findings in a research

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How to Write the Results/Findings Section in Research

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

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

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

What is included in the Results section?

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

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

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

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

How are the results organized?

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

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

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

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

Attitudes towards postoperative care in patients over the age of 55

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Captioning and Referencing Tables and Figures

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

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

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

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

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

Steps for Composing the Results Section

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Wordvice Resources

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

Research Findings Guide: Examples, Types, and Structuring Tips

• November 7, 2024

Dr. Marvin L. Smith

Research findings are the core insights derived from a study, summarizing key results and answering the research question . They reveal patterns, relationships, or trends, whether through qualitative insights or quantitative data. 

Understanding how to write findings in research is crucial—it provides clarity, supports claims, and often determines the study’s impact. 

This article explores types of research findings , examples, and methods to present them effectively. 

Whether you’re looking to learn about research findings, explore examples of different types of research findings, or need guidance on structuring findings in a paper, this guide has you covered.

What Are Research Findings?

Research findings are the key results or discoveries from a study. 

They directly address the research question, revealing insights that support or challenge the hypothesis. These findings can be qualitative, like observations or themes, or quantitative, like statistics or patterns. 

Clear and accurate findings ensure readers understand the study’s outcome.

Importance of Research Findings

Research findings are the cornerstone of any study, offering critical evidence to support the researcher’s conclusions . They serve as the basis for establishing facts, verifying hypotheses, and validating the study’s objectives. 

Findings not only demonstrate that a study has met its intended goals but also underscore its relevance and reliability within a field.

In academic and professional circles, strong research findings enhance the credibility of a paper. They demonstrate that the study is grounded in rigorous data analysis, increasing the likelihood of acceptance by peers and recognition in the wider community. 

When findings are presented clearly and backed by sound evidence, they provide a solid foundation for future research, inspiring new questions and guiding subsequent studies.

Additionally, well-structured findings are invaluable for decision-making across sectors. 

In healthcare , they inform treatment protocols and health policies; in business , they shape product development and strategic planning; in education , they enhance teaching methods and learning outcomes. 

Without concrete findings, research would lack direction and impact, making these insights essential for applying knowledge to real-world problems and advancing knowledge in meaningful ways.

Types of Research Findings

Research findings can be categorized based on both the data’s nature and its origin, giving readers insight into the study’s methods and the type of evidence presented. 

This classification—into qualitative vs. quantitative findings and primary vs. secondary findings—helps researchers structure their findings more effectively and ensures readers can follow the study’s approach.

Qualitative vs. Quantitative Findings

Qualitative findings focus on understanding experiences, motivations, and perceptions by capturing themes, patterns, and meanings through methods like interviews, focus groups, and observations. They address the “how” and “why” behind phenomena.

For instance, in a study exploring customer satisfaction, qualitative findings might reveal that customers feel valued when employees remember their names—an insight drawn from direct interview responses. 

These findings provide rich, contextual insights that add depth and human perspectives.

Quantitative findings , on the other hand, are based on numerical data derived from methods like surveys, experiments, and statistical analysis. These findings answer “what,” “how much,” or “how many,” offering a measurable view of trends or relationships.

In the same customer satisfaction study, quantitative findings could show that 78% of surveyed customers rate their satisfaction as “high.” 

This data-driven approach offers clear, objective metrics that validate or challenge hypotheses and allow comparisons across variables.

Using both qualitative and quantitative findings often provides a balanced perspective, combining numerical rigor with contextual understanding—a method known as mixed-methods research.

Primary vs. Secondary Findings

Primary findings emerge directly from the researcher’s own data collection. These are original insights obtained through firsthand research, such as an experiment, survey, or field study. 

For example, a study measuring the effects of a new medication on blood pressure would yield primary findings about its effectiveness based on the data collected during clinical trials. 

These findings introduce new knowledge to the field, making them highly valuable and directly tied to the study’s objectives.

Secondary findings are drawn from data or insights that others have previously collected. They often support or add context to primary findings without introducing new information. 

For instance, in a study on the effectiveness of teaching methods, secondary findings might include statistics from government reports on educational outcomes. 

These findings help frame the research within a broader context, showing how it aligns with or diverges from existing studies. By combining primary and secondary findings, researchers can enhance the credibility of their work and provide a fuller understanding of the topic.

Each type of research finding serves a unique purpose. 

Qualitative and quantitative findings provide different perspectives on data, while primary and secondary findings strengthen the depth and breadth of research, making it more impactful and informative.

Interpreting Research Findings

Interpreting research findings involves reviewing data to uncover meaningful insights. This process not only highlights key results but also strengthens the study’s credibility by ensuring clarity and accuracy in presenting findings.

Analyzing Data and Recognizing Patterns

Data analysis helps identify trends, correlations, or differences within the dataset. By recognizing these patterns, researchers draw conclusions that directly address the research question. Effective analysis reveals underlying insights and shows how findings connect to the study’s objectives.

Ensuring Validity and Accuracy

Ensuring validity and accuracy is essential in interpreting findings. Validity confirms that the findings genuinely reflect the data and align with the research question, while accuracy ensures consistent, error-free analysis. Together, they reinforce the study’s reliability, making its conclusions trustworthy and impactful.

Presenting Research Findings

Presenting research findings effectively is crucial for helping readers understand and engage with the study’s outcomes. A well-structured presentation and the use of visuals ensure clarity, while accessible language makes findings understandable to a wider audience.

Structuring a Clear Presentation

Organize findings in a logical order that directly addresses the research question, starting with the most significant results. Use headings, subheadings, and bullet points to break down information, making it easier for readers to follow. Concise and clear language keeps the focus on key insights without overwhelming details.

Using Visuals for Emphasis

Visuals, like charts, graphs, and tables, highlight key data points and make complex information easier to grasp.

For example, a bar chart can show survey results by comparing response percentages across different groups, while a line graph can track changes over time, such as monthly sales trends or patient recovery rates. 

Tables are also effective for presenting detailed numerical data, allowing readers to compare figures side by side.

These visual aids help readers quickly identify patterns and comparisons, enhancing the impact of findings and overall comprehension. A well-placed chart or table can make a difference by translating raw data into a clear, engaging visual summary .

Communicating Findings to Non-Experts

To reach non-experts, simplify technical terms and avoid jargon. Use clear, everyday language and provide brief explanations when needed. Presenting findings in an accessible way ensures broader understanding and maximizes the research’s reach and influence.

Challenges in Reporting Research Findings

Reporting research findings can be challenging, as it requires accuracy and objectivity to avoid misleading readers. Identifying and addressing these challenges is essential to maintain credibility and transparency.

Misinterpretation and Bias

Misinterpretation happens when findings are presented in a way that leads readers to incorrect conclusions. To avoid this, use precise language and clarify key points. Bias, whether intentional or unintentional, can distort findings by emphasizing certain outcomes. Being aware of potential biases and reporting objectively ensures a fair representation of the data.

Addressing Limitations

Every study has limitations—factors that may affect the results or the generalizability of findings. Clearly acknowledging these limitations shows honesty and helps readers understand the scope of the research. Addressing limitations also guides future studies by highlighting areas for improvement or further investigation.

Applications of Research Findings

Research findings have broad applications across various fields, guiding decisions, influencing policies, and informing future research. 

In healthcare, findings can lead to new treatments, improve patient care, or shape public health guidelines. 

In business, research insights drive product development, marketing strategies, and customer experience enhancements. 

In education, findings inform teaching methods and curriculum design, ultimately improving learning outcomes.

Moreover, research findings often serve as a foundation for further studies, allowing other researchers to build on existing knowledge. Whether applied to solve real-world problems or deepen understanding within a field, these findings contribute significantly to progress and innovation.

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Home » Research Results Section – Writing Guide and Examples

Research Results Section – Writing Guide and Examples

Table of Contents

The results section of a research paper is a crucial part of any academic study. It provides a structured and clear presentation of the findings, enabling readers to understand the outcomes of the research. This section focuses strictly on presenting the data, leaving analysis and interpretation for the discussion section. Writing this section effectively requires precision, clarity, and adherence to the research questions or hypotheses.

Research Results

The results section is where researchers present the findings of their study. It showcases the data collected during the research process, organized systematically for clarity. This section may include both qualitative and quantitative data, often supported by visual aids like tables, charts, and graphs. Importantly, this section avoids subjective interpretations and focuses solely on the objective presentation of data.

Key Characteristics

• Objectivity : Ensures that findings are reported without bias.
• Clarity : Structures information logically to help readers easily comprehend the results.
• Relevance : Includes only data that directly addresses the research questions or hypotheses.
• Conciseness with Detail : Summarizes key findings comprehensively without overloading with excessive information.

Purpose of the Results Section

The results section serves several important functions in a research paper. Its primary goals are to:

• Report the findings of the study systematically and without interpretation.
• Address the research questions or hypotheses explicitly, showing whether they were supported or rejected.
• Provide enough detail for other researchers to replicate the study if needed.
• Lay the groundwork for the discussion section, where implications and significance are explored.

Steps to Write an Effective Results Section

Provide an overview.

Begin with a brief summary of the research goals and the methods used to analyze the data. This introductory context helps readers understand the framework within which the results are presented.

“This section presents the outcomes of the study, which investigated the relationship between physical activity and mental well-being using a quantitative research design.”

Organize Findings Clearly

Organize the results in a logical sequence that aligns with your research questions, hypotheses, or the flow of data collection. Consider structuring the section by:

• Research Question or Hypothesis : Address each systematically.
• Themes or Categories : Group similar findings together, particularly in qualitative studies.
• Chronological Order : Present data as it was collected or analyzed.

Incorporate Visual Aids

Use tables, figures, and graphs to present numerical data, trends, and relationships clearly. Visual aids should complement the text and provide readers with an at-a-glance understanding of complex information.

• Label all visuals appropriately (e.g., “Figure 1: Trends in Weekly Exercise Habits”).
• Include explanatory captions to clarify what each visual represents.
• Reference visuals within the text to ensure readers understand their relevance.

“As shown in Table 2, there was a significant increase in mental well-being scores among participants engaging in daily exercise routines.”

Report Quantitative Findings

For quantitative studies, ensure that numerical data is reported accurately and with appropriate statistical detail. Include:

• Descriptive statistics like means, medians, and standard deviations.
• Inferential statistics, including tests performed (e.g., t-tests, ANOVA) and outcomes (e.g., p-values, effect sizes).

“The analysis revealed that participants who exercised for at least 30 minutes daily reported significantly higher well-being scores (M = 85.3, SD = 7.2) than those who did not (M = 68.4, SD = 8.9), t(78) = 5.67, p < .001.”

Summarize Qualitative Findings

For qualitative data, use themes or categories to organize your results. Include illustrative quotes or excerpts from participants to support your findings. Ensure these excerpts highlight the themes you identified during analysis.

“Participants frequently mentioned the stress-reducing benefits of exercise, with one respondent stating, ‘My morning walk helps me clear my mind and focus better throughout the day.'”

Avoid Interpretation

The results section must present data without any subjective analysis. Interpretation and implications should be saved for the discussion section.

Common Mistakes to Avoid

Including too much raw data.

Excessive raw data can overwhelm readers. Instead, present summarized findings, and use appendices for detailed datasets if necessary.

Mixing Results and Discussion

Avoid combining interpretation with results. This can confuse readers and detract from the objective reporting of findings.

Lack of Organization

Disorganized findings can make it challenging for readers to follow your research outcomes. Use headings, subheadings, and logical flow to enhance readability.

Neglecting Negative Results

Report all findings, including those that do not support your hypotheses. Negative or unexpected results are equally important for a comprehensive understanding of your study.

Insufficient Detail

Provide enough context and detail for readers to evaluate your findings. Vague reporting can reduce the credibility of your research.

Examples of Results Section

Quantitative study example.

The survey findings showed that 65% of respondents preferred hybrid work models (n = 520), compared to 20% favoring in-office setups and 15% preferring fully remote work. A chi-square test revealed a significant association between preference and age group, χ²(2, N = 520) = 12.89, p < .001, with younger participants showing the strongest preference for hybrid models.

Qualitative Study Example

The thematic analysis identified three major themes: flexibility, productivity, and work-life balance. Flexibility was the most frequently cited benefit, with one participant noting, “Hybrid work allows me to be productive while still having time for my family.”

Mixed-Methods Study Example

Quantitative data revealed a 25% increase in productivity scores among employees using hybrid models (M = 80.2, SD = 10.5), compared to in-office setups (M = 64.8, SD = 9.3), t(150) = 4.21, p < .001. Qualitative interviews supported these findings, with participants describing hybrid models as “efficient” and “motivating.”

Checklist for the Results Section

• Are all findings relevant to the research questions or hypotheses?
• Is the section logically organized and easy to follow?
• Are visual aids used appropriately to enhance understanding?
• Are statistical details (if applicable) reported accurately and comprehensively?
• Are qualitative findings clearly summarized with evidence?
• Is the distinction between results and discussion maintained?

The results section is a cornerstone of any research paper. By presenting findings clearly and systematically, researchers provide the evidence upon which their conclusions are based. Whether using quantitative, qualitative, or mixed methods, a well-written results section ensures the study’s credibility and clarity. Adhering to best practices, avoiding common errors, and employing effective organization will help you craft a results section that is both informative and impactful.

• Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . Sage publications.
• APA (2020). Publication Manual of the American Psychological Association (7th ed.). American Psychological Association.
• Miles, M. B., Huberman, A. M., & Saldaña, J. (2019). Qualitative Data Analysis: A Methods Sourcebook . Sage.
• Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage.
• Braun, V., & Clarke, V. (2021). Thematic Analysis: A Practical Guide . Sage.

About the author

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Researcher, Academic Writer, Web developer

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How to Write the Dissertation Findings or Results – Tips

Published by Grace Graffin at August 11th, 2021 , Revised On August 13, 2024

Each  part of the dissertation is unique, and some general and specific rules must be followed. The dissertation’s findings section presents the key results of your research without interpreting their meaning .

Theoretically, this is an exciting section of a dissertation because it involves writing what you have observed and found. However, it can be a little tricky if there is too much information to confuse the readers.

The goal is to include only the essential and relevant findings in this section. The results must be presented in an orderly sequence to provide clarity to the readers.

This section of the dissertation should be easy for the readers to follow, so you should avoid going into a lengthy debate over the interpretation of the results.

It is vitally important to focus only on clear and precise observations. The findings chapter of the  dissertation  is theoretically the easiest to write.

It includes  statistical analysis and a brief write-up about whether or not the results emerging from the analysis are significant. This segment should be written in the past sentence as you describe what you have done in the past.

This article will provide detailed information about  how to   write the findings of a dissertation .

When to Write Dissertation Findings Chapter

As soon as you have gathered and analysed your data, you can start to write up the findings chapter of your dissertation paper. Remember that it is your chance to report the most notable findings of your research work and relate them to the research hypothesis  or  research questions set out in  the introduction chapter of the dissertation .

You will be required to separately report your study’s findings before moving on to the discussion chapter  if your dissertation is based on the  collection of primary data  or experimental work.

However, you may not be required to have an independent findings chapter if your dissertation is purely descriptive and focuses on the analysis of case studies or interpretation of texts.

• Always report the findings of your research in the past tense.
• The dissertation findings chapter varies from one project to another, depending on the data collected and analyzed.
• Avoid reporting results that are not relevant to your research questions or research hypothesis.

Does your Dissertation Have the Following?

• Great Research/Sources
• Perfect Language
• Accurate Sources

If not, we can help. Our panel of experts makes sure to keep the 3 pillars of the Dissertation strong.

1. Reporting Quantitative Findings

The best way to present your quantitative findings is to structure them around the research  hypothesis or  questions you intend to address as part of your dissertation project.

Report the relevant findings for each research question or hypothesis, focusing on how you analyzed them.

Analysis of your findings will help you determine how they relate to the different research questions and whether they support the hypothesis you formulated.

While you must highlight meaningful relationships, variances, and tendencies, it is important not to guess their interpretations and implications because this is something to save for the discussion  and  conclusion  chapters.

Any findings not directly relevant to your research questions or explanations concerning the data collection process  should be added to the dissertation paper’s appendix section.

Use of Figures and Tables in Dissertation Findings

Suppose your dissertation is based on quantitative research. In that case, it is important to include charts, graphs, tables, and other visual elements to help your readers understand the emerging trends and relationships in your findings.

Repeating information will give the impression that you are short on ideas. Refer to all charts, illustrations, and tables in your writing but avoid recurrence.

The text should be used only to elaborate and summarize certain parts of your results. On the other hand, illustrations and tables are used to present multifaceted data.

It is recommended to give descriptive labels and captions to all illustrations used so the readers can figure out what each refers to.

How to Report Quantitative Findings

Here is an example of how to report quantitative results in your dissertation findings chapter;

Two hundred seventeen participants completed both the pretest and post-test and a Pairwise T-test was used for the analysis. The quantitative data analysis reveals a statistically significant difference between the mean scores of the pretest and posttest scales from the Teachers Discovering Computers course. The pretest mean was 29.00 with a standard deviation of 7.65, while the posttest mean was 26.50 with a standard deviation of 9.74 (Table 1). These results yield a significance level of .000, indicating a strong treatment effect (see Table 3). With the correlation between the scores being .448, the little relationship is seen between the pretest and posttest scores (Table 2). This leads the researcher to conclude that the impact of the course on the educators’ perception and integration of technology into the curriculum is dramatic.

Paired Samples

Paired samples correlation, paired samples test.

Also Read: How to Write the Abstract for the Dissertation.

2. Reporting Qualitative Findings

A notable issue with reporting qualitative findings is that not all results directly relate to your research questions or hypothesis.

The best way to present the results of qualitative research is to frame your findings around the most critical areas or themes you obtained after you examined the data.

In-depth data analysis will help you observe what the data shows for each theme. Any developments, relationships, patterns, and independent responses directly relevant to your research question or hypothesis should be mentioned to the readers.

Additional information not directly relevant to your research can be included in the appendix .

How to Report Qualitative Findings

Here is an example of how to report qualitative results in your dissertation findings chapter;

The last question of the interview focused on the need for improvement in Thai ready-to-eat products and the industry at large, emphasizing the need for enhancement in the current products being offered in the market. When asked if there was any particular need for Thai ready-to-eat meals to be improved and how to improve them in case of ‘yes,’ the males replied mainly by saying that the current products need improvement in terms of the use of healthier raw materials and preservatives or additives. There was an agreement amongst all males concerning the need to improve the industry for ready-to-eat meals and the use of more healthy items to prepare such meals. The females were also of the opinion that the fast-food items needed to be improved in the sense that more healthy raw materials such as vegetable oil and unsaturated fats, including whole-wheat products, to overcome risks associated with trans fat leading to obesity and hypertension should be used for the production of RTE products. The frozen RTE meals and packaged snacks included many preservatives and chemical-based flavouring enhancers that harmed human health and needed to be reduced. The industry is said to be aware of this fact and should try to produce RTE products that benefit the community in terms of healthy consumption.

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What to Avoid in Dissertation Findings Chapter

• Avoid using interpretive and subjective phrases and terms such as “confirms,” “reveals,” “suggests,” or “validates.” These terms are more suitable for the discussion chapter , where you will be expected to interpret the results in detail.
• Only briefly explain findings in relation to the key themes, hypothesis, and research questions. You don’t want to write a detailed subjective explanation for any research questions at this stage.

The Do’s of Writing the Findings or Results Section

• Ensure you are not presenting results from other research studies in your findings.
• Observe whether or not your hypothesis is tested or research questions answered.
• Illustrations and tables present data and are labelled to help your readers understand what they relate to.
• Use software such as Excel, STATA, and SPSS to analyse results and important trends.

Essential Guidelines on How to Write Dissertation Findings

The dissertation findings chapter should provide the context for understanding the results. The research problem should be repeated, and the research goals should be stated briefly.

This approach helps to gain the reader’s attention toward the research problem. The first step towards writing the findings is identifying which results will be presented in this section.

The results relevant to the questions must be presented, considering whether the results support the hypothesis. You do not need to include every result in the findings section. The next step is ensuring the data can be appropriately organized and accurate.

You will need to have a basic idea about writing the findings of a dissertation because this will provide you with the knowledge to arrange the data chronologically.

Start each paragraph by writing about the most important results and concluding the section with the most negligible actual results.

A short paragraph can conclude the findings section, summarising the findings so readers will remember as they transition to the next chapter. This is essential if findings are unexpected or unfamiliar or impact the study.

Our writers can help you with all parts of your dissertation, including statistical analysis of your results . To obtain free non-binding quotes, please complete our online quote form here .

Be Impartial in your Writing

When crafting your findings, knowing how you will organize the work is important. The findings are the story that needs to be told in response to the research questions that have been answered.

Therefore, the story needs to be organized to make sense to you and the reader. The findings must be compelling and responsive to be linked to the research questions being answered.

Always ensure that the size and direction of any changes, including percentage change, can be mentioned in the section. The details of p values or confidence intervals and limits should be included.

The findings sections only have the relevant parts of the primary evidence mentioned. Still, it is a good practice to include all the primary evidence in an appendix that can be referred to later.

The results should always be written neutrally without speculation or implication. The statement of the results mustn’t have any form of evaluation or interpretation.

Negative results should be added in the findings section because they validate the results and provide high neutrality levels.

The length of the dissertation findings chapter is an important question that must be addressed. It should be noted that the length of the section is directly related to the total word count of your dissertation paper.

The writer should use their discretion in deciding the length of the findings section or refer to the dissertation handbook or structure guidelines.

It should neither belong nor be short nor concise and comprehensive to highlight the reader’s main findings.

Ethically, you should be confident in the findings and provide counter-evidence. Anything that does not have sufficient evidence should be discarded. The findings should respond to the problem presented and provide a solution to those questions.

Structure of the Findings Chapter

The chapter should use appropriate words and phrases to present the results to the readers. Logical sentences should be used, while paragraphs should be linked to produce cohesive work.

You must ensure all the significant results have been added in the section. Recheck after completing the section to ensure no mistakes have been made.

The structure of the findings section is something you may have to be sure of primarily because it will provide the basis for your research work and ensure that the discussions section can be written clearly and proficiently.

One way to arrange the results is to provide a brief synopsis and then explain the essential findings. However, there should be no speculation or explanation of the results, as this will be done in the discussion section.

Another way to arrange the section is to present and explain a result. This can be done for all the results while the section is concluded with an overall synopsis.

This is the preferred method when you are writing more extended dissertations. It can be helpful when multiple results are equally significant. A brief conclusion should be written to link all the results and transition to the discussion section.

Numerous data analysis dissertation examples are available on the Internet, which will help you improve your understanding of writing the dissertation’s findings.

Problems to Avoid When Writing Dissertation Findings

One of the problems to avoid while writing the dissertation findings is reporting background information or explaining the findings. This should be done in the introduction section .

You can always revise the introduction chapter based on the data you have collected if that seems an appropriate thing to do.

Raw data or intermediate calculations should not be added in the findings section. Always ask your professor if raw data needs to be included.

If the data is to be included, then use an appendix or a set of appendices referred to in the text of the findings chapter.

Do not use vague or non-specific phrases in the findings section. It is important to be factual and concise for the reader’s benefit.

The findings section presents the crucial data collected during the research process. It should be presented concisely and clearly to the reader. There should be no interpretation, speculation, or analysis of the data.

The significant results should be categorized systematically with the text used with charts, figures, and tables. Furthermore, avoiding using vague and non-specific words in this section is essential.

It is essential to label the tables and visual material properly. You should also check and proofread the section to avoid mistakes.

The dissertation findings chapter is a critical part of your overall dissertation paper. If you struggle with presenting your results and statistical analysis, our expert dissertation writers can help you get things right. Whether you need help with the entire dissertation paper or individual chapters, our dissertation experts can provide customized dissertation support .

FAQs About Findings of a Dissertation

How do i report quantitative findings.

The best way to present your quantitative findings is to structure them around the research hypothesis or research questions you intended to address as part of your dissertation project. Report the relevant findings for each of the research questions or hypotheses, focusing on how you analyzed them.

How do I report qualitative findings?

The best way to present the qualitative research results is to frame your findings around the most important areas or themes that you obtained after examining the data.

An in-depth analysis of the data will help you observe what the data is showing for each theme. Any developments, relationships, patterns, and independent responses that are directly relevant to your research question or hypothesis should be clearly mentioned for the readers.

Can I use interpretive phrases like ‘it confirms’ in the finding chapter?

No, It is highly advisable to avoid using interpretive and subjective phrases in the finding chapter. These terms are more suitable for the discussion chapter , where you will be expected to provide your interpretation of the results in detail.

Can I report the results from other research papers in my findings chapter?

NO, you must not be presenting results from other research studies in your findings.

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From Data to Discovery: The Findings Section of a Research Paper

Discover the role of the findings section of a research paper here. Explore strategies and techniques to maximize your understanding.

Are you curious about the Findings section of a research paper? Did you know that this is a part where all the juicy results and discoveries are laid out for the world to see? Undoubtedly, the findings section of a research paper plays a critical role in presenting and interpreting the collected data. It serves as a comprehensive account of the study’s results and their implications.

Well, look no further because we’ve got you covered! In this article, we’re diving into the ins and outs of presenting and interpreting data in the findings section. We’ll be sharing tips and tricks on how to effectively present your findings, whether it’s through tables, graphs, or good old descriptive statistics.

Overview of the Findings Section of a Research Paper

The findings section of a research paper presents the results and outcomes of the study or investigation. It is a crucial part of the research paper where researchers interpret and analyze the data collected and draw conclusions based on their findings. This section aims to answer the research questions or hypotheses formulated earlier in the paper and provide evidence to support or refute them.

In the findings section, researchers typically present the data clearly and organized. They may use tables, graphs, charts, or other visual aids to illustrate the patterns, trends, or relationships observed in the data. The findings should be presented objectively, without any bias or personal opinions, and should be accompanied by appropriate statistical analyses or methods to ensure the validity and reliability of the results.

Organizing the Findings Section

The findings section of the research paper organizes and presents the results obtained from the study in a clear and logical manner. Here is a suggested structure for organizing the Findings section:

Introduction to the Findings

Start the section by providing a brief overview of the research objectives and the methodology employed. Recapitulate the research questions or hypotheses addressed in the study.

To learn more about methodology, read this article .

Descriptive Statistics and Data Presentation

Present the collected data using appropriate descriptive statistics. This may involve using tables, graphs, charts, or other visual representations to convey the information effectively. Remember: we can easily help you with that.

Data Analysis and Interpretation

Perform a thorough analysis of the data collected and describe the key findings. Present the results of statistical analyses or any other relevant methods used to analyze the data. 

Discussion of Findings

Analyze and interpret the findings in the context of existing literature or theoretical frameworks . Discuss any patterns, trends, or relationships observed in the data. Compare and contrast the results with prior studies, highlighting similarities and differences. 

Limitations and Constraints

Acknowledge and discuss any limitations or constraints that may have influenced the findings. This could include issues such as sample size, data collection methods, or potential biases. 

Summarize the main findings of the study and emphasize their significance. Revisit the research questions or hypotheses and discuss whether they have been supported or refuted by the findings.

Presenting Data in the Findings Section

There are several ways to present data in the findings section of a research paper. Here are some common methods:

• Tables : Tables are commonly used to present organized and structured data. They are particularly useful when presenting numerical data with multiple variables or categories. Tables allow readers to easily compare and interpret the information presented. Learn how to cite tables in research papers here .
• Graphs and Charts: Graphs and charts are effective visual tools for presenting data, especially when illustrating trends, patterns, or relationships. Common types include bar graphs, line graphs, scatter plots, pie charts, and histograms. Graphs and charts provide a visual representation of the data, making it easier for readers to comprehend and interpret.
• Figures and Images: Figures and images can be used to present data that requires visual representation, such as maps, diagrams, or experimental setups. They can enhance the understanding of complex data or provide visual evidence to support the research findings.
• Descriptive Statistics: Descriptive statistics provide summary measures of central tendency (e.g., mean, median, mode) and dispersion (e.g., standard deviation, range) for numerical data. These statistics can be included in the text or presented in tables or graphs to provide a concise summary of the data distribution.

How to Effectively Interpret Results

Interpreting the results is a crucial aspect of the findings section in a research paper. It involves analyzing the data collected and drawing meaningful conclusions based on the findings. Following are the guidelines on how to effectively interpret the results.

Step 1 – Begin with a Recap

Start by restating the research questions or hypotheses to provide context for the interpretation. Remind readers of the specific objectives of the study to help them understand the relevance of the findings.

Step 2 – Relate Findings to Research Questions

Clearly articulate how the results address the research questions or hypotheses. Discuss each finding in relation to the original objectives and explain how it contributes to answering the research questions or supporting/refuting the hypotheses.

Step 3 – Compare with Existing Literature

Compare and contrast the findings with previous studies or existing literature. Highlight similarities, differences, or discrepancies between your results and those of other researchers. Discuss any consistencies or contradictions and provide possible explanations for the observed variations.

Step 4 – Consider Limitations and Alternative Explanations

Acknowledge the limitations of the study and discuss how they may have influenced the results. Explore alternative explanations or factors that could potentially account for the findings. Evaluate the robustness of the results in light of the limitations and alternative interpretations.

Step 5 – Discuss Implications and Significance

Highlight any potential applications or areas where further research is needed based on the outcomes of the study.

Step 6 – Address Inconsistencies and Contradictions

If there are any inconsistencies or contradictions in the findings, address them directly. Discuss possible reasons for the discrepancies and consider their implications for the overall interpretation. Be transparent about any uncertainties or unresolved issues.

Step 7 – Be Objective and Data-Driven

Present the interpretation objectively, based on the evidence and data collected. Avoid personal biases or subjective opinions. Use logical reasoning and sound arguments to support your interpretations.

Reporting Statistical Significance

When reporting statistical significance in the findings section of a research paper, it is important to accurately convey the results of statistical analyses and their implications. Here are some guidelines on how to report statistical significance effectively:

• Clearly State the Statistical Test: Begin by clearly stating the specific statistical test or analysis used to determine statistical significance. For example, you might mention that a t-test, chi-square test, ANOVA, correlation analysis, or regression analysis was employed.
• Report the Test Statistic: Provide the value of the test statistic obtained from the analysis. This could be the t-value, F-value, chi-square value, correlation coefficient, or any other relevant statistic depending on the test used.
• State the Degrees of Freedom: Indicate the degrees of freedom associated with the statistical test. Degrees of freedom represent the number of independent pieces of information available for estimating a statistic. For example, in a t-test, degrees of freedom would be mentioned as (df = n1 + n2 – 2) for an independent samples test or (df = N – 2) for a paired samples test.
• Report the p-value: The p-value indicates the probability of obtaining results as extreme or more extreme than the observed results, assuming the null hypothesis is true. Report the p-value associated with the statistical test. For example, p < 0.05 denotes statistical significance at the conventional level of α = 0.05.
• Provide the Conclusion: Based on the p-value obtained, state whether the results are statistically significant or not. If the p-value is less than the predetermined threshold (e.g., p < 0.05), state that the results are statistically significant. If the p-value is greater than the threshold, state that the results are not statistically significant.
• Discuss the Interpretation: After reporting statistical significance, discuss the practical or theoretical implications of the finding. Explain what the significant result means in the context of your research questions or hypotheses. Address the effect size and practical significance of the findings, if applicable.
• Consider Effect Size Measures: Along with statistical significance, it is often important to report effect size measures. Effect size quantifies the magnitude of the relationship or difference observed in the data. Common effect size measures include Cohen’s d, eta-squared, or Pearson’s r. Reporting effect size provides additional meaningful information about the strength of the observed effects.
• Be Accurate and Transparent: Ensure that the reported statistical significance and associated values are accurate. Avoid misinterpreting or misrepresenting the results. Be transparent about the statistical tests conducted, any assumptions made, and potential limitations or caveats that may impact the interpretation of the significant results.

Conclusion of the Findings Section

The conclusion of the findings section in a research paper serves as a summary and synthesis of the key findings and their implications. It is an opportunity to tie together the results, discuss their significance, and address the research objectives. Here are some guidelines on how to write the conclusion of the Findings section:

Summarize the Key Findings

Begin by summarizing the main findings of the study. Provide a concise overview of the significant results, patterns, or relationships that emerged from the data analysis. Highlight the most important findings that directly address the research questions or hypotheses.

Revisit the Research Objectives

Remind the reader of the research objectives stated at the beginning of the paper. Discuss how the findings contribute to achieving those objectives and whether they support or challenge the initial research questions or hypotheses.

Suggest Future Directions

Identify areas for further research or future directions based on the findings. Discuss any unanswered questions, unresolved issues, or new avenues of inquiry that emerged during the study. Propose potential research opportunities that can build upon the current findings.

The Best Scientific Figures to Represent Your Findings 

Have you heard of any tool that helps you represent your findings through visuals like graphs, pie charts, and infographics? Well, if you haven’t, then here’s the tool you need to explore – Mind the Graph . It’s the tool that has the best scientific figures to represent your findings. Go, try it now, and make your research findings stand out!

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Organizing Your Social Sciences Research Paper

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

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

Importance of a Good Results Section

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

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

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

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

Structure and Writing Style

I.  Organization and Approach

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

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

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

II.  Content

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

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

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

III.  Problems to Avoid

When writing the results section, avoid doing the following :

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

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

Writing Tip

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

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

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

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How to Write the Results/Findings Section in Research Papers

Introduction

What is the results section of a research paper, what's the difference between the results section and the discussion section, what's the difference between results and findings, how do you report research findings, strategies for writing the findings section.

The results section of a research paper is where the research audience learns the outcomes of a study and it lays the groundwork for establishing the research's contribution to scientific knowledge. The challenge in qualitative research , however, is comprehensively yet concisely presenting the specific aspects of key findings. When the salient points of your qualitative data analysis cannot be easily reduced to tables and figures alone, how do you present the main findings in a way that persuades your research audience?

This article provides a comprehensive explanation of what constitutes a results or findings section in a paper to offer guidance for those who may be inexperienced writing research papers . This article outlines the place of a findings section in a research paper, and the different strategies employed when writing a findings section to reduce complex information down to a concise overview of a research study.

Most research papers follow a logical sequence to report on the various aspects of a study, from the introduction section to the discussion. This sequence outlines the research problem underpinning the study itself, then the methods employed and data collected, followed by a description of the analysis or organization of that data into a meaningful form that addresses the study's research questions .

From this description, the researcher presents the findings or results of this data analysis . The findings section illustrates and explains the key details or insights that the researcher identifies from the study. It is these findings that form the basis of the discussion that details the main takeaways of the research.

In other words, while other sections of a particular paper discuss the study's theoretical developments and contributions to scientific knowledge, the findings section lays out the evidentiary warrants that support those developments. Without this evidence, a research paper runs the risk of presenting unsupported opinions about theory and research.

The results section should show the key findings that you have identified from your data analysis , while the discussion section highlights how those findings address the research questions in your study. The discussion section is where the key theoretical developments and potential applications to real-world practice are proposed, but the findings provide the evidence that supports the proposals in the research paper .

In this sense, the presentation of your findings should focus primarily, if not exclusively, on what the data means based on the analysis you use to interpret the data . The implications of such data are best left to the discussion section.

As you collect articles for your literature review , you might notice that some papers have a results section while others have a findings section. In broad terms, there is no major difference as both sections typically follow the methods section of a research paper . Essentially, results or findings are what come as a result of analyzing raw data generated from the study in order to answer a research question .

However, the use of one term over another is sometimes field-specific or method-specific. Research results often come from experimental or quantitative data , both of which come with expectations of objective predictability. Such results are presented in tables and figures and then interpreted by the authors in prose to set up the argument for the significance of the research.

Research findings, on the other hand, are associated with phenomena that are observed. In naturalistic inquiry, research methods such as ethnography and document analysis seldom, if ever, produce predictable and ordered results. Rather, they sample what is found in the real world and provide the basis for a report on what occurred in a given research setting.

Imagine a simple experiment where one plant is given water while a similar plant is given fertilizer and water. The results would describe the differences in the rate of growth between these two plants in a manner that guides recommendations about how to grow plants. With rare or unforeseen exceptions, these results are meant to be predictable and suggest a logical sequence that leads to successful plant growth.

In contrast, think about how an education research project, for example, might collect data through observations and interviews . This data might provide findings about how a teacher can be successful in connecting with their students to promote learning. Note that these findings do not guarantee the same results in other settings, given the situated nature of classroom teaching and learning and the potential differences between teachers and students. They only suggest a potential relationship between what a teacher does and how their students might benefit as a result.

Understanding this difference thus makes it easier to see where you will find a results section and where you will find a findings section. The physical and natural sciences, where you are more likely to find experimental studies and statistical analyses, expect results that are ordered and predictable. Researchers in the social sciences and humanities, where ethnographic research, interviews, and focus groups are more common, will opt for findings over results.

What are key findings?

Those who are skilled writing research papers understand the task of choosing the most relevant results from the raw data while presenting the research in a transparent manner. In research disciplines that rely on qualitative research methods, it's impossible to present all of the data collected from even a single study. When interview transcripts or field notes can run into dozens of pages, writers are faced with the challenge of choosing which segments of data should be represented in a findings section.

These segments of data are meant to explain and support the study's key themes or findings. In data coding and data analysis, a successful researcher has the responsibility of sorting through the data and separating the key findings from the whole body of data.

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Reporting research findings in a journal-style scientific paper is a matter of choosing the most relevant results organized in a way that sets up the ensuing discussion. This is a challenge with qualitative data that is unstructured in nature and vast in scope.

When dealing with large amounts of data, along with the word limits found in academic writing, there are a number of accepted practices that qualitative researchers employ to present their findings in a meaningful way.

Most qualitative studies rely on the coding of raw data. By annotating the data with short but descriptive keywords or key phrases, a researcher can provide structure to the data to identify key themes and patterns relevant to the research question at hand. Presenting these codes in your findings is thus a matter of describing those themes and detailing how the data highlights those themes.

Depending on your research questions, detailing your codebook in a findings section can be a matter of, among other things, showing the most prevalent codes or the patterns of codes as applied to the data. After you have coded your data and grouped codes according to themes, you can conduct a thematic analysis to determine the most prevalent themes to describe the aspects of the concept or phenomenon you're analyzing. Methods such as discourse analysis and narrative analysis also look at the combinations or sequences of codes to generate useful findings. In that case, qualitative data analysis software can help researchers determine the prevalence of such patterns, providing evidence for the assertions about the data collected.

Researchers rely on tables and visualizations such as heat maps and Sankey diagrams to summarize an analysis of codes in a findings section. These figures are often followed by a systematic description of the themes and patterns in the data and what meanings they point out to help address the study's research questions.

Data that comes directly from research participants can oftentimes be more powerful than the researcher's descriptions of that data. If your research paper includes data generated from observations or interviews , then excerpts of that data can prove more persuasive as evidence given its authentic nature. For example, in a presentation of an interview study where researchers are given open access, nursing research and its insights can be made more credible when the perspectives and opinions of nursing practitioners are directly presented to the research audience.

Field notes can also be presented in findings as data that supports the critical insights of the study. Ethnographic research can produce useful observations documented at the time of data collection that can provide a basis for reflection in the findings section. In either case, excerpts of qualitative data in a findings section are often followed by the researcher's descriptions of those excerpts and the rationale for why they serve as useful evidence supporting the study's claims.

Anthropological and sociological research often relies on the storytelling aspects of academic writing. It can be a significant challenge to capture an entire culture or social practice in a single segment of data or even a set of separate themes. In such cases, past-tense narratives can convey a holistic sense of the qualitative data to allow readers to immerse themselves in the culture that was observed.

The important point about writing narratives in a paper is that they should describe the salient parts of the data that address the research questions in addition to the context that helps the research audience understand the main findings. When constructing a narrative, it can become easy to lead the audience on a series of tangents that can prove confusing or unhelpful. You can craft a powerful narrative that contributes to scientific knowledge as long as it provides the necessary evidence for your claims while leaving out aspects that can turn out to be irrelevant to your research inquiry.

Figures and tables

To be clear, the findings section in a qualitative research paper cannot easily be reduced to a series of simple data visualizations alone, especially in research fields that depend on narratives to convey the important findings of a study. That said, overlooking the visual elements of a paper, particularly in social science research, can limit opportunities in highlighting evidentiary warrants supporting your claims.

Visualizations include networks, word clouds, heat maps, flowcharts, and Sankey diagrams, among others, all of which can restructure raw data in a form that your research audience can quickly and easily understand. Tables are also included in this discussion as they help to reduce large amounts of qualitative data into compact summaries. Even in social science disciplines that rely heavily on qualitative methods and naturalistic inquiry, statistical analyses and presentations of frequencies can serve a useful purpose in understanding patterns and tendencies. The common thread across all of these visualizations is that they complement the prose or written descriptions of your key findings.

A successful presentation of the main findings should set the stage for an engaging discussion section where readers become convinced of the main takeaways of the research. Where discussion sections are about persuasion, findings provide the necessary evidentiary warrants that ultimately make the arguments in the discussion persuasive.

With this in mind, there are a number of broad strategies to consider when presenting your findings.

Adopt the style of the field

Every research field has their own particular style for highlighting the salient points of a study. Research in economics will focus on statistics, relying on tables and figures to make important assertions about the meaning of the raw data . Cultural anthropology, on the other hand, seldom captures statistical data, opting instead for narratives and artifacts to get at the essence of a culture or community. Other fields have their own unique circumstances that dictate the accepted writing practices among researchers in each discipline.

As a result, you will benefit from reading research similar to the study you want to present, not merely for the findings they highlight but also the style in which they present those findings. Matching the tone and style of similar scholars in your field will resonate with your peer reviewers and eventually your research audience.

Provide the necessary context

Every scientific discipline requires the researcher to describe their research setting, the data or resources they are studying, and the means through which they study them. This task is especially challenging within the social sciences as researchers observe some social phenomenon in some social setting, neither of which is perfectly replicable.

As a result, reporting background information necessary to understanding a segment of data is important to persuading your research audience of the salience and relevance of your findings. Whether you're presenting narratives or packaging qualitative data in excerpts or tables, you will still need to describe the context surrounding your data in prose to make the findings accessible to your research audience.

Establish research transparency

Beginning researchers may make the mistake of only presenting the good points of their findings, ignoring negative results from their own research while overemphasizing data that demonstrates promising trends but may not show the entire picture of the phenomenon being studied. Because of this, readers of research may be skeptical of unsupported claims. By extension, they may also look for all of the potential aspects that influence a concept or phenomenon which might confound or contextualize the claims made in the findings.

Transparency is thus an important part of the research writing process, demanding that researchers qualify their findings with important caveats worth considering. These caveats will often be found in the discussion section, where limitations of the study are outlined. However, describing contextual details in the findings can help your research audience assess the persuasive power of the evidentiary warrants you are using to support your claims.

Write clearly and consistently

Scientific theory, even in the social sciences, often employs specific jargon and technical terms. The background and discussion sections, where theory is the main focus, will often employ field-specific language that may not be accessible to researchers unfamiliar with the field. A compelling findings section, on the other hand, requires the researcher to make the findings easily understood by their research audience.

Oftentimes, this means using clear language that is accessible to readers of research who may not have a specific expertise but general interest in the topic you are studying. As a result, be sure to limit the technical or theoretical language you employ in the findings section to only what is necessary. Doing so can ground the readers in a clear understanding of the data, making for a more engaging discussion section that is more credible with its claims more readily acceptable as scientific knowledge.

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