Table 4.
Standardized Regression Models for Rule Breaking
Model Predicting Rule Breaking at Time 2
| ||||
---|---|---|---|---|
Coefficient | SE | t value | sr2 | |
Intercept | 1.170*** | 0.04 | 32.82 | |
Age | 0.064 | 0.04 | 1.67 | 0.019 |
Gender | −0.103** | 0.04 | −2.62 | 0.063 |
IQ Index Score | −0.005 | 0.04 | −0.13 | 0.002 |
Puberty | 0.115** | 0.04 | 2.87 | 0.038 |
Rule Breaking at Time 1 | 0.512*** | 0.04 | 13.33 | 0.288 |
SSRT | 0.015 | 0.04 | 0.42 | 0.001 |
AVM | 0.018 | 0.04 | 0.50 | 0.001 |
APM | 0.036 | 0.04 | 0.98 | 0.003 |
SSRT × AVM | 0.050 | 0.04 | 1.39 | 0.003 |
SSRT × APM | 0.054† | 0.03 | 1.79 | 0.005 |
Notes: sr2 = squared semipartial correlation;
p <.05,
p <.01,
p <.001,
p< .10;
SSRT = stop signal reaction time, AVM = avoidance motivation, APM = approach motivation.