The Static-99R predicts sexual and violent recidivism for individuals with low intellectual functioning*

A current debate is whether actuarial risk assessment tools predict sexual recidivism in sexual offenders with intellectual disabilities (SOIDs). Since intellectual functioning exists on a spectrum, the present study examined the predictive validity of the Static-99R across the range of intellectual functioning. The sample was comprised of 454 adult sexual offenders assessed at an outpatient clinic and followed for an average of 10 years. Offenders in the extremely low/borderline group had higher scores on the Static-99R than other offenders, largely due to their score on the detachment subscale of the Static-99R, but did not have significantly higher recidivism rates. Calibration analyses suggested that the expected and observed recidivism rates did not differ significantly. Intellectual functioning did not add incremental validity to the Static-99R. Further, there was no interaction between intellectual functioning and actuarial risk score. The results suggested that the Static-99R can be used across the range of intellectual functioning, albeit somewhat more cautiously for those at the lowest and highest end of the intellectual functioning distribution.     

Accuracy of the static-99 in predicting recidivism in Switzerland

The Static-99 is a widely used actuarial risk assessment instrument. Various international validation studies have found satisfactory to good predictive validity for the Static-99, with the area under the curve (AUC) between 59% and 95%. This study is the first evaluation of the predictive accuracy of the Static-99 among sex offenders in Switzerland. The Static-99 scores of 69 violent/sex offenders in Switzerland were assessed using data from their psychiatric assessments. Recidivism was operationalized as reconviction assessed from penal records. The Static-99 risk levels were predictive for recidivism (AUC = .758) among our population. The results are discussed on the basis of the literature.     

Actuarial Assessment of Sex Offender Recidivism Risk: A Cross-Validation of the RRASOR and the Static-99 in Sweden

We cross-validated two actuarial risk assessment tools, the RRASOR (R. K. Hanson, 1997) and the Static-99 (R. K. Hanson & D. Thornton, 1999), in a retrospective follow-up (mean follow-up time = 3.69 years) of all sex offenders released from Swedish prisons during 1993–1997 (N = 1,400, all men, age 18 years). File-based data were collected by a researcher blind to the outcome (registered criminal recidivism), and individual risk factors as well as complete instrument characteristics were explored. Both the RRASOR and the Static-99 showed similar and moderate predictive accuracy for sexual reconvictions whereas the Static-99 exhibited a significantly higher accuracy for the prediction of any violent recidivism as compared to the RRASOR. Although particularly the Static-99 proved moderately robust as an actuarial measure of recidivism risk among sexual offenders in Sweden, both procedures may need further evaluation, for example, with sex offender subpopulations differing ethnically or with respect to offense characteristics. The usefulness of actuarial methods for the assessment of sex offender recidivism risk is discussed in the context of current practice.     

Interrater reliability of Risk Matrix 2000/s

Actuarial risk assessment instruments for sexual offenders are often used in high-stakes decision making and therefore should be subject to stringent reliability and validity testing. Furthermore, those involved in the risk assessment of sexual offenders should be aware of the factors that may affect the reliability of these instruments. The present study examined the interrater reliability of the Risk Matrix 2000/s between one field rater and one independent rater with a sample of more than 100 sexual offenders. The results indicated good interrater reliability of the tool, although reliability varies from item to item. A number of factors were identified that seem to reduce the reliability of scoring. The present findings are strengthened by examining interrater reliability of the tool in the usual practitioner context and by calculating a range of reliability statistics. Strategies are suggested to increase reliability in the use of actuarial tools in routine practice.     

Predicting outcome with the Level of Service Inventory-Revised: The importance of implementation integrity

Correctional agencies face increasing pressure to provide more services for increasing caseloads with fewer resources. The Level of Service Inventory-Revised (LSI-R) is a risk/need assessment instrument that was designed to assist correctional agencies in classifying offenders based upon risk of re-offending, thereby allowing agencies to assign appropriate levels of risk/need and develop intervention/case-plans accordingly. Although predictive validity of the LSI-R has been demonstrated, very little attention has been paid to the effect that staff training and agency experience have on the validity of this comprehensive, dynamic risk/need assessment tool. The use of formalized training and agency experience were found to be important factors that may determine the validity of the risk/need scores that are gleaned from the LSI-R assessment process.     

Assessing Violence Risk in Stalking Cases: A Regression Tree Approach

Advances in the field of risk assessment have highlighted the importance of developing and validating models for problematic or unique subgroups of individuals. Stalking offenders represent one such subgroup, where fears of and potential for violence are well-known and have important implications for safety management. The present study applies a Classification and Regression Tree (CART) approach to a sample of stalking offenders in order to help further the process of identifying and understanding risk assessment strategies. Data from 204 stalking offenders referred for psychiatric evaluation to a publicly-funded clinic were used to develop and assess putative risk factors. A series of nested models were used to generate tree algorithms predicting violence in this sample of offenders. Both simplified and more extensive models generated high levels of predictive accuracy that were roughly comparable to logistic regression models but much more straightforward to apply in clinical practice. Jack-knifed cross-validation analyses demonstrated considerable shrinkage in the CART, although the models were still comparable to many other actuarial risk assessment instruments. Logistic regression models were much more resilient to cross-validation, with relatively modest loss in predictive power.     

Risk and the Female Offender: An Analysis of Classification and Supervision Issues

Risk is a defining feature of punishment in the United States. This is evidenced by the profusion of actuarial risk assessment instruments, now entering their 4th generation. Although the literature on risk assessment specific to female offenders is growing, certain questions remain unresolved. In particular, it is still largely unknown how gender might influence classification and supervision for offenders under community supervision. This study reports findings from a survey of community corrections officers. The perceived level of risk, the decision to override a classification score, and the perceived importance of risk and need factors are discussed.     

Cross-validation of the risk matrix 2000 sexual and violent scales

The predictive accuracy of the newly developed actuarial risk measures Risk Matrix 2000 Sexual/Violence (RMS, RMV) were cross validated and compared with two risk assessment measures (SVR-20 and Static-99) in a sample of sexual (n= 85) and nonsex violent (n= 46) offenders. The sexual offense reconviction rate for the sex offender group was 18% at 10 years follow-up, compared with 2% for the violent offenders. Survival analyses revealed the violent offenders were reconvicted at twice the rate compared to sexual offenders. The RMV significantly predicted violent recidivism in the sex and combined sex/violent offender groups. Although the RMS obtained marginal accuracy in predicting sexual reconviction in the sex offender group, none of the scales significantly predicted sexual reconviction. An item analysis revealed four factors not included in the risk scales that were significantly correlated with sexual and violent reconviction. Combining these factors with Static-99, RMV, and RMS increased the accuracy in predicting sexual reconviction.     

The significance of offending behavior for predicting sexual recidivism among sex offenders of various age groups

Based on a sample of 682 male sex offenders, this study investigated variables of the offending behavior for predicting sexual recidivism in different age groups. The sex offenders were allocated into four age groups. For each group, those characteristics of offending behavior showing a significant bivariate correlation with sexual recidivism were extracted. Using logistic regression, we then analyzed their incremental validity above and beyond a previously developed Crime Scene Behavior Risk (CBR)-Score, which measures the risk of sexual recidivism without taking into account the offenders' age (Dahle, Biedermann, Gallasch-Nemitz, & Janka, 2010). Age-specific offending behavior variables with incremental validity were combined with the general CBR-Score into age-specific scores and examined for their predictive accuracy. We also analyzed the extent in which these age-specific scores showed incremental validity above and beyond the Static-99 (Hanson & Thornton, 1999). For three of the four age groups, age-specific Crime Scene Behavior Risk-Scores could be determined which were incrementally valid above and beyond the Static-99. Predictive accuracy varied between AUC=.74 and AUC=.90 (r=.28 to r=.49) depending on age group. The results are discussed within context of recent findings on the latent dimensions of actuarial risk assessment variables.     

The predictive validity of youth violence risk assessment tools: a systematic review

ABSTRACT

This paper reports the findings of a systematic search of published literature which reports the predictive validity of violence risk assessment tools specifically designed for use with youth. A total of 38 studies, involving 9,307 participants, reported data for six different tools; the most common of which were the SAVRY and the YLS/CMI. Each of the tools demonstrated at least moderate levels of predictive validity, with the predictive validity of several newer assessment tools yet to be established. The results provide an up-to-date overview of the state of knowledge in an area in which practitioners make choices about which tools to use on an almost daily basis. It is important that practitioners are aware of the strength of evidence that is available to support the choice of violence risk assessment tools and the interpretation of results.     

A Time Series Modeling Approach in Risk Appraisal of Violent and Sexual Recidivism

For over half a century, various clinical and actuarial methods have been employed to assess the likelihood of violent recidivism. Yet there is a need for new methods that can improve the accuracy of recidivism predictions. This study proposes a new time series modeling approach that generates high levels of predictive accuracy over short and long periods of time. The proposed approach outperformed two widely used actuarial instruments (i.e., the Violence Risk Appraisal Guide and the Sex Offender Risk Appraisal Guide). Furthermore, analysis of temporal risk variations based on specific time series models can add valuable information into risk assessment and management of violent offenders.     

Ethnicity, gender, and the Level of Service Inventory-Revised

Offender assessment and classification is becoming an increasingly important part of correctional supervision and intervention. Over the last several decades, several different methods and “generations” of offender classification have emerged. Of most value appear to be third-generation, actuarial, dynamic risk/need assessments. With any new correctional strategy, however, there is a need to investigate the use of these risk/need assessments on offender subgroups in order to inform issues, such as reliability and prevalence of criminogenic risk factors. The present study utilized data that were gathered using the Level of Service Inventory-Revised (LSI-R). Results and comparisons of these assessments were investigated and presented for Native American and non-Native American offenders as well as male and female offenders. Discussion of the results, implications, and recommendations for further research are presented.     

Are the major risk/need factors predictive of both female and male reoffending?: a test with the eight domains of the level of service/case management inventory

The Level of Service/Case Management Inventory (LS/CMI) and the Youth version (YLS/CMI) generate an assessment of risk/need across eight domains that are considered to be relevant for girls and boys and for women and men. Aggregated across five data sets, the predictive validity of each of the eight domains was gender-neutral. The composite total score (LS/CMI total risk/need) was strongly associated with the recidivism of males (mean r = .39, mean AUC = .746) and very strongly associated with the recidivism of females (mean r = .53, mean AUC = .827). The enhanced validity of LS total risk/need with females was traced to the exceptional validity of Substance Abuse with females. The intra-data set conclusions survived the introduction of two very large samples composed of female offenders exclusively. Finally, the mean incremental contributions of gender and the gender-by-risk level interactions in the prediction of criminal recidivism were minimal compared to the relatively strong validity of the LS/CMI risk level. Although the variance explained by gender was minimal and although high-risk cases were high-risk cases regardless of gender, the recidivism rates of lower risk females were lower than the recidivism rates of lower risk males, suggesting possible implications for test interpretation and policy.     

Risk of sexual recidivism as a function of age and actuarial risk

Abstract

The study of risk for sexual recidivism has undergone substantial development in recent years. The foundation for advances in this area has been the use of actuarial measures to identify subgroups of offenders with different observed rates of sexual re-offending over time. An unresolved issue within this research area has been the moderating function of age in the assessment of risk. The current study examined sexual re-offending as a function of age and actuarial risk in a large sample of sexual offenders released from prison between 1990 and 2004. There was an overall decrease in the rate of sexual re-offending over the age of 50. However, a small group of offenders from the higher actuarial risk categories of the older age groups continued to re-offend at higher rates than their lower-risk peers.     

Violent recidivism in criminal psychopaths

The predictive validity of the Psychopathy Checklist-Revised (PCL-R) was compared with 3 actuarial risk scales in a sample of 81 offenders followed for a maximum of 67 months (average of 30 months). The recommittal or general recidivism rate for the entire sample was 57% (40% for nonpsychopaths, 51.2% for a mixed group, and 85% for psychopaths). The violent reoffense rate was 10% for the sample (nonpsychopaths 0%, mixed 7.3%, psychopaths 25%). All instruments were significantly correlated with general recidivism; however, the PCL-R was the best predictor of violent recidivism. Compared to the actuarial scales, the PCL-R had a higher predictive efficiency (Relative Improvement Over Chance (RIOC)) and yielded fewer decision errors. Most importantly, Factor 1 was a better predictor of violent recidivism than Factor 2, suggesting that the trait construct of psychopathy makes a unique contribution to the prediction of violent recidivism.     

Sexual and violent recidivism by offender type and actuarial risk: reoffending rates for rapists,child molesters and mixed-victim offenders

Abstract

The current study examines sexual and violent reoffence rates for a sample of 2474 sexual offenders over an average of 15 years following release from prison. Reoffence rates are reported as a function of the offenders' victim type and level of risk as assessed by the Automated Sexual Recidivism Scale, a computer scored measure of relevant historical risk factors. Observed sexual recidivism rates for offenders with child victims, adult victims, and mixed victims were quite similar. Results indicate that offenders with exclusively female child victims not only showed a lower rate of sexual reoffending, but that the reoffence rates were relatively low across all levels of actuarial risk. In contrast, those with male child victims and adult victims showed a pronounced escalation of reoffence rates as actuarial risk increased. Results also indicated that adult victim offenders are less consistent in the victim type of their reoffences, with 37% sexually reoffending against child victims. Finally, combined rates of sexual and violent reoffending were particularly high for those with adult victim sexual offence histories. Risk assessment and public policy implications are discussed.     

Predictive Validity of the SVR-20 and Static-99 in a Dutch Sample of Treated Sex Offenders

In this retrospective study, the interrater reliability and predictive validity of 2 risk assessment instruments for sexual violence are presented. The SVR-20, an instrument for structured professional judgment, and the Static-99, an actuarial risk assessment instrument, were coded from file information of 122 sex offenders who were admitted to a Dutch forensic psychiatric hospital between 1974 and 1996 (average follow-up period 140 months). Recidivism data (reconvictions) from the Ministry of Justice were related to the risk assessments. The base rate for sexual recidivism was 39%, for nonsexual violent offenses 46%, and for general offenses 74%. Predictive validity of the SVR-20 was good (total score: r = .50, AUC = .80; final risk judgment: r = .60, AUC = .83), of the Static-99 moderate (total score: r = .38, AUC =.71; risk category: r = .30, AUC = .66). The SVR-20 final risk judgment was a significantly better predictor of sexual recidivism than the Static-99 risk category.     

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.     

Red-teaming the panopticon* (mobilising adaptive change in secure and forensic settings)

In England and Wales, secure and forensic psychiatric institutions provide a high-cost, low-volume service that imposes significant restrictions upon detainees. Patients may be detained under the Mental Health Act in such settings for several years or even life, as they are deemed to present a significant risk to themselves or the public. Patients under s37/41 require the Home Office to approve any increase in their freedom. Best practice requires reoffending risk to be assessed before a patient is discharged. Evaluation of risk is an inexact actuarial science operating in a political arena, and research has indicated risk assessment tools have little positive predictive validity. There is concern amongst the wider psychiatric and judicial communities about the ethics of current practice. We examine these issues and consider means of improving risk assessment through red-teaming, increased collaboration between clinician and patient and a paradigm shift towards greater emphasis on patient self-agency.     

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.