Latent structureScale / measurement

Bayesian Discriminant Validity Assessment

Bayesian 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.

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Sources

  1. Garnier-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: 10.1037/met0000224
  2. Campbell, D. T. & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI: 10.1037/h0046016

Related methods

ScholarGateBayesian Discriminant Validity (Bayesian Discriminant Validity Assessment). Retrieved 2026-06-04 from https://scholargate.app/en/psychometrics/bayesian-discriminant-validity