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Longitudinale qualitative Inhaltsanalyse×Narrative Analysis×
FachgebietQualitativQualitativ
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr2000s–2010s1967 (foundational); 2008 (canonical handbook)
UrheberPhilipp Mayring (foundational QCA); longitudinal extension developed across qualitative health and social research traditionsCatherine Kohler Riessman (seminal synthesis, 2008); roots in Labov & Waletzky (1967)
TypQualitative analytical methodQualitative interpretive method
Wegweisende QuelleMayring, P. (2000). Qualitative content analysis. Forum: Qualitative Social Research, 1(2), Art. 20. link ↗Riessman, C.K. (2008). Narrative Methods for the Human Sciences. Sage. link ↗
AliasnamenLQCA, longitudinal QCA, repeated qualitative content analysis, panel qualitative content analysisnarrative inquiry, life history analysis, biographical research, Anlatı Analizi (Narrative Analysis)
Verwandt36
ZusammenfassungLongitudinal 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.Narrative analysis is a qualitative research method, synthesised canonically by Catherine Kohler Riessman (2008), that examines how individuals storise their lived experiences and construct meaning through the telling. Drawing on life history, biographical, and narrative inquiry traditions, it treats the story itself — not just its content — as the unit of analysis, attending to temporal sequence, plot structure, and the social context in which a narrative is produced.
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ScholarGateMethoden vergleichen: Longitudinal Qualitative Content Analysis · Narrative Analysis. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare