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| Cultural Salience Analysis× | Cultural Domain Analysis× | |
|---|---|---|
| Bidang | Anthropology | Anthropology |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1997 | 1994 |
| Pengasas≠ | Smith & Borgatti; cognitive anthropology tradition | Stephen P. Borgatti (synthesis of cognitive anthropology methods) |
| Jenis≠ | Analysis procedure for quantifying item importance in free-list data | Integrated framework for eliciting and analyzing cultural domains |
| Sumber perintis≠ | Bernard, H. R. (2017). Research Methods in Anthropology: Qualitative and Quantitative Approaches (6th ed.). Lanham, MD: Rowman & Littlefield. ISBN: 9780759112421 | Borgatti, S. P. (1994). Cultural domain analysis. Journal of Quantitative Anthropology, 4(4), 261–278. link ↗ |
| Alias | Salience Analysis, Smith's Salience Index, Free-List Salience Analysis, Item Salience Scoring | CDA, Domain Analysis (cognitive anthropology), Cultural Domains Approach, Cognitive Domain Analysis |
| Berkaitan | 4 | 4 |
| Ringkasan≠ | Cultural salience analysis is the analytical step that turns raw free-list data into a ranked measure of how culturally central each item is, by combining two signals that free lists capture for free: how often an item is mentioned and how early it appears in informants' lists. The standard estimator is Smith's salience index S, which credits each item for being both common across people and prominent in recall, then averages that credit over the whole sample. Breaking salience out by code or subgroup further reveals how the importance of items shifts across genders, ages, expertise levels, or cultural groups. | 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?' |
| ScholarGateSet data ↗ |
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