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Análise Bayesiana de Itens×Desenvolvimento de Escalas×
ÁreaPsicometriaPsicometria
FamíliaLatent structureLatent structure
Ano de origem1990s–2000s1991–1995
Autor originalOriginated in Bayesian psychometrics literature, developed extensively by Jean-Paul Fox and colleaguesMultiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson
TipoBayesian inference / item-level diagnosticsMulti-step methodological framework
Fonte seminalFox, J.-P. (2010). Bayesian Item Response Modeling: Theory and Applications. Springer. DOI ↗DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569
Outros nomesBIA, Bayesian classical item analysis, Bayesian item statistics, Bayesian item-level diagnosticsquestionnaire construction, instrument development, measurement scale construction, psychometric scale building
Relacionados45
ResumoBayesian item analysis applies Bayesian inference to estimate item-level statistics — difficulty, discrimination, and distractor effectiveness — by combining observed response data with prior knowledge. It produces full posterior distributions over item parameters rather than single point estimates, providing richer uncertainty information especially with small samples.Scale development is a structured, multi-step process for creating psychometrically sound measurement instruments that capture latent psychological constructs. It encompasses construct definition, item generation, expert review, exploratory and confirmatory factor analysis, reliability estimation, and validity evidence collection — producing a final set of items suitable for quantitative research.
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ScholarGateComparar métodos: Bayesian Item Analysis · Scale development. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare