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比較オートエスノグラフィー×反射的テーマティック・アナリシス×
分野質的手法質的手法
系統Process / pipelineProcess / pipeline
提唱年1979 (autoethnography); comparative application formalized ~20132006 (seminal paper); explicitly named 'reflexive' from ~2019
提唱者Hayano (term); developed further by Ellis, Bochner, Chang, Ngunjiri & HernandezVirginia Braun & Victoria Clarke
種類Qualitative research designQualitative research method
原典Chang, H., Ngunjiri, F. W., & Hernandez, K.-A. C. (2013). Collaborative Autoethnography. Left Coast Press. ISBN: 978-1598745948Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
別名collaborative autoethnography, multi-sited autoethnography, cross-cultural autoethnography, CAERTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis
関連66
概要Comparative autoethnography is a qualitative design in which two or more researchers — or research participants — independently produce first-person self-narratives about a shared phenomenon and then systematically compare those accounts to generate broader cultural insight. By juxtaposing lived experiences that differ by context, identity, or setting, the approach moves beyond the single-voice limitations of traditional autoethnography while retaining its hallmark reflexivity and personal depth.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データセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

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ScholarGate手法を比較: Comparative autoethnography · Reflexive Thematic Analysis. 2026-06-18に以下より取得 https://scholargate.app/ja/compare