This study examined the relationship between known risk factors for youthful offenders and rates of recidivism using Poisson regression models. The sample consisted of 564 male and female juvenile offenders referred to the Juvenile Court Assessment Center (JCAC) by the Juvenile Justice Division of the Eleventh Judicial Circuit of Miami-Dade County. First, data from a clinical interview and the administration of the Wide Range Achievement Test were factor analyzed. Six factors were found to be statistically significant based on a parallel analyses. Neighborhood factors explained the largest amount of variance followed by peer influence, family functioning, gang involvement, substance use, and academic achievement. These six domains were analyzed in separate Poisson regression models. Family-wise error rate was controlled with Bonferroni adjustments. Each model predicting number of arrests from academic performance, substance use, peer influence, gang involvement, and neighborhood factors were statistically significant. The final model including all variables across the six domains indicated good fit, χ2(14) = 201.260, p < .001. Implications stemming from these findings are discussed.

中文翻译：

---

慢性少年犯

这项研究使用Poisson回归模型研究了已知的青少年犯罪风险因素与累犯率之间的关系。样本由迈阿密戴德县第十一司法巡回法院少年司法处转介到少年法院评估中心（JCAC）的564名男女少年犯组成。首先，分析了来自临床访谈和广泛成就测试管理的数据。根据平行分析，发现六个因素在统计学上具有重要意义。邻里因素解释了最大的差异，其次是同伴影响力，家庭功能，帮派参与，物质使用和学业成就。在单独的泊松回归模型中分析了这六个域。通过Bonferroni调整控制家庭错误率。从学习成绩，物质使用，同伴影响，帮派参与和邻里因素来预测逮捕人数的每个模型均具有统计学意义。最终模型包括六个域中的所有变量，表明拟合良好，χ2（14）= 201.260，p <.001。讨论了来自这些发现的含义。