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Баjесовска оцена конструктивне валідности×Konstruktna validnost×
OblastPsihometrijaPsihometrija
PorodicaLatent structureLatent structure
Godina nastanka1955 / 20121955
TvoracCronbach & Meehl (validity framework); Muthén & Asparouhov (Bayesian SEM extension)Lee J. Cronbach & Paul E. Meehl
TipValidity assessment / Bayesian inferenceValidity evaluation framework
Temeljni izvorMuthén, B. & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313–335. DOI ↗Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗
Drugi naziviBayesian validity analysis, Bayesian CFA-based validity, Bayesian structural validity, posterior construct validityconstruct validation, factorial validity, nomological validity evidence, validity of interpretation
Srodne66
SažetakBayesian construct validity assessment uses Bayesian confirmatory factor analysis and related Bayesian structural equation models to evaluate whether a scale or test measures the intended latent construct. It yields full posterior distributions for factor loadings, structural coefficients, and model-fit indices rather than single point estimates, enabling more nuanced and uncertainty-aware validity conclusions.Construct validity is the degree to which a test or scale actually measures the theoretical construct it is intended to measure. Introduced by Cronbach and Meehl in 1955, it is the central validity concern in psychological and educational measurement, evaluated by accumulating multiple lines of empirical and logical evidence rather than by any single statistical test.
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ScholarGateUporedite metode: Bayesian Construct Validity · Construct Validity. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare