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Date: April 29, 2024 Mon
Time: 9:00 pm
Time: 9:00 pm
Results for parole (georgia)
1 results foundAuthor: Meredith, Tammy Title: Enhancing Parole Decision-Making Through the Automation of Risk Assessment Summary: How do we know if a parolee will be arrested while under our supervision? We cannot know for certain. Yet by using the tools of science, we can improve upon our professional judgment by mathematically assessing risk. An officer with insight into a parolee’s likelihood of re-offending can make more informed case supervision decisions. This idea exemplifies the Georgia Board of Pardons and Paroles’ philosophy of “results driven supervision,” which encourages the use of research to improve our ability to address the needs of parolees in order to enhance their chances of successful integration into the community. The development of risk assessment instruments is based on the premise that certain factors (characteristics of an offender or his environment) can be used to predict an offender’s risk of future criminality. Correctional professionals have traditionally relied on clinical and professional judgment to predict the behavior of offenders. We can now add to that a sizable body of research, emerging over the past twenty years, that identifies factors statistically predictive of recidivism in order to create and validate actuarial risk instruments. Actuarial risk instruments have focused primarily on static, or unchanging predictors of recidivism, such as age and prior criminality. Today, empirically-derived assessment instruments are evolving to include both static and dynamic predictors of recidivism, or those factors that can change over time, such as offender attitudes and behavior while under correctional supervision. This trend is confirmed by the work of Gendreau and colleagues (1996) in identifying the 10 static and 7 dynamic risk factors that consistently surface across 131 recidivism studies published between 1970 and 1994 (most importantly age, prior record, antisocial personality, companions, and criminogenic needs -- which establish standards of conduct and rational for engaging in antisocial behavior). Despite the identification of 17 prime risk factors, Gendreau and his colleages note that composite risk scales, which summarize a variety of risk factors, remain the most powerful predictors of recidivism. Today, many correctional agencies are adopting existing and well-tested composite risk scales. Some are developing their own scales, based upon data analyses performed on their own population of offenders. To assess the empirical support for various risk assessment options, we identified 42 risk assessment studies published in the past twenty years (see Table 1). This body of literature guided the Georgia Board of Pardons and Paroles in developing an actuarial risk assessment method for the assignment of supervision level for 20,000 active parolees. Details: Atlanta, GA: Applied Research Services, Inc, 2001. 31p. Source: Internet Resource: Accessed September 1, 2011 at: http://www.ars-corp.com/_view/PDF_Files/EnhancingParoleDecisionMakingThroughtheAutomationofRiskAssessment2003.pdf Year: 2001 Country: United States URL: http://www.ars-corp.com/_view/PDF_Files/EnhancingParoleDecisionMakingThroughtheAutomationofRiskAssessment2003.pdf Shelf Number: 122586 Keywords: Parole (Georgia)ParoleesRecidivismRisk Assessment |