Comparer des méthodes

	Théorie de la Réponse à l'Item Ordinal	Modèle de Réponse Graduée (GRM)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1969	1969
Auteur d'origine	Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial credit	Fumiko Samejima
Type	Probabilistic latent trait model for ordered polytomous responses	Item response theory / polytomous IRT model
Source fondatrice	Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97.	Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17.
Alias	polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait models	Samejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model
Apparentées	6	7
Résumé	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.	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.