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Qualitative Findings and Analysis: A Dissertation Chapter Example

CampusScribe Team
20 October 2026
10 min read

A worked example of a qualitative findings and analysis chapter: from codes to themes, how to present quotations, and how to analyze without drifting into discussion.

The qualitative findings chapter is where many dissertations stumble. You have hours of interview transcripts or pages of field notes, and you have to turn them into a clear account that answers your research question. Students often swing between two extremes: a chapter that is a string of long quotations with no analysis, or a chapter that makes claims with no evidence.

This guide shows how to build a strong qualitative findings and analysis chapter, using a small worked example with invented data. It covers how to move from raw data to themes, how to present quotations, how to keep findings separate from discussion, and which mistakes to avoid. The approach applies to interviews, focus groups, open-ended survey responses, and documents. For a general overview of the chapter, see Dissertation Findings Chapter: How to Write It Correctly.

All examples below are made up for illustration. They are not real data, and you should never present invented quotations as real findings in your own dissertation.

What a Qualitative Findings Chapter Has to Do

In quantitative work, results are numbers, and the chapter reports statistics. In qualitative work, results are patterns of meaning, and the chapter has to show them. Your job is to:

  • Present the themes or categories you developed from the data
  • Support each theme with evidence in the form of participants' words
  • Explain what each theme shows about your research question
  • Make your analytic process visible, so the reader trusts your interpretation

Some departments combine "findings" and "discussion" in one chapter, and others keep them apart. Check your guidelines. If they are separate, keep your findings chapter focused on what the data show, and save wider interpretation and comparison with the literature for the discussion. See Dissertation Discussion Chapter.

From Raw Data to Themes: The Process

Most qualitative analysis moves through stages. One widely used approach is reflexive thematic analysis, described by Braun and Clarke, which has six phases.

  1. Familiarize yourself with the data. Read and reread transcripts, noting initial ideas.
  2. Generate initial codes. Label meaningful segments of text with short codes.
  3. Search for themes. Group related codes into potential themes.
  4. Review themes. Check that themes fit the coded data and the whole dataset.
  5. Define and name themes. Write a clear description of what each theme is about.
  6. Write up. Produce the report, selecting vivid examples.

Other approaches, such as grounded theory, content analysis, or interpretative phenomenological analysis, have their own steps. Whichever you use, your methodology chapter should describe it and your findings chapter should reflect it. See Dissertation Research Methods and Trustworthiness in Qualitative Research.

A Worked Example (Invented Data)

Suppose your research question is: How do first-year nursing students experience their first clinical placement?

You interviewed ten students. After reading the transcripts, you coded segments such as:

  • "afraid of making a mistake"
  • "relying on a buddy nurse"
  • "feeling invisible on the ward"
  • "learning from small tasks"
  • "pride after first patient"
  • "tired after long shifts"

Next, you grouped related codes into themes:

  • Theme 1: Fear of error and the need for reassurance. Codes: afraid of making a mistake, double-checking, relying on a buddy nurse.
  • Theme 2: Belonging and being seen. Codes: feeling invisible, being introduced by name, being included at handover.
  • Theme 3: Growing confidence through small wins. Codes: learning from small tasks, pride after first patient, praise from patients.
  • Theme 4: Physical and emotional strain. Codes: tired after long shifts, difficulty switching off.

These four themes become the main sections of your findings chapter.

Opening the Chapter

Start with a short introduction that reminds the reader of your research question and gives a roadmap. Then describe the participants, since readers need to know who is speaking. Use codes or pseudonyms, not real names.

Example (invented): "Ten first-year nursing students took part, aged 18 to 34, from two universities. Participants are identified by pseudonyms. Analysis produced four themes: fear of error and the need for reassurance, belonging and being seen, growing confidence through small wins, and physical and emotional strain. Each is presented below."

A short table or list of participants is useful, but check whether your institution wants it in the main text or an appendix. See How to Write a Dissertation Appendix.

Writing a Theme Section

A good theme section follows the same pattern throughout the chapter. It starts with a clear statement of the theme, then supports it with evidence, then analyzes the evidence.

1. Name and define the theme. Give the theme a name that says something. "Fear of error and the need for reassurance" is better than "Fear."

2. Introduce the pattern. Tell the reader how widespread it is, without fake precision. For small qualitative samples, use phrases such as "most participants," "several participants," or "two participants," and avoid percentages.

3. Present quotations as evidence. Choose short, vivid extracts that illustrate the point.

4. Analyze each quotation. Explain what it shows and why it matters. Do not leave quotations to speak for themselves.

5. Show variation. Include differing or contradictory views, since they strengthen your credibility.

6. Link back to the research question. Close the section by saying what the theme tells you about the question.

Example theme section (invented)

"Theme 1: Fear of error and the need for reassurance. Almost all participants described anxiety about making a mistake in front of patients or staff. This fear was strongest in the first two weeks. As Amina put it, 'I kept thinking, what if I do something wrong and someone gets hurt?' Her words show that the fear was not only about being judged but about patient safety. Several participants managed the fear by staying close to a buddy nurse. Daniel explained, 'She would just nod, and I knew I was doing it right.' This reliance on small signs of approval suggests that reassurance functioned as a form of supervision, even when none was formally offered. One participant, Chloe, took a different view: she felt more anxious when watched, and preferred to ask questions afterward. This variation shows that the need for reassurance was shared, but the form it took differed. Together, these accounts indicate that the first placement is experienced as a period of high responsibility, and that informal support from colleagues plays a central role in how students cope."

Notice how the paragraph states the theme, gives scope, uses quotations, interprets each one, shows an exception, and ends by returning to the question. For help with paragraph structure, see Dissertation Paragraph Structure.

Using Quotations Well

Quotations are the heart of qualitative findings, but they work only when used carefully.

  • Keep them short. Long block quotes often contain more than the point you need. Trim, using ellipses to mark cuts.
  • Introduce each one. Say who is speaking and why the quote matters.
  • Interpret each one. Never leave a quote on its own.
  • Be accurate. Do not alter wording. You can correct obvious transcription errors, or add clarifications in square brackets, but be transparent about it.
  • Spread them across participants. If one person supplies most of the quotes, readers will wonder about the rest.
  • Protect identities. Use pseudonyms and remove identifying details.
  • Format consistently. Follow your citation style for quotations and block quotes. See APA 7 Citations.

Keeping Findings and Discussion Apart

A common problem is drifting into discussion in the findings chapter, citing literature and speculating about causes. Unless your department combines the two, keep the findings close to the data. Describe what participants said, show patterns, and interpret within the data. Save connections to other studies, theory, and implications for the discussion chapter.

If a quick reference helps, ask: "Am I telling the reader what the data show, or what the data mean for the field?" The first belongs in findings, and the second in discussion.

Showing Your Analysis Is Trustworthy

Examiners want to know that your themes grow from the data and not from your assumptions. You can strengthen your chapter by:

  • Describing your coding process clearly, perhaps with an example in an appendix
  • Showing how themes were refined, such as merging or splitting
  • Noting any checks, such as a second coder or participant feedback, if you did them
  • Being open about your position as a researcher
  • Including negative cases that do not fit

See Validity and Reliability in Research.

Common Mistakes (and Fixes)

Quotation lists without analysis. Fix: add interpretation after every extract.

Themes that are just topics. "Support" is a topic. "Support depends on whether staff acknowledge students by name" is a theme with a claim. Fix: write each theme as a finding.

Too many themes. Seven or eight themes in a short dissertation are hard to develop. Fix: merge or drop themes until each can be explored properly.

Overstating the sample. Qualitative work does not claim statistical generalization. Fix: use cautious language and focus on depth.

Ignoring contradictory evidence. Fix: include and explain it.

Mixing in literature too early. Fix: move comparisons to the discussion unless your guidelines say otherwise.

Weak structure. Fix: begin each theme with a clear claim and finish with a link to the question.

Checklist for Your Qualitative Findings Chapter

  • The chapter opens with the research question and an overview of the themes
  • Participants are described and anonymized
  • Each theme has a clear name and definition
  • Each theme includes quotations and analysis
  • Variation and exceptions are shown
  • Findings are separated from discussion, if required
  • The analytic method is described and consistent with the methodology chapter
  • Themes answer the research question
  • The chapter ends with a short summary leading into the discussion

Getting Help With Your Chapter

Qualitative writing is a skill, and feedback makes a large difference. Your supervisor can tell you whether the themes are convincing. A fresh reader can tell you whether the chapter is clear. Our dissertation editing service reviews the chapter you wrote and returns tracked changes and comments on structure, clarity, and presentation. Our academic coaching offers one-to-one sessions if you want to build your analytical writing. We do not conduct your analysis or write your findings, and our ethics policy explains why.

Frequently Asked Questions

How many themes should I have?

It depends on the project. For a master's dissertation, three to five well-developed themes are common. Quality matters more than number.

How many quotations should I include?

Enough to support each theme convincingly, usually two to four per sub-theme, spread across participants.

Should I report numbers in qualitative findings?

Sparingly. Words such as "most" and "several" are usually safer than percentages, though some approaches, such as content analysis, report frequencies.

Can I combine findings and discussion?

Some departments allow it, especially for qualitative work. Check your guidelines. If you combine them, keep the structure clear, with each theme followed by its interpretation.

Conclusion

A strong qualitative findings chapter turns raw data into themes, supports each theme with well-chosen quotations, analyzes the evidence, and answers the research question. Present your process, show variation, and keep findings separate from the wider discussion unless told otherwise. If you structure each theme the same way, the chapter becomes easier to write and to read.

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