Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Цифровой тематический анализ× | Рефлексивный тематический анализ× | |
|---|---|---|
| Область | Качественные методы | Качественные методы |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2006 (base method); digital application 2010s | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Автор метода≠ | Virginia Braun & Victoria Clarke (base method); extended to digital data contexts by qualitative digital researchers from the mid-2000s onward | Virginia Braun & Victoria Clarke |
| Тип≠ | Qualitative data analysis method | Qualitative research method |
| Основополагающий источник≠ | Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Другие названия | online thematic analysis, social media thematic analysis, digital TA, web-based thematic analysis | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Связанные≠ | 5 | 6 |
| Сводка≠ | Digital Thematic Analysis applies Braun and Clarke's six-phase thematic analysis framework to qualitative data generated in or harvested from digital environments — including social media platforms, online forums, blogs, digital interview transcripts, and user-generated web content. It retains the same systematic coding logic as standard thematic analysis while incorporating additional decisions about data demarcation, platform context, and the ethical handling of publicly available digital material. | 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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