Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Компютъризирано адаптивно тестване с модела на Раш (CAT-Rasch)× | Конфирматорният факторен анализ (CFA)× | |
|---|---|---|
| Област | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Година на възникване≠ | 1960 (Rasch model); CAT integration from 1970s onward | 1969 |
| Създател≠ | 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 |
| Основополагащ източник≠ | 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 ↗ |
| Други названия | CAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurement | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Свързани≠ | 5 | 4 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
|
|