Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Комп'ютерне адаптивне тестування з моделлю Раша (CAT-Rasch)× | Конфірматорний факторний аналіз (КФА)× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1960 (Rasch model); CAT integration from 1970s onward | 1969 |
| Автор методу≠ | Georg Rasch (measurement model); adaptive testing formalized by Wainer, van der Linden, and others | Karl Gustav Jöreskog |
| Тип≠ | Adaptive psychometric measurement | Hypothesis-testing latent variable model |
| Основоположне джерело≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Інші назви | CAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurement | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Пов'язані≠ | 5 | 4 |
| Підсумок≠ | Computerized adaptive testing with the Rasch model selects items in real time based on each examinee's evolving ability estimate, so that every person receives a test precisely calibrated to their proficiency level. The result is a shorter, more efficient measurement instrument that loses none of the precision of a full-length fixed-form test. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
| ScholarGateНабір даних ↗ |
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