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	Eksploracyjna analiza czynnikowa dla danych porządkowych	Teoria odpowiedzi na pozycje (IRT)
Dziedzina	Psychometria	Psychometria
Rodzina	Latent structure	Latent structure
Rok powstania	1978–1984	1952–1968
Twórca	Bengt Muthén	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Typ	Latent variable / dimension reduction	Probabilistic measurement model
Źródło pierwotne	Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491.	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Inne nazwy	ordinal factor analysis, polychoric EFA, categorical EFA, EFA for ordinal data	IRT, latent trait theory, item characteristic curve theory, modern test theory
Pokrewne	5	5
Podsumowanie	Ordinal exploratory factor analysis discovers latent factors underlying a set of ordinal items — typically Likert scales — by computing polychoric correlations among the items and then applying a weighted least squares estimator. It avoids the distortions that arise when continuous EFA methods are naively applied to ordered categorical responses.	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.