Abstract
This article reports on the results of an analysis of a data set containing information on 667 nonmallreated and 908 maltreated children. The data also contain information on whether the study subjects were arrested in early adulthood. Because adult arrests are an imperfect and censored measure of antisocial behavior, tobit regression analysis was used to examine the effect of the subjects' experiences of child maltreatment on later arrests while controlling for those subjects' demographic characteristics. The analysis finds that children's age, race, and sex and experiences of child neglect all have an impact on subsequent adult arrests. However, physical abuse and sexual abuse do not emerge as statistically significant predictors of arrests in this model. The study also illustrates a method for the decomposition of tobit coefficients to extract more information from them.
| Original language | English |
|---|---|
| Pages (from-to) | 129-137 |
| Number of pages | 9 |
| Journal | Child Maltreatment |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| State | Published - May 2003 |
Keywords
- Adult criminality predictors
- Child maltreatment
- Tobit regression analysis
ASJC Scopus subject areas
- Pediatrics, Perinatology, and Child Health
- Developmental and Educational Psychology
