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| Visuell-evozierende reflexive thematische Analyse× | Reflexive Thematic Analysis× | |
|---|---|---|
| Fachgebiet | Qualitativ | Qualitativ |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 2000s–2010s (integrated practice established ~2010–2020) | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Urheber≠ | Compound method: visual elicitation (Harper 2002; Clark 1999) + reflexive thematic analysis (Braun & Clarke 2006, 2019) | Virginia Braun & Victoria Clarke |
| Typ≠ | Qualitative compound design | Qualitative research method |
| Wegweisende Quelle≠ | Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. DOI ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Aliasnamen | photo-elicitation reflexive TA, image-elicitation RTA, visual-prompt reflexive thematic analysis, VERTA | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Verwandt≠ | 5 | 6 |
| Zusammenfassung≠ | Visual elicitation reflexive thematic analysis (VERTA) is a qualitative compound design that uses photographs, drawings, or other images as conversation starters in in-depth interviews and then analyses the resulting talk using Braun and Clarke's reflexive thematic analysis framework. The visual prompt lowers the communication barrier, stimulates richer narrative, and anchors abstract experiences to concrete imagery, while the reflexive analytic approach treats theme development as an active, iterative, and researcher-engaged interpretive process rather than a coding algorithm. | 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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