Table 2.
Estimates from hierarchical logistic regression on burglary victimization using complete-cases only
| est. | SE | z value | p-value | |
|---|---|---|---|---|
| Individual effects | ||||
|
| ||||
| Intercept | −2.4830 | 0.279 | −8.889 | 0.00 |
| age | −0.0317 | 0.028 | −1.125 | 0.261 |
| gender | −0.0507 | 0.082 | −0.623 | 0.533 |
| race | −0.2446 | 0.127 | −1.931 | 0.053 |
| home unoccupied | 0.0429 | 0.021 | 2.004 | 0.045 |
| family income | 0.1032 | 0.033 | 3.137 | 0.002 |
| expensive goods | 0.1194 | 0.033 | 3.626 | 0.001 |
| safety precautions | −0.0793 | 0.029 | −2.688 | 0.007 |
| live alone | 0.1783 | 0.103 | 1.733 | 0.083 |
|
| ||||
| Contextual effects | ||||
|
| ||||
| busy places | −0.0433 | 0.039 | −1.120 | 0.263 |
| ethnic heterogeneity | 0.3495 | 0.647 | 0.540 | 0.589 |
| incivilities | 0.4991 | 0.079 | 6.337 | 0.000 |