Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Модель DINO× | Модель DINA× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 2006 | 2001 |
| Автор методу≠ | James Templin, Russell Henson | Brian Junker, Klaas Sijtsma |
| Тип≠ | Disjunctive latent class model | Discrete latent class model |
| Основоположне джерело≠ | Templin, J., & Henson, R. A. (2006). Measurement of psychological disorders using cognitive diagnosis models. Psychological Methods, 11(3), 287-305. DOI ↗ | Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25(3), 258-272. DOI ↗ |
| Інші назви | DINO | DINA |
| Пов'язані | 4 | 4 |
| Підсумок≠ | The DINO Model (Deterministic Inputs, Noisy Outputs—Disjunctive) is a cognitive diagnostic model that relaxes DINA's conjunctive (AND) skill requirement logic. DINO assumes an examinee only needs to master one of multiple possible skill pathways to answer an item correctly, making it suitable for scenarios where skills are substitutable or alternative routes to success exist. | The DINA Model (Deterministic Inputs, Noisy Outputs) is a cognitive diagnostic model developed by Junker and Sijtsma (2001) that classifies examinees into latent skill classes based on their item response patterns. DINA assumes a deterministic relationship between skill mastery and correct responses, with probabilistic error accounting for guessing and slips. |
| ScholarGateНабір даних ↗ |
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