Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Testare Adaptivă Computerizată bazată pe Teoria Răspunsului la Item (CAT-IRT)× | Analiza Factorială Exploratorie (EFA)× | |
|---|---|---|
| Domeniu≠ | Psihometrie | Statistică |
| Familie | Latent structure | Latent structure |
| Anul apariției≠ | 1970s–1980s | — |
| Autorul original≠ | Lord, F. M.; further developed by Wainer, van der Linden, and others | — |
| Tip≠ | Adaptive measurement / sequential testing | Latent variable / dimension reduction |
| Sursa seminală≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Denumiri alternative≠ | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Înrudite | 4 | 4 |
| Rezumat≠ | Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
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