Logistic Regression Models Predicting Violent Disciplinary Misconduct
Predictor Variables | Potential Violence | Assaultive Infractions | Injurious Assaults | ||||||
---|---|---|---|---|---|---|---|---|---|
b | s.e | Exp(b) | b | s.e | Exp(b) | b | s.e | Exp(b) | |
Age on 9/1/2007 | −.061 | (.011) | .941*** | −.064 | (.020) | .938*** | −.075 | (.040) | .928* |
Educational attainment | −.035 | (.017) | .965* | −.041 | (.028) | .960† | −.002 | (.056) | .998 |
Prior prison incarceration | .410 | (.161) | 1.506** | .874 | (.261) | 2.333*** | 1.050 | (.490) | 2.859* |
Gang affiliation | .487 | (.154) | 1.627*** | .641 | (.243) | 1.898** | .646 | (.457) | 1.908† |
Time served control | −.011 | (.015) | .989 | −.023 | (.028) | .978 | .029 | (.052) | 1.030 |
Constant | .569 | (.354) | 1.766 | −.760 | (.611) | .468 | −2.572 | (1.234) | .076* |
Nagelkerke r2 | .078*** | .076*** | .045* | ||||||
Model AUC | .668*** (CI = .636 − .700) | .699*** (CI = .647 – .750) | .706*** (CI = .605 – .807) |