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تحليل العوامل التأكيدي البايزي (BCFA)×نظرية التعميم (G-Theory)×
المجالالقياس النفسيالقياس النفسي
العائلةLatent structureLatent structure
سنة النشأة2007–20121963–1972
صاحب الطريقةSik-Yum Lee; Bengt Muthén and Tihomir AsparouhovLee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam
النوعBayesian latent variable modelVariance-components reliability model
المصدر التأسيسيLee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. ISBN: 978-0470024232Cronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley. link ↗
الأسماء البديلةBCFA, Bayesian CFA, Bayesian structural equation measurement model, Bayes-CFAG-theory, G-study / D-study framework, variance components reliability
ذات صلة44
الملخصBayesian confirmatory factor analysis tests a pre-specified factor structure using Bayesian inference. Instead of point estimates with p-values, it produces full posterior distributions for loadings, factor correlations, and residual variances, allowing the researcher to incorporate prior knowledge and propagate parameter uncertainty naturally.Generalizability 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.
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ScholarGateقارن الطرق: Bayesian Confirmatory Factor Analysis · Generalizability Theory. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare