2003
Introduction:
Four actuarial instruments for the prediction of violent and sexual reoffending (the Violence Risk Appraisal Guide [VRAG], Sex Offender Risk Appraisal Guide [SORAG], Rapid Risk Assessment for Sex Offender Recidivism [RRASOR], and Static-99) were evaluated in 4 samples of sex offenders (N = 396). Although all 4 instruments predicted violent (including sexual) recidivism and recidivism known to be sexually motivated, areas under the receiver operating characteristic (ROC) were consistently higher for the VRAG and the SORAG. The instruments performed better when there were fewer missing items and follow-up time was fixed, with an ROC area up to .84 for the VRAG, for example, under such favorable conditions. Predictive accuracy was higher for child molesters than for rapists, especially for the Static-99 and the RRASOR. Consistent with past research, survival analyses revealed that those offenders high in both psychopathy and sexual deviance were an especially high-risk group. ..Rest of Study.. by Grant T. Harris -and- Marnie E. Rice -and- Vernon L. Quinsey -and- Martin L. Lalumiere -and- Douglas Boer -and- Carol Lang
July 7, 2008
A Multisite Comparison of Actuarial Risk Instruments for Sex Offenders
November 20, 2007
Evaluating and Improving Risk Assessment Schemes for Sexual Recidivism: A Long-Term Follow-Up of Convicted Sexual Offenders
March 2007 217618
EXECUTIVE SUMMARY
Risk assessment plays a central role in the management of sexual offenders in the criminal justice system, impacting every level of decision-making. The specification of which offenders should be included in state registration or community notification, the distribution of treatment opportunities in prison, the determination of parole eligibility, the allocation of resources in monitoring and supervising offenders in the community, and the ultimate decision to remove the most serious offenders from the community through civil commitment all involve critical choices involving risk. The serious consequences to potential victims, to those offenders who no longer pose a threat to the community, but are denied their civil liberties, and to critical community funds that may be squandered as the result of inaccurate decisions all demand the guidance of the most accurate actuarial algorithms available. Because decisions must be made—even doing nothing constitutes a decision—to choose not to employ the most accurate decision-making algorithms is to choose to pay the costly price of a suboptimal decision.
The aim of the present study was to evaluate and to improve the decision-making algorithms that have been generated to assess risk in sexual offenders. More specifically, it was the task of this research project to evaluate the extant actuarials in a sample of sexual offenders on whom long-term follow up were available. We assessed the comparative accuracy of the major risk instruments over time and over subsamples, explored their underlying factor structure, examined the accuracy of a new assessment protocol (SRA Need Assessment; Thornton, 2002), and explored the potential for generating improved predictive instruments.
In a prior study we (Knight, 1999; Prentky, Knight, & Lee, 1997) had followed 599 offenders who had been referred to the Massachusetts Treatment Center (MTC) for evaluation between 1959 and 1984. Of these 266 (Bridgewater Treatment [BT] sample) had been committed to MTC as “sexually dangerous” and subsequently released, and 333 (Bridgewater Observation [BO] sample) had been determined not to be sexually dangerous and returned to finish their sentences. Of the 333 BO offenders 200 constituted a matched sample (on age at evaluation, marital status, and number of prior crimes) and 200 were randomly sampled from the entire sample BO population evaluated. There was an overlap of 67 offenders selected by both the random and matched process. For all these offenders we had accessed and integrated four outcome record sources, including the Massachusetts Board of Probation records, the Massachusetts Parole Board records, the Massachusetts Treatment Center Authorized Absence Program records, and the Federal Bureau of Investigation (FBI) records.
In the present study we accessed the archival clinical files for these offenders and coded these records both on modern empirically-derived, mechanical actuarials that have been developed since 1997 for predicting sexual recidivism, including the RRASOR (Hanson, 1997), the Static-99 (Hanson & Thornton, 2000), the Static-2002 (Hanson & Thornton, 2003), the SORAG (Quinsey, Harris, Rice, & Cormier, 1998), the MnSOST-R (Epperson, Kaul, Huot, Hesselton, Alexander, & Goldman, 1998), and the Risk Matrix 2000 (Thornton et al., 2003), on two structured clinical guidelines, the SVR-20 (Boer, Hart, Kropp, & Webster, 1997) and the A-SOAP-II (Prentky & Righthand, 2003), and on a new experimental measure, the SRA Needs Assessment (Thornton, 2002). Offenders were also categorized in the Massachusetts Treatment Center Rapist (MTC:R3) and Child Molester (MTC:CM3) typologies and diagnosed according the DSM-IV Antisocial Personality Disorder and Conduct Disorder criteria. All codings and judgments were carried out without any access to or knowledge about the follow-up status of the offenders.
The final report addressed six basic questions. We summarize the findings for each using this framework: ..more.. by Raymond A. Knight, Ph.D. ; David Thornton, Ph.D.
August 17, 2007
Sex Offender Risk Assessment
June 30, 2006
Prepared for: Missouri Sentencing Advisory Commission
Executive Summary
Compared to clinical methods, actuarial risk instruments are a preferred method to discern sex offenders risk for sexual as well as violent recidivism because, unlike clinical practices, they are considered inexpensive, objective and modestly accurate. Scientists argue that risk instruments that employ only static, or historic measures of offender characteristics, rather than dynamic, are certainly sufficient for the purposes of gauging individuals’ likelihood of recidivism. In fact, Harris and Rice (2003:207) contend that dynamic constructs are “unnecessary for anticipating who will recidivate in a given time period”; furthermore they state that “very accurate statements about the likelihood of another…offense can be based upon knowledge of an individual’s lifetime conduct.” In their view, offender risk scales that incorporate only static information are essentially capturing factors that refl ect a person’s underlying antisocial propensity.
Although there are a considerable number of risk instruments available for corrections officials to utilize, far fewer have been rigorously evaluated. Of those that have, Harris and Rice (2003) recommend that the MnSOST-R and the Static-99 are two of the most “promising” scales for predicting sexual recidivism. An emerging body of work also suggests that the SORAG is quite effectual in terms of its predictive accuracy. Additional empirical research is likely to surface which will provide further evidence of the statistical accuracy of sex offender risk instruments.
For the remainder of this paper: by Dr. Beth Huebner (Prepared by: Institute of Public Policy, Truman School of Public Affairs, University of Missouri – Columbia)
June 9, 2007
Predictors of Sexual Recidivism: An Updated Meta-Analysis, 2004-02
2004-02
Abstract
This quantitative review examined the research evidence concerning recidivism risk factors for sexual offenders. A total of 95 different studies were examined, involving more than 31,000 sexual offenders and close to 2000 recidivism predictions. The results confirmed deviant sexual interests and antisocial orientation as important predictors of sexual recidivism. Antisocial orientation (e.g., unstable lifestyle, history of rule violation) was a particularly important predictor of violent non-sexual recidivism and general recidivism. The study also identified a number of new predictor variables, some of which have the potential of being useful targets for intervention (e.g., sexual preoccupations, conflicts in intimate relationships, emotional identification with children, hostility). Actuarial risk instruments were consistently more accurate than unguided clinical opinion in predicting sexual, violent nonsexual and general recidivism. For the prediction of sexual recidivism, there were no significant differences in the predictive accuracy of the various actuarial measures (e.g., SORAG, Static -99). Actuarial measures designed to predict general (any) criminal recidivism were strong predictors of general recidivism among sexual offenders. ..more.. by R. Karl Hanson -and- Kelly Morton-Bourgon, Public Safety and Emergency Preparedness Canada
