The Effects of Sanction Intensity on Criminal Conduct - JDAI Helpdesk

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Articles Containing Supplementary Details <strong>of</strong> Included Studies Main Study Reference Deschenes, Turner, & Petersilia (1995) Fagan & Reinarman (1986) Folkard, Smith, & Smith (1976) Guydish et al. (2008) Pearson (1988) Additional Documents Deschenes et al. (1995). A dual experiment in intensive community supervision: Minnesota’s prison diversion and enhanced supervised release programs. Pris. J., 75, 330-56. Fagan & Reinarman (1991) <strong>The</strong> social context <strong>of</strong> intensive supervision: organizational and ecological influences on community treatment. In Armstrong (ed.): Intensive interventions with high-risk youths: promising approaches in juvenile probation and parole, 341-394. Folkard et al. (1974). IMPACT Intensive Matched Probation and After-Care Treatment. Volume I: <strong>The</strong> design <strong>of</strong> the probation experiment and an interim evaluation. Home Office Research Study 24. London: HMSO. Chan et al. (2005). Evaluation <strong>of</strong> Probation Case Management (PCM) for drug-involved women <strong>of</strong>fenders. Crime & Delinquency, 51, 447-69. Pearson (1985). New Jersey’s Intensive Supervision Program: a progress report. Crime & Delinquency, 31, 393- 410. Pearson & Bibel (1986). New Jersey’s Intensive Supervision Program: What is it like? How is it working? Fed. Prob. 50, 25-31. Petersilia & Turner (1990) Pearson (1987). Final report <strong>of</strong> research on New Jersey’s Intensive Supervision Program. Rutgers University. Petersilia (1989). Implementing randomized experiments: lessons from BJA’s intensive supervision project. Eval. Rev., 13, 435-458. Petersilia & Turner (1990). Comparing intensive and regular supervision for high-risk probationers: early results from an experiment in California. Crime & Delinq., 36, 87- 111. Petersilia & Turner (1991). An evaluation <strong>of</strong> intensive probation in California. J. Crim. L. Criminol., 82, 610-58. Petersilia, Turner, & Deschenes (1992b) Petersilia & Turner (1993). Intensive probation and parole. Crime & Just., 17, 281-335. Petersilia, Turner, & Deschenes (1992). <strong>The</strong> costs and effects <strong>of</strong> intensive supervision for drug <strong>of</strong>fenders. 207
Fed. Prob., 56, 12-17. Turner, Petersilia, & Deschenes (1992). Evaluating Intensive Supervision Probation/Parole (ISP) for drug <strong>of</strong>fenders. Crime & Delinq., 38, 539-556. Sontheimer & Goodstein (1993) Taxman, Yancey, & Bilanin (2006) Petersilia & Turner (1993). Evaluating Intensive Supervision Probation/Parole: results <strong>of</strong> a nationwide experiment. NIJ Research in Brief. Goodstein & Sontheimer (1997). <strong>The</strong> implementation <strong>of</strong> an intensive aftercare program for serious juvenile <strong>of</strong>fenders: a case study. Crim. Just. Behav., 24, 332-59. Sachwald, Eley, & Taxman (2006). An ounce <strong>of</strong> prevention: proactive community supervision reduces violation behavior. Topics in Community Corrections, 31-8. Taxman (2006). A behavioral management approach to supervision: preliminary findings from Maryland’s Proactive Community Supervision (PCS) pilot program. Committee on Law & Just./Nat. Res. Council. Taxman (2006). <strong>The</strong> role <strong>of</strong> community supervision in addressing reentry from jails. Urban Institute/John Jay College/Montgomery Co., MD Reentry Roundtable. Taxman (2007). Reentry and supervision: one is impossible without the other. Corrections Today (April), 98-105. Wiebush et al. (2005) Taxman (2008). No illusions: <strong>of</strong>fender and organizational change in Maryland’s Proactive Community Supervision efforts. Crim. Pub. Pol., 7, 275-302. Wiebush, McNulty, & Le (2000). Implementation <strong>of</strong> the Intensive community-based Aftercare Program. OJJDP Juvenile Justice Bulletin. U.S. Dept. <strong>of</strong> Justice, Office <strong>of</strong> Justice Programs. 208
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University of Penn
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In memory of Edwar
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Janel McCaffrey and Knakiya Hagans,
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traditional practice, we find no ev
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Methodology .......................
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LIST OF FIGURES Figure 1.1: Effect
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intensity makes no difference to re
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isk of committing
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impact of probatio
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which perhaps suggests that ISP is
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program intended to reduce the stra
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supervision with probation
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3. To what extent do the risk/need
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Methods Scale (SMS: Farrington et a
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Types of Outcomes
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Description of met
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actual behavior. We analyze technic
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Treatment of quali
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treatment group, and those to the r
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Discussion of Resu
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were evaluated in the same report (
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direction of effec
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To what extent does program philoso
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Which other components of</
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.450; technical violations: Q B < .
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it should be noted that those progr
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up in unpublished reports than thos
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violations first went before a judg
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2 One U.S. estimate indicates that
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Tables Table 1.1: Characteristics <
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Table 1.3: Moderator Variable <stro
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Table 1.4: Moderator Variable <stro
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Figures Figure 1.1: Effect
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Figure 1.5: Effect of</stro
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CHAPTER 2. ‘Low-Intensity
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What Works in Probation Supervision
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to do with it. Furthermore, the mor
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to the New York City and Oregon stu
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Barnes et al. (forthcoming) have su
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paradox.” He suggests that ‘not
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fatal shootings in Philadelphia are
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the proportions of
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Interventions and Follow-Up Probati
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officers more <str
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1. Does the effect of</stro
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all, resulting in a large number <s
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Differential treatment take-up and
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control group members who received
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effect of LIS on r
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incarcerated must also be removed f
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offenders in our s
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ecidivists in the sample, 77 commit
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(IRR = 1.41, p ≤ .107). SES did n
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probability of fai
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The count model ou
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estimate is also practically identi
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twice the risk of
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an end. On the other hand, research
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low-intensity supervision would imp
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Conclusion The aim
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We found that low-risk of</
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7 LIS participants who were transfe
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Tables Table 2.1: Sample Characteri
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Table 2.3: Frequency of</st
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Table 2.5: Instrumental Variables M
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Table 2.7: Prevalence of</s
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Table 2.9: Time to Failure (Violent
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Table 2.12: Treatment Effect by Sub
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Table 2.14: Frequency of</s
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Table 2.16: Instrumental Variables
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Figures Figure 2.1: Risk-Based Allo
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Figure 2.5: Survival Time for LIS E
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CHAPTER 3. Risk Prediction for Effe
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sensitivity of the
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Programs should be designed to adhe
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weight information in an appropriat
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statistical model that would predic
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The Philadelphia m
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assignment pool. Backfill probation
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Little research has been done on th
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already predicted to be at low risk
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It assumes that if of</stro
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involved. Crimes that obviously met
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We examine the potential interactio
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age is based on this date regardles
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Page 175 and 176: classified as low risk. The
Page 177 and 178: All the risk ratios in Table 3.9 in
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Page 183 and 184: make up the majority of</st
Page 185 and 186: strategy allows probation o
Page 187 and 188: Notes 1 In this study, murder, atte
Page 189 and 190: Table 3.2: Sample Characteristics (
Page 191 and 192: Table 3.6: Predictive Ability at Al
Page 193 and 194: Table 3.9: Post-Random Assignment O
Page 195 and 196: APPENDICES Appendix A: Systematic R
Page 197 and 198: combination. The s
Page 199 and 200: B. ELIGIBILITY CHECKLIST B1. First
Page 201 and 202: Other: txcxloth C6d. Additional pro
Page 203 and 204: D. SAMPLE LEVEL CODING SHEET Instru
Page 205 and 206: E. DEPENDENT VARIABLE CODING SHEET
Page 207 and 208: F14. Comparison group sample size f
Page 209 and 210: weight w is then recalculated (6),
Page 211 and 212: Study Sheffield (Males) 1976 (Folka
Page 213 and 214: Study Dallas TX 1992 (Turner & Pete
Page 215 and 216: Study Minnesota ISR 1995 (Deschenes
Page 217 and 218: Study Clark WA 2003 (Barnoski, 2003
Page 219 and 220: Study Whatcom WA 2003 (Barnoski, 20
Page 221: Study Los Angeles CA 2005 (Zhang &
Page 225 and 226: Study Reference Benekos & Sonnenber
Page 227 and 228: Study Reference Giblin (2002) Using
Page 229 and 230: Study Reference Lasater et al. (n.d
Page 231 and 232: Study Reference Robertson (2000) Co
Page 233 and 234: Study Reference Turner & Greene (19
Page 235 and 236: Appendix E: Philadelphia APPD Low-<
Page 237 and 238: Prevalence of Reci
Page 239 and 240: Frequency of Recid
Page 241 and 242: Instrumental Variables Model: Preva
Page 243 and 244: Instrumental Variables Model: Preva
Page 245 and 246: Post-RA Months in Jail and Probabil
Page 247 and 248: Scaled Schoenfeld Residuals Time =
Page 249 and 250: BIBLIOGRAPHY Chapter 1 ** Denotes t
Page 251 and 252: Cook, T. D., & Campbell, D. T. (197
Page 253 and 254: Glaze, L. E, & Bonczar, T. P. (2009
Page 255 and 256: MacKenzie, D. L. (2006a). What work
Page 257 and 258: Petersilia, J., Turner, S., & Desch
Page 259 and 260: safety first: 13 strategies for suc
Page 261 and 262: Wilson, D. B. (2010). Meta-analysis
Page 263 and 264: Angrist, J. D. (2006). Instrumental
Page 265 and 266: Clear, T. R., & Hardyman, P. L. (19
Page 267 and 268: period266.pdf Lowenkamp, C. T., Lat
Page 269 and 270: Rosch, J. (2006). Deviant peer cont
Page 271 and 272: Taxman, F. S., & Thanner, M. (2006)
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statistical learning. Journal <stro
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Federal Bureau of
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Marsh, K., & Fox, C., (2008). <stro
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Sherman, L. W. (1993). Defiance, de
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