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Incremental Validity of the Psychological Inventory of Criminal Thinking Styles and Psychopathy Checklist: Screening Version in Predicting Disciplinary Outcome

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Law and Human Behavior

Abstract

A group of 136 male inmates housed in a medium security federal correctional institution were followed for a period of 24 months for evidence of disciplinary infractions (incident reports) after completing the Psychological Inventory of Criminal Thinking Styles (PICTS) and being scored on the Psychopathy Checklist: Screening Version (PCL:SV). Age, prior incident reports, the PICTS General Criminal Thinking (GCT) score, and the PCL:SV total score were included in a series of negative binomial regressions and Receiver Operating Characteristic (ROC) analyses of three increasingly more serious outcomes: total incident reports, major incident reports, and aggressive incident reports. Results indicated that the PICTS GCT score and PCL:SV total score were incrementally valid predictors of all three outcomes, with the strongest effects occurring when more severe incident reports were predicted. On the other hand, only the PICTS GCT score and Proactive Criminal Thinking (P) scale produced more than one significant ROC finding.

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Notes

  1. The expectation was that an inmate would complete the PICTS because it was part of the routine intake procedure adopted by the Psychology Services department for all incoming inmates. The two inmates who refused to be tested could have been cited for refusal to accept programming because Bureau of Prisons policy requires that a psychological intake be completed on all incoming inmates, an intake which in this particular institution included the PICTS.

  2. This is a highly reliable system with several checks and balances, including the fact that it is subjected to annual review by the correctional programs and disciplinary hearing branches of the Federal Bureau of Prisons. Only incident reports for which an inmate is found guilty (approximately 95% of all disciplinary reports that are heard) are catalogued in this system. Incident reports for which an inmate is found not guilty are purged from the system and all paperwork relating to the report is destroyed.

  3. Number of prior arrests was also used as an index of prior criminality but it failed to correlate significantly with any of the outcome measures (IR-T, r=−.04; IR-M, r=−.05; IR-A, r=−.04) and it failed to alter the outcome of the negative binomial regressions except to make the t-test results for the other covariates stronger than the figures reported in Table 2.

  4. When this one outlying participant was removed from the analyses the following results occurred: age (β=−.065, SE=.019, t=−3.46, p<.001), prior incident reports (β=.236, SE=.096, t=2.46, p<.05), and the PICTS GCT (β=.010, SE=.005, t=2.07, p<.05) but not the PCL:SV total score (β=.049, SE=.031, t=1.58, p>.10) significantly predicted IR-T; age (β=−.083, SE=.027, t=−3.08, p<.01), the PCL:SV total score (β=.091, SE=.039, t=2.31, p< .05), and the PICTS GCT (β=.013, SE=.006, t=2.06, p<.05) but not prior incident reports (β=.062, SE=.103, t=0.60, p>.10) significantly predicted IR-M; the PICTS GCT (β=.027, SE=.010, t=2.75, p<.01) but not age (β=−.064, SE=.038, t=−1.69, p=.09), prior incident reports (β=.101, SE=.133, t=0.76, p>.10), or the PCL:SV (β=.109, SE=.059, t=1.80, p=.07) significantly predicted IR-A.

References

  • Andrews, D. A., & Bonta, J. L. (1995). The Level of Services Inventory-Revised. Toronto, Canada: Multi-Health Systems.

    Google Scholar 

  • Buffington-Vollum, J., Edens, J. F., Johnson, D. W., & Johnson, J. K. (2002). Psychopathy as a predictor of institutional misbehavior among sex offenders: A retrospective replication. Criminal Justice and Behavior, 29, 497–511.

    Article  Google Scholar 

  • Bureau of Justice Statistics. (2003). Census of state and federal correctional facilities, 2000 (NCJ-197976). Washington, DC: Department of Justice.

    Google Scholar 

  • Cameron, A. C., & Trivedi, P. K. (1990). Regression-based tests for overdispersion in the Poisson model. Journal of Econometrics, 46, 347–364.

    Article  Google Scholar 

  • Cooke, D. J., & Michie, C. (2001). Refining the construct of psychopathy: Towards a hierarchical model. Psychological Assessment, 13, 171–188.

    Article  PubMed  Google Scholar 

  • Cooke, D. J., Michie, C., Hart, S. D., & Hare, R. D. (1999). Evaluating the screening version of the Hare Psychopathy Checklist-Revised (PCL:SV): An item response theory analysis. Psychological Assessment, 11, 3–13.

    Article  Google Scholar 

  • Edens, J. F., Hart, S. D., Johnson, D. W., Johnson, J. K., & Olver, M. E. (2000). Use of the Personality Assessment Inventory to assess psychopathy in offender populations. Psychological Assessment, 12, 132–139.

    Article  PubMed  Google Scholar 

  • Gardner, W., Mulvey, E. P., & Shaw, E. C. (1995). Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. Psychological Bulletin, 118, 392–404.

    Article  PubMed  Google Scholar 

  • Gendreau, P., Goggin, C. E., & Law, M. A. (1997). Predicting prison misconducts. Criminal Justice and Behavior, 24, 414–431.

    Article  Google Scholar 

  • Greene, W. H. (2002). LIMDEP Version 8.0: Econometric modeling guide (Vol. 2). Plainview, NY: Econometric Software.

    Google Scholar 

  • Greene, W. H. (2003). Econometric analysis (5th ed.). New York: Prentice Hall.

    Google Scholar 

  • Hare, R. D. (2003). The Hare Psychopathy Checklist—Revised (PCL-R). Toronto: Multi-Health Systems.

    Google Scholar 

  • Hart, S. D., Cox, D. N., & Hare, R. D. (1995). The Hare Psychopathy Checklist: Screening Version (PCL:SV). Toronto: Multi-Health Systems.

    Google Scholar 

  • Heilbrun, K., Hart, S. D., Hare, R. D., Gustafson, D., Nunez, C., & White, A. J. (1998). Inpatient and postdischarge aggression in mentally disordered offenders: The role of psychopathy. Journal of Interpersonal Violence, 13, 514–527.

    Article  Google Scholar 

  • Hemphill, J. F., Hare, R. D., & Wong, S. (1998). Psychopathy and recidivism: A review. Legal and Criminological Psychology, 3, 139–170.

    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, 471–489.

    Article  Google Scholar 

  • Long, J. S. (1997). Regression models for categorical and limited dependent variables. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Lovell, D., & Jemelka, R. (1996). When inmates misbehave: The costs of discipline. Prison Journal, 76, 165–179.

    Article  Google Scholar 

  • Loza, W., Dhaliwal, G. K., Kroner, D. G., & Loza-Fanous, A. (2000). Reliability and concurrent validity of the Self-Appraisal Questionnaire (SAQ): A tool for assessing violent and non-violent recidivism. Criminal Justice and Behavior, 27, 356–374.

    Article  Google Scholar 

  • Meehl, P. E. (1959). Some ruminations on the validation of clinical procedures. Canadian Journal of Psychology, 13, 102–128.

    Google Scholar 

  • Metz, C. E. (1998). Rockit 0.98: Beta version. Chicago, IL: University of Chicago.

    Google Scholar 

  • Morey, L. C. (1991). Personality Assessment Inventory: A professional manual. Odessa, FL: Psychological Assessment Resources.

    Google Scholar 

  • Nichols, T. L., Ogloff, J. R. P., & Douglas, K. S. (2004). Assessing risk for violence among male and female civil psychiatric patients: The HCR-20, PCL:SV, and VSC. Behavioral Sciences and the Law, 22, 127–158.

    Article  Google Scholar 

  • Richards, H. J., Casey, J. O., & Lucente, S. W. (2003). Psychopathy and treatment response in incarcerated female substance abusers. Criminal Justice and Behavior, 30, 251–276.

    Article  Google Scholar 

  • Rogers, R., Johansen, J., Chang, J. J., & Salekin, R. T. (1997). Predictors of adolescent psychopathology: Oppositional and conduct-disordered symptoms. Journal of the American Academy of Psychiatry and Law, 25, 261–271.

    Google Scholar 

  • Sechrest, L. (1963). Incremental validity: A recommendation. Educational and Psychological Measurement, 23, 153–158.

    Article  Google Scholar 

  • Toch, H., & Adams, K. (2002). Disturbed-disruptive patterns. In H. Toch & K. Adams (Eds.), Acting out: Maladaptive behavior in confinement (pp. 99–120). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  • Van Voorhis, P. (1994). Measuring prison disciplinary problems: A multiple indicators approach to understanding prison adjustment. Justice Quarterly, 11, 679–709.

    Article  Google Scholar 

  • Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica, 57, 307–333.

    Article  Google Scholar 

  • Walters, G. D. (1995). The Psychological Inventory of Criminal Thinking Styles: part I. Reliability and preliminary validity. Criminal Justice and Behavior, 22, 307–325.

    Article  Google Scholar 

  • Walters, G. D. (2003). Predicting institutional adjustment and recidivism with the Psychopathy Checklist factor scores: A meta-analysis. Law and Human Behavior, 27, 541–558.

    Article  PubMed  Google Scholar 

  • Walters, G. D. (2005a). How many factors are there on the PICTS? Criminal Behaviour and Mental Health, 15, 273–283.

    Article  PubMed  Google Scholar 

  • Walters, G. D. (2005b). Predicting institutional adjustment with the Lifestyle Criminality Screening Form and Psychological Inventory of Criminal Thinking Styles. International Journal of Forensic Mental Health, 4, 63–70.

    Google Scholar 

  • Walters, G. D. (2006a). Proactive and reactive composite scales for the Psychological Inventory of Criminal Thinking Styles. Journal of Offender Rehabilitation, 42, 23–36.

    Google Scholar 

  • Walters, G. D. (2006b). Risk-appraisal versus self-report in the prediction of criminal justice outcomes: A meta-analysis. Criminal Justice and Behavior, 33, 279–304.

    Article  Google Scholar 

  • Walters, G. D. (in press). Predicting institutional adjustment with the Psychological Inventory of Criminal Thinking Styles composite scales: replication and extension. Legal and Criminological Psychology.

  • Walters, G. D., Duncan, S. A., & Geyer, M. D. (2003). Predicting disciplinary adjustment in inmates undergoing forensic evaluation: A direct comparison of the PCL-R and PAI. Journal of Forensic Psychiatry and Psychology, 14, 382–393.

    Article  Google Scholar 

  • Walters, G. D., White, T. W., & Denney, D. (1991). The lifestyle criminality screening form: Preliminary data. Criminal Justice and Behavior, 18, 406–418.

    Article  Google Scholar 

  • Winkelmann, R. (2003). Econometric analysis of count data (4th ed.). New York: Springer.

    Google Scholar 

Download references

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Walters, G.D., Mandell, W. Incremental Validity of the Psychological Inventory of Criminal Thinking Styles and Psychopathy Checklist: Screening Version in Predicting Disciplinary Outcome. Law Hum Behav 31, 141–157 (2007). https://doi.org/10.1007/s10979-006-9051-y

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