Table 2.
Negative binomial and logistic regression models for employment and education life failures.
| Variables | Number of Jobsa
|
Number of Times Fireda
|
Working 10+ hrs/weekb
|
Repeated a Gradeb
|
High School Dropoutb
|
|||||
|---|---|---|---|---|---|---|---|---|---|---|
| Model 1
|
Model 2
|
Model 3
|
Model 4
|
Model 5
|
||||||
| b | (SE) | B | (SE) | B | (SE) | b | (SE) | b | (SE) | |
| Arrest | .138** | (.019) | .491** | (.050) | −.322* | (.098) | .290** | (.078) | .895** | (.147) |
| Low self-control (W1) | .004* | (.001) | .008* | (.003) | −,.022** | (.006) | .016* | (.005) | .034** | (.008) |
| IQ (W1) | .004** | (.001) | −.006* | (.002) | .011** | (.003) | −.053** | (.004) | −.064** | (.004) |
| Drug use (W1) | .007 | (.008) | .009 | (.018) | −.010 | (.032) | .040 | (.033) | .159** | (.042) |
| Delinquency (W1) | .003 | (.002) | .006 | (.004) | .008 | (.009) | .009 | (.008) | .009 | (.009) |
| Criminal Behavior | .027** | (.006) | .063** | (.010) | −.011 | (.022) | −.012 | (.028) | −.012 | (.035) |
| Conc. Disadvantage | .004 | (.011) | .108** | (.025) | −.164** | (.039) | .148* | (.047) | .350** | (.072) |
| Age | −.049** | (.005) | −.026 | (.012) | .006 | (.022) | .274** | (.027) | −.158** | (.039) |
| Male | .051** | (.015) | .382** | (.046) | .776** | (.084) | .594** | (.072) | .421** | (.103) |
| White | .00004 | (.029) | .058 | (.069) | −.166 | (.114) | .286 | (.155) | .321 | (.163) |
| Black | .089* | (.034) | .304** | (.077) | −.067 | (.134) | .440* | (.158) | −.346 | (.172) |
Note. All estimates corrected and standard errors adjusted for survey design features of the Add Health (N = 12,589); b = Unstandardized regression coefficient; SE = standard error.
a
Negative binomial regression model.
b
Logistic regression model.
*
p < .01,
**
p < .001 (two-tailed test).