Table 5.
Binary logistic regression for the probability of scoring high scores on internalizing and externalizing problems and prosocial behavior as a function of OOP.
| Variable | χ2 | R 2 | B | SE | Wald | p | OR | CI 95% | |
|---|---|---|---|---|---|---|---|---|---|
| Internalizing problems | Correctly classified: 59.6% | 31.04 | 0.11 | 0.11 | 0.02 | 22.31 | < 0.001 | 1.11 | 1.06–1.16 |
| Constant | −0.47 | 0.12 | 14.28 | 0.000 | 0.62 | < 0.001 | |||
| Externalizing problems | Correctly classified: 58.5% | 19.44 | 0.06 | 0.07 | 0.02 | 14.92 | < 0.001 | 1.08 | 1.04–1.12 |
| Constant | −0.14 | 0.12 | 1.53 | 0.215 | 0.86 | ||||
| Prosocial behavior | Correctly classified: 77.5% | 5.60 | 0.02 | −0.03 | 0.02 | 5.88 | 0.015 | 0.96 | 0.93–0.99 |
| Constant | 1.37 | 0.12 | 128.68 | < 0.001 | 3.97 | ||||
χ2, chi-squared; R2, Nagelkerke squared; B, regression coefficient; SE, standard error; Wald, Wald test; p, probability; OR, odds ratio; CI, confidence interval at 95%.