Table 4.
Person Crimes Ever |
Property Crimes Ever |
Society Crimes Ever |
||||
---|---|---|---|---|---|---|
Independent Variables | Dichotomous | Counts | Dichotomous | Counts | Dichotomous | Counts |
Maltreatment | −0.03 (0.31) | 0.19 (0.17) | 0.18 (0.29) | 0.33 (0.37) | 0.10 (0.32) | 0.23 (0.13)† |
OR = 0.97 | β = 0.07 | OR = 1.20 | β = 0.06 | OR= 1.10 | β = 0.12 | |
Male | 1.38 (0.26)*** | 0.75 (0.14)*** | 1.13 (0.24)*** | 1.62 (0.31)*** | 1.64 (0.28)*** | 0.55 (0.11)*** |
OR = 3.98 | β = 0.29 | OR = 3.10 | β = 0.29 | OR = 5.16 | β = 0.28 | |
Childhood SES | −0.13 (0.05)** | −0.05 (0.03)* | −0.03 (0.05) | −0.07 (0.06) | −0.09 (0.05)† | −0.02 (0.02) |
OR = 0.88 | β = −0.14 | OR = 0.97 | β = −0.09 | OR = 0.91 | β = −0.06 | |
Minority race | 0.57 (0.34)† | 0.19 (0.17) | 0.30 (0.31) | 0.21 (0.39) | 0.42 (0.33) | 0.31 (0.14)* |
OR = 1.76 | β = 0.06 | OR = 1.35 | β = 0.03 | OR = 1.52 | β = 0.13 | |
Married | −0.44 (0.27) | −0.31 (0.15)* | −0.49 (0.26)† | −0.70 (0.33)* | −0.34 (0.28) | −0.18 (0.11) |
OR = 0.65 | β = −0.12 | OR = 0.62 | β = 0.13 | OR = 0.71 | β = −0.09 | |
Education | −0.11 (0.33) | −0.04 (0.18) | 0.18 (0.31) | −0.00 (0.39) | −0.05 (0.33) | −0.13 (0.14) |
OR = 0.90 | β = −0.01 | OR = 1.20 | β = 0.00 | OR = 0.95 | β = −0.05 | |
Model fita | 51.85 (6)*** | 9.19 (6, 309)*** | 28.63 (6)*** | 6.74 (6, 309)*** | 50.32 (6)*** | 8.62 (6, 309)*** |
R 2b | .20 | .14 | .12 | .10 | .20 | .13 |
Note. Total sample size was reduced to 316 due to missing data. OR = odds ratio SES = socioeconomic status; OLS = ordinary least squares.
Model fit statistics for binary outcomes (logistic regressions) are χ2s (df), and those for continuous outcomes (OLS) are F(df).
R2s are adjusted for the number of predictors in the model; Nagelkerke R2s for binary outcomes in logistic regressions.
p < .10.
p < .05.
p < .01.
p < .001.