The Effects of Sanction Intensity on Criminal Conduct - JDAI Helpdesk

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Appendix B: Systematic Review Coding Protocol A. STUDY LEVEL CODING SHEET Instructions: One study level coding sheet to be used per study. If the study is reported in multiple documents, use the primary publication as the study identifier and list other document numbers below. A1. Study ID: studid A2. Cross-ref document ID: xref1 A3. Cross-ref document ID: xref2 A4. Cross-ref document ID: xref3 A5. Coder initials: coder A6. Date coded: codate A7. Title: title A8. Author(s): author A9. Publication type: pubtype 1. Book 4. Government report (federal) 2. Book chapter 5. Government report (state/local) 3. Peer-reviewed journal article 6. Unpublished (e.g., dissertation, technical 8. Other: report, conference paper A10. Journal ref. (vol., issue): jref A11. Publication year: pubyr A12. Date range <strong>of</strong> research: resdate A13. Country <strong>of</strong> publication: publoc A14. Country <strong>of</strong> study setting: resloc A15. Number <strong>of</strong> treatment-comparison contrasts in report: mods Only independent treatment group samples should be counted; see Instructions for Section B. If no comparison group, just complete B. ELIGIBILITY CHECKLIST. A16. Is the same comparison group used in each contrast? cxlmod 0. No 1. Yes 8. N/A 183
B. ELIGIBILITY CHECKLIST B1. First author’s last name: elname B2. Coder initials: coelig B3. Date eligibility determined: eldate To be eligible, a study must meet the following criteria. Answer each question with 1 = Yes, 0 = No. B4. <strong>The</strong> study evaluates an intensive probation or parole program involving increased supervision by probation <strong>of</strong>ficers in a reduced caseload, or low-intensity probation (increased caseload, less supervision). 1. Yes 0. No evpro B5. A difference in probation intensity between the treatment and comparison groups, as evidenced by a change in caseload size, ratio <strong>of</strong> clients to <strong>of</strong>ficers, or other control measures, is a key component <strong>of</strong> the overall program. 1. Yes 0. No evsep B6. <strong>The</strong> study includes a comparison group receiving ‘standard probation,’ not comprised <strong>of</strong> dropouts from ISP/low intensity, or other supervision by probation <strong>of</strong>ficer (not incarcerated controls). Study design may be experimental or quasi-experimental, but not a one-group research design. 1. Yes 0. No evcomp B7. <strong>The</strong> study includes a post-program measure <strong>of</strong> criminal behavior (arrest, conviction) or technical violation <strong>of</strong> probation/parole – may be <strong>of</strong>ficial or self-reported and dichotomous or continuous. 1. Yes 0. No evoutc For documents that do not meet the above criteria, answer the following questions: B8. Document is not a quantitative evaluation (no data regarding effects <strong>of</strong> ISP/LIP reported). 1. Yes 0. No evndat B9. Document is a review article relevant to this project (e.g., references to studies, background information for write-up). 1. Yes 0. No evusef B10. Document status (circle one): elstat 1. Eligible 0. Not eligible 9. Relevant review Notes: 184
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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
Page 147 and 148: sensitivity of the
Page 149 and 150: Programs should be designed to adhe
Page 151 and 152: weight information in an appropriat
Page 153 and 154: statistical model that would predic
Page 155 and 156: The Philadelphia m
Page 157 and 158: assignment pool. Backfill probation
Page 159 and 160: Little research has been done on th
Page 161 and 162: already predicted to be at low risk
Page 163 and 164: It assumes that if of</stro
Page 165 and 166: involved. Crimes that obviously met
Page 167 and 168: We examine the potential interactio
Page 169 and 170: age is based on this date regardles
Page 171 and 172: obberies. The only
Page 173 and 174: of low-intensity s
Page 175 and 176: classified as low risk. The
Page 177 and 178: All the risk ratios in Table 3.9 in
Page 179 and 180: 0.55. Raising the threshold results
Page 181 and 182: are partly selected on the basis <s
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: combination. The s
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 and 222: Study Los Angeles CA 2005 (Zhang &
Page 223 and 224: Fed. Prob., 56, 12-17. Turner, Pete
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 =
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BIBLIOGRAPHY Chapter 1 ** Denotes t
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Cook, T. D., & Campbell, D. T. (197
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Glaze, L. E, & Bonczar, T. P. (2009
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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
Page 275 and 276:
Federal Bureau of
Page 277 and 278:
Marsh, K., & Fox, C., (2008). <stro
Page 279:
Sherman, L. W. (1993). Defiance, de
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