Table 4.
Results of hierarchical linear regression analysis on adolescent problem gambling (SOGS-RA)
| Predictors | B | SE | β | t | p value |
|---|---|---|---|---|---|
| Model 1 (R2adj = 0.03; p < 0.001) | |||||
| Gender | − .150 | .041 | − .182 | − 3.645 | .000 |
| Model 2 (R2adj = 0.27; p < 0.001) | |||||
| Gender | − .048 | .037 | − .059 | − 1.229 | .188 |
| GRCS-IB | .043 | .004 | .504 | 11.363 | .000 |
| Model 3 (R2adj = 0.31; p < 0.001) | |||||
| Gender | − .070 | .036 | − .085 | − 1.840 | .052 |
| GRCS-IB | .039 | .004 | .460 | 10.438 | .000 |
| RFQ-U | .146 | .031 | .204 | 4.771 | .000 |
| Model 4 (R2adj = 0.33; p < 0.001) | |||||
| Gender | − .047 | .036 | − .057 | − 1.198 | .185 |
| GRCS-IB | .028 | .005 | .328 | 6.181 | .000 |
| RFQ-U | .136 | .030 | .190 | 4.553 | .000 |
| GRCS-IS | .027 | .006 | .226 | 4.306 | .000 |
| Model 5 (R2adj = 0.34; p < 0.001) | |||||
| Gender | − .041 | .036 | − .049 | − 1.055 | .255 |
| GRCS-IB | .028 | .005 | .329 | 6.229 | .000 |
| RFQ-U | .102 | .034 | .142 | 3.110 | .003 |
| GRCS-IS | .025 | .006 | .211 | 4.003 | .000 |
| DERS-IMPULSE | .008 | .003 | .107 | 2.121 | .023 |
B, unstandardized coefficient; β, standardized regression coefficient. Gender: 0 = Male; 1 = Female
GRCS-IS, Inability to Stop; GRCS-IB, Interpretative Bias; RFQ-U, Uncertainty; DERS-IMPULSE, Impulse Control Difficulties