Unremediated learning disabilities and reincarceration

Traynelis-Yurek, Elaine; Giacobbe, George

doi:10.1080/10509674.1988.9963900

Cited by 3 publications

(4 citation statements)

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“…VE is also high in this sample, reported by over half of participants. Consistent with other studies (Alltucker, Bullis, Close, & Yovanoff, 2006; Bullis & Yovanoff, 2005; Traynelis-Yurek & Giacobbe, 1988), findings indicate a significant degree of academic problems within this incarcerated group, which are much higher than those found in a normative sample. At the time of the study, 70% had current Individual Education Plans (IEP) with a lifetime rate of 76%.…”

Section: Discussionsupporting

confidence: 90%

“…Incarcerated populations have significantly lower rates of achievement and higher rates of special education than the general population (Malmgren & Leone, 2000; Murphy, 1986; Traynelis-Yurek & Giacobbe, 1988). Incarcerated youth with learning disabilities are more likely to have failed a grade than other youth with learning disabilities (Bullis & Yovanoff, 2005) and late starters of criminal behavior are more likely to have a learning disability than early starters (Alltucker, Bullis, Close, & Yovanoff, 2006).…”

Section: Cognitive Processing In Incarcerated Populationsmentioning

confidence: 99%

“…Incarcerated populations have higher rates of problems in multiple domains including, social (Dembo & Schmeidler, 2003), academic (Alltucker, Bullis, Close, & Yovanoff, 2006; Traynelis-Yurek & Giacobbe, 1988) and mental health (MH; Brower & Price, 2001; Cockram, 2005; Murphy, 1986). Current functioning and later recidivism are likely influenced by these factors and the interdependence between them.…”

mentioning

confidence: 99%

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Typologies of Violence Exposure and Cognitive Processing in Incarcerated Male Adolescents

et al. 2014

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Incarcerated youth experience high rates of violence exposure (VE), cognitive processing (CP) deficits, and mental health (MH) problems. It is not clear whether VE combined with CP deficits are particularly salient risk factors for MH dysfunction. Male incarcerated youth offenders (n = 115) completed standardized self-reports of MH and VE. CP was measured with executive functioning tasks and academic assessments. Person-centered Ward’s Squared Euclidian Distance cluster analysis was used to examine unique patterns of CP and VE. Cluster analysis defined five distinct profiles of MH functioning, CP, and VE rates within incarcerated adolescents. Two groups, with high rates of VE and CP deficits, showed high rates of MH problems. Linear techniques may obscure important differences within this population.

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Section: Discussionsupporting

confidence: 90%

Section: Cognitive Processing In Incarcerated Populationsmentioning

confidence: 99%

mentioning

confidence: 99%

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Typologies of Violence Exposure and Cognitive Processing in Incarcerated Male Adolescents

et al. 2014

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“…While there is no direct causal link between poor academic achievement and delinquency and recidivism, effective remediation of educational deficits has been identified as a good predictor of prosocial behavior (Brunner, 1993;Spellacy & Brown, 1984;Traynelis-Yurek & Giacobbe, 1989). Unfortunately, these studies are relatively few, used small samples, and involved youths committed by the courts to residential facilities as opposed to juvenile correctional facilities.…”

Section: Effects Of Remediationmentioning

confidence: 99%

Academic Remediation/Achievement and other Factors Related to Recidivism Rates among Delinquent Youths

Katsiyannis

Archwamety

1999

Behavioral Disorders

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Given the close association of academic achievement with delinquency and recidivism, further examination of the relationship between these variables is warranted. This study examined the records of 549 delinquent males committed to the Youth Rehabilitation and Treatment Center in Kearney, Nebraska (a state correctional facility), who received general equivalency diplomas (GEDs) while incarcerated and those whose academic achievement was assessed (Woodcock Johnson Psychoeducational Battery-Revised/Tests of Achievement [WJ-ACH] pretest and posttest scores [Woodcock & Johnson, 1989]) from 1990 through 1996. Findings were consistent with previous research showing that the age of the offender at first offense and first commitment differentiated recidivists from nonrecidivists. Additional discriminant factors included pretest WJ-ACH scores in reading, writing, math, and skills; improvement in academic achievement in writing and skills; and GED performance in science and math, location of residence, and ethnic origin.

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Rehabilitation Services for Criminal Offenders

Pallone

Hennessy

Plenum Series in Rehablititation and Health

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Unremediated learning disabilities and reincarceration

Cited by 3 publications

References 0 publications

Typologies of Violence Exposure and Cognitive Processing in Incarcerated Male Adolescents

Typologies of Violence Exposure and Cognitive Processing in Incarcerated Male Adolescents

Academic Remediation/Achievement and other Factors Related to Recidivism Rates among Delinquent Youths

Rehabilitation Services for Criminal Offenders

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