Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Сравнительный рефлексивный тематический анализ× | Рефлексивный тематический анализ× | |
|---|---|---|
| Область | Качественные методы | Качественные методы |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2006 (reflexive TA); comparative application formalised ~2019–2021 | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Автор метода | Virginia Braun & Victoria Clarke | Virginia Braun & Victoria Clarke |
| Тип≠ | Qualitative analytic approach | Qualitative research method |
| Основополагающий источник≠ | Braun, V., & Clarke, V. (2021). Thematic Analysis: A Practical Guide. Sage. ISBN: 978-1473953406 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Другие названия | Comparative RTA, cross-group thematic analysis, comparative TA, comparative qualitative thematic comparison | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Связанные≠ | 4 | 6 |
| Сводка≠ | Comparative Reflexive Thematic Analysis (CRTA) applies Braun and Clarke's reflexive thematic analysis framework to data drawn from two or more distinct groups, time points, or contexts, with the explicit goal of contrasting thematic patterns across those groups. The reflexive element means the analyst continuously interrogates how their own perspectives and positioning shape the themes they construct, while the comparative element directs attention to differences and similarities between data sets rather than seeking a single unified account. | 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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