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| Ethnographic Interview× | Cultural Domain Analysis× | |
|---|---|---|
| Tudományterület | Anthropology | Anthropology |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 1979 | 1994 |
| Megalkotó≠ | James P. Spradley | Stephen P. Borgatti (synthesis of cognitive anthropology methods) |
| Típus≠ | Structured developmental sequence of interview questions for eliciting cultural knowledge | Integrated framework for eliciting and analyzing cultural domains |
| Alapmű≠ | Spradley, J. P. (1979). The Ethnographic Interview. New York: Holt, Rinehart and Winston. ISBN: 9780030444968 | Borgatti, S. P. (1994). Cultural domain analysis. Journal of Quantitative Anthropology, 4(4), 261–278. link ↗ |
| Alternatív nevek | Spradley Interview, Developmental Research Sequence Interview, Ethnographic Interviewing, Domain Elicitation Interview | CDA, Domain Analysis (cognitive anthropology), Cultural Domains Approach, Cognitive Domain Analysis |
| Kapcsolódó≠ | 3 | 4 |
| Összefoglaló≠ | The ethnographic interview, formalized by James Spradley, is a deliberately staged conversation whose goal is to discover how an insider categorizes and talks about their own cultural world rather than to test the researcher's categories. It proceeds through a developmental research sequence of question types — broad grand-tour questions, fine-grained descriptive questions, structural questions that probe how knowledge is organized, and contrast questions that surface the distinctions informants draw between terms. The point is not a list of facts but a reconstructed map of meanings expressed in the informant's own native terms. | Cultural domain analysis is the integrated framework in cognitive anthropology for discovering the content and structure of a cultural domain — a coherent set of related items such as illnesses, animals, kin terms, or emotions — as the members of a culture themselves organize it. It chains together elicitation methods (free listing, pile sorting, triad tests) and analytic methods (salience, multidimensional scaling, clustering, consensus analysis) to move from 'what items are in this domain?' to 'how are they organized and how widely is that organization shared?' |
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