Vertaile menetelmiä

	Interpretatiivinen temaattinen analyysi	Refleksiivinen temaattinen analyysi
Tieteenala	Laadulliset menetelmät	Laadulliset menetelmät
Menetelmäperhe	Process / pipeline	Process / pipeline
Syntyvuosi	2006 (systematic formulation); interpretivist application developed through 2010s	2006 (seminal paper); explicitly named 'reflexive' from ~2019
Kehittäjä	Virginia Braun and Victoria Clarke (systematic method); interpretivist orientation traced to constructivist qualitative traditions	Virginia Braun & Victoria Clarke
Tyyppi	Qualitative data analysis method	Qualitative research method
Alkuperäislähde	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Rinnakkaisnimet	ITA, interpretive TA, interpretivist thematic analysis, constructivist thematic analysis	RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis
Liittyvät	6	6
Tiivistelmä	Interpretive thematic analysis is a form of thematic analysis conducted from an interpretivist or constructivist epistemological standpoint. Rather than treating themes as residing in the data waiting to be discovered, the researcher actively constructs meaning through their engagement with the data. Built on Braun and Clarke's systematic framework, the interpretive variant foregrounds the researcher's theoretical lens and reflexivity, producing analysis that goes beyond description to explain how social, cultural, or contextual forces shape participants' accounts.	Reflexive Thematic Analysis (RTA) is a widely used qualitative method for identifying, analysing, and interpreting patterns of shared meaning — called themes — across a dataset. Developed by Virginia Braun and Victoria Clarke, it is theoretically flexible, works across epistemological positions, and foregrounds the researcher's active, interpretive role rather than treating themes as features that simply emerge from data. It differs from older 'codebook' approaches by treating the analyst's subjectivity as a resource rather than a source of bias to be suppressed.