Table 4.
Logistic regression analyses predicting domestic violence
| Conviction | Self-report | |||||
|---|---|---|---|---|---|---|
| b | SE | OR | b | SE | OR | |
| Demographics | ||||||
| Age | .024 | .022 | 1.025 | .030 | .022 | 1.030 |
| Male | − .837 | 1.094 | .433 | − .478 | .788 | .620 |
| White | .017 | .704 | 1.017 | .574 | .639 | 1.775 |
| Been abused | − .457 | .600 | .633 | − 3.533*** | .673 | .029 |
| Media violence | ||||||
| Video game violence | .001 | .009 | 1.001 | − .008 | .009 | .992 |
| Movie violence | − .005 | .012 | .995 | .000 | .011 | 1.000 |
| Television violence | .011 | .011 | 1.011 | .009 | .010 | 1.009 |
| Endorsement of DV | .033* | .014 | 1.033 | .004 | .015 | 1.004 |
| Nagelkerke’s R2 | .142 | .548 | ||||
Unstandardized coefficients are presented, OR = odds ratio. DV = “Domestic Violence”
*p < .05, ** p < .01, ***p < .001