Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Longitudinal Reflexive Thematic Analysis× | Longitudinal innholdsanalyse – sporing av mening over tid× | |
|---|---|---|
| Fagfelt | Kvalitativ | Kvalitativ |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 2006 (RTA seminal); longitudinal application developed through 2010s | Mid-20th century onward; systematized alongside content analysis (Berelson, 1952; Krippendorff, 1980) |
| Opphavsperson≠ | Virginia Braun & Victoria Clarke (reflexive thematic analysis); longitudinal design adapted from qualitative longitudinal research traditions (Saldaña, 2003) | Developed within the content analysis tradition; longitudinal extensions widely applied since the mid-20th century in communication and political science research |
| Type≠ | Qualitative analytic method applied longitudinally | Qualitative and mixed-methods research design |
| Opprinnelig kilde≠ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ | Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661 |
| Alias | longitudinal RTA, repeated-wave thematic analysis, longitudinal qualitative thematic analysis, L-RTA | LCA, repeated content analysis, diachronic content analysis, trend content analysis |
| Relaterte | 5 | 5 |
| Sammendrag≠ | Longitudinal Reflexive Thematic Analysis (L-RTA) applies Braun and Clarke's reflexive thematic analysis framework to qualitative data collected from the same participants (or context) at two or more time points. Rather than producing a single static account, it tracks how meanings, experiences, and themes evolve, persist, or transform over time, foregrounding the researcher's active reflexive engagement at every stage of the iterative process. | Longitudinal Content Analysis (LCA) applies systematic content analysis to documents, media, or texts sampled at two or more time points in order to detect how themes, frames, language, or discourse patterns change or persist over time. Drawing on the established logic of content analysis, it adds a temporal dimension that allows researchers to chart trends, trace the evolution of representations, and test hypotheses about historical or social change. It is widely used in communication research, political science, media studies, and the health sciences. |
| ScholarGateDatasett ↗ |
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