The most authoritative source on thematic analysis is by Braun and Clarke (2022), Thematic Analysis: A Practical Guide.

Or, for an alternative you might look at Johnny Saldana, Developing Theory Through Qualitative Inquiry.

For a different perspective, see St. Pierre and Jackson. There are many p osdibilities!Article Qualitative Data Analysis After Coding

Dear Rajan Kumar Kandel As a senior data analyst, I approach transforming qualitative data into results by first immersing myself deeply in the data—carefully reviewing transcripts, notes, and recordings to fully grasp context.

I then systematically code the information, highlighting meaningful patterns and categorizing related insights. This involves iterative refinement, continuously reviewing and grouping data until clear themes emerge.

Using methodologies such as thematic analysis or content analysis helps structure this process effectively. Ultimately, I interpret these themes in relation to the research objectives, clearly communicating actionable insights and presenting findings in a concise, coherent narrative supported by evidence to ensure stakeholders fully understand and leverage the results.

The emerging themes are the findings of your qualitative research. However, if your approach is deductive, your research question should be aligned with your theory, and your themes should also be aligned with the key features of that theory. If your approach is inductive, you do not start with a theory; instead, your findings may contribute to the development of a new theoretical understanding. In this case, an emergent theoretical alignment—or even theory generation—would be appropriate. In the coding process, I usually select important verbatim excerpts to integrate into my write-up, systematically discussing them in relation to the initial themes.

In my qualitative research, I employed a structured process using NVivo 14 and followed the six-step Reflective Thematic Analysis approach by Clarke and Braun (2020), grounded in a constructivist and interpretative methodology. This approach allowed for a systematic and rigorous analysis of qualitative data while ensuring depth and contextual understanding.

The analysis involved the following six steps:

Thank you, Mohammad khaled Azzam, for sharing your experience. Could you please suggest/share reports or articles that vividly articulate the processes followed as a model for early researchers?

I'm thinking at the moment that categorise may be a more apt word than transform; therefore, quantitative researchers essentially categorise their results/findings as numbers while qualitative researchers categorise these as themes elicited by study participants.

We rely on available methodologies such as phenomenology, discursive analysis, and others, as well as tools such as AtlaTi and NVivo, in addition to the master guide of research objectives.

Thank you, Ivonne Molinares Guerrero Philip Adams Mohammad khaled Azzam Irving Larot Rio Imad-Addin Almasri David L Morgan for your replies and sharing the ideas.

Qualitative researchers encode data, identify patterns, summarize themes and explain their significance, and convert qualitative data into research results and findings to achieve theme analysis and data interpretation.

In addition, I am looking for various topics (special issue) cooperation, if you also have this need, you can contact me via email, we will work together.

My email is: [email protected]