Testing the three- and four-factor models of the Korean version PCL-R as predictors of two antisocial outcomes – recidivism and risk

Psychopathy has consistently been associated with antisocial outcomes. The three- and four-factor models have been best fitted to data relating to Korean serious offenders (N?=?451), offering construct validity of the Korean Psychopathy Checklist-Revised (PCL-R). However, no study has yet tested the predictive power of the Korean PCL-R to explain two different types of antisocial outcomes: (1) risk of inmates measured by correctional officers during incarceration and (2) recidivism after release. By exploring these two forms of antisociality, here we sought to establish the predictive and construct validities of the Korean version of PCL-R. We found that the deviant lifestyle (Factor 3) performed best for predicting both antisocial forms (risk and recidivism) and that the deficits in interpersonal (Factor 1) and affective (Factor 2) abilities also uniquely predicted one subtype of risk, which suggests the three-factor model is better than the four-factor model in predictions. These findings will be useful for criminal justice experts and practitioners in Korea.     

Forecasting Recidivism in Mentally Ill Offenders Released from Prison

Little research has focused on assessing the risk of mentally ill offenders (MIOs) released from state prisons. Here we report findings for 333 mentally ill offenders released from Washington State prisons. Logistic regression identified sets of variables that forecasted felony and violent reconviction as accurately as state-of-the-art risk assessment instruments. Sums of simple recoded versions of these variables predicted reoffense as well as complex logistic regression equations. Five of these 9 variables were found to be relative protective factors. Findings are discussed in terms of the value of stock correctional variables in forecasting risk, the need to base actuarial risk assessments on local data, the importance of protective factors in assessing MIO risk, and the need for dynamic, situational, and clinical variables that can further sharpen predictive accuracy of emergent risk in the community.     

Socially desirable responding and psychometric assessment of dynamic risk in sexual offenders against children

Does socially desirable responding (SDR) represent a threat to the validity of dynamic risk assessment in sex offenders’ self-reports? We studied a sample of men (N?=?218) who completed a psychometric assessment battery while enrolled at Kia Marama, a prison-based treatment program for sexual offenders against children. SDR, as measured by the Marlowe-Crowne scale, was elevated compared to non-offender samples, increased from pre- to post-treatment, and was negatively correlated with dynamic risk (rs?=??.30 to ?.40), consistent with previous research. Measures of dynamic risk factors derived from the psychometric battery were correlated with sexual recidivism, but correlations were little changed when variance associated with SDR was removed using a regression procedure [Mills, J. F., &; Kroner, D. G. (2006). Impression management and self-report among violent offenders. Journal of Interpersonal Violence, 21(2), 178–192.]. These results suggest that there is a substantial component of the variance in psychometric self-reports of sexual offenders that is associated with SDR (approximately 10%), but that it does not compromise the predictive or construct validity of dynamic risk measures derived from these reports.     

Predictive accuracy of static risk factors for Canadian Indigenous offenders compared to non-Indigenous offenders: implications for risk assessment scales

ABSTRACT

The over-representation of Indigenous offenders in Canadian prisons highlights the importance of research on the generalizability of potential static risk factors for this group. The current investigation examined whether 87 static indicators currently assessed in Canadian federal prisons were differentially present and related to outcomes (revocations, general recidivism, and violent recidivism) for Indigenous (n?=?1500) and non-Indigenous (n?=?6684) male federal offenders. The follow-up was eight months for revocations and five years for any/violent recidivism. Indigenous offenders scored significantly higher risk than non-Indigenous offenders on the majority of the indicators (particularly criminal history indicators). Generally, most criminal history indicators and some offence severity indicators predicted revocations, general, and violent recidivism for Indigenous offenders; however, several of the indicators had significantly lower accuracy for Indigenous offenders (particularly criminal history indicators). Overall, Indigenous offenders are a higher risk population and several static risk indicators do not perform as well for this group as for non-Indigenous offenders. Nonetheless, there were numerous static indicators that did predict outcomes for Indigenous offenders. The current findings suggest that it is possible to meaningfully assess static risk for recidivism among Indigenous offenders.     

Violent Sex Offenses: How are They Best Measured from Official Records?

In the United States, sexually violent predator (SVP) commitment statutes generally require assessment of an offender's risk of subsequent sexual violence. Current actuarial methods for predicting sexual reoffending were actually designed to predict something else—charges or convictions for offenses deemed sexual based on information obtained from police “rapsheets” alone. This study examined the referral and past offenses of 177 sex offenders. Results showed that police rapsheets (and data based on them) underestimated the number and severity of sexually motivated violent offenses for which sex offenders were actually apprehended. Rapsheet violent offenses seemed a more accurate index of the conduct addressed by SVP legislation than were rapsheet sex offenses. We suggest that, when evaluating sex offenders for SVP status, actuarial instruments designed to predict violent recidivism (as measured by rapsheet violent reoffenses) might be preferable to those designed to predict sexual recidivism (as measured by rapsheet sexual reoffenses).

Can we keep it simple? Using the BARR-2002R with a community-based sex offender sample

The Brief Assessment of Recidivism Risk (BARR-2002R) comprises of six items from the Static-2002R and has been designed for predicting general and violent recidivism among sexual offenders. The present study investigates the ability of the BARR-2002R, Static-2002R, Static-99R, and SORAG to predict general, violent, and sexual recidivism in a sample of 342 male sex offenders at a community-based forensic clinic. All four of the risk schemes demonstrated large effect sizes for predicting general, violent, and sexual recidivism, although the BARR-2002R produced a moderate effect size in its prediction of sexual reoffending. Unlike past research, the BARR-2002R did not outperform the other measures; however, our findings showed that the BARR-2002R adds incremental value to the Static-99R in predicting general and violent recidivism. These findings provide support that the BARR-2002R is a valid, abbreviated risk scheme that could be used in routine assessments of individuals convicted of sexual offending.     

Static and Dynamic Patient Characteristics as Predictors of Criminal Recidivism: A Prospective Study in a Dutch Forensic Psychiatric Sample

If clinicians in forensic psychiatry want to reduce risk of reoffending in their patients, they require insight into dynamic risk factors, and evidence that these add predictive power to static risk indicators. Predictors need to be evaluated under clinically realistic circumstances. This study aimed to validate dynamic and static variables as predictors of reconviction in a naturalistic outcome study. Data on static and dynamic risk factors were collected for 151 patients discharged from Dutch forensic psychiatric hospitals. Community follow-up was prospective, with a 5.5 year minimum. A prediction model was developed using Cox regression analysis. The magnitude of the predictive power of this model was estimated using receiver operating characteristic (ROC) analysis. The final prediction model contained four static and no dynamic predictors. The model's ROC area under the curve was .79 (95% CI .69–.89). Clinical risk ratings were non-predictive. Post hoc analyses exploring the influence of subgroups of patients did not yield better models. It is concluded that a small set of static predictors yielded a good estimate of future reconvictions; inclusion of dynamic predictors did not add predictive power.