Predictive validity of the YLS/CMI in a sample of Portuguese young offenders

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 Portugu...

Ausführliche Beschreibung

Gespeichert in:  
Bibliographische Detailangaben
VerfasserInnen: Gouveia, Cláudia (VerfasserIn) ; Fernandes, Delfina (VerfasserIn) ; Pratas, Miguel (VerfasserIn) ; Macedo, Margarida (VerfasserIn) ; Cóias, João (VerfasserIn) ; Pral, Catarina (VerfasserIn) ; Ávila, Renata 1981- (VerfasserIn) ; Bastos, Maria (VerfasserIn) ; Bento, Ana (VerfasserIn) ; Lagoa, Teresa (VerfasserIn) ; Gonçalves, Rui Abrunhosa (VerfasserIn) ; Caridade, Sónia (VerfasserIn)
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2024
In: Crime & delinquency
Jahr: 2024, Band: 00, Seiten: 1-25
Online-Zugang: Volltext (kostenfrei)
Volltext (kostenfrei)
Journals Online & Print:
Lade...
Verfügbarkeit prüfen: HBZ Gateway
Schlagwörter:
Recidivism
Juvenile Justice
risk assessmen
Predictive Validity
youth level ofservice/Case Management Inventory (YLS/CMI)
Beschreibung
Zusammenfassung: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.
Beschreibung:Literaturverzeichnis: Seite 20-24
Physische Details:Illustrationen
ISSN:1552-387X
DOI:10.1177/00111287241249732