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Articles

Time for a Change: Examining the Relationships between Recidivism-Free Time, Recidivism Risk, and Risk Assessment

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Pages 1156-1179 | Received 28 Mar 2020, Accepted 14 Jul 2021, Published online: 12 Oct 2021

References

  • Andrews, D. A. (2006). Enhancing adherence to risk-need-responsivity: Making quality a matter of policy. Criminology & Public Policy, 5(3), 595–602. https://doi.org/10.1111/j.1745-9133.2006.00394.x
  • Austin, J., Coleman, D., Peyton, J., & Johnson, K. D. (2003). Reliability and validity study of the LSI-R risk assessment instrument: Final report submitted to the Pennsylvania Board of Probation and Parole. Washington, DC: The Institute on Crime, justice, and Corrections at the George Washington University.
  • Baglivio, M. T., Wolff, K. T., Piquero, A. R., Howell, J. C., & Greenwald, M. A. (2017). Risk assessment trajectories of youth during juvenile justice residential placement: Examining risk, promotive, and “buffer” scores. Criminal Justice and Behavior, 44(3), 360–394. https://doi.org/10.1177/0093854816668918
  • Baird, C. (2009). A question of evidence: A critique of risk assessment models used in the justice system. National Council on Crime and Delinquency.
  • Bennett, D. S. (1999). Parametric models, duration dependence, and time-varying data revisited. American Journal of Political Science, 43(1), 256–270. https://doi.org/10.2307/2991793
  • Blumstein, A., Farrington, D. P., & Moitra, S. (1985). Delinquency careers: Innocents, desisters, and persisters. In Michael Tonry and Norval Morris (Eds.), Crime and justice: An annual review of research (Vol. 6). University of Chicago Press.
  • Blumstein, A., & Nakamura, K. (2009). Redemption in the presence of widespread background checks. Criminology, 47(2), 327–359. https://doi.org/10.1111/j.1745-9125.2009.00155.x
  • Bonta, J. (1996). Risk-needs assessment and treatment. In A. T. Harland (Ed.), Choosing correctional options that work: Defining the demand and evaluating the supply (pp. 18–32). Sage.
  • Bonta, J., & Andrews, D. A. (2017). The psychology of criminal conduct (6th ed.). Routledge.
  • Box-Steffensmeier, J. M., & Jones, B. S. (1997). Time is of the essence: Event history models in political science. American Journal of Political Science, 41 (4), 1414–1461. https://doi.org/10.2307/2960496
  • Brame, R. (2017). Static risk factors and criminal recidivism. In Faye S. Taxman (Eds.), Handbook on risk and need assessment: Theory and practice. The ASC division on corrections & sentencing handbook series. Routledge.
  • Brame, R., Mulvey, E. P., Schubert, C. A., & Piquero, A. R. (2018). Recidivism in a sample of serious adolescent offenders. Journal of Quantitative Criminology, 34(1), 167–187. https://doi.org/10.1007/s10940-016-9329-2
  • Bronson, J., & Carson, E. A. (2019). Prisoners in 2017 (NCJ 252156). Bureau of Justice Statistics.
  • Brown, S. L., St. Amand, M. D., & Zamble, E. (2009). The dynamic predictions of criminal recidivism: A three-wave prospective study. Law and Human Behavior, 33(1), 25–45. https://doi.org/10.1007/s10979-008-9139-7
  • Burgess, E. W. (1928). Factors determining success or failure on parole. In Bruce, A.A., Harno, J., Burgess, E.W., & Landesco, E. (Eds.) The working of the indeterminate sentence law and the parole system in Illinois. State Board of Parole.
  • Burrell, W. (2017). Risk and needs assessments in probation and parole: The persistent gap between promise and practice. In F.S. Taxman, (Ed.), Handbook on risk and need assessment: Theory and practice. American Society of Criminology Division of Sentencing and Corrections.
  • Bushway, S. D., & Smith, J. (2007). Sentencing using statistical treatment rules: what we don't know can hurt us. Journal of Quantitative Criminology, 23(4), 377–387.
  • Bushway, S. D., & Apel, R. (2012). A signaling perspective on employment‐based reentry programming. Criminology & Public Policy, 11(1), 21–50. https://doi.org/10.1111/j.1745-9133.2012.00786.x
  • Bushway, S. D., Nieuwbeerta, P., & Blokland, A. (2011). The predictive value of criminal background checks: Do age and criminal history affect time to redemption? Criminology, 49(1), 27–60. https://doi.org/10.1111/j.1745-9125.2010.00217.x
  • Bushway, S. D., Piquero, A., Broidy, L. M., Cauffman, E., & Mazerolle, P. (2001). An empirical framework for studying desistance as a process. Criminology, 39(2), 491–516. https://doi.org/10.1111/j.1745-9125.2001.tb00931.x
  • Butler, A. W. (1910). Treatment of the released prisoner. Journal of the American Institute of Criminal Law and Criminology, 1(3), 403–410. https://doi.org/10.2307/1132764
  • Byrne, J. M., & Dezember, A. (2017). The research director perspective on the design, implementation, and impact of risk assessment and offender classification systems in USA prisons: A national survey. In Taxman, F.S. (Ed.), Handbook on risk and need assessment: Theory and practice. American Society of Criminology Division of Sentencing and Corrections.
  • Byrne, J., & Pattavina, A. (2006). Assessing the role of clinical and actuarial risk assessment in an evidence-based community corrections system: Issues to consider. Federal Probation, 70, 64.
  • Cohen, T. H., Lowenkamp, C. T., & Van Benschoten, S. W. (2016). Does change in risk matter? Examining whether changes in offender risk characteristics influence recidivism outcomes. Criminology & Public Policy, 15(2), 263–296. https://doi.org/10.1111/1745-9133.12190
  • Costanza, S. E., Cox, S. M., & Kilburn, J. C. (2015). The impact of halfway houses on parole success and recidivism. Journal of Sociological Research, 6(2), 39–55. https://doi.org/10.5296/jsr.v6i2.8038
  • Cullen, F. T. (2013). Rehabilitation: Beyond nothing works. Crime and Justice, 42(1), 299–376. https://doi.org/10.1086/670395
  • Desmarais, S. L., & Singh, J. P. (2013). Risk assessment instruments validated and implemented in correctional settings in the United States. Council of State Government Justice Center.
  • Durose, M. R., Cooper, A. D., & Snyder, H. N. (2014). Recidivism of prisoners released in 30 states in 2005: Patterns from 2005 to 2010. Washington, DC: Bureau of Justice Statistics, U.S. Department of Justice.
  • Eckhouse, L., Lum, K., Conti-Cook, C., & Ciccolini, J. (2019). Layers of bias: A unified approach for understanding problems with risk assessment. Criminal Justice and Behavior, 46(2), 185–209. https://doi.org/10.1177/0093854818811379
  • Flores, A. W., Holsinger, A. M., Lowenkamp, C. T., & Cohen, T. H. (2017). Time-free effects in predicting recidivism using both fixed and variable follow-up periods: Do different methods produce different results. Criminal Justice and Behavior, 44(1), 121–137. https://doi.org/10.1177/0093854816678649
  • Gottfredson, S. D., & Gottfredson, D. M. (1985). Selective incapacitation. ? The Annals of the American Academy of Political and Social Science, 478(1), 135–149. https://doi.org/10.1177/0002716285478001012
  • Grattet, R., & Lin, J. (2016). Supervision intensity and parole outcomes: A competing risks approach to criminal and technical parole violations. Justice Quarterly, 33(4), 565–583. https://doi.org/10.1080/07418825.2014.932001
  • Hannah-Moffat, K. (2013). Actuarial sentencing: An “unsettled” proposition. Justice Quarterly,30(2), 270–296.
  • Hanson, R. K., Harris, A. J. R., Helmus, L., & Thornton, D. (2014). High-risk sex offenders may not be high risk forever. Journal of Interpersonal Violence, 29(15), 2792–2813. https://doi.org/10.1177/0886260514526062
  • Hanson, R. K., Harris, A. J. R., Letourneau, E., Helmus, L. M., & Thornton, D. (2018). Reductions in risk based on time offense-free in the community: Once a sexual offender, not always a sexual offender. Psychology, Public Policy, and Law, 24(1), 48–63. https://doi.org/10.1037/law0000135
  • Harris, G. T., & Rice, M. E. (2007). Adjusting actuarial violence risk assessments based on aging or the passage of time. Criminal Justice and Behavior, 34(3), 297–313. https://doi.org/10.1177/0093854806293486
  • Hipp, J. R., & Yates, D. K. (2009). Do returning parolees affect neighborhood crime? A case study of Sacramento. Criminology, 47(3), 619–656. https://doi.org/10.1111/j.1745-9125.2009.00166.x
  • Hoffman, P. B., & Stone-Meierhoefer, B. (1977). Post release arrest experiences of federal prisoners: A six-year follow-up. United States Parole Commission Research Unit, U.S. Department of Justice.
  • Kaeble, D., & Bonczar, T. P. (2016). Probation and parole in the United States, 2015. Bureau of Justice Statistics, U.S. Department of Justice.
  • Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2018). Human decisions and machine predictions. The Quarterly Journal of Econ, 133(1), 237–293.
  • Kramer, J., Silver, E., VanEseltine, M., Ortega, C., & Rutkowski, A. (2008). Evaluation of the Pennsylvania Board of Probation and Parole7hx0027;s violation sanction grid. Final Report.
  • Kurlychek, M. C., Brame, R., & Bushway, R. D. (2006). Scarlet letters and recidivism: Does an old criminal record predict future offending? Criminology & Public Policy, 5(3), 483–504. https://doi.org/10.1111/j.1745-9133.2006.00397.x
  • Kurlychek, M. C., Bushway, S. D., & Brame, R. (2012). Long-term crime desistance and recidivism patterns – Evidence from the Essex County convicted felon study. Criminology, 50, 71–103.
  • Labrecque, R. M., Smith, P., Lovins, B. K., & Latessa, E. J. (2014). The importance of reassessment: How changes in the LSI-R risk score can improve the prediction of recidivism. Journal of Offender Rehabilitation, 53(2), 116–128. https://doi.org/10.1080/10509674.2013.868389
  • Lipsey, M. W., & Cullen, F. T. (2007). The effectiveness of correctional rehabilitation: A review of systematic reviews. Annual Review of Law and Social Science, 3(1), 297–320. https://doi.org/10.1146/annurev.lawsocsci.3.081806.112833
  • Lowenkamp, C. T., & Latessa, E. J. (2002). Evaluation of Ohio's community based correctional facilities and halfway house programs. University of Cincinnati, Division of Criminal Justice, Center for Criminal Justice Research.
  • Maltz, M. D. (1984). Recidivism. Academic Press.
  • Nagin, D., & Paternoster, R. (2000). Population heterogeneity and state dependence: State of the evidence and directions for future research. Journal of Quantitative Criminology, 16(2), 117–144. https://doi.org/10.1023/A:1007502804941
  • Nakamura, K., & Bucklen, K. B. (2014). Recidivism, redemption, and desistance: Understanding continuity and change in criminal offending and implications for interventions. Sociology Compass, 8(4), 384–397. https://doi.org/10.1111/soc4.12150
  • National Research Council (NRC). (2014). The growth of incarceration in the United States: exploring causes and consequences. Committee on causes and consequences of high rates of incarceration. J. Travis, B. Western, & S. Redburn (Eds.). The National Academies Press.
  • Newson, R. B. (2010). Comparing the predictive powers of survival models using Harrell’s C or Somers’ D. The Stata Journal: Promoting Communications on Statistics and Stata, 10(3), 339–358. https://doi.org/10.1177/1536867X1001000303
  • Ostermann, M. (2009). An analysis of New Jersey's day reporting center and halfway back programs: Embracing the rehabilitative ideal through evidence based practices. Journal of Offender Rehabilitation, 48(2), 139–153. https://doi.org/10.1080/10509670802640958
  • Paternoster, R., & Bushway, S. (2009). Desistance and the "feared self": Toward an identity theory of criminal desistance. The Journal of Criminal Law and Criminology, 99(4), 1103–1156.
  • Pennsylvania Board of Probation and Parole (PBPP). (2012). Violations and sanctions grid. Pennsylvania Board of Probation & Parole.
  • Pennsylvania Board of Probation and Parole (PBPP). (2013). Supervision, reentry (No. 4.01.12). Pennsylvania Board of Probation & Parole.
  • Pennsylvania Board of Probation and Parole (PBPP). (2014). Supervision, reentry: Initial supervision requirements (No. 4.01.03). Pennsylvania Board of Probation & Parole.
  • Pennsylvania Department of Corrections (PADOC). (2009). Annual Statistical Report. Pennsylvania Department of Corrections.
  • Petersilia, J. (2007). Employ behavioral contracting for “earned discharge” parole. Criminology & Public Policy, 6(4), 807–814. https://doi.org/10.1111/j.1745-9133.2007.00472.x
  • Pew Charitable Trusts. (2016). Missouri policy shortens probation and parole terms, protects public safety. Pew Center on the States, Pew Charitable Trusts.
  • Pew Charitable Trusts. (2017). State reforms reverse decades of incarceration growth. Pew Center on the States, Pew Charitable Trusts.
  • Prochaska, J. O., DiClemente, C. C., & Norcross, J. C. (1993). In search of how people change: Applications to addictive behaviors. Journal of Addictions Nursing, 5(1), 2–16. https://doi.org/10.3109/10884609309149692
  • Raynor, P. (2007). Risk and need assessment in British probation: The contribution of the LSI-R. Psychology, Crime & Law, 13(2), 125–138. https://doi.org/10.1080/10683160500337592
  • Rodrıguez, G. (2010). Parametric survival models. Rapport technique, Princeton: Princeton University. retrieved from: https://data.princeton.edu/pop509/ParametricSurvival.pdf
  • Ruhland, E. L., Rhine, E. E., Robey, J. P., & Mitchell, K. L. (2017). The continuing leverage of releasing authorities: Findings from a national survey. Robina Institute.
  • Sampson, R. J., & Laub, J. H. (1993). Crime in the making: Pathways and turning points through life. Harvard University Press.
  • Silver, E., & Miller, L. L. (2002). A cautionary note on the use of actuarial risk assessments tools for social control. Crime & Delinquency, 48(1), 138–161. https://doi.org/10.1177/0011128702048001006
  • Sundt, J., Salisbury, E. J., & Harmon, M. G. (2016). Is downsizing prisons dangerous? The effect of California's realignment act on public safety. Criminology & Public Policy, 15(2), 315–341. https://doi.org/10.1111/1745-9133.12199
  • Tonry, M. (2014). Remodeling American sentencing: A ten-step blueprint for moving past mass incarceration. Criminology & Public Policy, 13(4), 503–533. https://doi.org/10.1111/1745-9133.12097
  • Vose, B., Smith, P., & Cullen, F. T. (2013). Predictive validity and the impact of change in total LSI-R score on recidivism. Criminal Justice and Behavior, 40(12), 1383–1396. https://doi.org/10.1177/0093854813508916
  • Ward, T. (2015). Detection of dynamic risk factors and correctional practice. Criminology & Public Policy, 14(1), 105–111. https://doi.org/10.1111/1745-9133.12115
  • Watts, A., Klingele, C., Reitz, K., Rhine, E., & Alper, M. (2016). Profiles in parole release & revocation: Pennsylvania. Robina Institute.
  • Wong, J. S., Bouchard, J., Gushue, K., & Lee, C. (2019). Halfway out: An examination of the effects of halfway houses on criminal recidivism. International Journal of Offender Therapy and Comparative Criminology, 63(7), 1018–1037. https://doi.org/10.1177/0306624X18811964
  • Wooditch, A., Tang, L. L., & Taxman, F. S. (2014). Which criminogenic need changes are most important in promoting desistance from crime and substance use? Criminal justice and Behavior, 41(3), 276–299. https://doi.org/10.1177/0093854813503543

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