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多案例反思主题分析×Braun & Clarke 的反思性主题分析法×
领域质性质性
方法族Process / pipelineProcess / pipeline
起源年份2006 (RTA origins); 2010s onward (combined application)2006 (seminal paper); explicitly named 'reflexive' from ~2019
提出者Braun & Clarke (reflexive thematic analysis); Yin (multiple case study framework)Virginia Braun & Victoria Clarke
类型Qualitative research design and analysis approachQualitative research method
开创性文献Braun, V., & Clarke, V. (2021). Thematic Analysis: A Practical Guide. Sage. ISBN: 978-1473953246Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
别名MC-RTA, multi-case reflexive thematic analysis, cross-case reflexive thematic analysis, multiple case RTARTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis
相关66
摘要Multiple case-based reflexive thematic analysis integrates Braun and Clarke's reflexive thematic analysis (RTA) with a multiple case study framework. Qualitative data are collected from two or more bounded cases, RTA is applied within each case to generate case-specific themes, and the themes are then compared and synthesised across cases. The approach preserves the depth and interpretive richness of RTA while enabling cross-case pattern recognition that single-case designs cannot provide.Reflexive Thematic Analysis (RTA) is a widely used qualitative method for identifying, analysing, and interpreting patterns of shared meaning — called themes — across a dataset. Developed by Virginia Braun and Victoria Clarke, it is theoretically flexible, works across epistemological positions, and foregrounds the researcher's active, interpretive role rather than treating themes as features that simply emerge from data. It differs from older 'codebook' approaches by treating the analyst's subjectivity as a resource rather than a source of bias to be suppressed.
ScholarGate数据集
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  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Multiple Case-Based Reflexive Thematic Analysis · Reflexive Thematic Analysis. 于 2026-06-18 检索自 https://scholargate.app/zh/compare