Table 5.
Logistic regression models for the associations between attractiveness and the odds of probation and incarceration.
| Odds of probation (N = 1036) |
Odds of incarceration (N = 1037) |
|||
|---|---|---|---|---|
| Coeff | OR | Coeff | OR | |
| Predictor variables | ||||
| Attractiveness | −.087 | 0.917 | −.164 | 0.849 |
| (.128) | (.117) | |||
| Controls | ||||
| Age | −.028 | 0.972 | .043 | 1.043 |
| (.039) | (.042) | |||
| Sex | .493 | 1.638* | .382 | 1.465* |
| (.242) | (.216) | |||
| Race | .054 | 1.055 | .301 | 1.352* |
| (.155) | (.199) | |||
| SES | −.163 | 0.849 | .569 | 1.766* |
| (.181) | (.417) | |||
Note. OR = odds ratio; coeff = coefficient; SES = socioeconomic status.
Standard errors in parentheses.
*p < .05.