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Table 7 Model fit for Bayesian Confirmatory Factor Analyses

From: Global mental health: an improved measure of well-being in multiple languages

 

PPp

95%CI

DIC

BIC

BCFA 1

.001

94.26–152.42

10,786.76

10,906.43

BCFA 2

.001

28.34–94.94

10,726.86

10,898.73

BCFA 3

.48

−34.46 –30.31

10,690.81

11,079.87

  1. Note. BCFA1 Bayesian Confirmatory Factor model with cross-loadings and residual covariances fixed to zero; BCFA 2 Bayesian Confirmatory Factor model with informative priors for cross-loadings and residual covariances fixed to zero; BCFA 3 Bayesian Confirmatory Factor model with informative priors for cross-loadings and residual covariances fixed; PPp Prior-posterior checking p-value (values close to .50 and 95% Credible Interval containing zero indicate good fit). * 95% Credible Interval of posterior density does not include zero. DIC Deviance Information Criterion. BIC Bayesian Information Criterion
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