The Recidivism of Violent Youths in Juvenile and Adult Court

Myers, David L.

doi:10.1177/1541204002238365

Cited by 67 publications

(78 citation statements)

References 32 publications

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“…Age was also another predictor for re-arrest. Contrary to previous studies (Myers, 2003; Trulson et al, 2005), our results indicate that older youth were more likely to be re-arrested than younger youth who are involved in the juvenile justice system. Older youth are more likely to have the opportunity to engage deviant behavior and delinquent acts than younger youth (Watson, 2007).…”

Section: Discussioncontrasting

confidence: 99%

“…Minor et al's (1997) two-year follow-up study, which consisted of a group of 475 youth referred to a juvenile court for the first time, also found that younger juveniles were significantly more likely to be re-arrested than older youth. Myers (2003) examined the likelihood, seriousness, and timing of re-arrest for 494 violent youth offenders in Pennsylvania. Consistent with previous studies, Myers' (2003) findings also indicated that younger youth were more likely than older youth to be rearrested.…”

Section: Static Risk Factorsmentioning

confidence: 99%

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Re-Arrest Among Juvenile Justice-Involved Youth: An Examination of the Static and Dynamic Risk Factors

Hong¹,

Ryan²,

Chiu³

et al. 2013

Residential Treatment For Children & Youth

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The purpose of this study is to investigate the static and dynamic risk factors for re-arrest among detained youth by examining gender, race/ethnicity, age, special education and mental health variables (i.e., anger/irritability, depression/anxiety, somatic complaints, suicide ideation, thought disturbances, and traumatic experiences). The demographic profiles of detained youth with one admit were also compared with those with multiple admits to the juvenile detention center. With regards to static risk factors, older, white, and special education were significantly at risk of re-arrest. Concerning dynamic risk factors, only anger/irritability predicted re-arrest. Practice implications are also discussed.

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Section: Discussioncontrasting

confidence: 99%

Section: Static Risk Factorsmentioning

confidence: 99%

Re-Arrest Among Juvenile Justice-Involved Youth: An Examination of the Static and Dynamic Risk Factors

Hong¹,

Ryan²,

Chiu³

et al. 2013

Residential Treatment For Children & Youth

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“…They find higher recidivism rates among transferred youth (Myers 2003;Lanza-Kaduce et al 2005;Fagan, Kupchik, and Liberman 2007) and some evidence of treatment effect heterogeneity (Loughran et al 2010;Fagan, Kupchik, and Liberman 2007).…”

Section: Prior Literaturementioning

confidence: 99%

Decriminalizing Delinquency: The Effect of Raising the Age of Majority on Juvenile Recidivism

Loeffler¹,

Grunwald²

2015

The Journal of Legal Studies

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In the last decade, a number of states have expanded the jurisdiction of their juvenile courts by increasing the maximum age to 18. Proponents argue that these expansions reduce crime by increasing access to the beneficial features of the juvenile justice system. Critics counter that the expansions risk increasing crime by reducing deterrence. In 2010, Illinois raised the maximum age for juvenile court for offenders who commit a misdemeanor. By examining the effect of this law on juvenile offenders in Chicago, this paper provides the first empirical estimates of the consequences of recent legislative activity to raise the age of criminal majority. Applying a difference-in-differences design with multiple control groups, we find little evidence of an effect. Our results suggest that-contrary to the expectations of both advocates and opponents-increasing the maximum age for juvenile court does not affect juvenile recidivism.

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“…These findings raise important questions about the impact of incarceration on inmates' psychological correlates of (Ashkar & Kenny, 2008; Lambie & Randell, 2013; Lane et al, 2002;Myers, 2003). The traditional penitentiary treatment, together with the controls' harsh criminal features (e.g., longer sentence length), may be responsible for the observed deterioration in these subjects.…”

Section: **Insertmentioning

confidence: 94%

“…These findings raise important questions about the impact of incarceration on inmates' psychological correlates of antisocial behavior. The worrisome deterioration observed in controls over a one year period in variables such as anger, shame, and paranoia, raises the question of whether traditional prison practices work towards rehabilitation or may be bolstering psychological and emotional processes related to maladaptive behavior (Ashkar & Kenny, 2008;Lambie & Randell, 2013;Lane et al, 2002;Myers, 2003). The traditional penitentiary treatment, together with the controls' harsh criminal features (e.g., longer sentence length), may be responsible for the observed deterioration in these subjects.…”

Section: **Insertmentioning

confidence: 99%

Clinical change in anger, shame, and paranoia after a structured cognitive-behavioral group program: Early findings from a randomized trial with male prison inmates

et al. 2015

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Objectives: This study's main goal was to assess the efficacy of a structured cognitive-behavioral group program, Growing Pro-Social (GPS), in reducing anger, paranoia and external shame in male prison inmates.Methods: In this randomized trial, a treatment group (n=24) was compared to a control group (n=24) and both groups were assessed at pre-and post-treatment. Participants answered the State-Trait Anger Expression Inventory, the Paranoia Scale, and the Other as Shamer Scale.Treatment effects were tested using ANCOVA with baseline as covariate and condition as fixed factor. Additionally, in order to assess significant clinical change after intervention, the Reliable Change Index (RCI) was computed.Results: At baseline, no significant differences between conditions were found. ANCOVA with baseline as covariate showed significant differences between groups at post-treatment. When compared to controls, treatment subjects showed lower scores in anger-trait (temperament and reaction subscales) and paranoia. Concerning clinical change, a high percentage of treatment subjects presented improvements in anger, paranoia and external shame; the majority of controls showed significant deterioration in the same variables. After treatment, differences between groups were observed in the distributions by clinical change categories for anger-trait and its subscales, and paranoia. No differences between groups were found in anger-state and external shame.Conclusions: These results point out the GPS's ability to promote significant change in cognitive and emotional relevant variables associated with antisocial behavior.Keywords: Anger; Antisocial Behavior; Clinical Change; External Shame; Growing ProSocial; Paranoia Running head: CLINICAL CHANGE IN ANGER, SHAME, AND PARANOIA 3 Clinical change in anger, shame and paranoia after a structured cognitive-behavioral group program: Early findings from a randomized trial with male prison inmates Meta-analytic research (Andrews et al., 1990; Garret, 1985; Lipsey, 1995; Lipsey & Wilson, 1998; Lösel, 1995; McGuire 2001;Redondo et al., 1997;Redondo et al., 1999) has shown that multimodal programs have a significant impact in the reduction of recidivism in offenders. These studies pointed out that cognitive-behavioral based programs are among the most effective, namely when cognitive variables are included as targets for change (Bogestad et al., 2009; Hollin et al., 2013;Pearson et al., 2002;Wilson et al., 2005). It has been suggested that these interventions can be improved in order to achieve even better outcomes in recidivism reduction obeying to the Risk-Need-Responsivity (RNR) model (Andrews & Bonta, 2010a, b;Andrews et al., 2006;Andrews & Dowden, 2005; Dowden & Andrews, 2000, 2004. The RNR model is based in "human service principles", which state that recidivism reduction should be achieved through some type of treatment instead of punishment. Research has shown that punitive strategies actually increase criminal recidivism (Andrews & Bonta 2010a, 2010b Caldwell & R...

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The Recidivism of Violent Youths in Juvenile and Adult Court

Cited by 67 publications

References 32 publications

Re-Arrest Among Juvenile Justice-Involved Youth: An Examination of the Static and Dynamic Risk Factors

Re-Arrest Among Juvenile Justice-Involved Youth: An Examination of the Static and Dynamic Risk Factors

Decriminalizing Delinquency: The Effect of Raising the Age of Majority on Juvenile Recidivism

Clinical change in anger, shame, and paranoia after a structured cognitive-behavioral group program: Early findings from a randomized trial with male prison inmates

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