The empirical validation of an instrument to predict risk of recidivism among juvenile offenders / Judy Krysik, Craig Winston LeCroy
In: Research on Social Work Practice .ISSN 15527581. [S.l.]. Nº 12 (2002) , p. 71-81Idioma: Inglês.País: Estados Unidos.ISSN: 15527581Assunto: JUSTIÇA JUVENIL | DELINQUÊNCIA JUVENIL | REINCIDÊNCIA | ESTATÍSTICAS CDU: 343.121.5 Localização e Cota : 343.121.5KRY Resumo: An increase in the number of juveniles entering the juvenile justice system in the past 10 years has heightened the demand for rehabilitation services. Because the demand for rehabilitative is greater than resources allow, efforts are underway to predict who is a high risk for recidivism so that services may be focused on these juveniles, while reducing efforts to those who are low-risk. In addition, statistical risk prediction is intended to infuse the decision-making process with greater equity and objectivity because the same factors are considered for every juvenile. This article describes the use of statistical risk prediction for first-time juvenile offenders. Suggestions for implementation are provided based on lessons learned from this research.| Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Analíticos de Periódicos | Biblioteca da Direção-Geral de Reinserção e Serviços Prisionais | 343.121.5KRY (Browse shelf) | 9269 | Available | DGRSP9269 |
An increase in the number of juveniles entering the juvenile justice system in the past 10 years has heightened the demand for rehabilitation services. Because the demand for rehabilitative is greater than resources allow, efforts are underway to predict who is a high risk for recidivism so that services may be focused on these juveniles, while reducing efforts to those who are low-risk. In addition, statistical risk prediction is intended to infuse the decision-making process with greater equity and objectivity because the same factors are considered for every juvenile. This article describes the use of statistical risk prediction for first-time juvenile offenders. Suggestions for implementation are provided based on lessons learned from this research.
There are no comments for this item.