Table 2. Binary Logistic Regression Predicting Risk-taking at 16 Years of Age.
Model | Variables | B | SE | Exp(B) | Sig. |
Nagelkerke
R 2 |
ΔR 2 |
---|---|---|---|---|---|---|---|
1 | .10 | .10* | |||||
Sex | 1.20 | 0.46 | 3.30 | .009* | |||
Cocaine | 0.30 | 0.44 | 1.50 | .506 | |||
2 | .16 | .06* | |||||
Sex | 1.26 | .49 | 3.51 | .010* | |||
Cocaine | −.053 | .52 | 0.95 | .918 | |||
Sex X cocaine | −2.20 | 1.03 | 0.11 | .032* | |||
3 | .24 | .08* | |||||
Sex | 1.32 | 0.52 | 3.75 | .010* | |||
Cocaine | −1.09 | 0.80 | 0.34 | .173 | |||
Sex X cocaine | −2.67 | 1.15 | 0.07 | .020* | |||
Env. risk | −0.01 | 0.16 | 0.99 | .948 | |||
Alcohol | 0.66 | 0.34 | 1.94 | .053t |
Note. Env. Risk, Early Environmental Risk
p <.05
p <.10