Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Most Different Systems Design× | Qualitative Comparative Analysis× | |
|---|---|---|
| Область | Political Science | Political Science |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1970 | 1987 |
| Автор метода≠ | John Stuart Mill (method of agreement); Przeworski & Teune (systems framing) | Charles C. Ragin |
| Тип≠ | Small-N comparative case-selection design | Set-theoretic, configurational comparative method |
| Основополагающий источник≠ | Przeworski, A., & Teune, H. (1970). The Logic of Comparative Social Inquiry. New York: Wiley-Interscience. ISBN: 9780471701422 | Ragin, C. C. (1987). The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. Berkeley: University of California Press. ISBN: 9780520058347 |
| Другие названия | MDSD, Most different cases design, Mill's method of agreement, Diverse systems design | QCA, csQCA, fsQCA, Configurational comparative method |
| Связанные | 3 | 3 |
| Сводка≠ | The most different systems design (MDSD) is a small-N comparative strategy that selects cases that differ on as many background characteristics as possible yet share the same outcome. If wildly dissimilar cases nonetheless converge on the same result, the explanation cannot lie in the many features on which they differ — it must lie in whatever they have in common. Grounded in John Stuart Mill's method of agreement and named by Przeworski and Teune, it is the mirror image of the most similar systems design and a staple of comparative politics. | Qualitative Comparative Analysis (QCA) is a set-theoretic, configurational method that identifies which combinations of conditions are necessary or sufficient for an outcome across a set of cases. Developed by Charles Ragin, it treats each case as a configuration of set memberships, builds a truth table of all logically possible combinations, and uses Boolean algebra to minimize them into the simplest expressions that account for the outcome. It bridges qualitative case knowledge and cross-case generalization, embracing causal complexity through conjunctural causation, equifinality, and asymmetry. |
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