Latent structureScale / measurement

Bayesian Construct Validity Assessment

Bayesian 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.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Muthén, B. & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313–335. DOI: 10.1037/a0026802
  2. Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI: 10.1037/h0040957

Related methods

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