The results section of a research paper is where you report what your study found, clearly and objectively, using text, tables and figures, but without interpreting what those findings mean. It states the facts; the discussion explains them. This guide covers exactly what belongs in the results section, fully worked quantitative and qualitative examples, an eight-step writing process, a results-vs-discussion comparison table, and the dos and don’ts examiners look for, so you can write a results section that is accurate, readable and easy to mark.
The results section in a research paper is where researchers present the findings of their study in a clear, logical and concise manner. It allows readers to see what was discovered, free of interpretation or personal opinion. It is the factual foundation on which the discussion and conclusion sections are built, so getting it right matters more than its modest length suggests.
The purpose of the results section is to report the data collected during the study and show how it aligns with the research objectives or hypotheses. Reported well, it ensures transparency and lets readers independently evaluate the reliability and validity of your findings rather than simply taking your word for them.
| Quick answer | Detail |
|---|---|
| What it is | A factual report of what your study found, organised around your research questions or hypotheses. |
| What it includes | Key data, descriptive and inferential statistics, tables, figures and representative quotes. |
| What it excludes | Interpretation, comparison with other studies, opinion, or literature citations (those go in the discussion). |
| Tense and voice | Past tense, objective, third person. Report; do not argue. |
| Typical length | Roughly 10-15% of the paper, though data-heavy studies run longer. |
What Is the Results Section in a Research Paper?
The results section is a core component of any academic or scientific paper, where researchers summarise their findings. It exists to answer the research questions or test hypotheses set out earlier in the paper, using only the evidence gathered during the study.
This section should include relevant data such as statistical tests, tables, charts and figures that make the findings easy to follow. It should not contain detailed explanations, interpretations or references to previous research. Those belong in the discussion. A useful mental test: every sentence in the results section should describe what happened, never why it happened or what it implies.
A strong results section is also selective. You collected far more data than your reader needs to see. Report the findings that directly address your aims and significant unexpected results; relegate the rest to appendices. Reporting everything you measured, in the order you measured it, is one of the most common ways a results section becomes unreadable.
Example of a Results Section of a Research Paper
The clearest way to understand the section is to read one. The worked example below reports a mixed-methods study on urban green spaces. Notice that it states figures and test outcomes plainly and never strays into explaining why the patterns occurred.
Of the 400 participants, 150 reported regularly visiting parks, 120 reported strolling in gardens, and 130 reported encountering street trees during their daily routines. Psychological measures showed that larger green spaces were associated with greater reductions in self-reported stress.
A one-way ANOVA compared well-being across the three space types and revealed a statistically significant difference, F(2, 397) = 14.6, p < .001. Park visitors reported the highest well-being scores, garden visitors the next highest, and those who only encountered street trees the lowest.
Qualitative analysis of the open-ended responses produced three themes. Park visitors described “relaxation and restoration”; garden visitors emphasised “social interaction with nature and other people”; and those exposed only to street trees described a comparatively limited sense of restoration.
How to Write the Results Section of a Research Paper
Once you understand what the section is and why it matters, the writing process becomes a series of repeatable steps. The eight steps below move from framing the findings to polishing the prose.
Step 1: Restate Your Research Questions and Objectives
Open by briefly reminding the reader what you set out to find. Anchor the section to the research problem the study addresses so that every result that follows has an obvious purpose. Keep this to a sentence or two; the detail already lives in your introduction.
Step 2: Present Findings in a Logical Order
Order matters. Present findings in the same sequence as your research questions, or follow the structure used in your methodology, so the reader can map results onto methods. Maintaining a consistent order across the research process makes the paper feel coherent and helps examiners check that every aim was tested.
Step 3: Use Tables, Graphs and Figures
Visuals carry numerical data far more efficiently than prose. Use tables to summarise exact values and figures (bar charts, scatter plots, histograms) to highlight patterns and comparisons. Number every visual, give it a self-explanatory caption, and refer to it in the text. Never present the same data in both a table and a figure.
Step 4: Report Statistical Analysis for Quantitative Data
Quantitative research deals in objective, numerical evidence, and reporting it well means giving the numbers and their statistical context. Report descriptive statistics (means, standard deviations) alongside inferential results, including test statistics, degrees of freedom, p-values, confidence intervals and effect sizes. The effect size tells readers how large a difference is, not just whether it reached significance.
Step 5: Report Themes and Evidence for Qualitative Data
For qualitative research, findings are descriptive rather than numerical. Present one theme at a time, support each with representative quotes or excerpts, and summarise the pattern without slipping into personal interpretation. Quotes lend authenticity and context, but the surrounding text should describe what participants said, not what you think it proves.
Step 6: Stay Objective
Resist the urge to interpret. Do not argue, compare with other studies, or use evaluative language such as “surprisingly” or “disappointingly”. Keep the tone neutral and the voice impersonal. Any interpretation you write here will need to be removed or repeated in the discussion, so save it for where it belongs.
Step 7: Report Negative or Unexpected Findings
Non-significant and unexpected results are part of an honest record. Report findings that did not support your hypotheses just as clearly as those that did. Omitting inconvenient results is a form of selective reporting that undermines the integrity of the whole paper and is treated as a research-misconduct concern by journals and examiners alike.
Step 8: Ensure Precision and Clarity
Finally, read for clarity. Vague or cluttered reporting causes misinterpretation, so keep sentences short, define units, and avoid unnecessary jargon. A reader should be able to extract every key number without re-reading. Precision in the results section is what allows the discussion to build a credible argument.
How to Present Quantitative Results
Presenting quantitative results means communicating numerical findings from experiments, surveys or statistical analyses precisely enough that another researcher could verify them. The text should report key values; the tables and figures should carry the bulk of the detail.
When reporting statistics, include the essentials: means, standard deviations, test statistics, degrees of freedom, p-values, confidence intervals and correlation coefficients where relevant. Make sure each number visibly answers a research question or tests a hypothesis rather than appearing in isolation. Standard reporting conventions (for example, APA style) exist precisely so readers can interpret your figures at a glance.
Use the worked example below as a template for in-text statistical reporting. It states the comparison, the direction of the change, the test result and the significance in a single clean sentence.
When several values need comparing, a table is clearer than a paragraph. The summary table below shows how the same well-being data from the urban green spaces study can be reported compactly.
| Green space type | n | Mean well-being (0-100) | SD |
|---|---|---|---|
| Parks | 150 | 74.8 | 8.1 |
| Gardens | 120 | 68.2 | 9.0 |
| Street trees | 130 | 61.5 | 9.7 |
How to Present Qualitative Results
Presenting qualitative results centres on themes, patterns and meanings drawn from interviews, observations or open-ended survey responses. Unlike quantitative data, qualitative findings are descriptive and interpretive in character, so structure carries even more weight.
Begin by identifying the major themes your analysis produced, then organise them logically, usually in line with your research objectives. Introduce each theme, support it with one or two direct quotes, and close with a brief, neutral summary of the pattern. Anonymise participants and label quotes consistently (for example, P12, female, 34) so readers can see the spread of voices.
“The results should tell the reader what you found; the discussion is where you tell them what it means. Mixing the two is the single most common reason a results section gets sent back for revision.” – Editorial guidance summarised across major journal author guidelines.
Keep the analytical commentary light. It is acceptable to note that a theme recurred across most participants, but reserve any claim about why the theme arose, or how it compares to existing theory, for the discussion. A clean separation between findings and meaning is what distinguishes a results section that reads as evidence from one that reads as opinion.
How to Structure the Results Section
A well-organised results section follows a predictable shape that examiners can navigate quickly. Begin with a one-line reminder of what you set out to test, then present the most important findings first and supporting detail afterwards. Within each subsection, lead with the headline result in the text, then point the reader to the table or figure that contains the supporting numbers. This ‘text first, visual second’ rhythm stops the reader having to decode a table before they know why it matters.
For longer papers, use subheadings that mirror your research questions or hypotheses. A study with three aims might have three clearly labelled subsections, each reporting only the data relevant to that aim. This structure makes it obvious that every question has been answered and prevents related findings from drifting apart. In mixed-methods papers, report the quantitative findings and qualitative findings in separate, signposted blocks so the reader is never unsure which type of evidence they are reading.
Consistency in presentation also matters. Use the same number of decimal places throughout, report the same statistics for comparable tests, and keep your table formatting uniform. Small inconsistencies make a results section look careless even when the underlying analysis is sound, and they slow the reader down. A clean, consistent structure signals that the data behind it has been handled with the same care.
Results vs Discussion vs Conclusion: Key Differences
Students often blur these three sections together. The simplest way to keep them apart is to remember that the results report, the discussion interprets, and the conclusion zooms out. The differences among the three are summarised below.
| Results | Discussion | Conclusion | |
|---|---|---|---|
| Purpose | Present the findings | Interpret the findings | Summarise and close the argument |
| Content | Data, tables, figures, key statistics | Explanations, limitations, comparison with prior work | Recap, implications, future research |
| Tone | Objective | Interpretive | Conclusive |
| Key question | What did you find? | What does it mean? | So what now? |
If you are unsure where a sentence belongs, ask which question it answers. Anything answering “what did I find” stays in the results; anything answering “what does this mean” moves to the research paper discussion. For a ready-made structure that keeps these sections cleanly separated, our research paper template lays out every section in order.
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Dos and Don’ts of the Results Section
A quick checklist helps catch the errors examiners flag most often. Use the table below as a final pass before you submit.
| Do | Don’t |
|---|---|
| Write in an academic, objective, past-tense voice. | Don’t present data that is irrelevant to your research questions. |
| Report test statistics, p-values and effect sizes in full. | Don’t interpret findings or compare them with other studies here. |
| Include negative and unexpected findings. | Don’t hide or downplay results that contradict your hypotheses. |
| Refer to every table and figure in the text. | Don’t duplicate the same data in both a table and a figure. |
| Define units, symbols and abbreviations clearly. | Don’t use vague, evaluative or emotive terminology. |
Common Mistakes to Avoid
Even strong studies lose marks at the write-up stage. The most frequent slips are easy to fix once you know to look for them:
- Sliding into interpretation, the single most common error and the reason most results sections are returned for revision.
- Reporting raw, unprocessed data without summarising it into meaningful statistics or themes.
- Including tables or figures that are never mentioned in the text.
- Omitting effect sizes or confidence intervals and relying on p-values alone.
- Cherry-picking favourable results while quietly dropping the rest.
- Overloading the section with every measurement instead of moving secondary data to appendices.
Avoid these and your results section will do its real job: presenting trustworthy evidence so cleanly that the reader trusts the interpretation you build on it next. A precise, honest results section is the backbone of a credible research paper and the part examiners scrutinise most closely.
