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| Eksploracyjna analiza czynnikowa dla danych politomicznych× | Model odpowiedzi stopniowanej (GRM)× | |
|---|---|---|
| Dziedzina | Psychometria | Psychometria |
| Rodzina | Latent structure | Latent structure |
| Rok powstania≠ | 1978 | 1969 |
| Twórca≠ | Bengt Muthén | Fumiko Samejima |
| Typ≠ | Latent variable / dimension reduction | Item response theory / polytomous IRT 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. DOI ↗ | Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17. link ↗ |
| Inne nazwy≠ | EFA for ordered-categorical data, polychoric EFA, ordinal exploratory factor analysis, polytomous factor analysis | Samejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model |
| Pokrewne≠ | 4 | 7 |
| Podsumowanie≠ | Polytomous exploratory factor analysis extends standard EFA to ordered categorical (Likert-type) response data by replacing the Pearson correlation matrix with a polychoric correlation matrix. It recovers the latent continuous variable that each polytomous item is assumed to reflect, yielding more accurate factor loadings and better-defined factor structures than treating ordinal scores as if they were continuous. | The Graded Response Model is an item response theory model developed by Fumiko Samejima in 1969 for ordered polytomous items such as Likert-type scales. It estimates both the discriminating power of each item and a set of threshold parameters marking the boundaries between adjacent response categories, while simultaneously placing persons on a continuous latent trait scale. |
| ScholarGateZbiór danych ↗ |
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