Table of Contents
- Why the Dissertation Results Chapter Stalls So Many Candidates
- Dissertation Results Chapter Structure: A Section-by-Section Blueprint
- Step-by-Step: How to Write the Results for Quantitative, Qualitative, and Mixed Methods Studies
- Dissertation Findings Examples: What Strong Results Writing Looks Like
- Dissertation Results Chapter Length: How Long Is Long Enough?
- Dissertation Results vs Discussion: Where the Line Actually Sits
- Common Mistakes, Transparent Reporting, and a Final Quality-Control Checklist
- Conclusion: From Stalled Chapter to Signed Approval
- Frequently Asked Questions
Last Updated: October 7, 2026
Why the Dissertation Results Chapter Stalls So Many Candidates
The dissertation results chapter stalls candidates because it demands a different skill than every chapter before it: reporting what the data says without arguing for what it means.
That psychological shift is the real barrier. The Council of Graduate Schools PhD completion project has documented for years how completion rates fall away after coursework ends, when structured support disappears.
Results, Analysis, and Discussion: Three Different Jobs
The results chapter is the factual report of what your study found; analysis is the interpretation of what those findings mean; discussion is the argument for why they matter to the field.
Confusing these three jobs is the most common structural error we correct. A results chapter states outcomes; it does not defend them, contextualize them against prior literature, or recommend anything.
Keep the boundary simple: if a sentence could be challenged with "compared to what?", it probably belongs in the discussion.
Dissertation Results Chapter Structure: A Section-by-Section Blueprint
A strong dissertation results chapter structure follows a predictable arc: restate the research questions, present findings in the order the questions were asked, and stop. Every table and theme should trace back to a specific research question or hypothesis.
The Opening Restatement and Roadmap
Open with two or three sentences restating your research aims and previewing the chapter's organization. This is a signpost, not a methodology summary. Something as plain as "This chapter presents findings for the three research questions guiding this study, beginning with descriptive statistics, followed by inferential results, and closing with thematic findings" tells your committee exactly where they are.
Organizing by Research Question, Not by Instrument
Organize findings around research questions, not the survey, interview protocol, or order in which data arrived. Instrument-based organization forces readers to reassemble your answers; question-based organization delivers each answer as a complete unit, which is how examiners read.
Step-by-Step: How to Write the Results for Quantitative, Qualitative, and Mixed Methods Studies
The workflow for writing dissertation results changes with your methodology. Quantitative chapters move from descriptive statistics to inferential tests to a hypothesis summary; qualitative chapters move from codes to themes to participant evidence; mixed methods chapters sequence the two strands deliberately.
Quantitative: Statistics, Tables, and Reporting Conventions
Draft the quantitative chapter in five passes, not one.
- Build the empty skeleton first. Create one subsection per research question or hypothesis, then insert the tables and figures that answer each. Writing to an empty table forces you to decide what the reader must see.
- Write the descriptive layer. Sample size, response rate, demographics, means, standard deviations, ranges, and reliability coefficients (for example, Cronbach's alpha) belong here, they make every inferential test legible.
- Write the assumption checks. Normality, homogeneity of variance, multicollinearity, independence, report what you tested and found, briefly. Its absence reads as an oversight.
- Write the inferential layer. One paragraph per test, in the order the hypotheses were stated.
- Write the hypothesis summary. A short table or paragraph stating supported, not supported, or partially supported for each hypothesis. No interpretation.
For each inferential test, report the test statistic, degrees of freedom, p-value, and effect size together.
A complete sentence looks like this:
A multiple regression was conducted to predict engagement from tenure, role, and team size. The model was statistically significant, F(3, 214) = 8.42, p < .001, and accounted for 10.6% of the variance in engagement scores (R² = .106, adjusted R² = .094). Tenure was the only significant predictor (β = .28, p = .002), with a small-to-moderate effect (f² = .12).
Notice the sentence reports the model, the fit, the predictor, and the effect size, and stops. It does not explain why tenure matters; that belongs in the discussion chapter.
Follow the American Psychological Association style guidance for how statistics, tables, and figures are formatted in your discipline. Non-significant results are results.
Qualitative: Themes, Codes, and Participant Voice
Draft the qualitative chapter in four passes.
- Restate the analytic approach in two or three sentences. Name the method (thematic analysis, grounded theory, IPA, content analysis) and the coding process. Signpost your methodology chapter; do not re-describe it.
- Present the theme structure. Give each theme a clear label, a one-sentence definition, and its subthemes, so readers see the shape of your findings before the evidence.
- Present each theme with evidence. State the finding in the first sentence, then support it with participant evidence.
- Close with a brief summary of the thematic landscape. No interpretation, just what the themes collectively show.
Quote sparingly: one well-chosen excerpt per subtheme outperforms five that repeat the same point. Preserve participant voice through verbatim quotes, but trim filler with ellipses rather than paraphrasing inside quotation marks.
A complete theme paragraph looks like this:
Theme 2: Workload as a barrier to reflective practice. Participants described time pressure as the primary obstacle to engaging in reflective practice, framing reflection as something they did "when there was space" rather than as a routine. This theme appeared across all three focus groups. As one participant explained, "By the time I finish the shift, I just want to go home. Reflection feels like a luxury I don't have" (P12). A second participant described the same constraint more bluntly: "We're told to reflect, but nobody gives us the time to do it" (P04).
Notice the paragraph states the theme, defines it, shows its prevalence, and supports it with two short quotes. It does not compare the finding to the literature.
Mixed Methods: Sequencing Without Repeating Yourself
State your sequencing logic, then present each strand in that order. Explanatory sequential designs put quantitative results first, with qualitative findings explaining them; exploratory designs reverse the order; convergent designs present both strands side by side and reserve integration for a dedicated subsection.
The integration point needs one explicit paragraph, not a repeat of both sets of findings. A strong integration paragraph names the convergence or divergence directly:
The quantitative strand found that tenure was the only significant predictor of engagement, while the qualitative strand identified workload and recognition as the two themes participants raised most often. These findings converge on the conclusion that engagement is shaped less by demographic factors than by day-to-day working conditions, though the quantitative strand did not measure workload directly, a limitation addressed in Chapter 5.
That paragraph does the work of integration: it names what each strand found, states where they agree or disagree, and flags the boundary, without re-reporting statistics or re-quoting participants.
Dissertation Findings Examples: What Strong Results Writing Looks Like
Strong dissertation findings examples share three traits: they answer the research question in the first sentence of each subsection, present evidence before interpretation, and label every table and figure so it stands alone. What follows is what those traits look like in practice, a worked example, an annotated table, and a figure caption you can adapt.
A Worked Example: Weak vs. Strong
A weak version reads: "The survey produced interesting results about employee engagement."
A strong version reads: "Research Question 1 asked whether tenure predicts engagement.
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The strong version does not explain why tenure matters, that belongs in the discussion chapter, and it names the research question in the first sentence, so a reader skimming for RQ1 finds the answer immediately.
An Annotated Results Table
A results table should stand alone: a reader who reads only the table and its caption should understand what was tested and found, without returning to the body text. Here is a template you can adapt:
| Predictor | B | SE B | β | t | p | 95% CI |
|---|---|---|---|---|---|---|
| (Constant) | 2.41 | 0.38 | , | 6.34 | < .001 | [1.66, 3.16] |
| Tenure | 0.19 | 0.06 | .28 | 3.17 | .002 | [0.07, 0.31] |
| Role | 0.08 | 0.11 | .05 | 0.73 | .467 | [-0.14, 0.30] |
| Team size | -0.02 | 0.04 | -.03 | -0.50 | .618 | [-0.10, 0.06] |
Note. N = 218. Dependent variable: engagement score. R² = .106, adjusted R² = .094, F(3, 214) = 8.42, p < .001. CI = confidence interval.
Three things make this table work: the note reports the model fit, non-significant predictors are included rather than hidden, and the confidence intervals show each estimate's precision, the tenure effect is small but reliably above zero, while the role and team-size intervals cross zero.
An Annotated Figure Caption
Figure captions follow the same logic: they should let the figure stand alone. A weak caption reads "Figure 1. Engagement scores." A strong caption reads:
Figure 1. Mean engagement scores by tenure group. Error bars represent 95% confidence intervals. Sample sizes were n = 71 (0-2 years), n = 83 (3-5 years), and n = 64 (6+ years). Scores were measured on a 5-point Likert scale (1 = strongly disagree, 5 = strongly agree).
That caption tells the reader what is plotted, what the error bars mean, how many people are in each group, and what the scale is. It does not interpret the pattern. Interpretation belongs in the discussion chapter.
A Qualitative Findings Paragraph
For qualitative work, the equivalent of a strong table is a theme paragraph that states the theme, defines it, shows its prevalence, and supports it with evidence:
Theme 3: Recognition as a motivator. Participants described recognition, particularly from supervisors, as the factor that most reliably sustained their engagement. This theme appeared in 14 of 18 interviews. As one participant put it, "A simple thank-you from my manager changes how I feel about the whole week" (P09). A second participant described the same dynamic: "It's not the money. It's knowing someone noticed" (P15).
Notice the paragraph does not compare the finding to the literature. That comparison belongs in Chapter 5.
A Quick Self-Check
Before you move on from any subsection, ask:
- Does the first sentence name the research question or hypothesis?
- Does the evidence come before any interpretation?
- Does every table and figure stand alone with its caption and note?
If you can answer yes to all five, your findings section is doing its job.
Dissertation Results Chapter Length: How Long Is Long Enough?
There is no universal page count, but dissertation results chapter length is governed by one rule: long enough to report every finding completely, short enough that no paragraph repeats another.
A practical target is 15 to 25 pages of body text for a traditional five-chapter dissertation, excluding tables, figures, and references. If your chapter is running far past that, check for interpretation that belongs in Chapter 5.
Dissertation Results vs Discussion: Where the Line Actually Sits
The distinction between dissertation results vs discussion comes down to tense and purpose. Results are reported in past tense and state what happened. Discussion is written in present tense and argues what it means.
| Chapter Element | Results Chapter | Discussion Chapter |
|---|---|---|
| Core purpose | Report findings | Interpret and argue |
| Tense | Past | Present |
| Literature cited | Rarely | Frequently |
| Recommendations | None | Central |
| Limitation talk | Minimal | Substantial |
Common Mistakes, Transparent Reporting, and a Final Quality-Control Checklist
Transparent reporting means showing what you did, including what did not work. Report response rates, missing data, excluded cases, and any deviations from your approved plan. The EQUATOR Network reporting guidelines publish discipline-specific standards that examiners increasingly expect candidates to follow.
Common mistakes we flag in review:
- Presenting findings organized by instrument instead of research question
- Reporting p-values without effect sizes or confidence intervals
- Interpreting results inside the results chapter
Before you submit the chapter, run this checklist:
- Every research question has a labeled subsection
- Every table and figure is numbered, titled, and referenced in the text
- Every inferential test reports statistic, df, p-value, and effect size
Conclusion: From Stalled Chapter to Signed Approval
The results chapter rewards discipline more than brilliance. Report what you found, organize it around your questions, and resist the urge to argue before the discussion chapter invites you to.
If you are stalled at exactly this point, DissertationPrep exists for it. Our Quantitative Dissertation Expertise pairs you with a statistics PhD who works through your output line by line, and our Qualitative Dissertation Expertise connects you with a mentor who understands thematic analysis in practice, not just in theory. When the chapter is drafted, our Dissertation Editing, APA Format, Grammar service handles formatting and consistency so your committee reads findings, not typos.
Frequently Asked Questions
What should be included in a dissertation results chapter?
A results chapter reports what your data showed, organized around your research questions or hypotheses. Include a short restatement of each question, the descriptive statistics or themes that answer it, and the tables, graphs, or participant quotes that support the finding. Report numbers exactly as your analysis produced them, including non-significant results and confidence intervals. Keep interpretation out: no implications, no comparison to prior literature, and no recommendations for practice. Those belong in the discussion chapter, which follows the results.
Should the results and discussion chapters be separate?
At most institutions, yes. The dissertation results vs discussion split keeps reporting and interpretation distinct, so your committee can judge the data on its own terms before you argue what it means. The results chapter states what happened; the discussion chapter explains why it matters, how it compares to existing research, and what limitations apply. Some programs allow a combined chapter, so confirm your template and program handbook before drafting. When in doubt, separate them: it is easier to merge later than to untangle interpretation from findings.
How long should a dissertation results chapter be?
Length follows the number of research questions and the volume of data, not a fixed page count. Quantitative chapters with several hypotheses often run 20 to 30 pages once tables and figures are included; qualitative chapters can run longer because theme descriptions and participant quotes take space. A single-question study may need only 12 to 15 pages. Your dissertation results chapter length should let every research question receive a complete, evidence-backed answer. Check your program's template for any stated limits, and ask your chair what they expect for your design.
How do you present quantitative results in a dissertation?
Work through your research questions in order. For each one, report descriptive statistics first (means, standard deviations, frequencies), then the inferential test you ran, with the test statistic, degrees of freedom, p-value, and effect size. Follow APA reporting conventions and place full output tables in an appendix when the chapter would otherwise become unreadable. State significance plainly, and report non-significant findings with the same care as significant ones. If interpreting the output feels uncertain, a quantitative dissertation mentor can review your analysis before your chair does.
How do you write qualitative findings in a dissertation?
Present each theme as a subsection tied to a research question, and support it with direct participant quotes that illustrate the pattern rather than repeat it. Explain how codes were grouped into themes, and note how many participants expressed each theme so readers can judge its weight. Keep your own commentary minimal; the data should carry the section. Qualitative reporting also depends on your methodology, since a phenomenological study and a grounded theory study organize findings differently. A mentor experienced in your specific approach can help you match the conventions your committee expects.
Is it too late to get help with the results chapter if I am already deep into ABD?
No. The results chapter is one of the most common sticking points in the ABD phase, and it is also one of the most fixable, because the work is bounded: you are reporting data you already collected, not designing a new study. Focused support works well here. A 30 Minute Dissertation Coaching Phone Session, for example, is built for exactly this kind of targeted question, whether that is statistics, methodology, or clarifying findings versus conclusions. Many candidates find that one structured conversation restores the momentum they lost.