विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| कंप्यूटरीकृत अनुकूली परीक्षण मैकडोनाल्ड ओमेगा× | पुष्टिकारीय कारक विश्लेषण (CFA)× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1999 (omega); CAT application 2000s–2010s | 1969 |
| प्रवर्तक≠ | Roderick P. McDonald (omega); CAT-omega application extended by IRT and psychometric reliability researchers | Karl Gustav Jöreskog |
| प्रकार≠ | Reliability coefficient for adaptive tests | Hypothesis-testing latent variable model |
| मौलिक स्रोत≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| उपनाम | CAT omega reliability, omega in adaptive testing, hierarchical omega for CAT, CAT composite reliability | CFA, confirmatory FA, measurement model, restricted factor analysis |
| संबंधित≠ | 5 | 4 |
| सारांश≠ | McDonald's omega adapted for computerized adaptive testing (CAT) quantifies the reliability of ability or trait estimates when different examinees answer different subsets of items. Unlike Cronbach's alpha, omega is grounded in a factor model, making it suitable for the heterogeneous item pools and variable test lengths that characterize adaptive administrations. | 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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