Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Лонгитюдная обоснованная теория× | Лонгитюдный тематический анализ× | |
|---|---|---|
| Область | Качественные методы | Качественные методы |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s (as a recognized variant of grounded theory) | 2000s–2010s (formalized alongside longitudinal qualitative research methods) |
| Автор метода≠ | Kathy Charmaz and longitudinal qualitative researchers (building on Glaser & Strauss) | Built on Braun & Clarke (2006) thematic analysis; longitudinal adaptation developed across qualitative health and social science research communities |
| Тип≠ | Qualitative longitudinal research design | Qualitative analysis approach |
| Основополагающий источник≠ | Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide through Qualitative Analysis. Sage. ISBN: 978-0761973522 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Другие названия | LGT, longitudinal GT, temporal grounded theory, grounded theory longitudinal design | LTA, longitudinal TA, repeated thematic analysis, temporal thematic analysis |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Longitudinal grounded theory is a qualitative research design that applies grounded theory's inductive, iterative logic to data collected from the same participants or settings across multiple time points. It is used to build substantive theory that accounts not only for social processes but also for how those processes unfold, shift, and are renegotiated over time. The approach is particularly suited to studying change, trajectory, and temporal experience in social and health research. | 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. |
| ScholarGateНабор данных ↗ |
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