ScholarGate
Assistente

Comparar métodos

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

Análise de Itens Politômicos×Modelo de Resposta Graduada (GRM)×
ÁreaPsicometriaPsicometria
FamíliaLatent structureLatent structure
Ano de origem1969–19821969
Autor originalFumiko Samejima (graded response model, 1969); David Andrich (rating scale model, 1978); Geoffrey Masters (partial credit model, 1982)Fumiko Samejima
TipoItem-level psychometric analysisItem response theory / polytomous IRT model
Fonte seminalSamejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. DOI ↗Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17. link ↗
Outros nomesordered-category item analysis, graded response analysis, polytomous IRT, rated-scale item analysisSamejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model
Relacionados47
ResumoPolytomous item analysis examines the psychometric behavior of items that have more than two ordered response categories — such as Likert-type scales or partial-credit tasks. It evaluates each item's difficulty thresholds, discriminating power, and category functioning to determine whether the full response scale is being used as intended and whether each item contributes reliably to measuring the underlying construct.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.
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 item analysis · GRM. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare