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階層的計量的内容分析×Thematic Analysis×
分野研究デザイン質的研究
系統Process / pipelineProcess / pipeline
提唱年1980s–1990s (formalized in Krippendorff 1980; elaborated through subsequent editions)2006
提唱者Klaus Krippendorff (hierarchical category systems formalized in content analysis methodology)Virginia Braun and Victoria Clarke
種類Quantitative research designMethod
原典Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395678Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
別名hierarchical coding content analysis, nested category content analysis, tree-structured content analysis, HQCATA, Reflexive Thematic Analysis
関連23
概要Hierarchical quantitative content analysis is a systematic method for coding and counting text or media content using nested, tree-structured category schemes. Rather than a flat list of mutually exclusive codes, categories are organized into parent-child levels — broad themes subdivide into specific sub-themes — enabling researchers to aggregate or disaggregate frequencies at any level of the hierarchy and to produce richly structured numerical summaries of large corpora.Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.
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ScholarGate手法を比較: Hierarchical Quantitative Content Analysis · Thematic Analysis. 2026-06-18に以下より取得 https://scholargate.app/ja/compare