Skip to main content
. 2020 Feb 28;8:7. doi: 10.1186/s40345-019-0168-6

Table 4.

Logistic regression predicting likelihood of an inactive occupational status (executive functioning and IQ as predictors)

p-value OR 95% CI
Executive functions < 0.001 0.53 0.38–0.76
WAIS-III–IQ 0.183 1.04 0.98–1.10
Constant 0.090 0.01

Occupational status as a dichotomized dependent variable (inactive = 1; active = 0). Executive functions (composite measure) and Full Scale IQ (measured with WAIS-III) as covariates. A test of the full model with the two predictors against the constant-only model was significant (omnibus Chi-square = 21.05, df = 2, p < 0.001.), Cox and Snells R2 = 0.20. Nagelkerke’s R2 = 0.29. The model correctly classified 81.1% of patients (95.7% of the active patients and 42.3% of the inactive patients were correctly classified, n = 95