Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Политомический конфирматорный факторный анализ× | Теория отклика на задания (IRT)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1984 | 1952–1968 |
| Автор метода≠ | Bengt Muthen | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Тип≠ | Latent variable / confirmatory measurement model | Probabilistic measurement model |
| Основополагающий источник≠ | 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. DOI ↗ | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Другие названия | CFA for ordered categories, ordinal CFA, categorical CFA, WLSMV-CFA | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Связанные | 5 | 5 |
| Сводка≠ | Polytomous confirmatory factor analysis (CFA) tests a pre-specified factor structure when items have three or more ordered response categories (e.g., Likert scales). By working with polychoric correlations and robust estimators such as WLSMV, it avoids the distortions that arise when ordered categorical data are treated as continuous. | 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. |
| ScholarGateНабор данных ↗ |
|
|