Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Интерпретативна автоетнография× | Рефлексивен тематичен анализ× | |
|---|---|---|
| Област | Качествени методи | Качествени методи |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1990s–2000s | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Създател≠ | Carolyn Ellis, Arthur Bochner (evocative strand); Leon Anderson (analytic/interpretive strand) | Virginia Braun & Victoria Clarke |
| Тип≠ | Qualitative self-study design | Qualitative research method |
| Основополагащ източник≠ | Ellis, C., Adams, T. E., & Bochner, A. P. (2011). Autoethnography: An overview. Forum: Qualitative Social Research, 12(1), Art. 10. link ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Други названия | interpretive autoethnography, evocative autoethnography, analytic autoethnography, IAE | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Свързани | 6 | 6 |
| Резюме≠ | Interpretive autoethnography is a qualitative research design in which the researcher uses systematic analysis of their own lived experience as the primary data source, moving beyond evocative personal narrative to connect personal meaning with broader cultural, social, or theoretical frameworks. Drawing on Leon Anderson's analytic strand and building on Ellis and Bochner's foundational work, it treats the researcher's self-account as both evidence and interpretive lens, subjecting personal stories to disciplined ethnographic and theoretical scrutiny to generate insights that extend beyond the individual case. | 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. |
| ScholarGateНабор от данни ↗ |
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