Table 3.
Negative Binomial Regressions With Three-Facet Structure.
| No Arrest History (n = 488) | History of Arrest (n = 106) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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| Criterion | Predictor | B | SE | p | IRR | Predictor | B | SE | p | IRR |
| Fighting | Age | 0.56 | 0.11 | .000 | 1.75 | Age | 0.43 | 0.15 | .004 | 1.54 |
| IPM | 0.08 | 0.10 | ns | 1.09 | IPM | −0.08 | 0.14 | ns | 0.93 | |
| CA | 0.25 | 0.09 | .007 | 1.28 | CA | 0.30 | 0.14 | .04 | 1.35 | |
| ELS | 0.22 | 0.09 | .02 | 1.24 | ELS | 0.09 | 0.19 | ns | 1.10 | |
| Assault | Age | 0.43 | 0.21 | .04 | 1.54 | Age | 0.15 | 0.19 | ns | 1.16 |
| IPM | 0.22 | 0.21 | ns | 1.24 | IPM | −0.31 | 0.27 | ns | 0.74 | |
| CA | 0.49 | 0.17 | .004 | 1.63 | CA | 0.63 | 0.24 | .01 | 1.87 | |
| ELS | 0.31 | 0.26 | ns | 1.36 | ELS | 1.15 | 0.40 | .003 | 3.17 | |
| Assault with a weapon | Age | 0.50 | 0.45 | ns | 1.64 | Age | 0.11 | 0.10 | ns | 1.12 |
| IPM | 1.28 | 0.81 | ns | 3.58 | IPM | −0.20 | 0.19 | ns | 0.82 | |
| CA | 2.03 | 0.44 | .000 | 7.58 | CA | 1.12 | 0.31 | .000 | 3.05 | |
| ELS | 0.61 | 0.56 | ns | 1.83 | ELS | 0.07 | 0.41 | ns | 1.07 | |
| Injury | Age | 1.51 | 0.29 | .000 | 4.53 | Age | 0.48 | 0.26 | ns | 1.61 |
| IPM | 0.12 | 0.34 | ns | 1.13 | IPM | −0.08 | 0.26 | ns | 0.92 | |
| CA | 1.21 | 0.29 | .000 | 3.34 | CA | 0.84 | 0.28 | .003 | 2.31 | |
| ELS | 0.29 | 0.46 | ns | 1.33 | ELS | −0.26 | 0.35 | ns | 0.76 | |
Note. B = regression coefficient; IRR = incident rate ratio; IPM = interpersonal manipulation; CA = callous affect; ELS = erratic lifestyle. Bolded numbers refer to effect sizes that are significant at p < .05.