Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Digital tematisk analyse× | Refleksiv tematisk analyse× | |
|---|---|---|
| Fagfelt | Kvalitativ | Kvalitativ |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 2006 (base method); digital application 2010s | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Opphavsperson≠ | Virginia Braun & Victoria Clarke (base method); extended to digital data contexts by qualitative digital researchers from the mid-2000s onward | Virginia Braun & Victoria Clarke |
| Type≠ | Qualitative data analysis method | Qualitative research method |
| Opprinnelig kilde≠ | 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 ↗ |
| Alias | online thematic analysis, social media thematic analysis, digital TA, web-based thematic analysis | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Relaterte≠ | 5 | 6 |
| Sammendrag≠ | 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. |
| ScholarGateDatasett ↗ |
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