Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Вибухове моделювання структурними рівняннями× | Методологія простору правил× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 2009 | 1983 |
| Автор методу≠ | Tihomir Asparouhov, Bengt Muthén | Kikumi K. Tatsuoka |
| Тип≠ | Hybrid exploratory-confirmatory factor modeling | IRT-based diagnostic classification |
| Основоположне джерело≠ | Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16(3), 397-438. DOI ↗ | Hartz, S. M. (2002). A Bayesian framework for the unified treatment of assessing dimensionality, assessing local dependence, and estimating ability for unidimensional and multidimensional item response data. Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign. link ↗ |
| Інші назви | ESEM | RSM |
| Пов'язані | 5 | 5 |
| Підсумок≠ | Exploratory Structural Equation Modeling (ESEM) is a hybrid approach that combines exploratory factor analysis (EFA) with confirmatory factor analysis (CFA) and path modeling, developed by Asparouhov and Muthén (2009). ESEM relaxes restrictive zero-loading assumptions of traditional CFA, allowing all indicators to load on all factors, which can reveal cross-factor complexity and improve model fit while retaining the ability to test substantive structural theories. | Rule Space Methodology (RSM) is a diagnostic classification approach developed by Tatsuoka (1983) that uses Item Response Theory and geometric methods to classify examinees into knowledge states based on their response patterns. Unlike classical scoring, RSM identifies which specific skills or competencies an examinee possesses or lacks, enabling targeted educational interventions. |
| ScholarGateНабір даних ↗ |
|
|