Predicting Short-Term Parole Outcome in Substance Abusing Offenders with the Lifestyle Criminality Screening Form

References

• Allison, P. D. (2002). Missing data. Sage.
   Google Scholar
• Andrews, D. A., & Bonta, J. L. (1995). The level of service inventory-revised. Multi-Health Systems.
   Google Scholar
• Bonta, J., & Andrews, D. (2017). The psychology of criminal conduct. (6th ed.). Routledge.
   Google Scholar
• Braithwaite, H., Lavery, T., Westfall, H., & Turner, S. (2016). Are female parolees different? Results from a workload study. Center for Evidence-Based Corrections, University of California.
   Google Scholar
• Budanovac, A., & Jandrić, A. (2007). Evaluation of lifestyle criminality screening form in Croatian prison system. Hrvatska Revija za Rehabilitacijska Istraživanja, 43, 17–27.
   Google Scholar
• Burke, P. B., & Adams, L. (1992). Classification of women offenders in state correctional facilities: A handbook. National Institute of Corrections, U. S. Department of Justice.
   Google Scholar
• Collins, L. M., Schafer, J. L., & Kam, C. M. (2001). A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychological Methods, 6(4), 330–351.
   PubMed Web of Science ®Google Scholar
• de Vogel, V., & Nicholls, T. L. (2016). Gender matters: An introduction to the special issues on women and girls. International Journal of Forensic Mental Health, 15(1), 1–25. https://doi.org/10.1080/14999013.2016.1141439
   Web of Science ®Google Scholar
• Fazel, S., Yoon, I. A., & Hayes, A. J. (2017). Substance use disorders in prisoners: An updated systematic review and meta-regression analysis in recently incarcerated men and women. Addiction (Abingdon, England)), 112(10), 1725–1739. https://doi.org/10.1111/add.13877
   PubMed Web of Science ®Google Scholar
• Geraghty, K. A., & Woodhams, J. (2015). The predictive validity of risk assessment tools for female offenders: A systematic review. Aggression and Violent Behavior, 21, 25–38. https://doi.org/10.1016/j.avb.2015.01.002
   Web of Science ®Google Scholar
• Ghosh-Dastidar, B., Longshore, D. L., Ellickson, P. L., & McCaffrey, D. F. (2004). Modifying pro-drug risk factors in adolescents: Results from Project ALERT. Health Education & Behavior: The Official Publication of the Society for Public Health Education, 31(3), 318–334. https://doi.org/10.1177/1090198104263333
   PubMed Web of Science ®Google Scholar
• Hare, R. D. (1991). The hare psychopathy checklist-revised (manual). Multi-Health Systems.
   Google Scholar
• Harris, G. T., Rice, M. E., & Quinsey, V. L. (1993). Violent recidivism of mentally disordered offenders: The development of a statistical prediction instrument. Criminal Justice and Behavior, 20(4), 315–335. https://doi.org/10.1177/0093854893020004001
   Web of Science ®Google Scholar
• Heilbrun, K. (2009). Evaluation for risk of violence in adults. Oxford.
   Google Scholar
• Hoffman, P. B., & Beck, J. L. (1985). Recidivism among released federal prisoners. Criminal Justice and Behavior, 12(4), 501–507. https://doi.org/10.1177/0093854885012004007
   Web of Science ®Google Scholar
• Huizinga, D., & Elliott, D. S. (1986). Reassessing the reliability and validity of self-report delinquency measures. Journal of Quantitative Criminology, 2, 293–327.
   Google Scholar
• IBM. (2019). IBM SPSS statistics for windows. (Version 26.0). IBM Corp.
   Google Scholar
• John, O. P., & Soto, C. J. (2007). The importance of being valid: Reliability and the process of construct validation. In R. W. Robins, R. C. Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality psychology. (pp. 461–494). Guilford.
   Google Scholar
• Knight, K., Simpson, D. D., & Hiller, M. L. (2002). Screening and referral for substance-abuse treatment in the criminal justice system. In C. G. Leukefeld, F. Tims, & D. Farabee (Eds.), Treatment of drug offenders: Policies and issues. (pp. 259–272). Springer.
   Google Scholar
• Kroner, D. G., & Mills, J. F. (2001). The accuracy of five risk appraisal instruments in predicting institutional misconduct and new convictions. Criminal Justice and Behavior, 28(4), 471–489. https://doi.org/10.1177/009385480102800405
   Web of Science ®Google Scholar
• Lagan, P. A., & Levin, D. J. (2002). Recidivism of prisoners released in 1994. Bureau of Justice Statistics Special Report (NCJ 193427). Office of Justice Programs.
   Google Scholar
• Lowenkamp, C. T., Latessa, E. J., & Holsinger, A. M. (2006). The risk principle in action: What have we learned from 13,676 offenders and 97 correctional programs? Crime & Delinquency, 52(1), 77–93. https://doi.org/10.1177/0011128705281747
   Web of Science ®Google Scholar
• Markman, J. A., Durose, M. R., & Rantala, R. R, & Tiedt, A. D. (2016). Recidivism of offenders placed on federal community supervision in 2005; Patterns from 2005 to 2010. Bureau of Justice Statistics Special Report (NCJ 249743). Office of Justice Programs, U.S. Department of Justice.
   Google Scholar
• Mills, J. F., & Gray, A. L. (2013). Two-tiered violence risk estimates: A validation study of an integrated-actuarial risk assessment instrument. Psychological Services, 10(4), 361–371. https://doi.org/10.1037/a0032608
   PubMed Web of Science ®Google Scholar
• Mowen, T. J., Wodahl, E., Brent, J. J., & Garland, B. (2018). The role of sanctions and incentives in promoting successful reentry: Evidence from the SVORI data. Criminal Justice and Behavior, 45(8), 1288–1307. https://doi.org/10.1177/0093854818770695
   Web of Science ®Google Scholar
• Muthén, B., & Muthén, L. (2017). Mplus user’s guide. (8th ed.). Muthén and Muthén.
   Google Scholar
• Nordstrom, B. R., & Dackis, C. A. (2011). Drugs and crime. The Journal of Psychiatry & Law, 39(4), 663–687. https://doi.org/10.1177/009318531103900407
   Google Scholar
• Prendergast, M., Frisman, L., Sacks, J. Y., Staton-Tindall, M., Greenwell, L., Lin, H.-J., & Cartier, J. (2011). A multi-site, randomized study of strengths-based case management with substance-abusing parolees. Journal of Experimental Criminology, 7(3), 225–253. https://doi.org/10.1007/s11292-011-9123-y
   PubMed Web of Science ®Google Scholar
• Prendergast, M., Greenwell, L., Cartier, J., Sacks, J., Frisman, L., Rodis, E., & Havens, J. R. (2009). Adherence to scheduled sessions in a randomized field trial of case management: The criminal justice-drug abuse treatment studies transitional case management study. Journal of Experimental Criminology, 5(3), 273–297. https://doi.org/10.1007/s11292-009-9077-5
   PubMed Web of Science ®Google Scholar
• Rice, M. E., & Harris, G. T. (2005). Comparing effect sizes in follow-up studies: ROC area, Cohen’s d, and r. Law and Human Behavior, 29(5), 615–620. https://doi.org/10.1007/s10979-005-6832-7
   PubMed Web of Science ®Google Scholar
• Smid, W. J., Kamphuis, J. H., Wever, E. C., & Van Beek, D. J. (2016). A quasi-experimental evaluation of high-intensity inpatient sex offender treatment in the Netherlands. Sexual Abuse: A Journal of Research and Treatment, 28(5), 469–485. https://doi.org/10.1177/1079063214535817
   PubMed Web of Science ®Google Scholar
• Sperber, K. G., Latessa, E. J., & Makarios, M. D. (2013). Examining the interaction between level of risk and dosage of treatment. Criminal Justice and Behavior, 40(3), 338–348. https://doi.org/10.1177/0093854812467942
   Web of Science ®Google Scholar
• Stansfield, R., Mowen, T. J., & O’Connor, T. (2018). Religious and spiritual support, reentry, and risk. Justice Quarterly, 35(2), 254–279. https://doi.org/10.1080/07418825.2017.1306629
   Web of Science ®Google Scholar
• Strathdee, S. A., Ricketts, E. P., Huettner, S., Cornelius, L., Bishai, D., Havens, J. R., Beilenson, P., Rapp, C., Lloyd, J. J., & Latkin, C. A. (2006). Facilitating entry into drug treatment among injection drug users referred from a needle exchange program: Results from a community-based behavioral intervention trial. Drug and Alcohol Dependence, 83(3), 225–232. https://doi.org/10.1016/j.drugalcdep.2005.11.015
   PubMed Web of Science ®Google Scholar
• Substance Abuse and Mental Health Services Administration (SAMHSA). (2014). The NSDUH Report: Trends I substance use disorders among males aged 18 to 49 on probation or parole.
   Google Scholar
• Sweeten, G. (2012). Scaling criminal offending. Journal of Quantitative Criminology, 28(3), 533–557. https://doi.org/10.1007/s10940-011-9160-8
   Web of Science ®Google Scholar
• Vaughan-Sarrazin, M. S., Hall, J. A., & Rick, G. S. (2000). Impact of case management on use of health services by rural clients in substance abuse treatment. Journal of Drug Issues, 30(2), 435–463. https://doi.org/10.1177/002204260003000210
   Web of Science ®Google Scholar
• Walters, G. D. (1990). The criminal lifestyle: Patterns of serious criminal conduct. Sage.
   Google Scholar
• Walters, G. D. (1991). Predicting the disciplinary adjustment of maximum and minimum security prison inmates using the Lifestyle Criminality Screening Form. International Journal of Offender Therapy and Comparative Criminology, 35(1), 63–71. https://doi.org/10.1177/0306624X9103500106
   Web of Science ®Google Scholar
• Walters, G. D. (1998). The Lifestyle Criminality Screening Form: Psychometric properties and practical utility. Journal of Offender Rehabilitation, 27(3–4), 9–23. https://doi.org/10.1300/J076v27n03_02
   Google Scholar
• Walters, G. D. (2007). Predicting institutional adjustment with the Lifestyle Criminality Screening Form and the Antisocial Features and Aggression scales of the PAI. Journal of Personality Assessment, 88(1), 99–105. https://doi.org/10.1080/00223890709336840
   PubMed Web of Science ®Google Scholar
• Walters, G. D. (2011). Taking the next step: Combining incrementally valid indicators to improve recidivism prediction. Assessment, 18(2), 227–233. https://doi.org/10.1177/1073191110397484
   PubMed Web of Science ®Google Scholar
• Walters, G. D. (2016). Breaking the cycle demonstration project: Using a quasi-experimental analysis to test the “worst of both worlds” hypothesis and risk principle. Journal of Experimental Criminology, 12(1), 127–141. https://doi.org/10.1007/s11292-015-9235-x
   Web of Science ®Google Scholar
• Walters, G. D., & Chlumsky, M. L. (1993). The Lifestyle Criminality Screening Form and antisocial personality disorder: Predicting release outcome in a state prison sample. Behavioral Sciences & the Law, 11(1), 111–115. https://doi.org/10.1002/bsl.2370110109
   PubMed Web of Science ®Google Scholar
• Walters, G. D., & Di Fazio, R. (2016). Psychopathy and the criminal lifestyle: Similarities and differences. In C. B. Gacono (Ed.), The clinical and forensic assessment of psychopathy: A practitioner’s guide. (2nd ed., pp. 433–444). Routledge.
   Google Scholar
• Walters, G. D., & Elliott, W. N. (1999). Predicting release and disciplinary outcome with the Psychological Inventory of Criminal Thinking Styles: Female data. Legal and Criminological Psychology, 4(1), 15–21. https://doi.org/10.1348/135532599167743
   Google Scholar
• Walters, G. D., & McDonough, J. R. (1998). The Lifestyle Criminality Screening Form as a predictor of federal parole/probation/supervised release outcome: A 3-year follow-up. Legal and Criminological Psychology, 3(2), 173–181. https://doi.org/10.1111/j.2044-8333.1998.tb00357.x
   Google Scholar
• Walters, G. D., Revella, L., & Baltrusaitis, W. J. (1990). Predicting parole/probation outcome with the aid of the Lifestyle Criminality Screening Form. Psychological Assessment: A Journal of Consulting and Clinical Psychology, 2(3), 313–316. https://doi.org/10.1037/1040-3590.2.3.313
   Google Scholar
• Walters, G. D., White, T. W., & Denney, D. (1991). The Lifestyle Criminality Screening Form: Preliminary data. Criminal Justice and Behavior, 18(4), 406–418. https://doi.org/10.1177/0093854891018004003
   Web of Science ®Google Scholar
• Webster, C. D., Eaves, D., Douglas, K. S., & Wintrup, A. (1995). The HCR-20 scheme: The assessment of dangerousness and risk. Simon Fraser University and British Columbia Forensic Psychiatric Services Commission.
   Google Scholar
• Wexler, H. K., Melnick, G., & Cao, Y. (2004). Risk and prison substance abuse treatment outcomes: A replication and challenge. The Prison Journal, 84(1), 106–120. https://doi.org/10.1177/0032885503262458
   Web of Science ®Google Scholar
• Wilson, J. A., & Davis, R. (2006). Hard realities meet good intentions: An evaluation of the Project Greenlight reentry program. Criminology & Public Policy, 5(2), 303–338. https://doi.org/10.1111/j.1745-9133.2006.00380.x
   Google Scholar