Virginia Braun
Thematic Analysis
Braun, Virginia; Clarke, Victoria
Authors
Dr Victoria Clarke Victoria.Clarke@uwe.ac.uk
Associate Professor in Qualitative & Critical Psychology
Abstract
This chapter provides an introduction to thematic analysis (TA) as a method for developing and interpreting patterns in qualitative data. We distinguish between different ‘schools’ of TA, focusing on: (1) approaches with a foothold in quantitative research which are concerned with the ‘reliability’ of coding and theme development, and (2) our thoroughly qualitative reflexive approach which views coding and theme development as organic and fluid, and as ultimately and inescapably subjective. The remainder of the chapter focuses on reflexive TA. A hallmark of reflexive TA is that it offers a theoretically flexible method with wide-ranging applications. We describe different ways of implementing reflexive TA and outline our practical, six-phase process for conducting reflexive TA: (1) data familiarization; (2) coding; (3) initial theme generation; (4) theme development and review; (5) refining, defining and naming themes; and (6) writing up.
Deposit Date | Aug 26, 2020 |
---|---|
Edition | Third |
Book Title | Analysing qualitative data in psychology |
Chapter Number | 7 |
Public URL | https://uwe-repository.worktribe.com/output/6633690 |
Contract Date | Jul 2, 2020 |
You might also like
Thematic analysis
(2024)
Book Chapter
Thematic analysis: A reflexive approach
(2024)
Book Chapter
Approaches to thematic analysis: Becoming a knowing researcher
(2023)
Book Chapter
The learning experiences of UK autistic university students during the Covid-19 pandemic
(2023)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search