Table 3.
Binary logistic regression—criterion: sex for money (n = 186)
| B | Wald | OR | p value | |
|---|---|---|---|---|
| Demographic | ||||
| Age | −.083 | 1.36 | .920 | .242 |
| Gendera | −.617 | 1.49 | .539 | .221 |
| Mother currently live in home | −.966 | 4.10 | .381 | .043 |
| Father currently live in home | −.800 | 2.83 | .449 | .092 |
| Individual factors | ||||
| Have tried alcohol | 1.63 | 6.66 | 5.14 | .010 |
| Have tried marijuana | .403 | .532 | 1.49 | .466 |
| Family factors | ||||
| Father has drug problem | −2.27 | 12.49 | .103 | .000 |
| Father has alcohol problem | 2.33 | 10.28 | 10.28 | .001 |
| Father currently incarcerated | .155 | .091 | 1.16 | .764 |
| Mother has drug problem | −1.22 | 3.88 | .292 | .049 |
| Mother has alcohol problem | −.508 | .520 | .603 | .471 |
| Mother currently incarcerated | 2.32 | 4.68 | 10.21 | .031 |
| Chi-square (df) | 58.37 (12) | |||
| −2 Log likelihood | 162.058 | |||
| Nagelkerke pseudo R 2 | .388 | |||
| Overall percentage correctly classified | 83.3 | |||
aFemale reference group