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领域质性质性
方法族Process / pipelineProcess / pipeline
起源年份Mid-20th century onward; systematized alongside content analysis (Berelson, 1952; Krippendorff, 1980)1967 (foundational); 2008 (canonical handbook)
提出者Developed within the content analysis tradition; longitudinal extensions widely applied since the mid-20th century in communication and political science researchCatherine Kohler Riessman (seminal synthesis, 2008); roots in Labov & Waletzky (1967)
类型Qualitative and mixed-methods research designQualitative interpretive method
开创性文献Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661Riessman, C.K. (2008). Narrative Methods for the Human Sciences. Sage. link ↗
别名LCA, repeated content analysis, diachronic content analysis, trend content analysisnarrative inquiry, life history analysis, biographical research, Anlatı Analizi (Narrative Analysis)
相关56
摘要Longitudinal Content Analysis (LCA) applies systematic content analysis to documents, media, or texts sampled at two or more time points in order to detect how themes, frames, language, or discourse patterns change or persist over time. Drawing on the established logic of content analysis, it adds a temporal dimension that allows researchers to chart trends, trace the evolution of representations, and test hypotheses about historical or social change. It is widely used in communication research, political science, media studies, and the health sciences.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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ScholarGate方法对比: Longitudinal Content Analysis · Narrative Analysis. 于 2026-06-17 检索自 https://scholargate.app/zh/compare