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Modello a Credito Parziale (PCM / GPCM)×Modello a Risposta Graduata (GRM)×
CampoPsicometriaPsicometria
FamigliaLatent structureLatent structure
Anno di origine19821969
IdeatoreGeoff N. Masters (PCM, 1982); Eiji Muraki (GPCM, 1992)Fumiko Samejima
TipoItem Response Theory / Polytomous IRTItem response theory / polytomous IRT model
Fonte seminaleMasters, 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, No. 17. link ↗
AliasKısmi Kredi Modeli (PCM / GPCM), Generalized Partial Credit Model, GPCM, PCMSamejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model
Correlati57
SintesiThe Partial Credit Model is an extension of the Rasch measurement framework designed for ordered polytomous items — items whose responses fall into more than two ordered categories, such as partial-credit tasks in performance assessment or open-ended scoring rubrics. Proposed by Geoff Masters in 1982 and later generalised by Eiji Muraki in 1992, the model estimates a separate threshold (step) parameter for each adjacent-category transition within every item, allowing fine-grained calibration of how much each additional credit level contributes to locating a person on the latent trait.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.
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ScholarGateConfronta i metodi: PCM / GPCM · GRM. Consultato il 2026-06-17 da https://scholargate.app/it/compare