Módszerek összehasonlítása
Tekintse át a kiválasztott módszereket egymás mellett; az eltérő sorok kiemelve jelennek meg.
| Digitális Reflektív Tematikus Elemzés× | Reflexive Thematic Analysis× | |
|---|---|---|
| Tudományterület | Kvalitatív módszerek | Kvalitatív módszerek |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 2006 (RTA foundation); digital application consolidated ~2019–2022 | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Megalkotó≠ | Virginia Braun & Victoria Clarke (reflexive foundation); extended by digital qualitative researchers | Virginia Braun & Victoria Clarke |
| Típus≠ | Qualitative analytic method | Qualitative research method |
| Alapmű≠ | Braun, V., & Clarke, V. (2022). Thematic Analysis: A Practical Guide. Sage. ISBN: 978-1473953246 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Alternatív nevek≠ | digital RTA, online reflexive thematic analysis, RTA for digital data | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Kapcsolódó | 6 | 6 |
| Összefoglaló≠ | Digital Reflexive Thematic Analysis (Digital RTA) applies Braun and Clarke's reflexive thematic analysis framework to qualitative data generated in or collected from digital environments — including social media posts, online forums, chat transcripts, email, digital interviews, and other online texts. It foregrounds the researcher's active, interpretive role and treats theme generation as a creative-analytic act shaped by the analyst's theoretical positioning rather than a mechanical coding procedure. | 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. |
| ScholarGateAdatkészlet ↗ |
|
|