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Session Submission Type: Complete Thematic Panel
This panel will present findings from a portfolio of federally-funded research examining how approaches to data and measurement affect tracking and understanding juvenile reoffending, and the implications for juvenile justice practice and programming. Specifically, this panel will highlight (1) the current national landscape and best practices of juvenile recidivism measurement, (2) the impact of measurement approaches on rates and predictors of juvenile recidivism, (3) the effect of dynamic risk trajectories on understanding recidivism and the use of risk assessment, and (4) the dynamic impact of needs scores on predictions of recidivism and the implications for programming.
Advancing the Juvenile Recidivism Measurement and Data Use - Benjamin Adams, National Institute of Justice
Measurement Matters: Comparing Different Operationalizations of Juvenile Recidivism through Point Estimates and Multivariate Multilevel Models - Sonja Siennick, Florida State University; William Casey, Florida State University
Dynamic Risk Trajectories, Community Context, and Juvenile Recidivism - Kevin Wolff, John Jay College of Criminal Justice, CUNY; Michael Baglivio, Youth Opportunity Investments; Jonathan Intravia, Ball State University
The Dynamic Impact of Needs: Changes in Youth Assessment Scores Over Time - Zachary Hamilton, University of Nebraska at Omaha; Amber E. Krushas, University of Nebraska at Omaha; Alex Kigerl, University of Nebraska at Omaha; Xiaohan Mei, California State University, Los Angeles