STA vs. Reflexive Thematic Analysis (Braun & Clarke): Which Should You Use in Your Thesis?

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Systematic Thematic Analysis · 7 min read

STA vs. Reflexive Thematic Analysis (Braun & Clarke): Which Should You Use in Your Thesis?

Direct answer: Use reflexive thematic analysis when your goal is a rich, interpretive account of patterned meaning. Use Systematic Thematic Analysis (STA) when your goal is a theoretical contribution — a named conceptual model — and you need an auditable, step-by-step chain of evidence from participant quotations to theory.

Braun and Clarke’s thematic analysis is the most cited approach in qualitative research, and deservedly so: their six phases — familiarisation, generating initial codes, searching for themes, reviewing themes, defining and naming themes, and producing the report — gave a generation of researchers a workable method. Braun and Clarke themselves emphasise that thematic analysis is “a family of methods rather than a singular approach, with no standardized version,” and they encourage researchers to be intentional and self-aware about the version they use. STA is a member of that family — a version built for a specific job.

Three real differences

1. The keyword step

STA inserts an explicit stage between quotations and codes: the selection of keywords — the powerful, meaningful words participants actually use. This creates a visible chain of evidence (quotation → keyword → code → theme → concept → model) that an examiner, reviewer or auditor can trace line by line. In reflexive TA, the movement from data to codes happens within the researcher’s interpretive judgement, which is legitimate but harder to audit.

2. Where themes come from

In reflexive TA, themes are patterns of shared meaning identified across the data set. In STA, themes are deliberately constructed against the research gaps, objectives, questions and theoretical underpinnings. This is why STA is called “systematic”: the analysis is anchored to the study’s intellectual architecture at every step, rather than to commonalities alone.

3. The end point

Reflexive TA ends with a report of themes. STA ends with a named conceptual model, presented through arrows and boxes, that answers the research questions and states its theoretical contribution. If your thesis or target journal expects theory-building — as most business, management and marketing journals do — STA’s end point matches the expectation.

When reflexive TA is the better choice

Fairness matters here: if your study is exploratory and descriptive, if your epistemology prioritises researcher subjectivity as an analytical resource, or if your discipline values interpretive richness over model-building, reflexive TA may serve you better. The two approaches are answers to different questions, not competitors for the same one.

Can you combine them?

Many researchers begin from Braun and Clarke’s familiarisation logic and then adopt STA’s keyword-to-model pipeline when their study demands a theoretical outcome. If you do this, say so explicitly in your methodology chapter — methodological transparency about which version of thematic analysis you used, and why, is exactly what Braun and Clarke’s “knowing practice” calls for, and examiners reward it.

Read and cite the original article

Naeem, M., Ozuem, W., Howell, K., & Ranfagni, S. (2023). A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research. International Journal of Qualitative Methods, 22. https://doi.org/10.1177/16094069231205789

Do examiners accept STA?

Yes — STA is published in a peer-reviewed methods journal and is designed precisely to give examiners a traceable analytical process ending in a theoretical contribution. Cite the 2023 paper and follow its steps explicitly.

Is STA a criticism of Braun and Clarke?

No. Braun and Clarke themselves describe thematic analysis as a family of methods. STA is a structured member of that family, built for conceptual model development.

MN

Dr Muhammad Naeem is Dean at UK Management College and the lead author of Systematic Thematic Analysis, the PRICE model of data saturation, and peer-reviewed processes for using AI in qualitative research.

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