Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Rank-Order Elicitation× | Triad Test× | |
|---|---|---|
| Область | Anthropology | Anthropology |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления | 1988 | 1988 |
| Автор метода≠ | Cognitive anthropology tradition (Weller & Romney) | Cognitive anthropology tradition (Weller & Romney; Borgatti) |
| Тип≠ | Elicitation procedure for ordering items on a single criterion | Elicitation procedure for fine-grained perceived similarity |
| Основополагающий источник | Weller, S. C., & Romney, A. K. (1988). Systematic Data Collection. Qualitative Research Methods Series 10. Newbury Park, CA: Sage. ISBN: 9780803930742 | Weller, S. C., & Romney, A. K. (1988). Systematic Data Collection. Qualitative Research Methods Series 10. Newbury Park, CA: Sage. ISBN: 9780803930742 |
| Другие названия | Ranking Task, Complete Ranking Elicitation, Ordinal Ranking Task, Rank Aggregation | Triadic Comparison, Triads Task, Method of Triads, Triad Sorting |
| Связанные | 4 | 4 |
| Сводка≠ | Rank-order elicitation asks each informant to place a set of items into a complete order on a single criterion — from most to least important, severe, preferred, or typical — so that the whole domain is captured in one ordinal judgment per person. Unlike paired comparison, which gathers many local two-item choices, ranking obtains the global order directly, trading some redundancy for speed. Aggregating the individual rankings produces a group ordering, while a concordance statistic measures how strongly the informants agree. | 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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