Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis Fenomenológico Interpretativo Longitudinal (L-IPA)× | Análisis Temático× | |
|---|---|---|
| Campo≠ | Cualitativa | Investigación cualitativa |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 2000s–2010s (IPA from mid-1990s; longitudinal variant formalised ~2009–2014) | 2006 |
| Autor original≠ | Jonathan A. Smith and colleagues; longitudinal extension developed by Smith, Flowers, and Larkin | Virginia Braun and Victoria Clarke |
| Tipo≠ | Qualitative research design and analysis approach | Method |
| Fuente seminal≠ | Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretive Phenomenological Analysis: Theory, Method and Research. Sage. ISBN: 978-1412908344 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Alias≠ | L-IPA, longitudinal IPA, repeated-interview IPA, temporal IPA | TA, Reflexive Thematic Analysis |
| Relacionados≠ | 4 | 3 |
| Resumen≠ | Longitudinal Interpretive Phenomenological Analysis (L-IPA) extends the IPA tradition by interviewing the same participants at multiple time points, allowing researchers to trace how the meaning of a lived experience evolves over time. Grounded in phenomenology and hermeneutics, L-IPA preserves idiographic depth at each wave while adding a temporal dimension that cross-sectional IPA cannot provide. It is used widely in health psychology, illness adjustment studies, and any domain where experience unfolds across a significant time span. | 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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