ScholarGate
Assistente

Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Modelo Polítomo de Rasch×Teoria de Resposta ao Item Ordinal×
ÁreaPsicometriaPsicometria
FamíliaLatent structureLatent structure
Ano de origem1978–19821969
Autor originalGerhard N. Masters (Partial Credit Model); David Andrich (Rating Scale Model)Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial credit
TipoItem response modelProbabilistic latent trait model for ordered polytomous responses
Fonte seminalMasters, 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, 34(4, Pt. 2), 1–97. link ↗
Outros nomesPRM, Rating Scale Model, Partial Credit Model, Polytomous IRT Raschpolytomous IRT, ordinal IRT models, graded response models, ordinal latent trait models
Relacionados66
ResumoThe Polytomous Rasch Model extends the dichotomous Rasch framework to ordered response scales with three or more categories, such as Likert items or partial-credit tasks. It estimates person ability and item difficulty on the same interval-level logit scale, and it tests whether the response categories function as intended — prerequisites for rigorous ordinal measurement.Ordinal 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.
ScholarGateConjunto de dados
  1. v1
  2. 2 Fontes
  3. PUBLISHED
  1. v1
  2. 2 Fontes
  3. PUBLISHED

Ir para a pesquisa Baixar slides

ScholarGateComparar métodos: Polytomous Rasch Model · Ordinal IRT. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare