Latent structureScale / measurement
Bayesian Confirmatory Factor Analysis (BCFA)
Bayesian 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.
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Sources
- Lee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. ISBN: 978-0470024232
- 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 ↗
Related methods
Referenced by
Bayesian Construct ValidityBayesian Convergent ValidityBayesian Cronbach's alphaBayesian Discriminant AnalysisBayesian Discriminant ValidityBayesian EFABayesian Item AnalysisBayesian Latent Class AnalysisBayesian McDonald's omegaBayesian Measurement InvarianceBayesian Multidimensional ScalingBayesian Scale Development