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Bayes-féle diszkrimináns validitás értékelés×Konvergens validitás×
TudományterületPszichometriaPszichometria
MódszercsaládLatent structureLatent structure
Keletkezés éve2020 (Bayesian HTMT formalization); 1959 (discriminant validity concept)1959
MegalkotóAdaptation of Campbell & Fiske (1959) discriminant validity into Bayesian CFA framework; Bayesian HTMT formalization by Garnier-Villarreal & Jorgensen (2020)Donald T. Campbell & Donald W. Fiske
TípusValidity assessmentValidity evidence / construct validation
AlapműGarnier-Villarreal, M. & Jorgensen, T. D. (2020). Adapting fit indices for Bayesian structural equation modeling: Comparison to maximum likelihood. Psychological Methods, 25(1), 46–70. DOI ↗Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗
Alternatív nevekBayesian HTMT, Bayesian HTMTb, Bayesian discriminant evidence, Bayesian CFA discriminant validityconvergent construct validity, convergence validity, AVE-based convergent validity
Kapcsolódó64
ÖsszefoglalóBayesian discriminant validity assessment evaluates whether two theoretically distinct latent constructs are empirically separable, using posterior distributions and credible intervals rather than single-point null-hypothesis tests. It is applied within Bayesian confirmatory factor analysis or via the Bayesian heterotrait-monotrait ratio (HTMTb) to determine whether constructs measuring different traits are sufficiently differentiated.Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation.
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ScholarGateMódszerek összehasonlítása: Bayesian Discriminant Validity · Convergent Validity. Letöltve 2026-06-17, forrás: https://scholargate.app/hu/compare