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| Phân tích chủ đề diễn giải× | Phân tích chủ đề phản tư× | |
|---|---|---|
| Lĩnh vực | Định tính | Định tính |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 2006 (systematic formulation); interpretivist application developed through 2010s | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Người khởi xướng≠ | Virginia Braun and Victoria Clarke (systematic method); interpretivist orientation traced to constructivist qualitative traditions | Virginia Braun & Victoria Clarke |
| Loại≠ | Qualitative data analysis method | Qualitative research method |
| Công trình gốc | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Tên gọi khác | ITA, interpretive TA, interpretivist thematic analysis, constructivist thematic analysis | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Liên quan | 6 | 6 |
| Tóm tắt≠ | 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. |
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