Simulation Strategies to Reduce Recidivism Risk Need Responsivity (R
Mass incarceration, the recession, and the swinging pendulum of correctional philosophies has put increasing attention on the use of evidence-based practices and treatments to guide the future direction of our criminal justice system. The Risk-Need-Respon
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Simulation Strategies to Reduce Recidivism Risk Need Responsivity (RNR) Modeling for the Criminal Justice System
Simulation Strategies to Reduce Recidivism
Faye S. Taxman • April Pattavina Editors
Simulation Strategies to Reduce Recidivism Risk Need Responsivity (RNR) Modeling for the Criminal Justice System
Editors Faye S. Taxman Department of Criminology, Law, and Society George Mason University Fairfax, VA, USA
April Pattavina School of Criminology and Justice Studies University of Massachusetts Lowell Lowell, MA, USA
ISBN 978-1-4614-6187-6 ISBN 978-1-4614-6188-3 (eBook) DOI 10.1007/978-1-4614-6188-3 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2013938600 © Springer Science+Business Media New York 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Why Do We Need the RNR Simulation Tools? Over the last decade there has been a growing consensus among academics and practitioners about the importance of using evidence-based practices in the field of corrections. The consensus extends to the need to better align existing practices with known offender and program attributes that will generate better outcomes. Embedded in evidence-based practices is that organizations should: (1) use a valid risk and need assessm
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