Thematic analysis for qualitative research – how to generate and develop themes from your codes
Degree Doctor
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Thematic analysis for qualitative research – how to generate and develop themes from your codes
14 847 просмотров · 1 год назад
Degree Doctor
36,8 тыс. подписчиков
14 847 просмотров · 1 год назад
Doing Braun and Clarke’s reflexive thematic analysis and wondering how to actually turn your codes into proper themes? You’re not alone, this is where a lot of qualitative researchers get stuck.
In this video, I’m walking you through exactly how to generate and develop themes from your codes using Braun and Clarke’s six-stage process (we’re focusing here on Stage 3). If your dataset is overflowing with Post-it notes, Excel sheets, or NVivo nodes and you’re not sure how to build real, meaningful themes out of them — this one’s for you.
We’ll talk about:
✅ What a theme actually is in reflexive thematic analysis
✅ How to group your codes in a way that reveals meaning, not just repetition
✅ How to know when you’ve developed a strong theme (and when you haven’t)
✅ The difference between topics and themes
✅ Why your themes won’t “emerge” — and why you are the one constructing them
This is all about building a deeper, more critical analysis that’s grounded in your data and aligned with your research question.
👇 Got a question about developing themes? Drop it in the comments — I’d love to help you figure it out.
Chapters
0:00 An introduction to themes using Braun and Clarke's thematic analysis
1:04 My Braun and Clarke Reflexive Thematic Analysis Guide
1:42 What is a theme?
4:24 Themes - your questions and experiences
4:51 Building a theme
6:18 Developing themes
7:56 Common problems with building and developing themes
9:25 How many themes should you have in thematic analysis?
🎬 Other helpful videos
How to code in thematic analysis • Coding qualitative data - how to code usin...
How to write up your reflexive thematic analysis • Braun and Clarke | Writing up Reflexive Th...
What is Interpretive Phenomenological Analysis? • Interpretative Phenomenological Analysis
Which quotes should you cut out and which should you leave in? • Qualitative Data Analysis: How to cut quot...
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🚮 Want to throw your analysis in the bin and start again? If you’re:
💠 Staring a list of codes wondering how they magically become themes
💠 Being told your themes are “descriptive” but not knowing how to fix that
💠 Confused about the difference between coding and theme development
💠 Feeling like you’ve made a mess of your analysis
My step-by-step Braun and Clarke Reflexive Thematic Analysis Guide walks you through the messy middle of muddled analysis and thin themes to insights that actually feel convincing – to you and your supervisor.
👉 https://www.thedegreedoctor.com/braun...
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