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领域质性质性
方法族Process / pipelineProcess / pipeline
起源年份2003–2009 (formalized in qualitative research methodology)2000s–2010s (formalized alongside longitudinal qualitative research methods)
提出者Glenn A. Bowen (document analysis framework); Johnny Saldaña (longitudinal qualitative methods)Built on Braun & Clarke (2006) thematic analysis; longitudinal adaptation developed across qualitative health and social science research communities
类型Qualitative longitudinal research designQualitative analysis approach
开创性文献Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. DOI ↗Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
别名longitudinal documentary research, longitudinal archival analysis, repeated document analysis, LDALTA, longitudinal TA, repeated thematic analysis, temporal thematic analysis
相关34
摘要Longitudinal document analysis is a qualitative research approach that systematically collects and analyzes documents at multiple time points to trace how phenomena, discourses, policies, or organizational practices change over time. By treating documents as primary data sources rather than supplementary evidence, researchers can reconstruct temporal trajectories, identify turning points, and understand how meaning evolves across extended periods without requiring direct participant contact.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.
ScholarGate数据集
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ScholarGate方法对比: Longitudinal document analysis · Longitudinal Thematic Analysis. 于 2026-06-18 检索自 https://scholargate.app/zh/compare