השוואת שיטות
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| מבחנים אדפטיביים ממוחשבים עם מודל רש (CAT-Rasch)× | ניתוח גורמים מאשר (CFA)× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1960 (Rasch model); CAT integration from 1970s onward | 1969 |
| הוגה השיטה≠ | Georg Rasch (measurement model); adaptive testing formalized by Wainer, van der Linden, and others | Karl Gustav Jöreskog |
| סוג≠ | Adaptive psychometric measurement | Hypothesis-testing latent variable model |
| מקור מכונן≠ | 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 ↗ |
| כינויים | CAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurement | CFA, confirmatory FA, measurement model, restricted factor analysis |
| קשורות≠ | 5 | 4 |
| תקציר≠ | 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. |
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