The results chapter is the heart of your thesis. After years of designing studies, collecting samples, running surveys, and crunching numbers, this is where your reader finally sees what you actually found. For international PhD students writing in English as a second language, this chapter often becomes the single biggest source of revision requests from supervisors and examiners. The data is real, but the presentation falls short.
This guide walks you through how to write a dissertation results section that examiners praise rather than mark up in red. If you would rather hand the entire process to specialists, our PhD thesis & synopsis writing service includes complete results chapter help, statistical formatting, and table preparation as part of every project.
What the Results Chapter Is (and Is Not)
The results chapter reports your findings. That is its only job. It is not the place to argue, interpret, compare with prior literature, or speculate about implications — that work belongs in the discussion chapter. Many international students lose marks because they blur this line, weaving interpretation into description and leaving the discussion chapter thin.
A clean results chapter answers three questions for the reader: What did I measure? What numbers came out? What patterns are visible in the data? Everything else is a different chapter.
The Standard Structure of a Dissertation Results Section
Most universities — whether in the UK, US, Australia, or India — expect a results chapter to follow a predictable order. Examiners scan for this structure within the first few pages, so giving it to them upfront builds confidence in your work.
- Brief introduction: One short paragraph that restates your research questions or hypotheses and tells the reader what to expect in this chapter.
- Sample description: Demographics of participants or characteristics of the dataset. Response rates, exclusions, and any cleaning steps applied.
- Descriptive statistics: Means, standard deviations, frequencies, and distributions for each key variable.
- Inferential statistics or qualitative themes: Hypothesis tests, correlations, regression outputs, or coded themes — organised by research question.
- Summary table: A short closing section that lists which hypotheses were supported and signposts the discussion.
Stick to this skeleton even if your supervisor allows flexibility. Predictable structure is examiner-friendly structure.
Organise by Research Question, Not by Test
One of the most common mistakes in thesis results writing is dumping every SPSS or R output into the chapter in the order the analysis was performed. This produces a confusing chapter where related findings are scattered across pages.
Instead, group results under each research question or hypothesis as a heading. Under that heading, present the descriptive numbers first, then the test statistic, then the table or figure. The reader should be able to flip to "RQ2" and see everything related to that question in one place. This simple change often turns a disorganised chapter into a publishable one.
Reporting Statistics the Right Way
If your thesis uses quantitative data, examiners will check your statistical reporting line by line. APA 7 is the most widely accepted style for results reporting in social sciences, education, business, and health research. Even if your university uses Harvard or Vancouver for citations, the statistical conventions usually follow APA.
- Always italicise statistical symbols: M, SD, t, F, p, r, n.
- Report exact p values to three decimal places (p = .032), not just "p < .05". Use "p < .001" only when the value is genuinely smaller than that.
- Include effect sizes alongside test statistics — Cohen's d, η2, or r. Examiners and journals now treat effect sizes as mandatory, not optional.
- Round consistently: two decimals for means and standard deviations, three for p values, one for percentages.
- Use a leading zero when a number can exceed 1 (0.85), and drop it when it cannot (p = .032, r = .47).
A correct sentence looks like this: "Postgraduate students reported significantly higher writing anxiety (M = 4.21, SD = 0.83) than undergraduates (M = 3.47, SD = 0.91), t(198) = 5.94, p < .001, d = 0.85."
That single sentence tells the reader the comparison, the descriptive numbers for both groups, the test used, the test statistic with degrees of freedom, the significance level, and the magnitude of the effect. Every quantitative finding in your chapter should be reported with this level of completeness.
Tables and Figures: Earn Their Place
Tables and figures should never duplicate the text. The rule examiners apply is simple: if a finding can be stated clearly in one sentence, do not turn it into a table. If a finding needs more than three numbers to communicate, a table or figure usually serves the reader better than prose.
Each table and figure must include a number, a descriptive title, clear column or axis labels with units, and a note explaining any abbreviations. Refer to every table and figure in the body text before it appears — "as shown in Table 4.2" — rather than letting the reader stumble across it. Do not split a table across two pages if you can avoid it.
For figures, prefer high-contrast greyscale-friendly designs over decorative colour. Many universities still print theses in monochrome, and a chart that relies on red-versus-green distinctions becomes unreadable.
Qualitative Results Need Structure Too
If your thesis uses interviews, focus groups, or document analysis, the same organisational principle applies: structure by research question, then by theme. Open each theme with a short definition, present the supporting evidence, and close with a brief summary of how the theme relates to the question.
Quotations are your raw data. Use them sparingly and purposefully. A useful guideline is no more than two or three quotations per theme, each chosen because it captures something the other quotations do not. Always identify the speaker with a pseudonym and any relevant demographic tag (for example, "Priya, female, age 27, second-year PhD"). Embed short quotes in the paragraph using inverted commas; set longer quotes (more than 40 words) as indented blocks without quote marks.
A frequency count of how often a theme appeared across participants — even just "mentioned by 11 of 15 interviewees" — gives readers a sense of weight without pretending qualitative data is statistical.
Mixed-Methods Theses: Two Mini-Chapters in One
If you ran a mixed-methods study, your results chapter is essentially two mini-chapters glued together. Present the quantitative results first, then the qualitative themes, and close with a short integration paragraph that points out where the two strands agree, disagree, or extend each other. Save the deeper interpretation of that integration for the discussion chapter.
Common Mistakes International PhD Students Make
After reviewing thousands of draft chapters, the same problems show up again and again. Watch for these in your own writing:
- Discussing instead of describing. Phrases like "this surprising finding suggests" or "this aligns with Smith (2019)" belong in the discussion chapter, not here.
- Tense slippage. Results are reported in past tense ("participants scored", "the model predicted"). Tables and figures are described in present tense ("Table 4.1 shows"). Mixing the two distracts the reader.
- Reporting non-significant findings as failures. A non-significant result is still a finding. Report it with the same care as a significant one.
- Hiding negative or unexpected results. Examiners will assume you cherry-picked. Honesty about contrary evidence builds credibility.
- First-person overload. Most disciplines prefer the passive voice or a neutral subject ("the analysis revealed") over "I found" in the results chapter, even if first person is allowed elsewhere in the thesis.
- Inconsistent decimal places, units, or variable names across tables. This is the single fastest way to look careless.
A Practical Drafting Workflow
If you are starting from raw output files and a panic-level deadline, this five-step workflow consistently produces a clean first draft:
- Step 1. List every research question and hypothesis on one page. This becomes your chapter outline.
- Step 2. Under each question, paste the relevant SPSS, R, NVivo, or Atlas.ti output verbatim. Do not edit yet.
- Step 3. Translate each output block into one or two plain-English sentences using the APA reporting format.
- Step 4. Build the tables and figures. Cross-check that every number in the prose matches every number in the tables.
- Step 5. Read the chapter aloud. If a sentence interprets rather than describes, move it to a "discussion ideas" file for later.
This workflow treats the results chapter as a translation task — from software output into examiner-ready academic prose — rather than a creative writing exercise. That mindset shift alone removes a great deal of stress.
When to Get Professional Results Chapter Help
There are a few situations where bringing in expert support is the wise choice rather than a luxury. If your statistical analysis was completed by someone else and you are unsure how to report it correctly, if your supervisor has flagged the chapter as "not publishable quality" twice in a row, if you are translating from Hindi or another first language and the academic register feels out of reach, or if the submission deadline is closer than the rewrite cycle allows — these are all moments where guided thesis writing support saves the project rather than replaces your effort.
The strongest results chapters are not the ones with the most dramatic findings. They are the ones where the reader can follow every claim back to a number, every number back to a test, and every test back to a research question. Build that chain of evidence carefully and your examiners will read with confidence rather than scepticism.