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Modèle de Réponse Graduée (GRM)×Modèle de Rasch×
DomainePsychométriePsychométrie
FamilleLatent structureLatent structure
Année d'origine19691960
Auteur d'origineFumiko SamejimaGeorg Rasch
TypeItem response theory / polytomous IRT modelItem Response Theory / Latent trait model
Source fondatriceSamejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17. link ↗Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗
AliasSamejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
Apparentées76
RésuméThe 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.The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: GRM · Rasch Model. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare