Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ необходимых условий× | Fuzzy-Set Qualitative Comparative Analysis× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 2016 | 2000 |
| Автор метода≠ | Jan Dul | Charles Ragin |
| Тип≠ | Set-theoretic configurational analysis | Set-theoretic configurational method |
| Основополагающий источник≠ | Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52. DOI ↗ | Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗ |
| Другие названия≠ | NCA | fsQCA, FSQCA |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Necessary Condition Analysis (NCA) is a set-theoretic method developed by Dul (2016) that identifies conditions necessary (but not necessarily sufficient) for an outcome to occur. Unlike regression, which estimates average effects, NCA identifies absolute thresholds: conditions that must be present at a certain level for the outcome to be possible, regardless of other factors. | Fuzzy-Set Qualitative Comparative Analysis (fsQCA) is a set-theoretic method developed by Charles Ragin in the early 2000s that combines the configurational logic of qualitative case studies with the mathematical rigor of fuzzy sets. It bridges qualitative and quantitative research by allowing researchers to examine causal complexity through combinations of conditions (configurations) rather than isolated variables. |
| ScholarGateНабор данных ↗ |
|
|