The results chapter has one job that is easy to state and surprisingly easy to blur in practice: report what was found, factually, and save the meaning for the discussion chapter that follows. This guide covers how to organize results by research question, how to present quantitative and qualitative findings clearly, and where the line between reporting and interpreting actually falls.
Quick answer. A results chapter reports what was found, factually, in the same order as the research questions or hypotheses were introduced in the methodology chapter, without interpreting what the findings mean. Interpretation, including implications and comparison to the broader literature, belongs in the discussion chapter that follows.
The single distinction that separates a strong results chapter from a weak one is this: the results chapter states what was found, and the discussion chapter says what it means. Many students blur this line, often without realizing it, by slipping interpretive language into the results section, a sentence noting that a finding "suggests" something, or "supports" a particular explanation. That kind of claim belongs in the discussion, not here, and committees consistently flag it when it appears too early.
This chapter follows directly from the methodology chapter, which describes how the study was conducted; see our nursing dissertation methodology chapter guide for that earlier step. The results chapter answers, factually, what happened when that method was applied. Nothing more, and nothing less.
Keeping results and interpretation separate is not simply a stylistic preference; it protects the integrity of the analysis. A reader who cannot tell whether a claim is a finding or the author's interpretation of that finding cannot fully evaluate either one. Separating them clearly lets a committee assess your data on its own terms before assessing your reasoning about what it means.
Results are most commonly organized by research question or hypothesis, presented in the same order they appeared in the methodology chapter. This lets a reader move directly from "here is what this question asked" to "here is what was found," without having to search for the answer inside a loosely organized narrative of interesting findings.
| Structure element | What it contains |
|---|---|
| Opening summary | A brief restatement of the sample and data collected, without repeating the full methods |
| Descriptive results | Sample characteristics and key variables, described factually |
| Results by research question 1 | The specific finding(s) that answer this question, with supporting table or figure |
| Results by research question 2, 3, etc. | Same pattern, repeated for each question or hypothesis |
| Summary of findings | A brief, factual recap, without interpretation |
Organizing this way also makes the chapter easier for a committee to check against the methodology chapter, since each question can be traced directly from its statement there to its answer here.
Quantitative results chapters typically move from descriptive to inferential statistics, in that order, because descriptive statistics establish who and what was studied before inferential statistics address whether an effect or relationship was found.
Begin with a factual description of the sample, such as demographic characteristics, and of key variables, typically means, standard deviations, frequencies, or percentages as appropriate to the data. This orients the reader before any hypothesis testing is presented.
For each research question or hypothesis, report the actual statistical test used, the resulting statistic, and its significance value, factually and without commentary on what it means for practice or theory. Your own numbers must come from your own actual data analysis; there is no substitute for running your own analysis correctly, since a results chapter's value depends entirely on accurately reporting what your data actually showed.
Qualitative results are typically organized by theme or category that emerged from the analysis, rather than by participant or by research question alone, though themes are usually connected back to the questions that guided the study. Each theme is supported by illustrative participant quotations, which ground the finding in the actual data.
A quotation illustrates what participants said; it is still, at this stage, a finding rather than an interpretation of its broader meaning. A sentence describing what a theme captures, supported by a representative quote, belongs in results. A sentence explaining why that theme matters for practice, theory, or future research belongs in discussion.
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The table below shows the same underlying finding written two ways, once as it belongs in a results chapter, and once as it belongs in a discussion chapter, to make the distinction concrete.
| Results-chapter sentence | Discussion-chapter sentence about the same finding |
|---|---|
| Participants who received the structured education intervention reported higher self-efficacy scores than those who did not (statistic and significance value reported here). | This finding is consistent with prior research suggesting that structured education strategies may support patient confidence in self-management, and it points to a possible mechanism worth exploring in future studies. |
| Three themes emerged from participant interviews: role clarity, time pressure, and peer support. | These themes suggest that organizational factors, not individual skill alone, may shape adoption of the new protocol, which has implications for how future implementation efforts are designed. |
The left column states only what was found. The right column explains what it might mean, and how it connects to the wider literature and practice, which is exactly the work the discussion chapter is for.
Illustrative example, not a real client. This short story is invented to show the pattern, and it contains no real people, institutions, or data.
The problem. A doctoral student's first draft of her results chapter included sentences like "this finding suggests nurses need more training," scattered throughout the reporting of her survey data.
The tension. Her committee flagged nearly every one of those sentences, noting that interpretation was appearing well before the discussion chapter, where it belonged.
The turn. She went through the chapter line by line, moving every interpretive sentence into a separate document for later use in her discussion chapter, and rewrote each remaining sentence to state only what the data showed.
The proof. Her revised results chapter read as a clean, factual account of her findings, organized by research question, with every interpretive comment removed.
The payoff. When she wrote her discussion chapter, she already had a running list of the interpretive points she had pulled out, which made that chapter faster to draft and more clearly connected to the specific findings that supported each claim.
A mixed-methods dissertation typically requires a decision about how to present quantitative and qualitative findings together, and there is more than one defensible approach. The right choice depends on your specific design and your program's expectations.
| Approach | How it is organized | Works well when |
|---|---|---|
| Separate strands, sequential | Quantitative results presented fully, then qualitative results presented fully | The two strands were collected and analyzed largely independently |
| Separate strands, integrated summary | Each strand presented on its own, followed by a short section noting points of convergence or divergence | The design calls for comparing strands without fully merging them |
| Fully integrated by theme or question | Quantitative and qualitative findings woven together under shared research-question headings | The design was explicitly built to explain or contextualize one strand with the other |
Whichever structure you use, keep the report-versus-interpret principle intact in each strand. Noting that a qualitative theme appears alongside a particular quantitative pattern is still reporting; explaining why the two might be connected is discussion-chapter work, even in an integrated presentation.
Results chapters vary considerably in length depending on the number of research questions, the complexity of the analysis, and your program's own template, so there is no single correct page count to aim for. A few formatting conventions, though, hold fairly consistently across programs.
Not every finding needs a table or a figure, and not every finding is clear in prose alone. Choosing the right format for each result is part of what makes a results chapter easy to follow rather than either sparse or cluttered.
| Situation | Best format | Why |
|---|---|---|
| A single statistic answering a simple question | Prose | A table for one number adds clutter without adding clarity |
| Several related statistics across groups or variables | Table | Side-by-side comparison is easier to scan than a paragraph of numbers |
| A trend, distribution, or relationship over a continuous variable | Figure | Visual patterns, such as a trend over time, are often clearer in a chart than in a table of numbers |
| A qualitative theme with supporting quotations | Prose, with an optional summary table of themes | Quotations need context that a table format flattens; a theme-summary table can still help orient the reader |
A useful test is to ask whether a reader could understand the finding faster from the visual than from a well-written sentence. If the answer is no, prose alone is usually the better, less cluttered choice.
Most quantitative dissertations rely on statistical software to run the actual analysis, and translating that output into a results chapter is its own small skill. Raw software output, with its default formatting and extraneous fields, does not belong directly in the chapter; it needs to be converted into a clean, correctly formatted table or a clearly written sentence.
Unexpected or non-significant findings still belong in the results chapter, reported factually alongside the findings that did support the hypotheses. Selectively omitting inconvenient results is not simply a stylistic weakness; it is a research-integrity concern, since it misrepresents what the study actually found. A results chapter that reports the full picture, including results that did not turn out as expected, is stronger and more credible than one that reports only the favorable findings.
Generally no, beyond what is needed to restate a variable or measure that was introduced earlier. Comparing your findings to prior literature is interpretive work that belongs in the discussion chapter.
Report them factually and completely, exactly as you would a supportive finding. A non-significant or contrary result is still a legitimate finding, and interpreting why it may have occurred is discussion-chapter work.
Report the data and statistics needed to answer each research question clearly, typically summarized in tables or figures, rather than including exhaustive raw output. Extensive raw output, where required at all, often belongs in an appendix; follow your program's convention.
Yes, in most programs, clear subheadings for each research question or hypothesis make the chapter easier to follow and easier for a committee to check against the methodology chapter.
Some programs do allow or require a combined results-and-discussion chapter; if so, the report-versus-interpret distinction still matters within it, just organized differently. Follow your program's template.
A results chapter earns a committee's confidence by staying disciplined: report what was found, organize it by research question, and leave interpretation for the chapter built for it. That discipline is what lets your discussion chapter do its own job well, building meaning on top of findings the reader already trusts.
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