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Teoria odpowiedzi na pozycje porządkowe×Model odpowiedzi stopniowanej (GRM)×
DziedzinaPsychometriaPsychometria
RodzinaLatent structureLatent structure
Rok powstania19691969
TwórcaFumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial creditFumiko Samejima
TypProbabilistic latent trait model for ordered polytomous responsesItem response theory / polytomous IRT model
Źródło pierwotneSamejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. link ↗Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17. link ↗
Inne nazwypolytomous IRT, ordinal IRT models, graded response models, ordinal latent trait modelsSamejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model
Pokrewne67
PodsumowanieOrdinal 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.
ScholarGateZbiór danych
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  2. 2 Źródła
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  1. v1
  2. 2 Źródła
  3. PUBLISHED

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ScholarGatePorównaj metody: Ordinal IRT · GRM. Pobrano 2026-06-18 z https://scholargate.app/pl/compare