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
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.
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.
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.
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.
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.
Bureau of Justice Statistics. (2003). Census of state and federal correctional facilities, 2000 (NCJ-197976). Washington, DC: Department of Justice.
Cameron, A. C., & Trivedi, P. K. (1990). Regression-based tests for overdispersion in the Poisson model. Journal of Econometrics, 46, 347–364.
Cooke, D. J., & Michie, C. (2001). Refining the construct of psychopathy: Towards a hierarchical model. Psychological Assessment, 13, 171–188.
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.
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.
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.
Gendreau, P., Goggin, C. E., & Law, M. A. (1997). Predicting prison misconducts. Criminal Justice and Behavior, 24, 414–431.
Greene, W. H. (2002). LIMDEP Version 8.0: Econometric modeling guide (Vol. 2). Plainview, NY: Econometric Software.
Greene, W. H. (2003). Econometric analysis (5th ed.). New York: Prentice Hall.
Hare, R. D. (2003). The Hare Psychopathy Checklist—Revised (PCL-R). Toronto: Multi-Health Systems.
Hart, S. D., Cox, D. N., & Hare, R. D. (1995). The Hare Psychopathy Checklist: Screening Version (PCL:SV). Toronto: Multi-Health Systems.
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.
Hemphill, J. F., Hare, R. D., & Wong, S. (1998). Psychopathy and recidivism: A review. Legal and Criminological Psychology, 3, 139–170.
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.
Long, J. S. (1997). Regression models for categorical and limited dependent variables. Thousand Oaks, CA: Sage.
Lovell, D., & Jemelka, R. (1996). When inmates misbehave: The costs of discipline. Prison Journal, 76, 165–179.
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.
Meehl, P. E. (1959). Some ruminations on the validation of clinical procedures. Canadian Journal of Psychology, 13, 102–128.
Metz, C. E. (1998). Rockit 0.98: Beta version. Chicago, IL: University of Chicago.
Morey, L. C. (1991). Personality Assessment Inventory: A professional manual. Odessa, FL: Psychological Assessment Resources.
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.
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.
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.
Sechrest, L. (1963). Incremental validity: A recommendation. Educational and Psychological Measurement, 23, 153–158.
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.
Van Voorhis, P. (1994). Measuring prison disciplinary problems: A multiple indicators approach to understanding prison adjustment. Justice Quarterly, 11, 679–709.
Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica, 57, 307–333.
Walters, G. D. (1995). The Psychological Inventory of Criminal Thinking Styles: part I. Reliability and preliminary validity. Criminal Justice and Behavior, 22, 307–325.
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.
Walters, G. D. (2005a). How many factors are there on the PICTS? Criminal Behaviour and Mental Health, 15, 273–283.
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.
Walters, G. D. (2006a). Proactive and reactive composite scales for the Psychological Inventory of Criminal Thinking Styles. Journal of Offender Rehabilitation, 42, 23–36.
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.
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.
Walters, G. D., White, T. W., & Denney, D. (1991). The lifestyle criminality screening form: Preliminary data. Criminal Justice and Behavior, 18, 406–418.
Winkelmann, R. (2003). Econometric analysis of count data (4th ed.). New York: Springer.
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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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DOI: https://doi.org/10.1007/s10979-006-9051-y