Módszerek összehasonlítása

	Hosszú távú autoetnográfia	Reflexive Thematic Analysis
Tudományterület	Kvalitatív módszerek	Kvalitatív módszerek
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	2000s–2010s	2006 (seminal paper); explicitly named 'reflexive' from ~2019
Megalkotó	Carolyn Ellis, Arthur Bochner (autoethnography foundations); longitudinal extension by various scholars from 2000s onward	Virginia Braun & Victoria Clarke
Típus	Qualitative longitudinal research design	Qualitative research method
Alapmű	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.
Alternatív nevek	longitudinal self-ethnography, temporal autoethnography, long-term autoethnography, longitudinal personal narrative research	RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis
Kapcsolódó	6	6
Összefoglaló	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.