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基于田野的自反性主题分析×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2019–2021 (RTA formalised); field application concurrent2006 (seminal paper); explicitly named 'reflexive' from ~2019
提出者Virginia Braun & Victoria Clarke (RTA foundation); applied to field settings via ethnographic traditionsVirginia Braun & Victoria Clarke
类型Qualitative analysis approachQualitative research method
开创性文献Braun, V., & Clarke, V. (2021). Thematic Analysis: A Practical Guide. Sage. ISBN: 9781473953932Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
别名field RTA, ethnographic reflexive thematic analysis, naturalistic RTA, field-based RTARTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis
相关56
摘要Field-based Reflexive Thematic Analysis (field RTA) integrates ethnographic data collection — participant observation, field notes, and naturalistic interviews — with the epistemologically explicit, researcher-centred analytic framework of Braun and Clarke's Reflexive Thematic Analysis. It is used when themes must be grounded in observed social practice rather than retrospective accounts alone, placing the researcher's active, documented reflexivity at the centre of both data gathering and interpretation.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
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  3. PUBLISHED

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ScholarGate方法对比: Field-based Reflexive Thematic Analysis · Reflexive Thematic Analysis. 于 2026-06-19 检索自 https://scholargate.app/zh/compare