手法を比較

	視覚的誘発オートエスノグラフィー	ナラティブ・インクワイアリー	反射的テーマティック・アナリシス
分野	質的手法	質的研究	質的手法
系統	Process / pipeline	Process / pipeline	Process / pipeline
提唱年	2000s–2010s	2000	2006 (seminal paper); explicitly named 'reflexive' from ~2019
提唱者	Synthesised from Douglas Harper (photo elicitation, 2002) and Heewon Chang (autoethnography as method, 2008); popularised in education and health humanities research in the 2010s	D. Jean Clandinin and F. Michael Connelly	Virginia Braun & Victoria Clarke
種類	Qualitative self-study design	Method	Qualitative research method
原典	Chang, H. (2008). Autoethnography as Method. Left Coast Press. ISBN: 978-1598741230	Clandinin, D. J., & Connelly, F. M. (2000). Narrative inquiry: Experience and story in qualitative research. Jossey-Bass.	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
別名	VEA, photo-elicitation autoethnography, visual autoethnography, image-elicited autoethnography	Narrative Analysis, Narrative Research, Life Story Method	RTA, reflexive TA, Braun and Clarke thematic analysis, qualitative thematic analysis
関連	3	3	6
概要	Visual elicitation autoethnography (VEA) is a qualitative self-study method that combines the personal narrative orientation of autoethnography with the stimulus power of visual artefacts — photographs, drawings, or found images — to prompt and deepen autobiographical reflection. The researcher produces or selects images from their own life, then uses those images as elicitation tools to generate rich written or spoken narratives about a cultural phenomenon they have lived through, positioning the self as both researcher and research subject.	Narrative inquiry is a qualitative research methodology that treats stories and life narratives as primary data, analyzing how individuals construct meaning and identity through storytelling. Developed by D. Jean Clandinin and F. Michael Connelly (2000), narrative inquiry examines the narratives people tell about their lives, experiences, and transitions, understanding that people make sense of experience through narrative.	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.