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| Cultural Domain Analysis× | Cultural Consensus Model× | |
|---|---|---|
| Tudományterület | Anthropology | Anthropology |
| Módszercsalád≠ | Process / pipeline | Latent structure |
| Keletkezés éve≠ | 1994 | 1986 |
| Megalkotó≠ | Stephen P. Borgatti (synthesis of cognitive anthropology methods) | A. Kimball Romney, Susan C. Weller & William H. Batchelder |
| Típus≠ | Integrated framework for eliciting and analyzing cultural domains | Latent-structure measurement model for shared cultural knowledge |
| Alapmű≠ | Borgatti, S. P. (1994). Cultural domain analysis. Journal of Quantitative Anthropology, 4(4), 261–278. link ↗ | Romney, A. K., Weller, S. C., & Batchelder, W. H. (1986). Culture as consensus: A theory of culture and informant accuracy. American Anthropologist, 88(2), 313–338. DOI ↗ |
| Alternatív nevek | CDA, Domain Analysis (cognitive anthropology), Cultural Domains Approach, Cognitive Domain Analysis | Cultural Consensus Theory, CCT, Consensus Analysis, Informant Accuracy Model |
| Kapcsolódó | 4 | 4 |
| Összefoglaló≠ | 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 cultural consensus model is a latent-structure measurement framework that estimates the culturally shared answers to a set of questions and, simultaneously, how much each informant knows, without the researcher knowing the correct answers in advance. Introduced by Romney, Weller and Batchelder in 1986, it treats agreement among informants as evidence of shared knowledge and uses a factor-analytic (or, in modern variants, Bayesian) decomposition to recover both a single 'answer key' and an informant-specific competence score. |
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