Predicting risk for early police arrest
A model designed to predict early arrest is presented. Family process variables were hypothesized to be indirectly related; a childhood measure of an antisocial trait was assumed to be directly related to risk for early onset. Longitudinal data were collected for two cohorts of families living in hi...
Main Author: | |
---|---|
Contributors: | ; |
Format: | Electronic Article |
Language: | English |
Published: |
1992
|
In: |
Journal of quantitative criminology
Year: 1992, Volume: 8, Issue: 4, Pages: 335-355 |
Online Access: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
Journals Online & Print: | |
Check availability: | HBZ Gateway |
Keywords: |
Summary: | A model designed to predict early arrest is presented. Family process variables were hypothesized to be indirectly related; a childhood measure of an antisocial trait was assumed to be directly related to risk for early onset. Longitudinal data were collected for two cohorts of families living in high-crime areas of a mediumsized metropolitan area. Multiagent/multimethod definitions for both the family process and the antisocial trait concepts defined the latent constructs. Official records of police contacts were collected during the ensuing 5 years. The data for the hazard rates showed that risk for police arrest varied significantly as a function of the child's age. A continuous time regression analysis showed that most of the individual family process constructs and the antisocial trait construct were significantly related to an altered risk for police contacts. A multiple regression analysis showed a similar effect in predicting age at onset. In keeping with the hypotheses in both analyses, when all variables were entered simultaneously the contributions of the family process constructs were nonsignificant; only the contributions for the trait score and social disadvantage remained significant. The more antisocial the child, the greater the risk for early arrest. |
---|---|
ISSN: | 1573-7799 |
DOI: | 10.1007/BF01093639 |