Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Analiza tematică reflexivă bazată pe multiple studii de caz× | Analiza Tematică Reflexivă× | |
|---|---|---|
| Domeniu | Calitativ | Calitativ |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 2006 (RTA origins); 2010s onward (combined application) | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Autorul original≠ | Braun & Clarke (reflexive thematic analysis); Yin (multiple case study framework) | Virginia Braun & Victoria Clarke |
| Tip≠ | Qualitative research design and analysis approach | Qualitative research method |
| Sursa seminală≠ | Braun, V., & Clarke, V. (2021). Thematic Analysis: A Practical Guide. Sage. ISBN: 978-1473953246 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Denumiri alternative | MC-RTA, multi-case reflexive thematic analysis, cross-case reflexive thematic analysis, multiple case RTA | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Înrudite | 6 | 6 |
| Rezumat≠ | Multiple case-based reflexive thematic analysis integrates Braun and Clarke's reflexive thematic analysis (RTA) with a multiple case study framework. Qualitative data are collected from two or more bounded cases, RTA is applied within each case to generate case-specific themes, and the themes are then compared and synthesised across cases. The approach preserves the depth and interpretive richness of RTA while enabling cross-case pattern recognition that single-case designs cannot provide. | 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. |
| ScholarGateSet de date ↗ |
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