities and differences among the groups.

When presenting your research data in the form of figures and tables, organize your data based on the steps of the research leading you into a conclusion.

Common elements of the figures (Bahadoran, 2019):

• Figure number
• Figure title
• Figure legend (for example a brief title, experimental/statistical information, or definition of symbols).

Tables in the result section may contain several elements (Bahadoran, 2019):

• Table number
• Table title
• Row headings (for example groups)
• Column headings
• Row subheadings (for example categories or groups)
• Column subheadings (for example categories or variables)
• Footnotes (for example statistical analyses)

Tips to Write the Results Section

• Direct the reader to the research data and explain the meaning of the data.
• Avoid using a repetitive sentence structure to explain a new set of data.
• Write and highlight important findings in your results.
• Use the same order as the subheadings of the methods section.
• Match the results with the research questions from the introduction. Your results should answer your research questions.
• Be sure to mention the figures and tables in the body of your text.
• Make sure there is no mismatch between the table number or the figure number in text and in figure/tables.
• Only present data that support the significance of your study. You can provide additional data in tables and figures as supplementary material.

How to Organize the Discussion Section

It’s not enough to use figures and tables in your results section to convince your readers about the importance of your findings. You need to support your results section by providing more explanation in the discussion section about what you found.

In the discussion section, based on your findings, you defend the answers to your research questions and create arguments to support your conclusions.

Below is a list of questions to guide you when organizing the structure of your discussion section ( Viera et al ., 2018 ):

• What experiments did you conduct and what were the results?
• What do the results mean?
• What were the important results from your study?
• How did the results answer your research questions?
• Did your results support your hypothesis or reject your hypothesis?
• What are the variables or factors that might affect your results?
• What were the strengths and limitations of your study?
• What other published works support your findings?
• What other published works contradict your findings?
• What possible factors might cause your findings different from other findings?
• What is the significance of your research?
• What are new research questions to explore based on your findings?

Organizing the Discussion Section

The structure of the discussion section may be different from one paper to another, but it commonly has a beginning, middle-, and end- to the section.

One way to organize the structure of the discussion section is by dividing it into three parts (Ghasemi, 2019):

• The beginning: The first sentence of the first paragraph should state the importance and the new findings of your research. The first paragraph may also include answers to your research questions mentioned in your introduction section.
• The middle: The middle should contain the interpretations of the results to defend your answers, the strength of the study, the limitations of the study, and an update literature review that validates your findings.
• The end: The end concludes the study and the significance of your research.

Another possible way to organize the discussion section was proposed by Michael Docherty in British Medical Journal: is by using this structure ( Docherty, 1999 ):

• Discussion of important findings
• Comparison of your results with other published works
• Include the strengths and limitations of the study
• Conclusion and possible implications of your study, including the significance of your study – address why and how is it meaningful
• Future research questions based on your findings

Finally, a last option is structuring your discussion this way (Hofmann, 2013, pg. 104):

• First Paragraph: Provide an interpretation based on your key findings. Then support your interpretation with evidence.
• Secondary results
• Limitations
• Unexpected findings
• Comparisons to previous publications
• Last Paragraph: The last paragraph should provide a summarization (conclusion) along with detailing the significance, implications and potential next steps.

Remember, at the heart of the discussion section is presenting an interpretation of your major findings.

Tips to Write the Discussion Section

• Highlight the significance of your findings
• Mention how the study will fill a gap in knowledge.
• Indicate the implication of your research.
• Avoid generalizing, misinterpreting your results, drawing a conclusion with no supportive findings from your results.

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Vieira, R. F., Lima, R. C. d., & Mizubuti, E. S. G. (2019). How to write the discussion section of a scientific article. Acta Scientiarum. Agronomy, 41.

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Writing a scientific paper.

• Writing a lab report
• INTRODUCTION

Writing a "good" results section

Figures and Captions in Lab Reports

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

Additional tips for results sections.

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

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

A short article by Dr. Brett Couch and Dr. Deena Wassenberg, Biology Program, University of Minnesota

• 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.

From:  https://writingcenter.gmu.edu/guides/imrad-results-discussion

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How to Write the Results Section: Guide to Structure and Key Points

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Table of Contents

The ‘ Results’ section of a research paper, like the ‘Introduction’ and other key parts, attracts significant attention from editors, reviewers, and readers. The reason lies in its critical role — that of revealing the key findings of a study and demonstrating how your research fills a knowledge gap in your field of study. Given its importance, crafting a clear and logically structured results section is essential.   

In this article, we will discuss the key elements of an effective results section and share strategies for making it concise and engaging. We hope this guide will help you quickly grasp ways of writing the results section, avoid common pitfalls, and make your writing process more efficient and effective.  

Structure of the results section  

Briefly restate the research topic in the introduction : Although the main purpose of the  results section  in a research paper is to list the notable findings of a study, it is customary to start with a brief repetition of the research question. This helps refocus the reader, allowing them to better appreciate the relevance of the findings. Additionally, restating the research question establishes a connection to the previous section of the paper, creating a smoother flow of information.  

Systematically present your research findings : Address the primary research question first, followed by the secondary research questions. If your research addresses multiple questions, mention the findings related to each one individually to ensure clarity and coherence.  

Represent your results visually: 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. As a rule of thumb, use a visual medium like a graph or a table if you wish to present three or more statistical values simultaneously.  

Graphical or tabular representations of data can also make your results section more visually appealing. Remember, an appealing and well-organized 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   

• Always use simple and plain language. Avoid the use of uncertain or unclear expressions.  
• The findings of the study must be expressed in an objective and unbiased manner.  While it is acceptable to correlate certain findings , it is best to avoid over-interpreting the results. In addition, avoid using subjective or emotional words , such as “interestingly” or “unfortunately”, to describe the results as this may cause readers to doubt the objectivity of the paper.  
• The content balances simplicity with comprehensiveness . For statistical data, simply describe the relevant tests and explain their results without mentioning raw data. If the study involves multiple hypotheses, describe the results for each one separately to avoid confusion and aid understanding. To enhance credibility, e nsure that negative results , if any, 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 highlight the results of your research paper. Mention these illustrations in the text, but do not repeat the information that they convey ¹ .  

Difference between data, results, and discussion sections  

Data ,  results,  and  discussion  sections all communicate the findings of a study, but each serves a distinct purpose with varying levels of interpretation.   

In the  results section , one cannot provide data without interpreting its relevance or make statements without citing data ² . In a sense, the  results section  does not draw connections between different data points. Therefore, there is a certain level of interpretation involved in drawing results out of data.

(The example is intended to showcase how the visual elements and text in the results section complement each other ³ . The academic viewpoints included in the illustrative screenshots should not be used as references.)  

The discussion section allows authors even more interpretive freedom compared to the results section. Here, data and patterns within the data are compared with the findings from other studies to make more generalized points. Unlike the results section , which focuses purely on factual data, the discussion section touches upon hypothetical information, drawing conjectures and suggesting future directions for research.  

The ‘ Results’ section serves as the core of a research paper, capturing readers’ attention and providing insights into the study’s essence. Regardless of the subject of your research paper, a well-written results section can generate interest in your research. By following the tips outlined here, you can create a results section that effectively communicates your finding and invites further exploration. Remember, clarity is the key, and with the right approach, your results section can guide readers through the intricacies of your research.  

Professionals at Elsevier Language Services know the secret to writing a well-balanced results section. With their expert suggestions, you can ensure that your findings come across clearly to the reader. To maximize your chances of publication, reach out to Elsevier Language Services today !  

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Reference  

• Cetin, S., & Hackam, D. J. (2005). An approach to the writing of a scientific manuscript. Journal of Surgical Research, 128(2), 165–167. https://doi.org/10.1016/j.jss.2005.07.002  
• Bahadoran, Z., Mirmiran, P., Zadeh-Vakili, A., Hosseinpanah, F., & Ghasemi, A. (2019). The Principles of Biomedical Scientific Writing: Results. International Journal of Endocrinology and Metabolism/International Journal of Endocrinology and Metabolism., In Press (In Press). https://doi.org/10.5812/ijem.92113  
• Guo, J., Wang, J., Zhang, P., Wen, P., Zhang, S., Dong, X., & Dong, J. (2024). TRIM6 promotes glioma malignant progression by enhancing FOXO3A ubiquitination and degradation. Translational Oncology, 46, 101999. https://doi.org/10.1016/j.tranon.2024.101999  

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Effective Use of Tables and Figures in Research Papers

Research papers are often based on copious amounts of data that can be summarized and easily read through tables and graphs. When writing a research paper , it is important for data to be presented to the reader in a visually appealing way. The data in figures and tables, however, should not be a repetition of the data found in the text. There are many ways of presenting data in tables and figures, governed by a few simple rules. An APA research paper and MLA research paper both require tables and figures, but the rules around them are different. When writing a research paper, the importance of tables and figures cannot be underestimated. How do you know if you need a table or figure? The rule of thumb is that if you cannot present your data in one or two sentences, then you need a table .

Using Tables

Tables are easily created using programs such as Excel. Tables and figures in scientific papers are wonderful ways of presenting data. Effective data presentation in research papers requires understanding your reader and the elements that comprise a table. Tables have several elements, including the legend, column titles, and body. As with academic writing, it is also just as important to structure tables so that readers can easily understand them. Tables that are disorganized or otherwise confusing will make the reader lose interest in your work.

• Title: Tables should have a clear, descriptive title, which functions as the “topic sentence” of the table. The titles can be lengthy or short, depending on the discipline.
• Column Titles: The goal of these title headings is to simplify the table. The reader’s attention moves from the title to the column title sequentially. A good set of column titles will allow the reader to quickly grasp what the table is about.
• Table Body: This is the main area of the table where numerical or textual data is located. Construct your table so that elements read from up to down, and not across.

Related: Done organizing your research data effectively in tables? Check out this post on tips for citing tables in your manuscript now!

The placement of figures and tables should be at the center of the page. It should be properly referenced and ordered in the number that it appears in the text. In addition, tables should be set apart from the text. Text wrapping should not be used. Sometimes, tables and figures are presented after the references in selected journals.

Using Figures

Figures can take many forms, such as bar graphs, frequency histograms, scatterplots, drawings, maps, etc. When using figures in a research paper, always think of your reader. What is the easiest figure for your reader to understand? How can you present the data in the simplest and most effective way? For instance, a photograph may be the best choice if you want your reader to understand spatial relationships.

• Figure Captions: Figures should be numbered and have descriptive titles or captions. The captions should be succinct enough to understand at the first glance. Captions are placed under the figure and are left justified.
• Image: Choose an image that is simple and easily understandable. Consider the size, resolution, and the image’s overall visual attractiveness.
• Additional Information: Illustrations in manuscripts are numbered separately from tables. Include any information that the reader needs to understand your figure, such as legends.

Common Errors in Research Papers

Effective data presentation in research papers requires understanding the common errors that make data presentation ineffective. These common mistakes include using the wrong type of figure for the data. For instance, using a scatterplot instead of a bar graph for showing levels of hydration is a mistake. Another common mistake is that some authors tend to italicize the table number. Remember, only the table title should be italicized .  Another common mistake is failing to attribute the table. If the table/figure is from another source, simply put “ Note. Adapted from…” underneath the table. This should help avoid any issues with plagiarism.

Using tables and figures in research papers is essential for the paper’s readability. The reader is given a chance to understand data through visual content. When writing a research paper, these elements should be considered as part of good research writing. APA research papers, MLA research papers, and other manuscripts require visual content if the data is too complex or voluminous. The importance of tables and graphs is underscored by the main purpose of writing, and that is to be understood.

Frequently Asked Questions

"Consider the following points when creating figures for research papers: Determine purpose: Clarify the message or information to be conveyed. Choose figure type: Select the appropriate type for data representation. Prepare and organize data: Collect and arrange accurate and relevant data. Select software: Use suitable software for figure creation and editing. Design figure: Focus on clarity, labeling, and visual elements. Create the figure: Plot data or generate the figure using the chosen software. Label and annotate: Clearly identify and explain all elements in the figure. Review and revise: Verify accuracy, coherence, and alignment with the paper. Format and export: Adjust format to meet publication guidelines and export as suitable file."

"To create tables for a research paper, follow these steps: 1) Determine the purpose and information to be conveyed. 2) Plan the layout, including rows, columns, and headings. 3) Use spreadsheet software like Excel to design and format the table. 4) Input accurate data into cells, aligning it logically. 5) Include column and row headers for context. 6) Format the table for readability using consistent styles. 7) Add a descriptive title and caption to summarize and provide context. 8) Number and reference the table in the paper. 9) Review and revise for accuracy and clarity before finalizing."

"Including figures in a research paper enhances clarity and visual appeal. Follow these steps: Determine the need for figures based on data trends or to explain complex processes. Choose the right type of figure, such as graphs, charts, or images, to convey your message effectively. Create or obtain the figure, properly citing the source if needed. Number and caption each figure, providing concise and informative descriptions. Place figures logically in the paper and reference them in the text. Format and label figures clearly for better understanding. Provide detailed figure captions to aid comprehension. Cite the source for non-original figures or images. Review and revise figures for accuracy and consistency."

"Research papers use various types of tables to present data: Descriptive tables: Summarize main data characteristics, often presenting demographic information. Frequency tables: Display distribution of categorical variables, showing counts or percentages in different categories. Cross-tabulation tables: Explore relationships between categorical variables by presenting joint frequencies or percentages. Summary statistics tables: Present key statistics (mean, standard deviation, etc.) for numerical variables. Comparative tables: Compare different groups or conditions, displaying key statistics side by side. Correlation or regression tables: Display results of statistical analyses, such as coefficients and p-values. Longitudinal or time-series tables: Show data collected over multiple time points with columns for periods and rows for variables/subjects. Data matrix tables: Present raw data or matrices, common in experimental psychology or biology. Label tables clearly, include titles, and use footnotes or captions for explanations."

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How to Write an Effective Results Section

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• 1 Rothman Orthopaedics Institute, Philadelphia, PA.
• PMID: 31145152
• DOI: 10.1097/BSD.0000000000000845

Developing a well-written research paper is an important step in completing a scientific study. This paper is where the principle investigator and co-authors report the purpose, methods, findings, and conclusions of the study. A key element of writing a research paper is to clearly and objectively report the study's findings in the Results section. The Results section is where the authors inform the readers about the findings from the statistical analysis of the data collected to operationalize the study hypothesis, optimally adding novel information to the collective knowledge on the subject matter. By utilizing clear, concise, and well-organized writing techniques and visual aids in the reporting of the data, the author is able to construct a case for the research question at hand even without interpreting the data.

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How to Present Results in a Research Paper

• First Online: 01 October 2023

Cite this chapter

• Aparna Mukherjee 4 ,
• Gunjan Kumar 4 &
• Rakesh Lodha 5  

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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 an APA Results Section

Verywell / Nusha Ashjaee 

What to Include in an APA Results Section

• Justify Claims
• Summarize Results

Report All Relevant Results

• Report Statistical Findings

Include Tables and Figures

What not to include in an apa results section.

Psychology papers generally follow a specific structure. One important section of a paper is known as the results section. An APA results section of a psychology paper summarizes the data that was collected and the statistical analyses that were performed. The goal of this section is to report the results of your study or experiment without any type of subjective interpretation.

At a Glance

The results section is a vital part of an APA paper that summarizes a study's findings and statistical analysis. This section often includes descriptive text, tables, and figures to help summarize the findings.

The focus is purely on summarizing and presenting the findings and should not include any interpretation, since you'll cover that in the subsequent discussion section.

This article covers how to write an APA results section, including what to include and what to avoid.

The results section is the third section of a psychology paper. It will appear after the introduction and methods sections and before the discussion section.

The results section should include:

• A summary of the research findings.
• Information about participant flow, recruitment , retention, and attrition. If some participants started the study and later left or failed to complete the study, then this should be described. 
• Information about any reasons why some data might have been excluded from the study. 
• Statistical information including samples sizes and statistical tests that were used. It should report standard deviations, p-values, and other measures of interest.

Results Should Justify Your Claims

Report data in order to sufficiently justify your conclusions. Since you'll be talking about your own interpretation of the results in the discussion section, you need to be sure that the information reported in the results section justifies your claims.

When you start writing your discussion section, you can then look back on your results to ensure that all the data you need are there to fully support your conclusions. Be sure not to make claims in your discussion section that are not supported by the findings described in your results section.

Summarize Your Results

Remember, you are summarizing the results of your psychological study, not reporting them in full detail. The results section should be a relatively brief overview of your findings, not a complete presentation of every single number and calculation.

If you choose, you can create a supplemental online archive where other researchers can access the raw data if they choose.

How long should a results section be?

The length of your results section will vary depending on the nature of your paper and the complexity of your research. In most cases, this will be the shortest section of your paper.

Just as the results section of your psychology paper should sufficiently justify your claims, it should also provide an accurate look at what you found in your study. Be sure to mention all relevant information.

Don't omit findings simply because they failed to support your predictions.

Your hypothesis may have expected more statistically significant results or your study didn't support your hypothesis , but that doesn't mean that the conclusions you reach are not useful. Provide data about what you found in your results section, then save your interpretation for what the results might mean in the discussion section.

While your study might not have supported your original predictions, your finding can provide important inspiration for future explorations into a topic.

How is the results section different from the discussion section?

The results section provides the results of your study or experiment . The goal of the section is to report what happened and the statistical analyses you performed. The discussion section is where you will examine what these results mean and whether they support or fail to support your hypothesis.

Report Your Statistical Findings

Always assume that your readers have a solid understanding of statistical concepts. There's no need to explain what a t-test is or how a one-way ANOVA works. Your responsibility is to report the results of your study, not to teach your readers how to analyze or interpret statistics.

Include Effect Sizes

The Publication Manual of the American Psychological Association recommends including effect sizes in your results section so that readers can appreciate the importance of your study's findings.

Your results section should include both text and illustrations. Presenting data in this way makes it easier for readers to quickly look at your results.

Structure your results section around tables or figures that summarize the results of your statistical analysis. In many cases, the easiest way to accomplish this is to first create your tables and figures and then organize them in a logical way. Next, write the summary text to support your illustrative materials.

Only include tables and figures if you are going to talk about them in the body text of your results section.

In addition to knowing what you should include in the results section of your psychology paper, it's also important to be aware of things that you should avoid putting in this section:

Cause-and-Effect Conclusions

Don't draw cause-effect conclusions. Avoid making any claims suggesting that your result "proves" that something is true. 

Interpretations

Present the data without editorializing it. Save your comments and interpretations for the discussion section of your paper. 

Statistics Without Context

Don't include statistics without narration. The results section should not be a numbers dump. Instead, you should sequentially narrate what these numbers mean.

Don't include the raw data in the results section. The results section should be a concise presentation of the results. If there is raw data that would be useful, include it in the appendix .

Don't only rely on descriptive text. Use tables and figures to present these findings when appropriate. This makes the results section easier to read and can convey a great deal of information quickly.

Repeated Data

Don't present the same data twice in your illustrative materials. If you have already presented some data in a table, don't present it again in a figure. If you have presented data in a figure, don't present it again in a table.

All of Your Findings

Don't feel like you have to include everything. If data is irrelevant to the research question, don't include it in the results section.

But Don't Skip Relevant Data

Don't leave out results because they don't support your claims. Even if your data does not support your hypothesis, including it in your findings is essential if it's relevant.

More Tips for Writing a Results Section

If you are struggling, there are a few things to remember that might help:

• Use the past tense . The results section should be written in the past tense.
• Be concise and objective . You will have the opportunity to give your own interpretations of the results in the discussion section.
• Use APA format . As you are writing your results section, keep a style guide on hand. The Publication Manual of the American Psychological Association is the official source for APA style .
• Visit your library . Read some journal articles that are on your topic. Pay attention to how the authors present the results of their research.
• Get a second opinion . If possible, take your paper to your school's writing lab for additional assistance.

What This Means For You

Remember, the results section of your paper is all about providing the data from your study. This section is often the shortest part of your paper, and in most cases, the most clinical.

Be sure not to include any subjective interpretation of the results. Simply relay the data in the most objective and straightforward way possible. You can then provide your own analysis of what these results mean in the discussion section of your paper.

Bavdekar SB, Chandak S. Results: Unraveling the findings . J Assoc Physicians India . 2015 Sep;63(9):44-6. PMID:27608866.

Snyder N, Foltz C, Lendner M, Vaccaro AR. How to write an effective results section .  Clin Spine Surg . 2019;32(7):295-296. doi:10.1097/BSD.0000000000000845

American Psychological Association.  Publication Manual of the American Psychological Association  (7th ed.). Washington DC: The American Psychological Association; 2019.

Purdue Online Writing Lab. APA sample paper: Experimental psychology .

Berkeley University. Reviewing test results .

Tuncel A, Atan A. How to clearly articulate results and construct tables and figures in a scientific paper ? Turk J Urol . 2013;39(Suppl 1):16-19. doi:10.5152/tud.2013.048

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Sample Tables

These sample tables illustrate how to set up tables in APA Style . When possible, use a canonical, or standard, format for a table rather than inventing your own format. The use of standard formats helps readers know where to look for information.

There are many ways to make a table, and the samples shown on this page represent only some of the possibilities. The samples show the following options:

• The sample factor analysis table shows how to include a copyright attribution in a table note when you have reprinted or adapted a copyrighted table from a scholarly work such as a journal article (the format of the copyright attribution will vary depending on the source of the table).
• The sample regression table shows how to include confidence intervals in separate columns; it is also possible to place confidence intervals in square brackets in a single column (an example of this is provided in the Publication Manual ).
• The sample qualitative table and the sample mixed methods table demonstrate how to use left alignment within the table body to improve readability when the table contains lots of text.

Use these links to go directly to the sample tables:

Sample demographic characteristics table

Sample results of several t tests table, sample correlation table, sample analysis of variance (anova) table, sample factor analysis table, sample regression table, sample qualitative table with variable descriptions, sample mixed methods table.

These sample tables are also available as a downloadable Word file (DOCX, 37KB) . For more sample tables, see the Publication Manual (7th ed.) as well as published articles in your field.

Sample tables are covered in the seventh edition APA Style manuals in the Publication Manual Section 7.21 and the Concise Guide Section 7.21

Related handout

• Student Paper Setup Guide (PDF, 3MB)

Sociodemographic Characteristics of Participants at Baseline

Note. N = 150 ( n = 50 for each condition). Participants were on average 39.5 years old ( SD = 10.1), and participant age did not differ by condition.

a Reflects the number and percentage of participants answering “yes” to this question.

Results of Curve-Fitting Analysis Examining the Time Course of Fixations to the Target

Note. For each subject, the logistic function was fit to target fixations separately. The maximum asymptote is the asymptotic degree of looking at the end of the time course of fixations. The crossover point is the point in time the function crosses the midway point between peak and baseline. The slope represents the rate of change in the function measured at the crossover. Mean parameter values for each of the analyses are shown for the 9-year-olds ( n = 24) and 16-year-olds ( n = 18), as well as the results of t tests (assuming unequal variance) comparing the parameter estimates between the two ages.

Descriptive Statistics and Correlations for Study Variables

Means, Standard Deviations, and One-Way Analyses of Variance in Psychological and Social Resources and Cognitive Appraisals

*** p < .001.

Results From a Factor Analysis of the Parental Care and Tenderness (PCAT) Questionnaire

Note. N = 307. The extraction method was principal axis factoring with an oblique (Promax with Kaiser Normalization) rotation. Factor loadings above .30 are in bold. Reverse-scored items are denoted with an (R). Adapted from “Individual Differences in Activation of the Parental Care Motivational System: Assessment, Prediction, and Implications,” by E. E. Buckels, A. T. Beall, M. K. Hofer, E. Y. Lin, Z. Zhou, and M. Schaller, 2015, Journal of Personality and Social Psychology , 108 (3), p. 501 ( https://doi.org/10.1037/pspp0000023 ). Copyright 2015 by the American Psychological Association.

Moderator Analysis: Types of Measurement and Study Year

Note . Number of studies = 120, number of effects = 782, total N = 52,578. CI = confidence interval; LL = lower limit; UL = upper limit.

Master Narrative Voices: Struggle and Success and Emancipation

Integrated Results Matrix for the Effect of Topic Familiarity on Reliance on Author Expertise

Note . We integrated quantitative data (whether students selected a card about nuclear power or about climate change) and qualitative data (interviews with students) to provide a more comprehensive description of students’ card selections between the two topics.

Results Section: Student Guidelines & Examples

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When students organize their scholarly papers, they need valid guidelines on how to write a results section of a research paper. In this case, a presented article offers critical insights, including a definition of a results section, its format, steps on how to write it, all the parts of a standard research paper and how this element differs from others, the information that should be included, and how to organize it correctly. A discussed guideline also teaches students specific differences between qualitative and quantitative research results sections, including examples and templates indicating how to present the main findings. In turn, an observed article provides recommendations with 8 dos and 8 don’ts of writing a results section, 20 tips that students should follow when organizing this part, and some examples of elements they can include in their research papers.

General Aspects

Students should read scholarly texts habitually to equip themselves with knowledge of specific requirements of high-standard papers. While these requirements are not similar for different types of papers , they have similar unique features. Basically, it is standard for writers of various types of essays to create a clear thesis statement that provides direction on a particular content and a well-organized outline that follows a correct essay structure and allows one to organize ideas logically. In turn, a presented guideline on how to write a results section provides insights into basic details students must address when writing this part, including all the other components of a research paper, the information essential to include, and its organization. Moreover, readers should view this article as an educational tool that empowers them to start writing a high-standard results section of a scientific research paper.

What Is a Results Section and Its Purpose

According to its definition, a results section of a research paper is a crucial component where study findings are presented in a clear, concise, and objective manner. Basically, the main purpose of writing a results section is to present the data collected and the outcomes of the analyses performed without any interpretation or bias (Carter et al., 2021). This section typically includes tables, figures, and descriptive text that detail key results, allowing readers to see the evidence that supports research hypotheses or questions. By systematically organizing and reporting the data, this part allows readers to assess a particular validity of study conclusions and an overall reliability of the data, serving as a valid foundation for a discussion section, where an actual significance of the findings is interpreted while broader implications are considered (Wallwork, 2022). In terms of pages and words, the length of a results section depends on academic levels, scopes of research, and assignment requirements, while general writing guidelines are:

High School

• Length: 1-2 pages
• Word Count: 250-500 words
• Length: 2-3 pages
• Word Count: 500-750 words

University (Undergraduate)

• Length: 2-6 pages
• Word Count: 500-1,500 words

Master’s

• Length: 3-8 pages
• Word Count: 750-2,000 words
• Length: 4-10+ pages
• Word Count: 1,000-2,500+ words

Note: Some sections can be added, deleted, or combined with each other, and such a writing depends on a particular purpose of the findings and their representations. Basically, a standard writing format of a results section includes an introduction, presentation of descriptive statistics, visual aids, such as tables and figures, detailed narrative descriptions of key findings, and a summary of significant outputs. For example, to structure a results section in a research paper, scholars start with a brief introduction, followed by presenting their descriptive data, visual aids, and statistical analyses, then detailing key findings in a narrative form, and ending with a summary of the most significant outputs (Carter et al., 2021). In this case, people should write their results section in the past tense, as they are describing what was found in their research papers. Moreover, a results section presents raw data and findings of a study objectively, while an analysis section interprets these findings, discussing their implications, significance, and relevance to research questions (Ross & Willson, 2018). In turn, to start a results section in a research paper, people begin by briefly summarizing a specific purpose of an obtained data and providing an overview of this information being presented.

Steps on How to Write a Results Section

To write a results section in a research paper, people present their findings clearly and objectively, using descriptive words, tables, and figures to highlight key data, and include statistical analyses to support their outputs without interpreting its implications, which are reserved for a discussion part.

• Begin With an Overview: Start by providing a brief overview of a specific purpose and scope of a results section.
• Organize by Research Questions or Hypotheses: Structure study findings around study questions or hypotheses to maintain a clear focus of writing.
• Present Descriptive Statistics: Provide basic descriptive statistics, such as means, medians, and standard deviations, to summarize an entire data.
• Include Visual Aids: Use tables, figures, and charts to visually represent a presented data, making it easier to understand trends and patterns.
• Report Inferential Statistics: Present outcomes of any inferential statistical tests, including p-values, confidence intervals, and effect sizes.
• Be Objective: Write about the findings without interpreting or drawing conclusions to maintain objectivity.
• Highlight Key Findings: Emphasize the most important outcomes that directly address research questions or hypotheses.
• Reference Visual Aids: Ensure all tables and figures are properly numbered and referenced within an entire paper’s text.
• Ensure Clarity and Precision: Write clearly and precisely, avoiding any ambiguous language or unnecessary jargon.
• Summarize Study Results: Conclude with a concise summary of the main outcomes to provide a clear take-home message for readers.

A research paper is unique because it has sections with varying writing details about a specific study topic. For example, these sections include an introduction, literature review, research methodology, results, discussion, and conclusion (Carter et al., 2021). In this respect, a research paper is a comprehensive document that requires students’ total focus and dedication. Writers should use each part to provide information for readers to understand a real essence and significance of research papers. Therefore, to write a quality results section, one must know how it differs from other scientific papers and the information it must provide for readers. In turn, students should focus on a particular uniqueness of each element because it underscores its relevance in a research paper.

1️⃣ Introduction

An introduction is a first section of a research paper. As a title suggests, it aims to introduce a reader to a specific study problem under analysis. In this respect, there are critical details writers must provide in this part, including a research problem, a background of an overall investigation, a significance of a particular study, and a research question or hypothesis (Wallwork, 2022). Typically, scientific paper topics indicate study problems students may use for writing their scholarly papers. In turn, a background information addresses existing research and some gaps writers intend to explore using bridge sentences in their current papers. Moreover, a real significance of a specific study must explain why a current scientific work is essential, and research question(s) or hypothesis(es) address what writers intend to prove through their papers, either answering questions or validating null and alternative hypotheses (Carter et al., 2021). Thus, an introduction section of a research paper gives readers basic information about a writer’s scientific work. In turn, before an introduction, students can include an abstract or executive summary part, which means an overall summary of a research paper, but this writing is optional.

2️⃣ Review of an Existing Literature

A literature review is a second section of a research paper that examines existing evidence relating to a particular research paper problem. Depending on a chosen topic, writing this section is robust because one must demonstrate an in-depth understanding of a researched issue under review (Wallwork, 2022). More importantly, students must convince readers that they have investigated the evidence and found a gap by reviewing credible sources that justify their studies. The most significant detail that students should focus on when writing this part is to examine numerous reliable sources, including books, peer-reviewed academic articles, and reports by government agencies, to cite information and statistics relevant to a specific scientific problem or theoretical framework (Wallwork, 2022). Such information is essential in revealing a particular knowledge gap that justifies writing a current scientific paper.

3️⃣ Research Methodology

Research methodology is a third section of a research paper and focuses on unique methods that students use to conduct their research works. For example, scholars should understand that a scholarly paper takes many writing forms or designs that determine a specific approach to take to execute their tasks (Carter et al., 2021). The two main designs are qualitative and quantitative studies, while research methods include descriptive, experimental, case study, and observation. Therefore, when writing this section, students must know they intend to give readers a roadmap for conducting their scientific papers. Essential details include study participants, how to identify them and their total number, how to collect data, and the data analysis procedure(s) for outputs (Noyes et al., 2019). In turn, a research design is the most important writing detail to consider because it determines all the other components of a methodology part. Besides, this section tends to be longer than an introduction.

4️⃣ Results Section

A results section is a fourth part of a research paper and is where students outline the findings of their scientific works. Typically, this section is shorter than a previous one because its writing purpose is to provide readers with the outcomes of a research paper. Moreover, a results chapter of a dissertation includes a particular presentation of the findings, supported by descriptive statistics, tables, figures, and detailed narratives, without interpretation or discussion of their implications (Carter et al., 2021). As a title suggests, presented details in this part should point to specific findings only. Therefore, a particular issue that makes this element unique is that writers do not provide details that contextualize their work but only those that indicate its outcomes. The information in this section underscores a specific purpose of writing a research paper, including its ultimate objective. In turn, some examples of sentence starters for beginning a results section are:

• A particular analysis of the collected data revealed several key findings, including … .
• Discussed outcomes indicate a significant correlation between discussed variables, particularly in terms of … .
• The data presented in Table 1 shows a notable difference in outcomes, which can be attributed to … .
• Results from an entire study demonstrate a clear trend in behavior, suggesting … .
• Obtained outcomes suggest a strong relationship between independent and dependent variables, as evidenced by … .
• Upon a particular examination of the data, it was found that there were significant variations in … .
• Statistical analysis confirmed an initial hypothesis, showing that … .
• Experimental results present a marked improvement in performance when … .
• Current research underlines several interesting patterns, particularly in a context of … .
• The observed information highlights an actual importance of a particular control group, as shown by differences in … .

5️⃣ Discussion

A fifth section of a research paper is a discussion part, where authors link the results with the literature review. To write a results and discussion section, people present their findings clearly with supporting data and statistical analysis, interpret them, discuss their implications, and compare them to previous research in a discussion part (Snyder et al., 2019). Ideally, the information in this writing part acts as a summary of a research paper that requires one to confirm that the findings are relevant to addressing a defined knowledge gap that writers expressed in an introduction and literature review. Typically, people show this linkage by indicating whether the outcomes have answered study question(s) or validated hypothesis(es). Other essential writing details are possible limitations of a research paper.

6️⃣ Conclusion

A conclusion is a last section of a research paper. Basically, writing a concluding paragraph reiterates a research question, how study findings impact an entire practice, such as nursing or psychology, and a particular need for conducting further studies to address unresolved questions (Wallwork, 2022). This last writing part summarizes a research paper and affects a reader’s perspective on a specific study problem.

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Providing the Right Information

A results section is about the findings of a research paper only. As such, students should not address anything that does not relate to the study question(s) or hypothesis(es). Typically, specific details in this section include data that writers present in tables, charts, graphs, or other visual figures as part of a paper’s text or separately on pages at the end of an entire document, such as acknowledgments or appendices (Carter et al., 2021). Another detail is a contextual analysis of a provided data to give readers a better understanding of how it relates to the study question(s) or hypothesis(es), expanding on the meaning of the information presented. In writing, further essential details in this part are data corresponding to the study question(s) or hypothesis(es) and secondary findings, including secondary outcomes and subgroup analyses (Carter et al., 2021). In turn, to deal with negative results, people present them objectively, discuss their potential causes, and highlight their significance or implications for future analysis. All these writing details make a results section unique because it is where readers need to understand a real essence of a scientific paper.

🔸 Study Results

While a results section’s primary purpose is to communicate specific findings of a research paper, students should know they cannot copy-paste raw information without writing a good explanation. For example, the information in this part must have a pattern demonstrating a logical organization of the findings (Ross & Willson, 2018). The best way to organize such findings is to use headings following a logical order of study questions or hypotheses and integrate data through charts, graphs, visuals, or tables thematically. In this respect, when writing a results section, auhtors must refer to an introduction part to ensure the information aligns with what they said. An important detail to note is that a graphical presentation of the outputs’ information is not sufficient. However, students must mention the data by writing statements that allow readers to understand how the results answer the research question(s) or validate or invalidate hypothesis(es) as a final outcome (Ross & Willson, 2018). Besides, figure and table captions are important because they provide essential context and explanations, allowing readers to understand a specific content and relevance of an observed visual information without referring back to a main paper’s text.

🔸 Figures, Charts, or Other Visuals

A logical presentation of data requires students to organize all data figures by numbering them and citing numbers in their paragraphs to link study findings to a research question or hypothesis. In writing, people need to choose a figure when they want to illustrate trends, patterns, or relationships in the data visually, and they opt for a table when they need to present precise numerical values or detailed information for comparison (Carter et al., 2021). A particular numbering format should follow a similar writing order in which an author mentions the data in a main paper’s text. One should also explain a methodology part that led to each figure. For example, students should capture the following writing details:

Figure 1: Racial/ethnic representation of health problems in the United States.

• Integrate the data into a main paper’s text by mentioning a specific percentage of Whites, Blacks, Latinx, and American Indians with diabetes and heart disease.
• Mention Figure 1 but not necessarily a title. For example, one can write: “Figure 1 shows a specific proportion of Whites and Blacks with heart disease is 55 percent and 48 percent, respectively.” With that statement, readers can look at this chart and read its title to make sense of a given sentence.
• Depending on a specific type of figure, writers can indicate a figure legend at the top. In an above example, it reads, “Diabetes and Heart Disease in America.”
• At the bottom of a figure (footnote), one should indicate a specific figure number followed by a caption that briefly describes this figure. In an above example, a given caption reads, “Racial/ethnic representation of health problems in the United States.”
• Writers must use labels to identify specific elements or features in a graph. In an above example, a horizontal axis uses percentages as labels indicating a specific proportion of Whites, Blacks, Latinx, and American Indians with diabetes and heart disease.

Like figures, tables capture data reflecting a results section of a research paper. However, they differ from charts in how they reflect the information. For example, their unique writing features include columns and rows, each with a subheading (Ross & Willson, 2018). In turn, an obtained data should be presented in figures and tables instead of directly in a main paper’s text when writing involves complex information, trends, or large datasets that are easier to understand visually or require precise comparison. The following writing example shows how students should use tables in a results section:

Table 1. Demographics of Whites in the United States for 2020 showing how obesity affects this population in the country. Young individuals are the most affected, with 38 percent presenting as obese, followed by adult females at 22 percent and then adult males at 18 percent. However, on average, the BMI index for all groups is below the obese level of 30.

• Writers should identify the data in a given table above by mentioning “Table 1” in a main paper’s text about specific demographics of Whites for 2020.
• Typically, most research papers use a footnote rather than a table title. While a title is necessary to enhance readers’ understanding, footnotes are more detailed in writing because they offer some analysis. In an above example, a particular footnote that follows a given caption below a table analyzes the information for a reader’s benefit.
• Typically, row headings capture groups, and column headings indicate demographical data. In an above example, a given row heading captures Whites as a racial group, while a provided column heading indicates group’s demographics. Writers should understand each row and each column should reflect one group and one demographical data, respectively.
• Sometimes, writers may have row subheadings to indicate group categories and column subheadings to capture variables for a better writing. In an above example, given row subheadings are youths, adult males, and adult females as group categories, while provided column subheadings indicate average BMI and obesity as demographic categories.
• Tables provide self-explanatory data to readers, and footnotes only attempt to make sense of it superficially. By looking at a specific table, people should comprehend the results without reading all the paper’s text.

Therefore, students should use figures and tables as focal points to communicate a clear and informative narrative about the findings of a research paper. In writing, authors should repeat every detail in a main paper’s text, although they must reference all data in a results section or other body paragraphs by pointing readers to “Table 1.”

Recommendations

When writing a great results section, students should know what to talk about or do and what not to talk about or not do. The things to do to demonstrate a high-standard outputs and those not to do can affect an overall section’s quality. From this perspective, students must habitually read research papers to familiarize themselves with 8 dos and 8 don’ts of writing a results section.

• Write in the past tense only . All study findings are what an author has established after conducting an actual study. A particular language that reflects this aspect is past tense. Common terminologies include ‘found,’ ‘established,’ and ‘confirmed.’ Using this language tells readers that an entire study has already happened and outcomes are clear, as such a text is represented through visuals, charts, graphs, figures, and tables.
• Write concisely. The findings require interpretation from statistical data to statistical analyses. Typically, this exercise involves complex language that may need to be clarified for readers. As such, students should write a results section clearly and concisely to avoid sending a wrong message to other scholars. As such, one must be clear about which finding relates to which study question or hypothesis.
• Referencing the study question(s) or hypothesis(es). A results section aims to answer the research question(s) or validate or invalidate the hypothesis(es). As such, students must refer to them (as applicable) when writing a results section. In turn, the best approach is to refer to them according to a particular order they appear in an introduction section for logical consistency.
• Begin with broad results. Typically, study findings of a research paper vary in how they answer the study question(s) or validate or invalidate the hypothesis(es). Some outputs are broad, requiring some comprehensive analysis, and others narrow, covering a brief mention. Students should begin writing with general results because they affect the scientific question(s) or hypothesis(es) more than narrow findings. However, they should mention narrow findings later in a main paper’s text because they are precise to a specific study question or hypothesis.
• Write the most critical findings from figures or tables. A primary purpose of figures and tables is to provide a broad picture of the results. However, only some details capture the most critical finding. In a table above, the most critical finding is a particular rate of obesity in the White community, specifically youths, adult males, and adult females. When referring to Table 1, a student should mention specific percentages of obesity prevalence in these groups as the most critical finding despite a given chart indicating other details, such as the BMI, which are central to this crucial output.
• Avoid background information and explanation of findings. Students should avoid explaining the results or providing any background information. At this part of a research paper, readers already understand a particular background of a given study because they have read introduction and literature review sections. Consequently, they expect an in-depth explanation of their outputs in a later discussion section.
• Do not capture raw data or intermediate calculations. Obtained findings in a results section should make sense to all readers. In writing, students should not provide raw data or indicate its intermediate calculations. A data analysis section that falls in a research methodology offers an unique opportunity for these writing exercises. Therefore, students should understand that this part should provide an answer to readers about the study question(s) or hypothesis(es), not leaving them with a boring task of analyzing the information to make a connection.
• Never ignore negative results. Authors of research papers probably have a biased interpretation of the results because they already have a preferred outcome. In writing, most students may be tempted to ignore negative results if they do not conform to their expectations or preferences. However, they must understand that a results section should reflect the findings of a research paper regardless of whether they are positive or negative in their eyes. This capture of the outputs makes any research paper scholarly and valid.
• Do not capture all data generated in a research paper. Writers need to understand that a primary purpose of writing a results section is to answer the study question(s) or validate or invalidate the hypothesis(es). Doing so does not require all the data, but what is relevant for this task. Moreover, research papers have limited length, and one cannot have room in a findings section to indicate all the data from the study experiment.
• Do not use text to describe everything. A main purpose of charts, figures, visuals, and tables is to capture and present data in a short summary. As such, they help writers to avoid explaining every piece of information and related detail because it may be complex and confusing to readers. Therefore, one should only describe or explain some things but use figures, visuals, and tables to present broad data.
• Do not repeat the data in figures and tables. When referring to figures, visuals, and tables in a main paper’s text, students should avoid repeating every piece of information but instead interpret it for readers. What is important in writing is the most critical data because it provides a clear and concise message about a research question or hypothesis. Therefore, students should interpret the data instead of repeating the same information as it is in the chart, visual, figure, or table. In an example of a table above, one should not repeat all the information but summarize writing by stating the group most affected by obesity and how.
• Do not jump around the data to discuss the findings. A logical presentation of data requires students to provide information that answers the research questions or hypotheses as they appear in an introduction. As such, one should avoid mentioning data relevant to one question when answering a different question. The same case should apply to hypotheses.
• Do not give long explanations. A results section should be short but clear and concise. In this respect, students should refrain from writing long explanations because they reduce a particular space for the most essential information: critical findings. The best writing approach to avoid long descriptions is to use figures, visuals, charts, and tables.
• Do not use meaningless numbers. While a results section aims to show data mostly in numbers for a quantitative study, students should avoid using every number they have if it is not meaningful to a research question or hypothesis. Therefore, after writing data analysis, one should decide on the most relevant and meaningful numbers to include in a results section.
• Do not cite other research papers. Since a main purpose of all outputs is to provide the findings of a research paper, one should avoid irrelevant details, including comparing the results to those of other scholarly paper. Students must understand that writing a discussion section gives them room to do so.
• Do not use the results of other authors. Writing any academic paper is designed for a specific purpose. In this case, students must do their own research papers and present unique findings section, including negative or positive ones. In writing, the findings of other authors can be used only for a comparison of the results.

Examples of a Results Section

The two primary research paper designs that scholars use for writing their scientific papers are qualitative and quantitative studies. Each design has a unique way of capturing the findings of a research paper (Noyes et al., 2019). The two examples below show how students should write a results section in qualitative and quantitative research papers. However, students must note a specific language and details, such as statistical data.

Example of a Qualitative Results Section

[Introductory context] A total of 98 respondents from different countries gave essential data by answering the survey questionnaire. The representation was as follows: 30 respondents were from the U.S. (30.6% of the total), 26 from China (26.5%), 22 from Russia (22.4%), and 20 from the United Kingdom (20.4%). […] [Important finding] According to the results, the most important cultural identifiers are language (w=0.3402), followed by ethnicity (w=0.2930) and religion (w=0.2279). Most respondents viewed gender as the most insignificant compared to the other three (w=0,1388) (Table 1). […] [Interesting Finding] An interesting finding is that the U.S. and the U.K. respondents considered sexual orientation as a determinant of a country’s cultural vibrancy, while those from China and Russia viewed it as an indicator of negative liberalism. All the respondents had a uniform consistency ratio (C.R.) of less than 0.08 (8%). [Another important finding] According to all the respondents, the three critical drivers of cultural vibrancy are technology (mean value of 4.88), education (4.60), contact with other cultures (4.40), and the media (4.30). Conversely, the factors that influence cultural assimilation the least, according to all the respondents, are cultural artifacts (2.88) and friendships (2.66) (Figure 1). […] [Summary of Key Findings] The findings indicate differences of opinion regarding some cultural topics and convergence of thought in others between countries from the respondents’ perspective. On differences, respondents from the U.S. and U.K. hold more liberal views than their Chinese and Russian counterparts. The point of convergence for all the respondents is the belief that culture is the most instrumental factor for interrogating the attitudes and behaviors of people .

[Introductory Context] The student data system for 2010 through 2020 was the source of the demographic data for the sample. The descriptive statistics include age, gender, grades, and course selection. Table 1 describes the cross-tabulation frequencies of the study sample. The mean age was 28.42 years, with a standard deviation of 8.22 years. The age range of the sample was from 18 to 50 years. [Relevant Finding] Overall, more students selected online than physical courses, with a uniform enrollment rate in online courses in both males and females; however, the proportion of males was high (62.7%) for online instruction than that of females (58.8%) as shown in Figures 1 and 2. […] [Significant Finding (including a significant test result)] A statistically significant difference in grades is reported between students enrolled in online classes and their counterparts in the traditional classroom setting. The mean and standard deviation for grades calculated by delivery type showed no significant difference between online and physical instruction. In contrast, those calculated by the instructor showed no significant difference in the mean grade. […] [Reference to Visual Data] Table 6 shows the impact of the delivery method and the instructor on students’ grades. […] The delivery method did not influence significant grade differences (F = 0.078, p = 0.780, df = 1, 811). The same case was reported for the instructor (F = 0.002, p = .967, df = 1, 811). The two factors had no significant interaction (F = 0.449, p = 0.503, df = 1, 811). [Relevant Finding] There is a statistically significant difference in student course retention between those taking online courses and their counterparts in physical classrooms (Supplementary Appendix Figure 1). Data were included for testing if a final grade was reported for a participant (Supplementary Appendix Figure 2). [Context to a Research Question or Hypothesis] The analysis of the contingency data was essential in confirming the hypothesis. Data organization indicates the row variable as course selection (online or physical classroom) and the column variable as retention in the course. [Explanation of a study Test] The chi-square testing (X2 = 2.524, p = .112, df = 1, 884) indicated no statistically significant difference between retention in online and physical classroom courses. [Significant Findings] The study includes a statistically significant difference in student retention between those who begin the program online and those who begin in the physical classroom. […] [Summary of Key Findings] Results from testing of H1 showed no significant difference between course grades for students enrolled in online courses and their counterparts in physical classroom courses. Chi-square testing of H2 indicated no significant difference in course retention between students taking online courses and those taking courses in the physical classroom environment. Chi-square testing of H3 indicated no significant difference in program retention between students who began the course online and those who began it in the physical classroom.

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Qualitative Results Template

• [Introductory Context]
• [Finding 1 – Important]
• [Finding 2 – Interesting]
• [Another Important Finding 3 that refers to a chart, figure, visual, or table]
• [Summary of key findings]

Quantitative Results Template

• [Finding 1 – Relevant]
• [Finding 2 – Significant –  with reference to a test result]
• [Reference to a chart, figure, visual, or table]
• [Finding 3 – Relevant]
• [Context to a Research Question or Hypothesis]
• [Explanation of a Study Test]
• [Finding 3 – Significant]

Looking at the two templates, it is evident that crucial writing details appear in all but some only in quantitative research. In both templates, students should introduce this section by stating some facts, such as a study sample, and enumerate the results, using charts, figures, visuals, or tables as necessary. However, only in a quantitative study, one should mention tests and their outcomes.

Qualitative vs. Quantitative Results Sections

There are areas of similarity and difference between the results sections of qualitative and quantitative research studies. The main similarities are that both types capture statistical data or reports and do not interpret the meanings of data with long explanations. However, there are many differences in presenting the content. Firstly, a qualitative results section emphasizes non-numerical, descriptive data, focusing on themes and ideas (Cristancho et al., 2021). In contrast, a quantitative results section highlights measurable (or quantifiable) numerical data relevant to interpreting trends, making predictions, running experiments, or testing hypotheses. Another difference is that a qualitative results section adopts descriptive and interpretive approaches to make sense of the collected data. On the other hand, a quantitative results section adopts numbers-based strategies, including statistics, calculations, and data measurements, to make sense of the collected information.

Research Questions and Hypotheses

When writing a results section, students must focus on the research question(s) or hypothesis(es) they stated in an introduction part because they underscore a paper’s importance or purpose. Regarding research questions, the data presented in this part must refer to specific questions as they appear in an introduction paragraph, giving outcomes that reflect answers to these queries. Concerning hypotheses, students should ensure a results section confirms or rejects them. In other words, a good results section should help readers to understand a specific scientific problem by answering the study question(s) or validating or invalidating the hypothesis(es). Therefore, when writing a results section, students should know they are answering a specific research question or confirming a study hypothesis. This determination is crucial because it must reflect proper language, concepts, and terms used in a main paper’s text.

Writing a high-standard results section of a research paper is a technical undertaking that requires students to grasp helpful insight. For example, the most common mistake beginner writers make in a results section is including interpretations and discussions of the data rather than strictly presenting study findings objectively (Carter et al., 2021). In writing, some of the useful tips include always using simple and clear language, avoiding irrelevant expressions, discussing the findings objectively without overinterpretation, using sub-sections if there are more study questions or hypotheses, including negative outputs even if they do not support a specific study hypothesis, providing visuals charts, figures, visuals, and tables to document the results, and mentioning the tests and their outcomes for a quantitative study.

10 things to do when writing a results section include:

• briefly and precisely summarizing the results at the beginning of the section;
• using visual illustrations, like charts, figures, and tables;
• arranging the outputs logically;
• linking the data to the research question(s) or hypothesis(es);
• following clear, simple, and concise language;
• being objective in writing;
• avoiding long explanations;
• including statistical analyses to make the data sensible to readers;
• providing the correct information for the right study question or hypothesis;
• presenting paragraphs that respond to different scientific questions or hypotheses.

10 things not to do when writing a results section include:

• using raw data;
• duplicating similar information by repeating the data in the visual illustrations within a paper’s main text;
• including repetitive background information;
• constantly referring to study methods while writing;
• overlooking negative findings that do not support biases or invalid claims;
• providing charts, figures, visuals, or tables excessively;
• explaining the outputs comprehensively;
• presenting a findings section of other research papers as writers’ study outcomes;
• failing to give graphs, figures, and tables a number;
• not mentioning a specific chart, figure, visual, or table number within a main paper’s text.

What to Include

Writing a results section of a research paper is crucial for presenting study outcomes in a clear and concise manner. Basically, this section should start with a brief introduction to a corresponding purpose of study findings and a methodology used to obtain the data. Then, presenting obtained outcomes should be done using a descriptive text and supported by tables, figures, and charts for clarity. Moreover, statistical analyses should be reported clearly, indicating significance levels and confidence intervals where appropriate. In writing, such a part of a research paper should focus solely on presenting information without interpretation, which is reserved for a discussion paragraph. Besides, proper organization and logical flow are essential, and visual aids should be numbered and referenced in an entire paper’s text. Finally, this writing approach ensures a results section is easily understandable and directly addresses research questions or hypotheses posed in a given study. In turn, some rules to remember include:

• Start writing a results section by restating a specific purpose of a research paper.
• Use the past tense to describe the paper’s findings.
• Avoid vague language.
• Provide a clear, coherent, and logical explanation of all outputs without bias.
• Include information that answers the study question(s) or validates or invalidates the hypothesis(es).
• Use useful and quality visual illustrations, like charts, figures, and tables.
• Present details about data analysis and interpretation and mention any statistical tests and their outcomes.
• Report statistically insignificant findings to give a research paper credibility.
• Conclude with writing a short paragraph that summarizes key findings.
• Proofread, revise, and edit a results section to eliminate any mistakes.

Carter, S., Guerin, C., & Aitchison, C. (2021). Doctoral writing: Practices, processes and pleasures . Springer.

Cristancho, S., Watling, C., & Lingard, L. (2021). Three principles for writing an effective qualitative results section. Focus on Health Professional Education: A Multi-Professional Journal , 22 (3), 110–124. https://doi.org/10.11157/fohpe.v22i3.556

Noyes, J., Booth, A., Moore, G., Flemming, K., Tunçalp, Ö., & Shakibazadeh, E. (2019). Synthesising quantitative and qualitative evidence to inform guidelines on complex interventions: Clarifying the purposes, designs and outlining some methods. BMJ Global Health , 4 (1), 1–14. https://doi.org/10.1136/bmjgh-2018-000893

Ross, A., & Willson, V. L. (2018). Basic and advanced statistical tests: Writing results sections and creating tables and figures . Sense Publishers.

Snyder, N., Foltz, C., Lendner, M., & Vaccaro, A. R. (2019). How to write an effective results section. Clinical Spine Surgery: A Spine Publication , 32 (7), 295–296. https://doi.org/10.1097/bsd.0000000000000845

Wallwork, A. (2022). Writing an academic paper in English: Intermediate level . Springer International Publishing Springer.

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• Korean J Anesthesiol
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The principles of presenting statistical results: Table

Sang gyu kwak.

1 Department of Medical Statistics, Daegu Catholic University School of Medicine, Daegu, Korea

2 Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, Korea

Jong Hae Kim

3 Department of Anesthesiology and Pain Medicine, Daegu Catholic University School of Medicine, Daegu, Korea

Tae Kyun Kim

4 Department of Anesthesiology and Pain Medicine, Yangsan Hospital, Pusan National University School of Medicine, Busan, Korea

Dong Kyu Lee

5 Department of Anesthesiology and Pain Medicine, Guro Hospital, Korea University School of Medicine, Seoul, Korea

Sangseok Lee

6 Department of Anesthesiology and Pain Medicine, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea

Jae Hong Park

7 Department of Anesthesiology and Pain Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea

Francis Sahngun Nahm

8 Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, Korea

9 Department of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang, Korea

General medical journals such as the Korean Journal of Anesthesiology (KJA) receive numerous manuscripts every year. However, reviewers have noticed that the tables presented in various manuscripts have great diversity in their appearance, resulting in difficulties in the review and publication process. It might be due to the lack of clear written instructions regarding reporting of statistical results for authors. Therefore, the present article aims to briefly outline reporting methods for several table types, which are commonly used to present statistical results. We hope this article will serve as a guideline for reviewers as well as for authors, who wish to submit a manuscript to the KJA.

Introduction

It has been encouraging to see the growing number of outstanding article submissions and publications in the Korean Journal of Anesthesiology (KJA) over the years. Unfortunately, however, the diversity of result presentation format, alongside the number of manuscripts, has resulted in confusion not only in the review and publication process but also in delivering appropriate information to the readers. Presenting results derived using similar statistical methods in a prescribed tabular format recommended by the journal will not only simplify the review and publication process but also help with readers’ understanding of the published content.

General methods of presenting easy-to-read results can be found in the previous article [ 1 ]. In this article, we present specific examples of the appropriate application of the Instruction for Authors of KJA 1) to the tabular results for various analysis methods commonly used in research.

Common statistical tests and tables

Various types of tables are used to clearly present various forms of research results. Even if presented independently, tables must contain the essential elements needed to convey the necessary information. For instance, the title must contain sufficient description of the content, while the body and footnotes of the table must describe in detail the statistical method and results of the analysis.

The following are the examples of typical tabular results commonly submitted to this journal. The data used in the examples were generated randomly, unless otherwise indicated, and do not reflect results of a specific study, i.e., the presented results have no clinical significance.

Common guidelines

Statistic provided in all the tables follow the guidelines on the representation of significant figures and statistics in the Instructions for authors provided by the KJA. There must be no blank spaces in the table and estimate, sample size (n), and the statistical method used must be appropriately included when presenting results using statistical analysis. Quantitative data can be expressed as a representative value and its distribution, such as ‘mean ± standard deviation’ or ‘median (first quartile, third quartile). Qualitative data can be expressed as ‘frequency (percent, %)’, et al. For statistical analyses involving variable transformation that changes the shape of the distribution (i.e., log transformation), statistic reflective of the original value should be used. An inverse statistic may also be expressed if needed. Description of the transformation method and transformed values must accompany variable transformation. For more information on data transformation, refer to Lee's article [ 2 ].

Based on the statistic derived from the sample data of the study, the population parameters are estimated. It is recommended to display a confidence interval (i.e., 95% CI) that is an interval estimator along with point estimators such as mean, median, proportion, coefficient, et al. The previously derived estimates are described together with the hypothesis test results. P value must be described in three decimal places, and a test statistic should be presented in detail so that statistical inference can be made. Presenting the effect size, if possible, can aid the interpretation of statistical results.

An explanation of the abbreviations must be included in the footnote even if an explanation is provided in the text so that the table can be interpreted independently. The unit of measure of each variable must be accurately described, and the number of samples should be presented in the title or alongside the variable.

One sample comparison

In one sample comparisons, the data of the experimental sample are compared to a specific reference value. The example in Table 1 is a comparison between the arterial pressures of the experimental sample with the reference value of 60 mmHg. Based on the distribution of experimental data, a parametric or non-parametric method of statistical analysis was applied, along with the difference between the reference value and that of the experimental sample and its 95% CI.

Example of One Sample Comparison with Reference Value

Values are presented as mean ± SD or median (Q1, Q3). MBP: mean blood pressure.

* One-sample t-test,

† Two-sided P value < 0.05,

‡ Wilcoxon’s signed rank test. These values, including P values, are presented according to the Instructions for Authors of Korean Journal of Anesthesiology for notation below the decimal point.

In the case of categorical data, proportions, etc. can be compared. One sample proportion test can be performed to compare the response rate with the reference value, and when the response rate is close to 0% or 100%, an exact binomial test is sometimes performed. The comparison results are described in Table 2 along with the 95% CI of the response rate.

Example of One Sample Test of Proportions

PONV: postoperative nausea and vomiting,

* One sample proportion test with continuity correction,

† Exact binomial test,

‡ Two-sided P value < 0.05. These values, including P values, are presented according to the Instructions for Authors of Korean Journal of Anesthesiology for notation below the decimal point.

Comparison of two independent samples

Table 3 presents the results of comparing the mean arterial pressure and heart rate after endotracheal intubation when two types of endotracheal intubation devices were used. A parametric or non-parametric method of statistical analysis is applied depending on the distribution of the experimental data. The statistical method used is described in the table along with a representative value suitable for the distribution. To facilitate the interpretation of the results, the difference between the two groups is presented and the corresponding P value is presented to three decimal places.

Example of Independent Two Sample Comparison

* Independent two sample t-test,

† Mann-Whitney U test. These values, including P values, are presented according to the Instructions for Authors of Korean Journal of Anesthesiology for notation below the decimal point.

Comparison of matched pairs

Table 4 presents data from a study measuring mean blood pressure before and after the administration of a drug. The table presents results of administering the drug in a sample of hypertensive patients and a sample of patients with a body mass index over 30 kg/m 2 . The number of patients in each sample has been presented and the mean or median blood pressure was used as the representative value according to the distribution of measurements. A paired t-test was used to perform a paired comparison using the difference in pre- and post-treatment values for each patient. The statistically estimated differences are presented alongside the its 95% CI. The statistical method and P value is also clearly presented.

Example of Dependent Two Samples Comparison

Values are presented as mean ± SD or median (Q1, Q3). BMI: body mass index, MBP: mean blood pressure.

* Paired t-test,

Comparison of three or more independent samples

Results from a study on pain control following a Cesarean section are presented in Table 5 [ 3 ]. The administered dose of morphine and time taken until the first dose was compared between a control group that received normal saline, a group that received intrathecal morphine and a group that received a quadratus lumborum block. Morphine requirement with a normal distribution was expressed as ‘mean ± standard deviation’, while the time taken until the first dose was expressed as a ‘median (Q1, Q3)’ value as it did not satisfy the normal distribution assumption. An accurate P value, up to 3 decimal places, and the number of samples in each group are presented, while a detailed description of the statistical method including the multiple comparison method for post hoc analysis is provided.

Example of Three Independent Samples Comparison

Values are presented as mean ± SD or median (Q1, Q3). ITM: intrathecal morphine, QLB: quadratus lumborum block. P values indicate the statistical inference result of overall comparisons.

* One-way analysis of variance with Tukey’s method,

‡ Kruskal-Wallis H test with Dunn’s procedure. These values, including P values, are presented according to the Instructions for Authors of Korean Journal of Anesthesiology for notation below the decimal point. Excerpt from Salama ER [ 3 ] results showing representative values and P value as examples of comparison of three independent samples.

Categorical data comparison

Table 6 presents results of an investigation analyzing the occurrence of successful endotracheal intubation, sore throat 1 hour following tracheal extubation, and post-surgical vocal cord paralysis in two groups treated with an existing versus newly developed endotracheal tube. Results were reported as the frequency of occurrence and relative frequency and the statistical method and P value are clearly presented.

Example of Categorical Data Comparison

Values are presented as frequency (%).

* Chi-squared test,

‡ Fisher’s exact test. These values, including P values, are presented according to the Instructions for Authors of Korean Journal of Anesthesiology for notation below the decimal point.

Logistic regression analysis

The dependent variable is a nominal scale. This analysis method is widely used when selecting a meaningful variable among various explanatory variables and results are presented in terms of odds ratio, etc. Parts of results of a study published in the KJA is presented in Table 7 [ 4 ]. The study analyzed the risk factors of post-anesthesia emergence agitation in the recovery room. Variables with three or more components were converted into insignificant dummy variables to estimate the odds ratio. The table presents the odds ratio of referenced components and those converted into dummy variables alongside the 95% CI. A detailed description of the statistical methods used to select variables in the logistic regression analysis is also included.

Risk Factors of Emergence Agitation in the PACU (n = 158) [ 4 ]

The odds ratio of Marital status is estimated with non-weighted dummified variables. IO: intraoperative, ND: neurologic disorders, PACU: post-anesthesia care unit,

* Backward binary stepwise logistic regression,

† Two-sided P value < 0.05. These values, including P values, are presented according to the Instructions for Authors of Korean Journal of Anesthesiology for notation below the decimal point.

This article examined the principles of presenting the statistical results in clinical studies as a table. We hope to see manuscript submissions with standardized tables reflective of the provided framework. Such standardized format will help facilitate the submission and review process for both authors and reviewers.

1) https://ekja.org/authors/authors.php

Conflicts of Interest

All authors are Statistical Round Board Members in KJA.

Author Contributions

Sang Gyu Kwak (Conceptualization; Supervision; Writing – original draft; Writing – review & editing)

Hyun Kang (Validation; Writing – review & editing)

Jong Hae Kim (Validation; Writing – review & editing)

Tae Kyun Kim (Validation; Writing – review & editing)

EunJin Ahn (Validation; Writing – review & editing)

Dong Kyu Lee (Validation; Writing – original draft; Writing – review & editing)

Sangseok Lee (Project administration; Validation; Writing – review & editing)

Jae Hong Park (Validation; Writing – review & editing)

Francis Sahngun Nahm (Validation; Writing – review & editing)

Junyong In (Conceptualization; Supervision; Writing – original draft; Writing – review & editing)

Training videos   |   Faqs

Figures and Tables in Research Papers – Tips and Examples

In this blog, we will look at best practices for presenting tables and figures in your research paper. You must try to present your results in figures and tables wherever possible. This is a fantastic way to summarize large amounts of data in a visually pleasing way.

1. When to use Figures and Tables in a Research Paper?

One of the common questions asked by students is when should they present the data in figures and tables instead of putting it directly in the text. The best way to answer this question is if you cannot present your data in your text in one or two lines, then you should consider putting it in a figure or a table.

Tip: If you cannot present your data in your text in one or two lines then use a Table or Figure.

Another common question that comes up is how to choose between a figure and a table for presenting the data. The best way to answer this question is if you want to illustrate the trends and patterns in the data, then a figure is the best option. If you want to show the actual values or present a lot of numerical information in your paper. Then, a table might be the best way to go.

2. An Example of Table and Figure Usage

Here is an example. Look at the way the authors have used tables and figures to describe their results.

✔ The author explains the trend using a figure and points the reader to the table for full data In Figure 1.1, the values are plotted as a function of time. The two peaks in the plot correspond to the maximum and minimum temperature values. The specific values obtained for each experiment are given in Table 2.

In the first couple of lines, they are talking about a trend in their data that relates to the change in temperature over time. They are constantly referring to the figure to get their point across to the readers. And finally, in the last sentence, they are telling the readers that the actual numerical data is provided in the table, and they can refer to it if they want. This is a standard way to use figures and tables in your research paper.

3. Best Practices for Using Tables & Figures

When you are using figures and tables in your paper, you must reference them in your text.  You cannot have a figure in your paper and not talk about it in your text.

Best practices All Figures/Tables should be referenced in the text Every Figure/Table should have a caption Caption should be concise and self-explanatory

Another important thing is that your figure should have a caption that clearly explains what is it about. Most people skim through the paper just going through figures and tables without reading any text in the paper. So, captions should be as short as possible but detailed enough for the readers to understand the figure or table without having to read the text.

4. Common Mistakes to Avoid

A common mistake made by both beginner writers and experienced writers is repeating the figure caption in the text when referring to the figure in the paper. Look at the following example, the author repeats exactly what it says in the figure caption in the text. The author is saying that the figure shows the change in temperature over time. This is already mentioned in the figure caption, there is nothing new here.

✖ Bad example – Repetition of figure title in the text when referring to it Figure 1 shows the change in temperature over time.

Now, look at the example below. While referring to the figure, the author provides some additional information to the readers by talking about an interesting trend in the figure instead of just repeating the figure caption.

✔ Good example – Interesting fact provided about the figure when referring to it The temperature fluctuation over time follows a sine wave pattern peaking at 30 degrees (Fig 1).

Tables and figures are important parts of your research work. They are your secret weapon for clearly presenting your data to your readers. We strongly recommend that you prepare the list of figures and tables that you want to include in your work before you start writing the text. Please follow the instructions provided in this blog while adding figures and tables to your research paper. If you have any questions, please drop a comment below, and we will answer as soon as possible. We also recommend you to refer to our other blogs on  academic writing tools ,   academic writing resources , and  academic phrase-bank , which are relevant to the topic discussed in this blog. 

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Research Voyage

Research Tips and Infromation

How to Write Results Section of Your Research Paper

Introduction

How to summarize the data preprocessing steps in the results section, how to summarize the research findings in the results section, common phrasal verbs used in results section, what are common mistakes observed in the results section, how long should a results section be of a research paper, should the results of a research paper be given in the introduction or in another section.

• What is the difference between the "discussion" and the "results" section of a research paper?

Does the summary be part of the result section in the research article?

Why do some scientific papers not include a ‘methods and results’ section, how do you introduce a results section, why do researchers need to avoid making speculations in the results section of a research paper.

The result section is the third major part of the research paper and it’s probably the most important part because it contains actual outcomes about your experiment. The other sections contain a plan, hope and interpretations but the result section is the actual truth of your study.

In the result section, one should aim to narrate his/her finding without trying to interpret or evaluate them. Basically, the result section explains any issues you faced during your data collection, the main results of the experiment and any other interesting trends in the data.

With the results, we want to convey our data in the most accessible way, so we usually use visual elements like graphs and tables to make it easier to understand. The facts, figures, and findings are to be presented in a logical manner leading to the hypothesis and following the sequence of the method section. Mention must be made for the negative results as it would substantiate the discussion section later on. Interpretation of the meaning of the results section is done in the discussion section .

How Results Section is Structured?

When structuring the results section, it is important that your information is presented in a logical order. 

Now, when it comes to the organization of the result section, as a generic rule

• Always start with textual content, not a Table or Figure
• Make sure you show the Tables and Figures after they are mentioned in the text
• Explain any missing data or problems you had while collecting the data.

The results section gives you the opportunity to:

• Summarize the  Data Preprocessing Steps

2. Report on the Findings 

3. Summarize the Research Findings

At the beginning of the result section, you can discuss how you have collected, transformed and analyzed your data. This step is usually known as data preprocessing.

The data collection step may involve collecting data from various hardware, software or internet sources.

If your research requires data cleaning, then explain the steps and procedures used for data cleaning. Here, the researchers can describe how they transformed data to facilitate analysis (e.g. converting data from one format to another format). If there was missing data, explain how you have substituted missing values and with what techniques you have substituted your data.

You can mention what software or statistical procedures you have used to analyze and interpret the data.  Demonstrate with the help of charts or tables the cleansed data ready to be used for getting results.   In a few research papers, you may find these steps appearing at the end of the method section. 

How to Present your Research Findings in Research Section?

Second, present your findings in a structured way (such as thematically or chronologically), bringing the readers’ attention to any important, interesting, or significant findings.

Be sure to include a combination of text and visuals. Data illustrations should not be used to substitute or replace text, but to enhance the narrative of your findings.  

Resultant data are to be presented either through text, figures, graphs or tables or in a combination of all of the best suited for leading to the hypothesis. Care should be taken to prevent any duplication of the text, figures, graphs, and tables. If any result is presented in figures or graphs, it need not be explained through text. Similarly, any data presented through the graph should not be repeated in the table.

Each table and graph should be clearly labelled and titled. Each different finding should be made in a separate sub-section under the proper sub-heading following the sequence adopted in Method Section.

If you are not comfortable with data analysis then you can take professional services for research data analysis .

Figures 

 Identify and list the figures which are relevant to your results. For example, if you are working on the problem statement of ” Identifying the pathological issues with pomegranate fruits”, then you can add the figures of pomegranate fruits with good quality and bad quality along with their stage of infection. If you are working on pomegranate cultivar-related issues, put the figures of pomegranate fruits belonging to different cultivars. 

The key takeaway here is not to add any figures which may not directly contribute to results. These diagrams may include generic block diagrams, and images conveying generic information like farm fields, plantations etc.

While putting the figures, as much as possible use grayscale images as many users take the photocopies in black and white mode. In certain scenarios you are 

 In the case of figures, the captions should come below, called Fig. 1, Fig. 2 and so on. 

You can visit my article on The Power of Images in Research Papers: How They Enhance the Quality of Your Paper? . This article will help you how images or figures enhances the possibility of selection of your paper to top quality journals and conferences.

Tables are good for showing the exact values or showing much different information in one place. Graphs are good for showing overall trends and are much easier to understand quickly. It also depends on your data.

Tables are labelled at the top as Table 1,  Table 2 and so on.  Every table must have a caption. It’s good if one can put independent variable conditions on the left side vertically, and the things you have measured horizontally so one can easily compare the measurements across the categories. But you need to decide for each table you make, what is easiest to understand, and what fits on the paper.

Visit article on Best Practices for Designing and Formatting Tables in Research Papers for further details on proper representation of tables at proper places.

You can use various types of graphs in your results like a line graph, bar graph, scatter plot, a line graph with colours, a box with whiskers plot and a histogram.

In general, continuous variables like temperature, growth, age, and time can be better displayed in a line graph on a scatter plot or maybe on histograms.

If you have comparative data that you would like to represent through a chart then a bar chart would be the best option. This type of chart is one of the more familiar options as it is easy to interpret.

These charts are useful for displaying data that is classified into nominal or ordinal categories. In any case, you need to decide which is the best option for each particular example you have,  but never put a graph and a table with the same data in your paper.

In the case of graphs, the captions should come below, called Fig. 1, Fig. 2 and so on. 

A limited number of professional tools provide you the chance to add some life to your graphs, charts, and figures and present your data in a way that will astound your audience as much as your astounding results.

My article on Maximizing the Impact of Your Research Paper with Graphs and Charts will help you in drawing eye catching and informative graphs and charts for your research paper.

The results section should include a closing paragraph that clearly summarizes the key findings of the study. This paves the way for the discussion section of the research paper, wherein the results are interpreted and put in conversation with existing literature.

Any unusual correlation observed between variables should be noted in the result section. But any speculation about the reason for such an unusual correlation should be avoided. Such speculations are the domains of the discussion section.

Comparisons between samples or controls are to be clearly defined by specifically mentioning the common quality and the degree of difference between the comparable samples or controls. Results should always be presented in the past tense.

Common academic phrases that can be used in the results section of a paper or research article. I have included a table with examples to illustrate how these phrases might be used:

Let’s look at some of the common mistakes which can be observed in the result section.

• One should not include raw data which are not directly related to your objectives. Readers will not be able to interpret your intentions and may unnecessarily collect unwanted data while replicating your experiments.
• Do not just tell the readers to look at the Table and Figure and figure it out by themselves, e.g “The results are shown in the following Tables and Graphs”.
• Do not give too much explanation about Figures and Tables.

“An Optimized Fuzzy Based Short Term Object Motion Prediction for Real-Life Robot Navigation Environment”  ( Paper Link )

Object motions with different motion patterns are generated by a simulator in different directions to generate the initial rule base. The rules generated are clustered based on the direction of the motion pattern into the directional space clusters. Table 1 shows the number of rules that remained in each directional space after removing inconsistencies and redundancies.

Our predictor algorithm is tested for a real-life benchmark dataset (EC Funded CAVIAR project/IST 2001 37540) to check for relative error. The data set consists of different human motion patterns observed at INRIA Lab at Grenoble, France and Shop Centre. These motion patterns consist of frames captured at 25 frames/second. A typical scenario of the INRIA Lab and the Shop Centre is shown in the Figure below.

                                                      Fig.1: A typical scenario of the INRIA Lab and the Shop Centre

For each test case, the average response time is calculated to find its suitability for a real-life environment. The prediction algorithm is tested by processing the frame data of moving human patterns stored in the database at intervals of 50 frames (02 Seconds).

The navigation environment is presented in the form of a Prediction graph where the x-axis represents the Range parameter and the y-axis represents the Angle parameter. The predicted Angle and Range values are compared with actual values obtained from the real-life environment.

The performance of the predictor is tested when more than one object is sensed by the sensor. The tests are carried out assuming at most 6-8 objects can be visible and can affect the decisions to be made regarding robot traversal.

The results section is an essential component of any research paper, as it provides readers with a detailed understanding of the study’s findings. In this blog post, we discussed three important steps for writing a results section: summarizing the data preprocessing steps, reporting on the findings, and summarizing the research findings.

Firstly, summarizing the data preprocessing steps is crucial in the results section, as it provides readers with an understanding of how the raw data was processed and transformed. This step includes data cleaning, data transformation, and data reduction techniques. By summarizing the data preprocessing steps, readers can understand how the data was prepared for analysis, which is critical for interpreting the study’s findings accurately.

Secondly, reporting on the findings is an important step in the results section. It involves presenting the study’s results in a clear and concise manner, using tables, graphs, and statistical analyses where necessary. This step should be focused on answering the research question or hypothesis and should present the findings in a way that is easily understood by the reader. Reporting on the findings can also include providing detailed interpretations of the results, as well as any potential limitations of the study.

Finally, summarizing the research findings is crucial in the results section, as it provides readers with a concise summary of the study’s main results and conclusions. This step should be written in a clear and straightforward manner, highlighting the most important findings and explaining their significance. Additionally, it should relate the study’s findings to the research question or hypothesis and provide a conclusion that is well-supported by the results.

Overall, the results section of a research paper is a critical component that requires careful attention to detail. By following the guidelines discussed in this blog post, researchers can present their findings in a clear and concise manner, helping readers to understand the research process and the resulting conclusions.

Frequently Asked Questions

An IMRaD paper format suggests around 35% of the text should be dedicated to the results and discussion section. For a research paper of length 10 pages, the results and discussion section should occupy 3-4 pages.

The results of a research paper should be given in a separate section. However, the highlights of the results can be discussed in the introduction section.

What is the difference between the “discussion” and the “results” section of a research paper?

The results section only depicts the results obtained by implementing the methodology used. The results will be in the form of figures, tables, charts or graphs. The discussion section elaborates the analysis of the results obtained in the results section.

The summary can be part of the results section of a research paper. However, the results obtained can be summarized in the form of a table in results section of a research paper.

Survey papers and papers which are focussed on theoretical proofs do not involve separate methods and results sections.

The results section is introduced by the data collection steps and the setting up of equipment in different scenarios for obtaining the results.

Making speculations in the results section may lead to wrong interpretations by the researcher who is planning to replicate the methodology used for obtaining the results. This may further lead to wrong comparative analysis.

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Literature Review

5 Best Research Graphic Organizer Templates For Researchers

Discover the 5 best research graphic organizer templates to simplify and streamline your research process.

Aug 27, 2024

Researching a paper can feel overwhelming and chaotic. First, you must sift through countless sources before narrowing them down to a manageable number. Then, you need to extract information from each source while keeping track of everything you've uncovered. Research graphic organizers can help you structure your notes and identify connections between sources to streamline the writing process. 

In this guide, we'll explore the ins and outs of research graphic organizers and offer tips for using them effectively.  With the right tools and strategies, you'll write your paper quickly. Otio's AI literature search and writing partner can help you organize by summarizing information from your sources, creating research graphic organizers, and much more. 

Table Of Contents

What are research graphics, what is a research graphic organizer, how to create a graphic organizer easily, purpose of research graphic organizer, supercharge your researching ability with otio — try otio for free today.

Research graphics depict data or information connected to a research project. They summarize findings, help present complex data more efficiently, or illustrate relationships between variables.  

Common Types of Research Graphics  

Research graphics come in many varieties. Here are a few of the most common types:  

Bar Charts  

These visuals compare categories or groups. They feature rectangular bars that represent different categories, with the length of each bar corresponding to its value.  

Line Charts  

Line charts show trends or changes over time. They plot individual values on an X and Y axis and connect them with a line to illustrate how they relate over a certain period.  

Pie Charts  

These circular visuals represent the proportions or percentages of a whole. Each slice of the pie corresponds to a category’s contribution to the total. Pie charts work well for illustrating data with a limited number of categories.  

Scatter Plots  

Scatter plots show relationships between two variables. Each value pair in a data set is plotted as a dot on a two-dimensional graph. By examining the pattern of dots, you can determine whether the two variables have a positive, negative, or no correlation.  

Histograms  

Histograms depict the distribution of a single variable. They look similar to bar charts, but instead of comparing categories, they show the frequency of data within ranges or bins.  

Infographics  

Infographics present complex information in a visually appealing and easy-to-understand format. They combine visuals with minimal text to communicate a research topic to a broad audience. Infographics can take many forms and are often colorful and engaging.

Research graphic organizers help you effectively structure your research . They visually organize the notes to help you analyze and present your findings.  When you outline your research paper, you may discover that certain graphic organizers fit your project better than others. In time, you will figure out which types of research graphic organizers work best for you. 

Concept Maps: Visually Connect Ideas

Concept maps in research look like diagrams or webs that show the relationships between different ideas or concepts. They help researchers brainstorm information and organize and visualize their notes.  You can create concept maps to grasp the bigger picture of your research topic and assess how different areas of study connect.  Doing so will help you narrow your focus and pinpoint specific investigative aspects.  Then, as you collect research, you can revise your concept map to reflect new information and how it alters your understanding of the topic. 

Venn Diagrams: Compare and Contrast Information

Venn diagrams use overlapping circles to organize data visually. Each circle represents a different research topic, idea, or concept. As you collect information, you can jot down notes in the appropriate sections to analyze similarities and differences between your subjects. Venn diagrams are handy when your research involves contrasting theories, historical events, or studies with different conclusions. 

Flowcharts: Outline Processes and Methodology

Flowcharts help researchers visualize both experimental processes and methodologies. They break down complex steps into more uncomplicated, easy-to-follow instructions. Flowcharts can also help identify areas of research that need further exploration. For example, if you create a flowchart to outline the steps of a scientific experiment, you may discover an area that needs more information. This could lead you to conduct further research before proceeding with your experiment. 

Timeline Charts: Track Progressions Over Time

Timeline charts help researchers visualize how events unfold over time. They can help you organize historical data for research papers or projects, track the development of a particular topic, or map out your research progressions. As you collect data, you can create a timeline chart to help you organize your information and present your findings. 

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1. Open Google Sheets

To get started, open Google Sheets and create a new blank spreadsheet by clicking on the "+ New/Blank" button in the upper-left corner of the screen. 

2. Create Your Columns

Next, begin adding your categories to the first row or column. These categories will serve as the column headers for your graphic organizer. 

3. Adjust the Formatting

After that, use the formatting tools in Google Sheets to customize the appearance of your graphic organizer. You can change the font, font size, color, and background color of your text to make it more visually appealing. Play around with the format until you find a style that works for you. 

4. Continue Adding New Content 

Finally, enter your research notes under each category in the corresponding column. You can add text, numbers, and even images to your sheet. Continue to add notes as your research progresses, adding new categories or columns as needed.

1. Say Goodbye to Research Overload with Otio

Knowledge workers, researchers, and students today suffer from content overload.  And they are left to deal with it using fragmented, complex, and manual tooling. Too many of them settle for stitching together complicated bookmarking, read-it-later, and note-taking apps to get through their workflows. Now that anyone can create content with a button, this problem will only worsen. 

Otio solves this problem by providing researchers with one AI-native workspace. It helps them collect various data sources, from bookmarks, tweets, and extensive books to YouTube videos. Otio can then extract key takeaways with detailed AI-generated notes and source-grounded Q&A chat. Lastly, it helps you create draft outputs using your collected sources. In short, Otio enables you to go from the reading list to the first draft faster.

Along with this, Otio also helps you write research papers/essays faster . Here are our top features that researchers love: AI-generated notes on all bookmarks (YouTube videos, PDFs, articles, etc.), enabling you to chat with individual links or entire knowledge bases, just like you chat with ChatGPT and AI-assisted writing. 

Let Otio be your AI research and writing partner — try Otio for free today !

2. EdrawMax: The Online Graphic Organizer Tool for All Your Needs 

EdrawMax Online is a cloud-based software that allows users to create various diagrams, charts, drawings, and graphic organizers. By signing up, you can access a canvas to draw any organizer of your choice by dragging and dropping various shapes and symbols from the included library. You can also use EdrawMax Online to create graphic organizers for research papers . You can choose to make one from scratch or just use a template, albeit the latter option relies on the presence of a template in the template gallery.

3. HMH Templates: Free and Customizable Graphic Organizers 

Help your students classify ideas and communicate more effectively with these free graphic organizer templates, available for download at HMH. They can be used to structure writing projects and help with problem-solving, decision-making, studying, planning research, and brainstorming.

4. Teachers Pay Teachers: Thousands of Graphic Organizers for All Subjects 

TPT is a platform with over 2000 graphic organizer templates in areas such as animal research , career research, and more. These fillable templates are easy to use and can help students and researchers organize information in one place.

5. Canva: Graphic Organizer Templates to Get You Started 

Learn concepts, brainstorm ideas, and gain insights using editable graphic organizer templates you can customize for any topic or purpose on Canva.

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Graphic organizers help learners of every age categorize, clarify, or simplify information. They support writing, reading, and research by assisting students to construct knowledge by exploring the relationships between concepts. 

Supporting Complex Learning 

Research graphic organizers can be beneficial for students tackling complex texts or topics. Teacher-generated organizers can help students categorize and analyze large amounts of information, introduce a refined lens to examine a complex text, and enable students to recognize patterns and compare perspectives. The visual nature of graphic organizers can also help reduce students’ anxiety about complex learning by providing a structured approach to the work. 

Limiting Rigid Thinking 

Despite their benefits, graphic organizers' structured nature can lead to some unintended consequences. For example, students may need more than the graphic organizer to manage their learning rather than approach the task flexibly. This can cause students to avoid the messy yet essential work of surfacing key insights or conceptual understanding. Instead, they may limit their thinking to just filling in the boxes of the graphic organizer. 

Designing for Learning 

When the goal is to support student learning, graphic organizers can provide intellectual guardrails to guide students toward more profound understanding and learning. Well-designed graphic organizers should help students categorize key concepts, surface the interconnection of ideas, or help students construct knowledge. For example, suppose your desired learning objective is to have students explain the paradox that an overly weak and overly strong government can threaten individual liberty. In that case, the graphic organizer must be constructed to generate that level of thinking. 

The organizer should ensure that students move beyond the traditional listing of the weaknesses of the Articles of Confederation . Instead, the design should lead students to thoughtfully analyze how liberty was impacted under the British monarchy and the Articles of Confederation. The organizer should require students to compare plot elements from the story to the typical rising/falling action, climax, and resolution storyline; determine where and why the author made similar or different choices; and offer a judgment regarding the deliberate craft moves. 

If the goal is to have students form well-reasoned opinions, the ubiquitous Venn diagram, although a viable means to make comparisons, doesn’t automatically require students to weigh the relative strengths of the elements depicted, isolate the most significant similarities or differences, or rate or discriminate between elements that would inform a thoughtful point of view. Unless designed with the end in mind, organizers may unintentionally lead students on an intellectual scavenger hunt that generates surface understanding and thinking. The design of the graphic organizer must align with the learning goal and require that students apply the information they deconstructed to make meaning or develop unique insights. 

Imagine you’re a researcher. You’ve been given a grant to study the effects of climate change on polar bear populations. You’ll need to write a paper, and you want to produce something with real value. You want to collect and analyze data on the topic and write the best paper you can. The only problem is a massive content overload on climate change and polar bears. If you searched for "climate change and polar bears" today, you'd get over 5 million results. 

That’s a lot of content to sift through. Imagine that instead of going through this process alone, you had a research partner. But instead of a human, it was an AI with superpowers specifically designed to help you with academic research. This is what Otio aims to do. It allows researchers and students to deal with academic content overload and produces better research papers. 

Collect: Gather Knowledge From Anywhere 

Otio helps you collect knowledge from anywhere. Whether reading a scientific journal, watching a YouTube video, or sifting through tweets, Otio enables you to gather all this information in one place. Instead of a disorganized collection of bookmarks, you’ll have a clean and organized visual interface that helps you get to the writing faster. 

Extract: Synthesize Information with AI 

Once you’ve collected enough data, Otio helps you understand it all. Using advanced AI technology, it generates notes for all your collected research. Need to understand what a specific bookmark is about? Just ask Otio. Do you want to chat with the data before you start writing? No problem. With Otio, you’ll extract the vital information you need to produce better research. 

Create: Write Research Papers Faster 

Otio doesn’t just help you gather and understand academic research. It enables you to write research papers faster. Using machine learning, Otio can help you draft outputs based on your collected sources. This way, you can go from the reading list to the first draft faster and produce better work. 

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