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Phỏng vấn sâu theo chiều dọc×Phân tích Tường thuật×
Lĩnh vựcPhương pháp luận khảo sátĐịnh tính
HọProcess / pipelineProcess / pipeline
Năm ra đời1990s–2000s (as a formalised qualitative method)1967 (foundational); 2008 (canonical handbook)
Người khởi xướngRooted in qualitative longitudinal research traditions; systematised by Johnny SaldanaCatherine Kohler Riessman (seminal synthesis, 2008); roots in Labov & Waletzky (1967)
LoạiQualitative longitudinal data collection techniqueQualitative interpretive method
Công trình gốcSaldana, J. (2003). Longitudinal Qualitative Research: Analyzing Change Through Time. AltaMira Press. ISBN: 978-0759103917Riessman, C.K. (2008). Narrative Methods for the Human Sciences. Sage. link ↗
Tên gọi khácrepeated in-depth interview, longitudinal qualitative interview, panel qualitative interview, longitudinal IDInarrative inquiry, life history analysis, biographical research, Anlatı Analizi (Narrative Analysis)
Liên quan56
Tóm tắtLongitudinal in-depth interviewing is a qualitative data collection technique in which the same participants are interviewed in depth on multiple occasions across a defined time span. By revisiting the same people over weeks, months, or years, researchers can trace how experiences, identities, attitudes, and meanings change — something a single interview cannot reveal. It is widely used in life-course research, health studies, education, and social policy.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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ScholarGateSo sánh phương pháp: Longitudinal In-depth Interview · Narrative Analysis. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare