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Longitudinal Content Analysis×ナラティブ分析×
分野質的手法質的手法
系統Process / pipelineProcess / pipeline
提唱年Mid-20th century onward; systematized alongside content analysis (Berelson, 1952; Krippendorff, 1980)1967 (foundational); 2008 (canonical handbook)
提唱者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)
種類Qualitative and mixed-methods research designQualitative interpretive method
原典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 ↗
別名LCA, repeated content analysis, diachronic content analysis, trend content analysisnarrative inquiry, life history analysis, biographical research, Anlatı Analizi (Narrative Analysis)
関連56
概要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手法を比較: Longitudinal Content Analysis · Narrative Analysis. 2026-06-17に以下より取得 https://scholargate.app/ja/compare