11 research outputs found

    Does the Effect of Self-Regulation on Adolescent Recidivism Vary by Youths’ Attitudes?

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    Youth with poor self-regulation or criminal attitudes are at risk for recidivism. Researchers have yet to examine how self-regulation and criminal attitudes intermix to influence recidivism. The present study employed a large sample of 26,947 youth in the Florida Juvenile Justice System to examine the effect of criminal attitudes on the association between self-regulation and recidivism over a 1-year period. The results indicated that the influence of self-regulation on recidivism varied based on youths’ attitudes. Although self-regulation affected recidivism among youth with average (dy/dx = –.03, SE = .01, p < .001) and less criminal (dy/dx = –.05, SE = .01, p < .001) attitudes, self-regulation was not associated with recidivism among youth with more criminal attitudes (dy/dx = –.01, SE = .01, p = .150). These findings demonstrate mechanisms that may promote sustained justice system involvement and identify key levers for reducing youth recidivism.No Full Tex

    Why They Did It? Sex Differences in the Impact of Mental Health and Substance Use on Motivations for Offending

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    This study examined how mental health issues and substance use relate to motivations for offending among a large sample of adjudicated youth who completed a community-based placement in a large southeastern state (n = 18,749). The extent to which these relationships differed by sex was also considered. Multinomial logistic regression models revealed that although both mental health issues and substance use were related to a variety of reasons for offending, these relationships differed and did not appear to influence one another. In addition, findings revealed that mental health issues and substance use have differential effects on reasons for offending across sex. Treatment implications are highlighted along with suggestions for future research.Full Tex

    Risk Assessment Trajectories of Youth During Juvenile Justice Residential Placement

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    Although the Risk–Needs–Responsivity framework has become the dominant paradigm in criminal and juvenile justice, little empirical attention has been given to the reassessment component of the model. Here, we examine dynamic risk and promotive factor trajectories of 6,442 residential commitment placements to assess differences in progression with respect to risk reduction and promotive enhancement through a buffer score rubric (buffer = promotive − risk). Results indicate that youth progress along different buffer trajectories throughout residential placement. Multinomial models also demonstrate that dynamic, changeable factors are more essential in distinguishing trajectory group membership than demographic or criminal history indicators. Finally, there were significant differences in recidivism rates across trajectories postcompletion, suggesting that improvement in (the rate of change in) buffer scores may account for some of the variation in offending behavior postrelease. Programmatic and policy implications are discussed

    The Effects of Changes in Dynamic Risk on Reoffending among Serious Juvenile Offenders Returning from Residential Placement

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    This study examines whether changes in dynamic risk during juvenile justice long-term residential placement affect recidivism. Advancing the work of prior dynamic risk change analyses, we examine a large sample of 11,891 male and 1930 female juvenile offenders while taking methodological steps to ensure successful and non-successful youth (in terms of recidivism) are (statistically) identical at admission. Specifically, we employ propensity score matching on residential placement youth who recidivate post-release and non-recidivists on static risk factors and initial dynamic risk scores assessed at admission to residential placement. Post-matching, changes in dynamic risk factors from initial assessment at admission to exit assessment at release are examined with a focus on whether those changes distinguish recidivists from non-recidivists. Separate analyses are conducted for male and female juveniles. Results indicate that changes in dynamic risk do affect recidivism likelihood, but that different factors matter for males and females. These sex-specific models allow for distinct policy recommendations.No Full Tex
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