Bayesian SEM (BSEM) Application and Example
Sounds good, right? Bayesian priors allow cross-loadings and residual covariances of SEM’s to vary a small degree (i.e., replace exact zeros with approximate zeros from informative, small-variance priors) and be evaluated (see Asparouhov, Muthén, & Morin, 2015; Muthén, & Asparouhov 2012). The researcher can thereby discover whether 0 cross-loadings likely exist in...
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