Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Vícestupňová exploratorní faktorová analýza (MGEFA)× | Teorie odpovědi na položku (IRT)× | |
|---|---|---|
| Obor | Psychometrika | Psychometrika |
| Rodina | Latent structure | Latent structure |
| Rok vzniku≠ | 1981 | 1952–1968 |
| Tvůrce≠ | Muthén & Christoffersson | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Typ≠ | Latent variable / multi-group dimension reduction | Probabilistic measurement model |
| Původní zdroj≠ | Muthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419. DOI ↗ | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Další názvy | MGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groups | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Příbuzné≠ | 6 | 5 |
| Shrnutí≠ | Multi-group exploratory factor analysis estimates the latent factor structure of a set of items separately within each of two or more groups and then examines whether the discovered structures are consistent across groups. It is used to explore dimensionality before imposing invariance constraints, and to diagnose group-specific factor patterns that would invalidate cross-group comparisons. | 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. |
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