Profile Analysis and Risk Assessment: Identifying Distinct Patterns of Risks and Needs

The goal of this study was to identify distinct and meaningful profiles of the seven criminogenic risk and need domains included on the Ohio Youth Assessment System—Disposition Tool (OYAS-DIS). This goal was accomplished by conducting a latent profile analysis (LPA) on a sample of 4,383 formally processed justice-involved youth assessed by the OYAS-DIS. The LPA determined there were six distinct profiles: (1) Low risk and need, (2) Low/moderate risk and need, (3) Low risk/need with high juvenile justice history, (4) Academic, mental health, and substance use needs, (5) Prosocial skills and decision making, and (6) High risk and need. Results may help juvenile justice practitioners to identify and address specific intervention needs of adjudicated youth.

Understanding the Role of Neighborhood Typology and Sociodemographic Characteristics on Time to Recidivism Among Adjudicated Youth

This study examined the effect of neighborhood disadvantage and criminogenic risk on juvenile recidivism. The sample included 893 youths involved in the delinquency/formal probation division of one Midwestern county juvenile court between 2004 and 2010. Juveniles were classified into one of three neighborhood typologies (i.e., Distressed/Disadvantage, Resilient/Mixed, Benchmark/Advantaged) based on the socioeconomic conditions in their neighborhoods. Survival models revealed that when examining the effect of neighborhood type, youth who lived in Resilient/Mixed neighborhoods, characterized by having the most transient residents, yet high graduation rates, were at greatest risk of recidivism. However, neighborhood effects disappeared after controlling for sociodemographic characteristics and criminogenic risk. Although there was no significant interaction between neighborhood and risk group classification, there was a significant interaction between risk group, age, and gender. These findings suggest the need for advanced statistical models that can disentangle the conflated effects of socioeconomic conditions and sociodemographic characteristics.