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Table 10 Sensitivity analysis for BCFA model

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

 

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

  1. 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.
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Health and Quality of Life Outcomes

ISSN: 1477-7525

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