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| Longitudinal Autoethnography× | Reflexive Thematic Analysis× | |
|---|---|---|
| Oblast | Kvalitativno | Kvalitativno |
| Porodica | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 2000s–2010s | 2006 (seminal paper); explicitly named 'reflexive' from ~2019 |
| Tvorac≠ | Carolyn Ellis, Arthur Bochner (autoethnography foundations); longitudinal extension by various scholars from 2000s onward | Virginia Braun & Victoria Clarke |
| Tip≠ | Qualitative longitudinal research design | Qualitative research method |
| Temeljni izvor≠ | Ellis, C. (2004). The Ethnographic I: A Methodological Novel about Autoethnography. AltaMira Press. ISBN: 978-0759103535 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Drugi nazivi | longitudinal self-ethnography, temporal autoethnography, long-term autoethnography, longitudinal personal narrative research | RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis |
| Srodne | 6 | 6 |
| Sažetak≠ | Longitudinal autoethnography is a qualitative research design in which the researcher systematically documents, reflects on, and analyzes their own lived experience across an extended period — typically months to years. By combining the self-reflexive focus of autoethnography with a longitudinal temporal structure, this approach reveals how personal meanings, identities, and social understandings evolve over time. It bridges the personal and the cultural, producing richly layered narratives that connect individual transformation to broader social processes. | 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. |
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