Part 2: Writing Qualitative Findings in Your Dissertation

What Qualitative Findings Look Like

Qualitative findings are organized around themes — patterns of meaning across participant responses. You do not use p-values; you use quotes, rich description, and transparent analysis. The chapter still answers your research questions — it just does so through participant voice rather than statistics.

Basic Structure for Qualitative Findings

1. Overview of participants — who they were, how many, how data were collected (interviews, focus groups, documents).
2. Coding and theme development — your approach (e.g., Braun & Clarke thematic analysis), software used (e.g., NVivo).
3. Themes presented — each theme includes a definition, supporting quotes, and interpretive narrative.
4. Unexpected findings — themes you did not anticipate.
5. Summary of themes — often as a table.

Overview of Participants

Table 4.4 — Participant Demographics (Qualitative Strand, N = 21)

Describing Your Coding Process

Describe your analytic process transparently. Name the method (e.g., reflexive thematic analysis, grounded theory, content analysis). Mention software (NVivo, ATLAS.ti, MAXQDA, or manual coding).

"Interview transcripts were analyzed using Braun and Clarke's (2006) six-phase thematic analysis: familiarization, initial coding, theme generation, theme review, theme definition, and write-up. Coding was conducted in NVivo 14. Initial codes (e.g., 'advisor not responding,' 'peer accountability,' 'imposter syndrome') were grouped into candidate themes, which were then refined through iterative discussion with a peer debriefer."

Presenting Themes

For each theme, provide:

• Theme name (clear and evocative)
• Definition (what this theme captures)
• Supporting quotes (with pseudonyms)
• Interpretive commentary (still descriptive — save deep interpretation for Chapter 5)

Theme 1: Navigating Committee Feedback

Definition: Participants described the challenge of interpreting and acting on feedback from multiple committee members, often receiving contradictory or vague comments.

"My chair would say 'tighten the methodology,' and my second reader would say 'expand the methodology.' I literally didn't know whose advice to follow." (Sarah, interview)

Theme 2: The Value of Accountability

Definition: Participants emphasized that external accountability — through writing partners, coaches, or scheduled deadlines — broke procrastination cycles.

"Once I had someone expecting a draft on Friday, I actually wrote on Wednesday and Thursday. Without that, I'd just stare at the screen." (Marcus, interview)

Summary Table of Themes

Table 4.5 — Summary of Themes and Subthemes

Using Participant Quotes Well

Use direct quotes generously. Each quote should include:

• A pseudonym (never real names)
• The data source (interview, focus group, journal entry)
• Quotation marks for short quotes; block indentation for longer ones
• Brief context if needed

Reporting Unexpected Qualitative Findings

Serendipitous themes are often the most interesting. Name them, define them, and present supporting evidence — even if they were not part of your original interview protocol.

Common Mistakes

• Stringing quotes together without analytic narrative.
• Counting quotes as if they were statistics ("seven participants said…").
• Forgetting to define themes before presenting them.
• Skipping the description of your coding process.

Frequently Asked Questions

How many quotes per theme are enough?

Typically 2–4 strong quotes per theme — enough to demonstrate the pattern across participants without overwhelming the reader. Quality beats quantity.

How do I anonymize participants?

Use pseudonyms and remove identifying details (specific job titles, institution names, distinctive demographics). Note your anonymization approach in Chapter 3.

Continue to: Part 3: Mixed Methods Findings →