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현장 기반 자기인류학×해석적 자동민족지×
분야질적 방법질적 방법
계열Process / pipelineProcess / pipeline
기원 연도1990s–2000s1990s–2000s
창시자Ellis, Adams, and Bochner; building on autoethnography foundations by Carolyn Ellis and Arthur BochnerCarolyn Ellis, Arthur Bochner (evocative strand); Leon Anderson (analytic/interpretive strand)
유형Qualitative research designQualitative self-study design
원전Ellis, C., Adams, T. E., & Bochner, A. P. (2011). Autoethnography: An overview. Forum: Qualitative Social Research, 12(1), Art. 10. link ↗Ellis, C., Adams, T. E., & Bochner, A. P. (2011). Autoethnography: An overview. Forum: Qualitative Social Research, 12(1), Art. 10. link ↗
별칭field autoethnography, site-based autoethnography, embodied field autoethnography, FBAEinterpretive autoethnography, evocative autoethnography, analytic autoethnography, IAE
관련66
요약Field-based autoethnography is a qualitative research design in which the researcher immerses themselves in a specific physical or social setting and draws on their own lived experience within that field to produce analytically reflexive accounts. It blends the systematic observational practices of ethnographic fieldwork with the first-person introspective voice of autoethnography, generating knowledge that is simultaneously personal, cultural, and contextually grounded.Interpretive autoethnography is a qualitative research design in which the researcher uses systematic analysis of their own lived experience as the primary data source, moving beyond evocative personal narrative to connect personal meaning with broader cultural, social, or theoretical frameworks. Drawing on Leon Anderson's analytic strand and building on Ellis and Bochner's foundational work, it treats the researcher's self-account as both evidence and interpretive lens, subjecting personal stories to disciplined ethnographic and theoretical scrutiny to generate insights that extend beyond the individual case.
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ScholarGate방법 비교: Field-based autoethnography · Interpretive autoethnography. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare