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デジタル質的コンテンツ分析×Thematic Analysis×
分野質的手法質的研究
系統Process / pipelineProcess / pipeline
提唱年2010s (building on qualitative content analysis traditions from 1983–2012)2006
提唱者Adapted from Philipp Mayring and Margrit Schreier; digital extension by multiple scholars in the 2010sVirginia Braun and Victoria Clarke
種類Qualitative research methodMethod
原典Schreier, M. (2012). Qualitative Content Analysis in Practice. Sage. ISBN: 978-0857029485Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
別名DQCA, qualitative content analysis of digital data, online qualitative content analysis, digital QCATA, Reflexive Thematic Analysis
関連43
概要Digital Qualitative Content Analysis (DQCA) is a systematic method for interpreting meaning from digital texts — social media posts, forum threads, blogs, emails, and other online content — through a structured, category-driven coding process. It extends the established tradition of qualitative content analysis (Mayring; Schreier) to the scale, multimodality, and contextual specificity of digital environments, prioritising interpretive depth over frequency counting.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: Digital Qualitative Content Analysis · Thematic Analysis. 2026-06-18に以下より取得 https://scholargate.app/ja/compare