How to Write a Results Section in Thesis: A Step-by-Step Guide

The results section of a thesis is the chapter where you objectively report the findings of your research based on the methodology applied. It presents pure data without interpretation, serving as the factual foundation for your later conclusions.

This results chapter appears directly after your Methodology section and right before your discussion section.

Typically, it makes up about 10-15% of your total thesis word count, which translates to roughly 5 to 10 pages depending on your specific discipline.

Below, we will break down exactly how to write thesis results step-by-step.

Table of contents

What Should a Results Section Include?

To build a solid foundation for your data, you must include several core elements in the results section:

  • Introductory context: a brief reminder of the research question to orient the reader before presenting numbers.

  • Main findings: the raw data and statistical outcomes that directly answer your research questions.

  • Visual aids: tables, charts, and graphs that condense complex numerical data into readable formats.

  • Negative results: data that did not support your hypothesis, which is crucial for academic transparency.

Pro Tip

Organize these elements by research question rather than by the type of statistical test you ran. This keeps the reader focused on your academic goals rather than the mathematical mechanics.

How to Write a Results Section: A Step-by-Step Guide

Reporting your findings requires a methodical approach that prioritizes clarity over creativity. Below we will explore the specific writing phases required to construct a logical results chapter.

You must write this entire section in the past tense, as you are reporting on events and experiments that have already occurred.

Step 1: Start a Results Section

The goal of the initial phase is to gently re-orient your reader to the purpose of your study before diving into heavy data.

Start by restating your primary research question or hypothesis. Then, briefly summarize the data collection method you used to test it. Do not paste your entire methodology chapter here. Keep it to one or two sentences that bridge the gap between how you gathered data and what that data revealed.

Here is an example of how to open your chapter effectively.

Example: Introductory Paragraph

To determine the physiological impact of sleep deprivation, we measured the salivary cortisol levels of 50 participants over a 48-hour period. The data collected from these biological samples was analyzed using an independent samples t-test to compare the baseline stress hormones of the control group against the sleep-deprived group.

Step 2: Present the Data Logically

Once your introduction is set, you must structure your findings sequentially based on your specific research questions or hypotheses.

Group related data points under clear subheadings. For instance, if your study addresses three hypotheses, create three corresponding sub-sections. Within each sub-section, report the most significant data first, followed by secondary or supporting findings.

A common mistake is presenting all the data in the order it was collected. Instead, organize it by theme and importance.

Example: Thematic Grouping

Survey responses regarding perceived stress were categorized into three main themes: emotional volatility, physical fatigue, and cognitive fog. Over 85% of respondents in the experimental group reported a significant increase in "emotional volatility," making it the most prominent subjective finding.

Step 3: Highlight Key Findings Without Interpretation

Your primary goal in the results section is to report your findings with strict objectivity.

Stating facts means presenting the exact numbers, percentages, or statistical significance (e.g., "Scores decreased by 15%"). Interpreting meaning involves explaining why those numbers occurred or what they imply for the broader field (e.g., "This decrease suggests that students are studying poorly").

Save all explanations of why the results matter for the Discussion chapter. If you catch yourself using words like "suggests," "proves," or "implies," you are starting to interpret the data.

Notice how the following sample strictly sticks to the mathematical outcomes.

Example: Objective Reporting

Participants in the sleep-deprived group scored an average of 62% on the memory retention test (M = 62, SD = 4.5). In contrast, the control group achieved an average score of 88% (M = 88, SD = 3.2). A one-way ANOVA revealed a statistically significant difference between the two groups, F(1, 48) = 14.2, p < .001.

Step 4: Incorporate Tables and Figures

Visualizing complex numerical data allows your reader to grasp large trends.

You must number every table and figure sequentially as they appear in the text (e.g., Table 1, Figure 1). Place a clear, descriptive title above tables, but place captions below figures or charts. Furthermore, you must explicitly cite every visual element within your body paragraphs. Never insert a chart without first directing the reader to look at it (e.g., "As shown in Figure 1").

Example: Caption Formatting

Figure 1. Comparison of mean cognitive test scores and salivary cortisol levels between the control group and the sleep-deprived experimental group over a 48-hour period. Error bars represent standard deviations.

Formatting and Style Guidelines

Maintaining a formal academic tone requires you to eliminate personal bias, emotional language, and colloquialisms. Rely on precise, measurable terms instead of vague adjectives like "huge" or "terrible."

Folow these rules when writing a results section:

  • Always italicize statistical variables and letters (like p, M, SD, and F) to differentiate them from standard text.

  • Round your statistical outputs to a consistent number of decimal places - typically two (e.g., 4.56) - throughout the entire document.

  • Maintain double-spacing and standard one-inch margins around any inserted tables to ensure the document remains legible.

To keep your results section professional, be sure to avoid these frequent errors:

  • Do not duplicate data by writing out every single number that already appears in a table.

  • Do not use raw data outputs directly from SPSS or Excel without reformatting them to your university's style guide (e.g., APA or MLA).

  • Do not hide negative results; omitting data that contradicts your hypothesis is considered academic misconduct.

Thesis Results Section Example

See the example below to get an idea how a results section should look.

Example: Psychology Research Study Results

This study aimed to evaluate the impact of acute sleep deprivation on cognitive performance and stress levels in university students. Data was collected through physiological cortisol swabs, subjective stress surveys, and a standardized memory retention test.

Cognitive Performance

The memory retention test scores indicated a significant decline in cognitive function among sleep-deprived participants. The experimental group scored significantly lower (M = 62%, SD = 4.5) compared to the well-rested control group (M = 88%, SD = 3.2). This difference was statistically significant, t(48) = 5.4, p < .001, as detailed in Table 2.

Stress Indicators

Analysis of the survey responses revealed that 85% of the experimental group reported high emotional volatility. Corresponding physiological data supported these survey results; salivary cortisol levels in the sleep-deprived group were on average 2.4 times higher than the baseline measurements (see Figure 1).

Final Thoughts on How to Write Results in Thesis

Ultimately, your objective in the results chapter is to present a clear and logically organized summary of the data you uncovered. Make sure you read your section backward, paragraph by paragraph, to easily spot numerical typos and ensure your statistical symbols are properly italicized.