Porównaj metody

	Krytyczna autoetnografia	Autoetnografia interpretatywna
Dziedzina	Metody jakościowe	Metody jakościowe
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2000s–2010s (crystallised as named approach ~2012)	1990s–2000s
Twórca	Robin M. Boylorn, Mark P. Orbe (editors of foundational volume); D. Soyini Madison (critical ethnography lineage)	Carolyn Ellis, Arthur Bochner (evocative strand); Leon Anderson (analytic/interpretive strand)
Typ	Qualitative research design	Qualitative self-study design
Źródło pierwotne	Madison, D. S. (2005). Critical Ethnography: Method, Ethics, and Performance. Sage. ISBN: 978-0761929505	Ellis, C., Adams, T. E., & Bochner, A. P. (2011). Autoethnography: An overview. Forum: Qualitative Social Research, 12(1), Art. 10.
Inne nazwy	CAE, critical auto-ethnography, critical self-ethnography, critical performative autoethnography	interpretive autoethnography, evocative autoethnography, analytic autoethnography, IAE
Pokrewne	6	6
Podsumowanie	Critical autoethnography combines the self-reflective personal narrative of autoethnography with the social-justice orientation of critical theory. The researcher uses their own lived experience as primary data to interrogate power structures, systemic inequalities, and cultural norms — treating the personal not merely as testimony but as a site for political and theoretical critique. It is widely used to center the voices of marginalized groups and challenge dominant social narratives.	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.