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Teoria da Generalizabilidade (G-Theory)×Análise de Confiabilidade Multinível×
ÁreaPsicometriaPsicometria
FamíliaLatent structureLatent structure
Ano de origem1963–19722014
Autor originalLee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari RajaratnamGeldhof, Preacher & Zyphur
TipoVariance-components reliability modelReliability estimation / psychometric modeling
Fonte seminalCronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley. link ↗Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. DOI ↗
Outros nomesG-theory, G-study / D-study framework, variance components reliabilitymultilevel omega, within-group reliability, between-group reliability, hierarchical reliability
Relacionados43
ResumoGeneralizability Theory is a psychometric framework that decomposes observed score variance into multiple sources — persons, items, raters, occasions, and their interactions — using analysis of variance. It replaces the single reliability coefficient of classical test theory with a family of coefficients that tell researchers how well scores generalize across different measurement conditions.Multilevel reliability analysis estimates the internal consistency of scale scores separately at the within-group (individual) and between-group (cluster) levels. It corrects the bias that arises when ordinary alpha or omega is applied to hierarchically nested data, such as employees within organizations or students within classrooms.
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ScholarGateComparar métodos: Generalizability Theory · Multilevel Reliability Analysis. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare