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| Longitudinale narrative Forschung× | Longitudinale qualitative Inhaltsanalyse× | |
|---|---|---|
| Fachgebiet | Qualitativ | Qualitativ |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1990s–2000s (narrative inquiry established 1990; longitudinal application elaborated 2000s–2010s) | 2000s–2010s |
| Urheber≠ | D. Jean Clandinin & F. Michael Connelly (narrative inquiry foundations); extended into longitudinal designs by Clandinin and colleagues | Philipp Mayring (foundational QCA); longitudinal extension developed across qualitative health and social research traditions |
| Typ≠ | Qualitative longitudinal research design | Qualitative analytical method |
| Wegweisende Quelle≠ | Clandinin, D. J., Huber, J., Huber, M., Murphy, M. S., Murray Orr, A., Pearce, M., & Steeves, P. (2006). Composing diverse identities: Narrative inquiries into the interwoven lives of children and teachers. Routledge. ISBN: 978-0415357241 | Mayring, P. (2000). Qualitative content analysis. Forum: Qualitative Social Research, 1(2), Art. 20. link ↗ |
| Aliasnamen | longitudinal narrative inquiry, narrative longitudinal design, LNI, temporal narrative research | LQCA, longitudinal QCA, repeated qualitative content analysis, panel qualitative content analysis |
| Verwandt≠ | 6 | 3 |
| Zusammenfassung≠ | Longitudinal narrative research is a qualitative design that follows participants across multiple time points, gathering and analyzing their stories to understand how experiences, identities, and meanings evolve over time. Rooted in Clandinin and Connelly's narrative inquiry tradition, it treats human experience as fundamentally storied and temporal — what matters is not just what happened but how people narrate, revise, and make sense of their lives as circumstances change. | Longitudinal qualitative content analysis (LQCA) applies systematic content analysis to text data gathered from the same participants, settings, or documents at two or more points in time. The method preserves the interpretive rigour of qualitative content analysis while adding an explicit temporal dimension, enabling researchers to track how meanings, experiences, categories, or discourse shift, deepen, or stabilise across time rather than producing a single-point-in-time description. |
| ScholarGateDatensatz ↗ |
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