Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Grounded Theory Clásica Longitudinal× | Análisis Temático Longitudinal× | |
|---|---|---|
| Campo | Cualitativa | Cualitativa |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1967 (classic GT); longitudinal application developed from 1980s onward | 2000s–2010s (formalized alongside longitudinal qualitative research methods) |
| Autor original≠ | Barney G. Glaser and Anselm L. Strauss (classic GT); longitudinal extension by later methodologists | Built on Braun & Clarke (2006) thematic analysis; longitudinal adaptation developed across qualitative health and social science research communities |
| Tipo≠ | Qualitative longitudinal research design | Qualitative analysis approach |
| Fuente seminal≠ | Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302607 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Alias | Longitudinal CGT, Glaserian longitudinal grounded theory, classic GT longitudinal design, longitudinal substantive theory building | LTA, longitudinal TA, repeated thematic analysis, temporal thematic analysis |
| Relacionados≠ | 6 | 4 |
| Resumen≠ | Longitudinal Classic Grounded Theory applies Glaser and Strauss's original discovery-oriented grounded theory method across two or more data collection waves separated by time. The approach tracks how social processes, behaviors, and conceptual categories evolve, allowing the researcher to build a substantive theory that captures change and continuity rather than a single static snapshot of a phenomenon. | Longitudinal Thematic Analysis (LTA) extends standard thematic analysis to data collected at multiple time points from the same participants or contexts. Rather than producing a single cross-sectional account, LTA maps how themes emerge, persist, transform, or disappear over time, enabling researchers to understand change, continuity, and process in qualitative terms. It is widely used in health, education, and social science research where lived experience unfolds over months or years. |
| ScholarGateConjunto de datos ↗ |
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