Сравнение методов

	Интерпретативный тематический анализ	Рефлексивный тематический анализ
Область	Качественные методы	Качественные методы
Семейство	Process / pipeline	Process / pipeline
Год появления	2006 (systematic formulation); interpretivist application developed through 2010s	2006 (seminal paper); explicitly named 'reflexive' from ~2019
Автор метода	Virginia Braun and Victoria Clarke (systematic method); interpretivist orientation traced to constructivist qualitative traditions	Virginia Braun & Victoria Clarke
Тип	Qualitative data analysis method	Qualitative research method
Основополагающий источник	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.
Другие названия	ITA, interpretive TA, interpretivist thematic analysis, constructivist thematic analysis	RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis
Связанные	6	6
Сводка	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.