What the Results Section Actually Does
The results section is the most factual part of a research paper — and the part students most often get wrong by trying to make it interesting. Its job is simple: report what you found, clearly and completely, without arguing about what it means. That argument belongs in the discussion. A results section that does its job lets a reader reconstruct your findings without reading anything else in the paper.
Think of it as the evidence room. Your methodology section explained how you collected the data; the results section shows what the data actually said. If a reader can follow your results without flipping back to the methods, you have written it well. If they have to guess what a number refers to, or hunt for a finding you mention in the discussion but never report here, you have not.
Results vs Discussion: Know the Difference
The line between results and discussion is the single most common source of confusion in this section. The rule is straightforward: results report, discussion interprets. “Participants in the intervention group scored a mean of 78.4 (SD = 6.2), compared with 71.9 (SD = 7.1) in the control group” is a result. “This suggests the intervention improves recall” is a discussion point — it belongs in the next section, not here.
That does not mean the results section should be a bare dump of numbers. You still organise, select and order the findings, and you still guide the reader through them. A sentence like “Table 2 shows that scores rose steadily across the three test sessions” is fine: it points at the evidence without interpreting it. The University of Southern California Libraries’ writing guide makes the same distinction in its advice on writing the results section, which is a useful companion to this guide. One practical test: if you can delete a sentence from the results section and the findings are unchanged, the sentence is probably interpretation — move it to the discussion, where your discussion section will be stronger for it.
How to Structure Your Results Section
There is no single mandatory order, but the most reliable structure follows the order of your research questions — or, if you have hypotheses, the order in which you stated them. Readers expect the first result to answer the first question. Start with the basics: if you ran a study with participants, report the sample first — how many took part, who they were, and how many dropped out. Then move through the main findings, one question at a time, ending with any secondary or exploratory findings, clearly labelled as such.
Use text, tables and figures together
Text, tables and figures are not alternatives — they do different jobs. The text highlights the findings that matter most and tells the reader where to look. Tables carry the detail: the full set of numbers, means, standard deviations and test statistics. Figures show patterns — a trend over time, a difference between groups — that a reader can absorb at a glance.
A good rule of thumb: if a finding is central to your argument, say it in the text and show it in a table or figure. If a finding is supporting detail, a table alone is enough. Never repeat a table’s entire contents in the text sentence by sentence; that doubles the length and adds nothing. Instead, point the reader to the table and pick out the numbers that matter: “As Table 1 shows, the gap between groups widened after week four, reaching 12 points by the final session.” Within each research question, lead with the headline finding and work down to the detail — a reader who only reads the first paragraph of each subsection should still come away with the shape of your results.
Presenting Quantitative Results
Quantitative results live or die on precision. Report the numbers a reader needs to judge your claims: sample sizes, means and standard deviations, test statistics, degrees of freedom and p-values — or confidence intervals, which many journals now prefer. “The difference was significant” tells the reader nothing on its own. “The difference was significant, t(58) = 2.84, p = .006, 95% CI [1.8, 9.6]” lets them judge it for themselves. Keep the formatting consistent throughout: decide once how many decimal places you will use and how you will report p-values, then apply the same choices everywhere.
Report negative and null results too
A result that does not support your hypothesis is still a result, and hiding it is one of the few things in academic writing that counts as a genuine integrity problem. If the intervention made no difference, say so, plainly, with the numbers. Negative results are common, they are publishable, and they are exactly what a reader needs to evaluate your claims honestly. The same goes for unexpected results: report them, label them clearly as unexpected, and save the explanation for the discussion.
Tables and Figures That Actually Work
A table or figure should be self-contained: a reader who looks only at it should understand what it shows. That means a clear, descriptive title, labelled columns and axes, units stated, and a note underneath explaining any abbreviations. “Table 1. Results” is not a title. “Table 1. Mean test scores by group and session (n = 60)” is.
Keep tables lean. Every column should earn its place; if a column repeats information the text already gives, cut it. Round numbers sensibly — three decimal places for a percentage is noise, not precision. Number your tables and figures in the order they appear in the text, referring to each one by number, never by “the table below” — the layout may shift during formatting and the reference will break. For figures, choose the chart that matches the data: a line graph for change over time, a bar chart for comparing groups, a scatter plot for a relationship between two variables. A pie chart almost never belongs in a research paper.
Results Section Example
Here is how a short quantitative results paragraph looks when it follows the principles above.
Research question: Does spaced revision improve vocabulary retention in second-year language students?
Results paragraph: “Sixty students completed the study (32 in the spaced-revision group, 28 in the massed-revision group). On the delayed post-test, the spaced-revision group recalled a mean of 78.4 words (SD = 6.2), compared with 71.9 words (SD = 7.1) in the massed-revision group. The difference was significant, t(58) = 2.84, p = .006, 95% CI [1.8, 9.6]. Table 2 presents the full results by session.” Four sentences, no interpretation: the sample, the headline finding with the numbers, the test result, and a pointer to the table. The interpretation — that spaced revision works better, and why — belongs in the discussion.
Common Mistakes (and How to Fix Them)
Interpreting the findings here
The most common mistake, and the hardest habit to break. If you catch yourself writing “this shows that…” or “this suggests…”, stop. Those are discussion sentences. Move them, and keep the results section to what the data said.
Reporting every number you calculated
Not every analysis belongs in the paper. If a test does not answer a research question, it does not need a paragraph — it needs a sentence, or nothing at all. Select ruthlessly: the reader needs the findings that answer your questions, not your entire analysis history.
Forgetting to answer a research question
Before you submit, check each research question against the results section. Every question should have a finding attached to it, and every finding should trace back to a question or a clearly labelled exploratory analysis. If a question has no answer in the results, either the analysis is missing or the question needs rethinking — and it is far better to discover that now than in the discussion. If your questions themselves need work, our guide to writing a strong research question will help you tighten them.
Results Section Checklist
Before you submit, run through this quick check:
- Does every research question have a finding reported here?
- Is every number in the text matched by a table or figure?
- Are tables and figures numbered in order, with clear titles and labels?
- Have you reported negative and unexpected results honestly?
- Is there any interpretation hiding in the results? (Move it to the discussion.)
- Would a reader understand your findings without reading the discussion?
- Are units, sample sizes and test statistics reported consistently?
That last test is the most useful: read the results section on its own, as if it were a standalone summary of your study. If it makes sense, it is ready.
Final Thoughts
A good results section is not exciting, and it should not try to be. Its strength is clarity: findings reported in the order of the questions, numbers a reader can check, tables and figures that stand on their own, and no interpretation smuggled in early. Get this section right and the discussion almost writes itself.
And remember that the results section is only one part of the paper. If your findings are strong but the abstract does not sell them, read our guide to writing a research paper abstract — a clear abstract and a clear results section together make a paper that markers actually enjoy reading.
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