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| Model de Rasch politòmic× | Teoria de la Resposta a l'Ítem Ordinal× | |
|---|---|---|
| Camp | Psicometria | Psicometria |
| Família | Latent structure | Latent structure |
| Any d'origen≠ | 1978–1982 | 1969 |
| Autor original≠ | Gerhard N. Masters (Partial Credit Model); David Andrich (Rating Scale Model) | Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial credit |
| Tipus≠ | Item response model | Probabilistic latent trait model for ordered polytomous responses |
| Font seminal≠ | Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174. DOI ↗ | Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. link ↗ |
| Àlies | PRM, Rating Scale Model, Partial Credit Model, Polytomous IRT Rasch | polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait models |
| Relacionats | 6 | 6 |
| Resum≠ | The Polytomous Rasch Model extends the dichotomous Rasch framework to ordered response scales with three or more categories, such as Likert items or partial-credit tasks. It estimates person ability and item difficulty on the same interval-level logit scale, and it tests whether the response categories function as intended — prerequisites for rigorous ordinal measurement. | Ordinal item response theory (ordinal IRT) comprises a family of probabilistic models — most notably the Graded Response Model and the Partial Credit Model — that relate a respondent's standing on a latent trait to the probability of choosing each ordered response category on a polytomous item. It extends classical IRT beyond dichotomous items to the Likert-type and rating-scale items that dominate psychometric measurement. |
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