Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Цифровий тематичний аналіз× | Рефлексивний тематичний аналіз× | |
|---|---|---|
| Галузь | Якісні методи | Якісні методи |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2006 (base method); digital application 2010s | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Автор методу≠ | 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 |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви | online thematic analysis, social media thematic analysis, digital TA, web-based thematic analysis | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Пов'язані≠ | 5 | 6 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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