The differential predictive validity of the Youth Level of Service/Case Management Inventory: the role of gender

Anderson, Valerie R.; Davidson, William S.; Barnes, Ashlee R.; Campbell, Christina; Petersen, Jodi; Onifade, Eyitayo

doi:10.1080/1068316x.2016.1174861

Cited by 26 publications

(25 citation statements)

References 27 publications

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“…These findings are not surprising given research on the school to prison pipeline suggests that policies that involve or lead to expulsion and suspension has played a significant role in the school to prison pipeline (Wilson, 2014). Studies have found aggression or behavioral items to have the strongest impact on recidivism (Anderson et al, 2016; McCafferty, 2016). However, it is important to consider the role structural and evironmental factors play in behavior and social experiences.…”

Section: Discussionmentioning

confidence: 99%

“…Some studies have demonstrated that certain risk domains commonly included in risk assessment differentially affect females compared to males. For example, Anderson et al (2016) found that all domains in the YLS/CMI significantly predicted recidivism for males, while only family and personality significantly predicted recidivism for females. Similarly, Schwalbe et al (2006) found the NCAR predicted recidivism better for males than females.…”

Section: Predictive Validity Of Risk Assessment By Race and Gendermentioning

confidence: 99%

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Validation of the Ohio Youth Assessment System Dispositional Tool (OYAS-DIS): An Examination of Race and Gender Differences

Campbell

D’Amato

Papp

2019

Youth Violence and Juvenile Justice

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The Ohio Youth Assessment System-Disposition Tool (OYAS-DIS) is a juvenile risk assessment that is used in numerous states and jurisdictions to assess criminogenic risk of juvenile offenders. Still, there is little published research on the predictive validity of the tool. The purpose of the current study was to examine the predictive validity of OYAS-DIS, with a specific focus on understanding prediction of recidivism across racial and gender subgroups. The sample consisted of 4,383 youth that received a court petition in a single large Midwestern county juvenile court. The findings indicated that the OYAS-DIS was a statistically significant predictor of recidivism across all racial and gender subgroups. However, there was statistically significant variation in predictive validity across subgroups. For instance, the tool was a statistically significantly better predictor of recidivism for White males as compared to Black male youth. There was also statistically significant variation in the predictive validity of certain domains (e.g., juvenile justice history) on the OYAS-DIS across racial and gender subgroups. Implications of research favor the use of the OYAS-DIS to predict recidivism for adjudicated juveniles.

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Section: Discussionmentioning

confidence: 99%

Section: Predictive Validity Of Risk Assessment By Race and Gendermentioning

confidence: 99%

Validation of the Ohio Youth Assessment System Dispositional Tool (OYAS-DIS): An Examination of Race and Gender Differences

Campbell

D’Amato

Papp

2019

Youth Violence and Juvenile Justice

Self Cite

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“…The YLS/CMI has been shown to discriminate re-offending by low, medium, and high scores (e.g. Cathpole & Gretton, 2003; Onifade et al, 2008) and is predictive of recidivism and treatment success (Vierira, Skilling, & Peterson-Badali, 2009; Olver, Stockdale, & Wormith, 2011; Schmidt, Campbell, & Houlding, 2011), although some research suggests this effect is stronger for boys than girls (Anderson et al, 2016). Further, the YLS/CMI has be validated for use in adolescents referred for psychological assessments (Schmidt et al, 2011) and in psychological rehabilitation settings (Flores, Travis, & Latessa, 2003) and overall, demonstrates good internal consistency and inter-rater reliability (Schmidt et al, 2005).…”

Section: Methodsmentioning

confidence: 99%

“…Research indicates that the YLS/CMI total score is a valid means of predicting recidivism (e.g. Olver et al, 2012; Anderson et al, 2016). There is no research to date examining the ability of the YLS/CMI to specifically predict running away, but given its content, ease of administration, frequent usage in clinical settings, and usefulness in predicting recidivism, the YLS/CMI is a prime candidate for predicting running away.…”

Section: Introductionmentioning

confidence: 99%

Predicting running away in girls who are victims of commercial sexual exploitation

Hershberger

Sanders

Chick

et al. 2018

Child Abuse & Neglect

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Youth that are victims of commercial sexual exploitation of children (CSEC) have a host of clinical problems and often run away from home, residential care, and treatment, which complicates and limits treatment effectiveness. No research to date has attempted to predict running away in CSEC victims. The present study aimed to 1) characterize a clinically referred sample of girls who were victims of CSEC and compare them to other high-risk girls (i.e., girls who also have a history of trauma and running away, but deny CSEC); and 2) examine the utility of using the Youth Level of Service/Case Management Inventory (YLS/CMI) to predict future running away. Data were collected from de-identified charts of 80 girls (mean age = 15.38, SD = 1.3, 37.9% White, 52.5% CSEC victims) who were referred for psychological assessment by the Department of Child Services. Girls in the CSEC group were more likely to have experienced sexual abuse (χ = 6.85, p = .009), an STI (χ = 6.45, p = .01), a post-traumatic stress disorder diagnosis (χ = 11.84, p = .001), and a substance use disorder diagnosis (χ = 11.32, p = .001) than high-risk girls. Moderated regression results indicated that YLS/CMI scores significantly predicted future running away among the CSEC group (β = 0.23, SE = .06, p = .02), but not the high-risk group (β = -.008, SE = .11, p =.90). The YLS/CMI shows initial promise for predicting future running away in girls who are CSEC victims. Predicting running away can help identify those at risk for and prevent running away and improve treatment outcomes. We hope current findings stimulate future work in this area.

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“…Although these results converge with those from a previous meta-analysis (Olver, Stockdale, & Wormith, 2009), findings between studies are not homogeneous. Prediction research shows with higher scores, recidivism is lower among girls compared to boys (Anderson et al, 2016). Another benchmark in the risk assessment of youths, the SAVRY (Borum, Bartel, & Forth, 2006), shows similar predictive validity for both sexes (Childs, Frick, & Gottlieb, 2016;Gammelgård, Koivisto, Eronen, & Kaltiala-Heino, 2008;Meyers & Schmidt, 2008;Penney et al, 2010), although different prevalence rates are also observed depending on the type of risk factor (more antisocial behavior in boys and more past violence and life stressors in girls) (Gammelgård, Weizmann-Henelius, Koivisto, Eronen, & Kaltiala-Heino, 2012).…”

Section: Introductionmentioning

confidence: 98%

Gender differences in child to parent violence risk factors

2020

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La violencia filio-parental (VFP) ha suscitado un enorme interés académico. Pese a ello, pocos estudios comparan los factores de riesgo de chicos y chicas implicados en estas agresiones a sus progenitores. El presente trabajo compara 56 chicos y 35 chicas agresores evaluados con la Guía para la Valoración del Riesgo de Violencia Filio-Parental (RVFP). Las chicas provenían de forma significativa de contextos más problemáticos (con bidireccionalidad de la violencia, violencia entre los progenitores, problemas de convivencia y problemas en los progenitores) y tenían significativamente menos autoestima. Los chicos presentaron significativamente más historial de problemas de abusos de sustancias y mayor escalada en la violencia. En conjunto, ambos sexos presentaban prevalencias similares en la mayoría de las variables, su violencia era comparable (aunque las lesiones a los padres fueron exclusivas de los chicos) y las familias eran más problemáticas en ellas. La predicción de las lesiones a la madre con la puntuación del RVFP fue significativa en el caso de los varones (AUC = ,842) pero no en el caso de ellas (AUC = ,660). Los resultados justifican el uso de tratamientos y herramientas comunes en chicos y chicas implicados en VFP, aunque se discuten desarrollos aún necesarios en la materia. Child-to-parent violence (CPV) has attracted enormous academic interest. Despite this, few studies compare the risk factors between female and male perpetrators of this abuse toward parents. This paper compares 56 male and 35 female CPV offenders, evaluated with the Child-to-Parent Violence Risk assessment tool (CPVR). Results show that girls came from significantly more problematic contexts (with bidirectionality of violence, violence between parents, cohabitation problems and personal problems of parents, and had significantly lower self-esteem. Boys had significantly more histories of substance abuse issues and greater rates of escalation of violence. Overall, both sexes had similar prevalence rates for most variables, the type of violence committed was comparable (although injuries toward fathers were only perpetrated by boys), and female perpetrators had more problematic families than their male counterparts. CPVR scores significantly predicted injuries toward the mother for male offenders (AUC = .842), but not for female offenders (AUC = .660). These results support the use of common treatments and tools for female and male CPV offenders. Future steps and developments in the field are also discussed.

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The differential predictive validity of the Youth Level of Service/Case Management Inventory: the role of gender

Cited by 26 publications

References 27 publications

Validation of the Ohio Youth Assessment System Dispositional Tool (OYAS-DIS): An Examination of Race and Gender Differences

Validation of the Ohio Youth Assessment System Dispositional Tool (OYAS-DIS): An Examination of Race and Gender Differences

Predicting running away in girls who are victims of commercial sexual exploitation

Gender differences in child to parent violence risk factors

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