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Many-Facet Rasch Measurement×Modelo de Rasch×
ÁreaEducationPsicometria
FamíliaLatent structureLatent structure
Ano de origem19891960
Autor originalJohn Michael LinacreGeorg Rasch
TipoRasch model extension adding rater and other facets to person and itemItem Response Theory / Latent trait model
Fonte seminalLinacre, J. M. (1989). Many-Facet Rasch Measurement. MESA Press. ISBN: 9780941938020Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗
Outros nomesMFRM, Many-Faceted Rasch Model, Facets Model, Linacre Facets Model1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
Relacionados46
ResumoMany-facet Rasch measurement (MFRM) extends the basic Rasch model to assessments mediated by raters. Beyond examinee ability and item difficulty, it adds explicit parameters for rater severity and for any other facet of the rating situation — task, occasion, rating criterion — placing them all on one common logit scale. Developed by John Michael Linacre, MFRM lets analysts estimate and adjust for the fact that some raters are systematically harsh and others lenient, producing 'fair' ability estimates that do not penalize an examinee for happening to draw a severe judge.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.
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ScholarGateComparar métodos: Many-Facet Rasch Measurement · Rasch Model. Recuperado em 2026-06-25 de https://scholargate.app/pt/compare