Using Discrete-Event Simulation Modeling to Estimate the Impact of RNR Program Implementation on Recidivism Levels

Author:

Pattavina April,Taxman Faye S.

Publisher

Springer New York

Reference31 articles.

1. Ainsworth, S., & Taxman, F. (2012). Creating simulation parameter inputs with existing data sources: Estimating offender risks, needs and recidivism. In F. Taxman & A. Pattavina (Eds.), Simulation strategies to reduce recidivism: Risk need responsivity (RNR) modeling in the criminal justice system. New York, NY: Springer.

2. Alimadad, A., Borwein, P., Brantingham, P., Brantingham, P., Dabbaghian-Abdoly, V., Ferguson, R., et al. (2008). Using varieties of simulation modeling for criminal justice system analysis. In J. Eck & L. Liu (Eds.), Artificial crime analysis systems: Using computer simulations and geographic information systems. Hershey, PA: IGI Global.

3. Andrews, D., Bonta, J., & Hoge, R. D. (1990). Classification for effective rehabilitation: Rediscovering psychology. Criminal Justice and Behavior, 17, 19–52.

4. Auerhahn, K. (2003). Selective incapacitation and public policy. Albany, NY: State University of New York Press.

5. Auerhahn, K. (2008). Dynamic systems simulation analysis: A planning tool for the new century. Journal of Criminal Justice, 36, 293–300.

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