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Coefficient de fiabilité Oméga (ω) de McDonald×Modèle de Rasch×
DomainePsychométriePsychométrie
FamilleLatent structureLatent structure
Année d'origine19991960
Auteur d'origineRoderick P. McDonaldGeorg Rasch
TypeReliability coefficient / latent variable modelItem Response Theory / Latent trait model
Source fondatriceMcDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830750Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗
Aliasomega reliability, ω coefficient, omega total, omega hierarchical1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
Apparentées66
RésuméMcDonald's omega is a factor-analysis-based reliability coefficient introduced by Roderick P. McDonald (1999) that quantifies the internal consistency of a composite score without requiring the restrictive assumption that all items contribute equally to the latent factor. It yields two complementary indices: ω_total, which captures overall reliability of the sum score, and ω_hierarchical (ωh), which reports how much of the composite's variance is explained specifically by a single general factor.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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  1. v1
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ScholarGateComparer des méthodes: McDonald's Omega · Rasch Model. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare