Recidivism Measurement and Sanction Effectiveness in Youth Diversion Programs

Recidivism Measurement and Sanction Effectiveness in Youth Diversion Programs

University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2012 Recidivism Measurement And Sanction Effectiveness In Youth Diversion Programs Thomas T. Maroney University of Central Florida Part of the Public Affairs, Public Policy and Public Administration Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Maroney, Thomas T., "Recidivism Measurement And Sanction Effectiveness In Youth Diversion Programs" (2012). Electronic Theses and Dissertations, 2004-2019. 2476. https://stars.library.ucf.edu/etd/2476 RECIDIVISM MEASUREMENT AND SANCTION EFFECTIVENESS IN YOUTH DIVERSION PROGRAMS by THOMAS T. MARONEY B.S. State University of New York, College at Fredonia, 1995 M.B.A. Canisius College, 1999 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctorate of Philosophy in the Department of Public Affairs in the College of Health and Public Affairs at the University of Central Florida Orlando, Florida Summer Term 2012 Major Professor: Thomas T.H. Wan © 2012 THOMAS T. MARONEY ii ABSTRACT With the rapid growth of juvenile offender diversion programs, which use many non- traditional sanctions, the effectiveness of sanction combinations in juvenile diversion programs and in each individual program needs to be evaluated. Those making sanctioning decisions currently do so based on intuition rather than using an evidence- or theory-based approach. Considerable research has examined the relationship between offender risk factors and recidivism (who is more likely to reoffend?) and between offender risk factors and sanctions (who is more likely to receive what sanctions?), but little is known about the relationship between sanctions and recidivism (which sanctions best reduce recidivism and for whom?). Furthermore, recidivism studies vary drastically in how they measure or quantify recidivism. This variability of approach makes comparing studies difficult and provides a less-than-complete picture of recidivism in general. The present study used data from one specific youth diversion program to test certain hypotheses of sanctioning by developing and testing a model for assigning sanction combinations to certain offenders on the basis of their individual characteristics. The study first developed measurement models for Offender Risk Propensity, Multiplicity of Sanctions, and Recidivism using structural equation modeling (SEM). Then predictive models were developed to test specific relationships. Understanding the effectiveness of certain sanction packages on certain offenders can form the basis for effective sanctioning in youth diversion programs. This study sought to answer three research questions: What is the best way to measure recidivism? Does completion of a restorative justice program reduce recidivism? Which sanctions, if any, reduce recidivism for specific offender types? To answer the first question: a iii multi-indicator latent construct of recidivism did a very good job of measuring variation in recidivism. Multiple indicators analyzed simultaneously produced a robust tool that can be used in other recidivism studies and help to reduce comparability issues between studies. The recidivism construct, when tested as a function of completion of the restorative justice program, was seen to produce a significant model having an overall good fit with the data. Thus to answer the second research question: offenders’ completion status for the restorative justice program was shown to be a significant predictor of the latent construct of recidivism at the 0.05 level (two-tailed), with those who failed to complete (or chose not to participate) having higher recidivism than did those who completed the program. To answer the third research question: the assignment of specific sanctions (both those suggested by research and theory and those traditionally assigned by this and similar programs) on the entire data set (and on various subsets) of this study have no statistically significant impact on recidivism at the 0.05 level (two-tailed). The findings suggest many policy implications. Consistency is all but nonexistent in recidivism measurements in the academic literature and in program review studies. A multi- indicator latent construct of recidivism, such as the one proposed and proven effective in this study, provides a more complete picture than simply conceptualizing recidivism by one dummy variable. This recidivism model can be used as the endogenous variable to evaluate programs and their practices and could reduce the problem of study comparability. This could lead to a better understanding of program characteristics and their impact on offender success. This study also found that completion of the Neighborhood Restorative Justice Program was a significant predictor of recidivism, yet none of the eleven most commonly assigned iv sanctions were seen to have a significant impact on recidivism for any subgroup. Proponents of restorative justice argue that it is the programs’ characteristics and not their specific activities that make the programs successful. Reintegrative Shaming Theory and Labeling Theory support this claim and suggest the best approach to address youth criminal behavior is to admonish the act and not the actor, have the offender and community agree on a plan to make the community whole after that criminal act, and prevent repeated interaction with the formal criminal justice system which encourages the youth to see themself as a deviant and engage in further deviant behavior. These characteristics should be further examined and widely employed if confirmed. Keywords: Restorative justice, recidivism, sanctioning, structural equation modeling v This work is dedicated to the man I most admire, Thomas P. Maroney, Sr., my grandfather. vi ACKNOWLEDGMENTS This work would not have been possible without the guidance of a fantastic committee, especially the chair Thomas T. H. Wan, the data provided by Bryan McGuiness of the Ninth Judicial Circuit Court’s Restorative Justice Program, and the support of friends and family. Thank you all. vii TABLE OF CONTENTS LIST OF FIGURES ...................................................................................................................... xii LIST OF TABLES ....................................................................................................................... xiv LIST OF ACRONYMS/ABREVIATIONS ................................................................................ xvii CHAPTER 1: STUDY PROBLEM ................................................................................................ 1 Introduction ................................................................................................................................. 1 Research Problem ....................................................................................................................... 5 Nomenclature .............................................................................................................................. 6 Significance of Research Problem .............................................................................................. 7 Weaknesses in Current Research ................................................................................................ 9 Specific Research Questions ..................................................................................................... 11 CHAPTER 2: LITERATURE REVIEW ...................................................................................... 12 Theoretical Focus and Informed Perspective ............................................................................ 12 Contingency Theory .............................................................................................................. 13 System Theory ...................................................................................................................... 13 Punishment Philosophies and Related Assumptions ............................................................ 14 Application of Literature and Theory on the Current Study ................................................. 15 Conceptualizing Recidivism ..................................................................................................... 16 States’ Definitions of Recidivism ......................................................................................... 17 Researcher’s Definitions of Recidivism ............................................................................... 18 Reoffending ........................................................................................................................... 19 Time Period Examined ......................................................................................................... 22 Data Sources ......................................................................................................................... 23 Reoffending Severity and Frequency .................................................................................... 23 Case Outcome as a Measure of Recidivism .......................................................................... 24 Reporting

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