Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Teoria Răspunsului la Item (IRT)× | Analiza Factorială Exploratorie (EFA)× | |
|---|---|---|
| Domeniu≠ | Psihometrie | Statistică |
| Familie | Latent structure | Latent structure |
| Anul apariției≠ | 1952–1968 | — |
| Autorul original≠ | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) | — |
| Tip≠ | Probabilistic measurement model | Latent variable / dimension reduction |
| Sursa seminală≠ | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ | 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≠ | IRT, latent trait theory, item characteristic curve theory, modern test theory | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Înrudite≠ | 5 | 4 |
| Rezumat≠ | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. | 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. |
| ScholarGateSet de date ↗ |
|
|