The Effects of Sanction Intensity on Criminal Conduct - JDAI Helpdesk

More documents

Recommendations

Info

Renzema, M., & Mayo-Wilson, E. (2005). Can electronic monitoring reduce crime for moderate to high-risk <strong>of</strong>fenders? Journal <strong>of</strong> Experimental Criminology, 1, 215- 237. doi: 10.1007/s11292-005-1615-1 Rothstein, H. R., & Hopewell, S. (2009). Grey literature. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), <strong>The</strong> handbook <strong>of</strong> research synthesis and meta-analysis (2 nd edition, pp. 103-125). New York, NY: Russell Sage Foundation. Ruth, H., & Reitz, K. R. (2003). <strong>The</strong> challenge <strong>of</strong> crime: Rethinking our response. Cambridge, MA: Harvard University Press. Sherman, L. W., Gottfredson, D., MacKenzie, D., Eck, J., Reuter, P., & Bushway, S. (1997). Preventing crime: What works, what doesn’t, what’s promising. Washington, D.C.: United States Department <strong>of</strong> Justice, National Institute <strong>of</strong> Justice. Retrieved from http://www.ncjrs.gov/works Skeem, J. L., & Manchak, S. (2008). Back to the future: From Klockars’ model <strong>of</strong> effective supervision to evidence-based practice in probation. Journal <strong>of</strong> Offender Rehabilitation, 47, 220-247. doi:10.1080/10509670802134069 Solomon, A. L., Jannetta, J., Elderbroom, B., Winterfield, L., Osborne, J., Burke, P., Stroker, R. P., Rhine, E. E., & Burrell, W. D. (2008, December 2). Putting public 243
safety first: 13 strategies for successful supervision and reentry. Policy brief. Retrieved January 26, 2009, from Urban Institute website: http://www.urban.org/ /url.cfm?ID=411800 ** Sontheimer, H., & Goodstein, L. (1993). An evaluation <strong>of</strong> juvenile intensive aftercare probation: aftercare versus system response effects. Justice Quarterly, 10, 197- 227. Retrieved from http://www.heinonline.org/HOL/Page?handle=hein.journals/ jquart10&id=1&size=2&collection=journals&index=journals/jquart Taxman, F. S. (2002). Supervision: Exploring the dimensions <strong>of</strong> effectiveness. Federal Probation, 66(2), 14-27. Retrieved from http://www.uscourts.gov/fedprob/ 2002sepfp.pdf Taxman, F. S. (2008a). To be or not to be: Community supervision déjà vu. Journal <strong>of</strong> Offender Rehabilitation, 47, 209-219. doi:10.1080/10509670802134036 Taxman, F. S. (2008b). No illusions: Offender and organizational change in Maryland’s proactive community supervision efforts. Criminology & Public Policy, 7, 275- 302. doi:10.1111/j.1745-9133.2008.00508.x Taxman, F. S., & Thanner, M. (2006). Risk, need, and responsivity (RNR): It all depends. Crime & Delinquency, 52(1), 28-51. doi:10.1177/0011128705281754 244
Page 1 and 2:
University of Penn
Page 3 and 4:
In memory of Edwar
Page 5 and 6:
Janel McCaffrey and Knakiya Hagans,
Page 7 and 8:
traditional practice, we find no ev
Page 9 and 10:
Methodology .......................
Page 11 and 12:
LIST OF FIGURES Figure 1.1: Effect
Page 13 and 14:
intensity makes no difference to re
Page 15 and 16:
isk of committing
Page 17 and 18:
impact of probatio
Page 19 and 20:
which perhaps suggests that ISP is
Page 21 and 22:
program intended to reduce the stra
Page 23 and 24:
supervision with probation
Page 25 and 26:
3. To what extent do the risk/need
Page 27 and 28:
Methods Scale (SMS: Farrington et a
Page 29 and 30:
Types of Outcomes
Page 31 and 32:
Description of met
Page 33 and 34:
actual behavior. We analyze technic
Page 35 and 36:
Treatment of quali
Page 37 and 38:
treatment group, and those to the r
Page 39 and 40:
Discussion of Resu
Page 41 and 42:
were evaluated in the same report (
Page 43 and 44:
direction of effec
Page 45 and 46:
To what extent does program philoso
Page 47 and 48:
Which other components of</
Page 49 and 50:
.450; technical violations: Q B < .
Page 51 and 52:
it should be noted that those progr
Page 53 and 54:
up in unpublished reports than thos
Page 55 and 56:
violations first went before a judg
Page 57 and 58:
2 One U.S. estimate indicates that
Page 59 and 60:
Tables Table 1.1: Characteristics <
Page 61 and 62:
Table 1.3: Moderator Variable <stro
Page 63 and 64:
Table 1.4: Moderator Variable <stro
Page 65 and 66:
Figures Figure 1.1: Effect
Page 67 and 68:
Figure 1.5: Effect of</stro
Page 69 and 70:
CHAPTER 2. ‘Low-Intensity
Page 71 and 72:
What Works in Probation Supervision
Page 73 and 74:
to do with it. Furthermore, the mor
Page 75 and 76:
to the New York City and Oregon stu
Page 77 and 78:
Barnes et al. (forthcoming) have su
Page 79 and 80:
paradox.” He suggests that ‘not
Page 81 and 82:
fatal shootings in Philadelphia are
Page 83 and 84:
the proportions of
Page 85 and 86:
Interventions and Follow-Up Probati
Page 87 and 88:
officers more <str
Page 89 and 90:
1. Does the effect of</stro
Page 91 and 92:
all, resulting in a large number <s
Page 93 and 94:
Differential treatment take-up and
Page 95 and 96:
control group members who received
Page 97 and 98:
effect of LIS on r
Page 99 and 100:
incarcerated must also be removed f
Page 101 and 102:
offenders in our s
Page 103 and 104:
ecidivists in the sample, 77 commit
Page 105 and 106:
(IRR = 1.41, p ≤ .107). SES did n
Page 107 and 108:
probability of fai
Page 109 and 110:
The count model ou
Page 111 and 112:
estimate is also practically identi
Page 113 and 114:
twice the risk of
Page 115 and 116:
an end. On the other hand, research
Page 117 and 118:
low-intensity supervision would imp
Page 119 and 120:
Conclusion The aim
Page 121 and 122:
We found that low-risk of</
Page 123 and 124:
7 LIS participants who were transfe
Page 125 and 126:
Tables Table 2.1: Sample Characteri
Page 127 and 128:
Table 2.3: Frequency of</st
Page 129 and 130:
Table 2.5: Instrumental Variables M
Page 131 and 132:
Table 2.7: Prevalence of</s
Page 133 and 134:
Table 2.9: Time to Failure (Violent
Page 135 and 136:
Table 2.12: Treatment Effect by Sub
Page 137 and 138:
Table 2.14: Frequency of</s
Page 139 and 140:
Table 2.16: Instrumental Variables
Page 141 and 142:
Figures Figure 2.1: Risk-Based Allo
Page 143 and 144:
Figure 2.5: Survival Time for LIS E
Page 145 and 146:
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 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 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 =
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: Petersilia, J., Turner, S., & Desch
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)
Page 273 and 274: 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
show all

The Effects of Sanction Intensity on Criminal Conduct - JDAI Helpdesk

Create successful ePaper yourself

Delete template?

Save as template?