Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Когнитивное диагностическое адаптивное компьютерное тестирование× | Fuzzy-Set Qualitative Comparative Analysis× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 2007 | 2000 |
| Автор метода≠ | Xueli Xu, Jean-Paul Fox | Charles Ragin |
| Тип≠ | Skill-adaptive testing with psychometric diagnostic classification | Set-theoretic configurational method |
| Основополагающий источник≠ | Choi, K. M., Lee, Y. S., & Park, Y. S. (2015). What CDM can tell about examinees' strengths and weaknesses: Cognitive diagnostic information in TIMSS. Journal of Educational Evaluation for Policy Analysis, 24(1), 79-100. link ↗ | Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗ |
| Другие названия≠ | CD-CAT | fsQCA, FSQCA |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) combines computerized adaptive testing (CAT) with cognitive diagnostic models (CDMs) to efficiently assess students' specific skill profiles. Rather than producing a single overall ability score, CD-CAT adaptively selects items to quickly identify which skills a student has mastered and which need development. | 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 ↗ |
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