Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/91430

TítuloPredictive validity of the YLS/CMI in a sample of Portuguese young offenders
Autor(es)Gouveia, Cláudia
Fernandes, Delfina
Pratas, Miguel
Macedo, Margarida
Cóias, João
Pral, Catarina
Pinto, Renata
Bastos, Maria
Bento, Ana
Lagoa, Teresa
Gonçalves, Rui Abrunhosa
Caridade, Sónia Maria Martins
Palavras-chaveJuvenile delinquency
Predictive validity
Recidivism
Juvenile justice
Risk assessment
Youth level of service/Case management inventory (YLS/CMI)
Data7-Mai-2024
EditoraSAGE Publications
RevistaCrime & Delinquency
CitaçãoGouveia, C., Fernandes, D., Pratas, M., Macedo, M., Cóias, J., Pral, C., Pinto, R., Bastos, M., Bento, A., Lagoa, T., Gonçalves, R. A., & Caridade, S. (2024). Predictive validity of the YLS/CMI in a sample of Portuguese young offenders. Crime & Delinquency, 1-25. https://doi.org/10.1177/00111287241249732
Resumo(s)The Youth Level of Service/Case Management Inventory (YLS/CMI) is a widely used risk assessment instrument that comprehensively assesses risk factors and criminogenic needs among young individuals. This study explores the association between YLS/CMI scores and subsequent recidivism among 608 Portuguese young offenders aged 12 to 18 years. The results support the predictive validity of the YLS/CMI in assessing recidivism among young offenders. The study found significant connections between YLS/CMI scores and recidivism for Placement in an Education Center (PEC) measures, indicating higher scores correlated with increased reoffending likelihood. However, no significant association was found between YLS/CMI scores and recidivism in Educational Supervision (ES) measures. These results emphasize the need to consider specific measures when gauging YLS/CMI’s predictive validity.
TipoArtigo
URIhttps://hdl.handle.net/1822/91430
DOI10.1177/00111287241249732
Versão da editorahttps://doi.org/10.1177/00111287241249732
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CIPsi - Artigos (Papers)

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