Table 10.
Sensitivity analysis for BCFA model
| PPp | 95%CI | DIC | BIC | |
|---|---|---|---|---|
| BCFA.16 | .48 | −33.97 – 30.41 | 10,691.81 | 11,097.87 |
| BCFA.20 | .44 | −31.92 – 31.85 | 10,692.58 | 11,080.97 |
| BCFA.30 | .35 | −27.21 – 37.16 | 10,698.13 | 11,084.92 |
| BCFA.50 | .11 | −15.98 – 53.89 | 10,714.10 | 11,095.94 |
| BCFA.70 | .02 | 1.79–78.29 | 10,734.80 | 11,113.45 |
| BCFA.100 | .00 | 35.49–121.73 | 10,773.80 | 11,161.96 |
BCFA Bayesian Confirmatory Factor Analysis. The number following the BCFA. Indicates the df of the Inverse Wishart distribution applied as a prior. 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.