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디지털 질적 내용 분석×Thematic Analysis×
분야질적 방법질적 연구
계열Process / pipelineProcess / pipeline
기원 연도2010s (building on qualitative content analysis traditions from 1983–2012)2006
창시자Adapted from Philipp Mayring and Margrit Schreier; digital extension by multiple scholars in the 2010sVirginia Braun and Victoria Clarke
유형Qualitative research methodMethod
원전Schreier, 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 ↗
별칭DQCA, qualitative content analysis of digital data, online qualitative content analysis, digital QCATA, Reflexive Thematic Analysis
관련43
요약Digital 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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