Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Cultural Domain Analysis× | Triad Test× | |
|---|---|---|
| Domaine | Anthropology | Anthropology |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1994 | 1988 |
| Auteur d'origine≠ | Stephen P. Borgatti (synthesis of cognitive anthropology methods) | Cognitive anthropology tradition (Weller & Romney; Borgatti) |
| Type≠ | Integrated framework for eliciting and analyzing cultural domains | Elicitation procedure for fine-grained perceived similarity |
| Source fondatrice≠ | Borgatti, S. P. (1994). Cultural domain analysis. Journal of Quantitative Anthropology, 4(4), 261–278. link ↗ | Weller, S. C., & Romney, A. K. (1988). Systematic Data Collection. Qualitative Research Methods Series 10. Newbury Park, CA: Sage. ISBN: 9780803930742 |
| Alias | CDA, Domain Analysis (cognitive anthropology), Cultural Domains Approach, Cognitive Domain Analysis | Triadic Comparison, Triads Task, Method of Triads, Triad Sorting |
| Apparentées | 4 | 4 |
| Résumé≠ | 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?' | The triad test is an elicitation technique for measuring perceived similarity among the items of a cultural domain. Informants are shown items three at a time and asked to pick the one that is most different (or, equivalently, which two are most alike). Across many triads and many informants, the pattern of which items are repeatedly kept together yields a fine-grained similarity matrix that is analyzed with multidimensional scaling and clustering. |
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