Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis Temático Reflexivo Longitudinal× | Análisis Temático× | |
|---|---|---|
| Campo≠ | Cualitativa | Investigación cualitativa |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 2006 (RTA seminal); longitudinal application developed through 2010s | 2006 |
| Autor original≠ | Virginia Braun & Victoria Clarke (reflexive thematic analysis); longitudinal design adapted from qualitative longitudinal research traditions (Saldaña, 2003) | Virginia Braun and Victoria Clarke |
| Tipo≠ | Qualitative analytic method applied longitudinally | Method |
| Fuente seminal | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Alias≠ | longitudinal RTA, repeated-wave thematic analysis, longitudinal qualitative thematic analysis, L-RTA | TA, Reflexive Thematic Analysis |
| Relacionados≠ | 5 | 3 |
| Resumen≠ | 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. | Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences. |
| ScholarGateConjunto de datos ↗ |
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