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Simulation Strategies to Reduce Recidivism

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Cover of 'Simulation Strategies to Reduce Recidivism'

Table of Contents

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    Book Overview
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    Chapter 1 Planning for the Future of the US Correctional System
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    Chapter 2 A Case Study in Gaps in Services for Drug-Involved Offenders
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    Chapter 3 The Simulation Modelling Process
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    Chapter 4 The Empirical Basis for the RNR Model with an Updated RNR Conceptual Framework
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    Chapter 5 Creating Simulation Parameter Inputs with Existing Data Sources: Estimating Offender Risks, Needs, and Recidivism
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    Chapter 6 The Responsivity Principle: Determining the Appropriate Program and Dosage to Match Risk and Needs
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    Chapter 7 Reducing Recidivism Through Correctional Programming: Using Meta-Analysis to Inform the RNR Simulation Tool
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    Chapter 8 RNR Simulation Tool: A Synthetic Datasets and Its Uses for Policy Simulations
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    Chapter 9 A Simulation Modeling Approach for Planning and Costing Jail Diversion Programs for Persons with Mental Illness
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    Chapter 10 Using Discrete-Event Simulation Modeling to Estimate the Impact of RNR Program Implementation on Recidivism Levels
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    Chapter 11 Risk-Need-Responsivity (RNR): Leading Towards Another Generation of the Model
Attention for Chapter 5: Creating Simulation Parameter Inputs with Existing Data Sources: Estimating Offender Risks, Needs, and Recidivism
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Chapter title
Creating Simulation Parameter Inputs with Existing Data Sources: Estimating Offender Risks, Needs, and Recidivism
Chapter number 5
Book title
Simulation Strategies to Reduce Recidivism
Published by
Springer, New York, NY, January 2013
DOI 10.1007/978-1-4614-6188-3_5
Book ISBNs
978-1-4614-6187-6, 978-1-4614-6188-3
Authors

Stephanie A. Ainsworth, Faye S. Taxman, Ainsworth, Stephanie A., Taxman, Faye S.

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