Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Συγκριτική Αυτοεθνογραφία× | Συγκριτική Εθνογραφία× | |
|---|---|---|
| Πεδίο | Ποιοτικές Μέθοδοι | Ποιοτικές Μέθοδοι |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1979 (autoethnography); comparative application formalized ~2013 | 1987–1995 (systematic comparative ethnography formalized) |
| Δημιουργός≠ | Hayano (term); developed further by Ellis, Bochner, Chang, Ngunjiri & Hernandez | George E. Marcus (multi-sited formulation); Charles C. Ragin (comparative logic) |
| Τύπος≠ | Qualitative research design | Qualitative comparative research design |
| Θεμελιώδης πηγή≠ | Chang, H., Ngunjiri, F. W., & Hernandez, K.-A. C. (2013). Collaborative Autoethnography. Left Coast Press. ISBN: 978-1598745948 | Marcus, G. E. (1995). Ethnography in/of the world system: The emergence of multi-sited ethnography. Annual Review of Anthropology, 24, 95–117. DOI ↗ |
| Εναλλακτικές ονομασίες | collaborative autoethnography, multi-sited autoethnography, cross-cultural autoethnography, CAE | multi-sited ethnography, cross-site ethnography, comparative field research, comparative participant observation |
| Συναφείς | 6 | 6 |
| Σύνοψη≠ | 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. | Comparative ethnography is a qualitative research design that conducts in-depth ethnographic fieldwork across two or more sites, groups, communities, or cultural settings in order to generate systematic comparisons. Rather than describing a single community in isolation, it traces similarities, differences, and interconnections across cases, producing theoretically grounded insights that no single site could yield alone. |
| ScholarGateΣύνολο δεδομένων ↗ |
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