Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Автоэтнография× | Рефлексивный тематический анализ× | |
|---|---|---|
| Область | Качественные методы | Качественные методы |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Late 20th century (term coined 1979; method consolidated 1990s–2000s) | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Автор метода≠ | Carolyn Ellis, Arthur Bochner, Norman Denzin (prominent theorists); David Hayano coined the term in 1979 | Virginia Braun & Victoria Clarke |
| Тип | Qualitative research method | Qualitative research method |
| Основополагающий источник≠ | Ellis, C. (2004). The Ethnographic I: A Methodological Novel about Autoethnography. AltaMira Press. ISBN: 978-0759100947 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Другие названия | auto-ethnography, AE, personal narrative research, self-ethnography | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Связанные | 6 | 6 |
| Сводка≠ | Autoethnography is a qualitative research method in which the researcher uses systematic self-reflection and personal narrative to examine their own experiences within a cultural, social, or organizational context. By treating the self as both subject and instrument, autoethnography connects individual lived experience to broader cultural patterns, making personal stories analytically and socially significant. It bridges autobiography and ethnography, producing accounts that are simultaneously evocative and scholarly. | 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 данных ↗ |
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