Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Visuell fremkallende autoetnografi× | Refleksiv tematisk analyse× | |
|---|---|---|
| Fagfelt | Kvalitativ | Kvalitativ |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 2000s–2010s | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Opphavsperson≠ | Synthesised from Douglas Harper (photo elicitation, 2002) and Heewon Chang (autoethnography as method, 2008); popularised in education and health humanities research in the 2010s | Virginia Braun & Victoria Clarke |
| Type≠ | Qualitative self-study design | Qualitative research method |
| Opprinnelig kilde≠ | Chang, H. (2008). Autoethnography as Method. Left Coast Press. ISBN: 978-1598741230 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Alias | VEA, photo-elicitation autoethnography, visual autoethnography, image-elicited autoethnography | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Relaterte≠ | 3 | 6 |
| Sammendrag≠ | Visual elicitation autoethnography (VEA) is a qualitative self-study method that combines the personal narrative orientation of autoethnography with the stimulus power of visual artefacts — photographs, drawings, or found images — to prompt and deepen autobiographical reflection. The researcher produces or selects images from their own life, then uses those images as elicitation tools to generate rich written or spoken narratives about a cultural phenomenon they have lived through, positioning the self as both researcher and research subject. | 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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