2009
DOI: 10.1177/0741932509355990
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Predictors of Offense Severity, Adjudication, Incarceration, and Repeat Referrals for Juvenile Offenders

Abstract: The authors examined predictors of offense severity, judicial disposition (e.g., diversion, prosecution, incarceration), and repeat offending. Data were obtained on approximately 100,000 individuals from the South Carolina Department of Juvenile Justice. Whites and females were more likely to be prosecuted than Blacks and males, particularly for less serious offenses. At first and second referrals, Blacks were more likely to be incarcerated than Whites. Youth referred before age 14 were more likely to recidiva… Show more

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Cited by 45 publications
(37 citation statements)
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“…Academic factors discriminating recidivists from non-recidivists include deficits in basic skills and special education background (Archwamety & Katsiyannis, 1998;Katsiyannis & Archwamety, 1997). Higher rates of recidivism are also found among juvenile offenders who are African Americans (Gavazzi, Yarcheck, Sullivan, Jones, & Khurana, 2008) and males (Barrett et al, 2010). However, African-American young people did not differ significantly when accounting for lower than mean risk levels in accountability and education.…”
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confidence: 73%
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“…Academic factors discriminating recidivists from non-recidivists include deficits in basic skills and special education background (Archwamety & Katsiyannis, 1998;Katsiyannis & Archwamety, 1997). Higher rates of recidivism are also found among juvenile offenders who are African Americans (Gavazzi, Yarcheck, Sullivan, Jones, & Khurana, 2008) and males (Barrett et al, 2010). However, African-American young people did not differ significantly when accounting for lower than mean risk levels in accountability and education.…”
mentioning
confidence: 73%
“…The method used was proportional hazards regression (also termed Cox regression), a type of survival/ failure analysis (Singer & Willett, 2003). This analysis technique was used previously to examine the likelihood of and timing of recidivism (e.g., Barrett et al, 2010;Zhang, Katsiyannis, Barrett, & Willson, 2007). In this proportional hazards regression analysis, recidivism (repeated offense) is predicted by time, possibly adjusting for various other entry characteristics of the students.…”
Section: Analysis Planmentioning
confidence: 99%
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“…This suggests that these juveniles do not have a higher incidence of eating disorders than the young people belonging to the standard group, which is found to be in clear contradiction to what is evidenced by other studies that indicate that stress and psychosocial adversity -especially deriving from family dynamics -constitute factors that are clearly involved in the development of eating disorders (Behar & Valdés, 2009 Table 5 Classification These differences could be explained, at least in part, by the adequacy of the context and family dynamics perceived by the group of juvenile offenders in the present study, which they assess, according to the results obtained in the FAM scale, as free of conflicts and experiences of misunderstanding that generate interferences for them in their functioning and behaviour. Nevertheless, the satisfaction with the family climate displayed by the group of juvenile offenders should not be confused with this being adequate or with the fact of the educational styles being appropriate; above all, in the knowledge that low parental involvement in the life of young people is strongly related to criminal recidivism (Barrett, Katsiyannis, & Zhang, 2010), as well as the fact that poor parent-child interaction constitutes an important risk factor for the development of antisocial and criminal behaviour, while warm relationships would act as a protective factor (Armenta, Corral, López, Díaz, & Peña, 2001).…”
Section: Discussionmentioning
confidence: 99%