Comparar métodos

	Cultural Models Analysis	Cultural Consensus Model
Área	Anthropology	Anthropology
Família	Process / pipeline	Latent structure
Ano de origem	2005	1986
Autor original	Cognitive anthropology of cultural models (Quinn, Holland, D'Andrade, Strauss)	A. Kimball Romney, Susan C. Weller & William H. Batchelder
Tipo	Discourse-analytic method for reconstructing shared tacit cognitive schemas	Latent-structure measurement model for shared cultural knowledge
Fonte seminal	Quinn, N. (Ed.) (2005). Finding Culture in Talk: A Collection of Methods. New York: Palgrave Macmillan. ISBN: 9781403969132	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.
Outros nomes	Cultural Schema Analysis, Cultural Models Theory, Schema-Based Discourse Analysis, Finding Culture in Talk	Cultural Consensus Theory, CCT, Consensus Analysis, Informant Accuracy Model
Relacionados	4	4
Resumo	Cultural models analysis is a discourse-analytic method for reconstructing the shared, largely tacit cognitive schemas — the cultural models — that organize how members of a group understand a domain such as marriage, success, or illness. Rather than asking people to state their models directly (they usually cannot), the analyst examines what speakers say spontaneously: the key words they reach for, the metaphors they reason with, and the assumptions their arguments take for granted. Recurring patterns across many speakers' talk are taken as traces of an underlying schema that the talk presupposes but never fully spells out.	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.