The effect of gender on violent and nonviolent recidivism: A meta-analysis

A large body of literature has been dedicated to understanding re-offending after release from prison - a phenomenon known as recidivism. A meta-analysis was conducted using fifty- seven published studies on actuarial predictors of both violent and nonviolent recidivism in men and women. The current analysis resulted in 127 effect sizes between violent recidivists and non-recidivists, and sixty-eight effect sizes between violent recidivists with nonviolent recidivists. Several variables (drug/alcohol use, age, and marriage) were predictive of recidivism. Gender differences were also observed. In men, increased violent criminal history was associated with increased violent recidivism. This effect was not true for women. In fact, longer sentences were predictive of violent re-offending in women and not men. Despite limited data on women, pursuing the predictors of recidivism in men and women independently demonstrated that gender differences exist, and supported the need for more data concerning the predictors of recidivism in women.     

The differential predictive validity of the Youth Level of Service/Case Management Inventory: the role of gender

Most criminogenic risk assessments are developed and empirically validated on samples of boys or samples comprised of mostly boys, and subsequently applied to girls. Using a sample of male (n = 1,267) and female (n = 453) probationers, the purpose of the current study was to examine the potentially differential performance of the Youth Level of Service/Case Management Inventory (YLS/CMI) and the instrument’s eight domains for female juvenile offenders. Findings revealed gender differences in the predictive validity of the YLS/CMI in which girls scored significantly higher on the risk assessment, but recidivated at significantly lower rates than boys two years following the administration of the assessment. The predictive validity of the instrument was impacted by these gender differences in which the YLS/CMI total score was a better predictor of recidivism for boys (area under the curve (AUC) = .623) than girls (AUC = .565). The only subscales that significantly predicted recidivism for girls were the family (AUC = .607) and personality (AUC = .572) domains, whereas all of the subscales significantly predicted recidivism for boys. Directions for future research as well as gender-responsive assessment, programming, and policy implications are discussed.     

Sexual recidivism: A review of static,dynamic and actuarial predictors

The need for accurate risk assessment of sexual offence recidivism has never been greater. It is widely accepted that actuarial risk instruments outperform clinical judgement and the literature has recently witnessed a surge of empirically derived actuarial measures. However, in spite of the increased levels of predictive accuracy, actuarial measures have been criticized as being unrepresentative, lacking specificity, and being heavily reliant on static risk factors without taking into account dynamic risk, psychological emotional states and treatment effects. Rather than offering a critique of the actuarial movement, this paper offers a summary of static and dynamic risk factors associated with sexual offence recidivism as identified from the literature. Implications of incorporating dynamic factors into risk assessments and actuarial measures are discussed.     

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.     

The Influence of Actuarial Risk Assessment in Clinical Judgments and Tribunal Decisions about Mentally Disordered Offenders in Maximum Security

Research has shown that actuarial assessments of violence risk are consistently more accurate than unaided judgments by clinicians, and it has been suggested that the availability of actuarial instruments will improve forensic decision making. This study examined clinical judgments and autonomous review tribunal decisions to detain forensic patients in maximum security. Variables included the availability of an actuarial risk report at the time of decision making, patient characteristics and history, and clinical presentation over the previous year. Detained and transferred patients did not differ in their actuarial risk of violent recidivism. The best predictor of tribunal decision was the senior clinician's testimony. There was also no significant association between the actuarial risk score and clinicians' opinions. Whether the actuarial report was available at the time of decision making did not alter the statistical model of either clinical judgments or tribunal decisions. Implications for the use of actuarial risk assessment in forensic decision making are discussed.     

Identifying Three Types of Violent Offenders and Predicting Violent Recidivism While on Probation: A Classification Tree Analysis

This study employs classification tree analysis (CTA) to address whether 3 groups of violent offenders have similar or different risk factors for violent recidivism while on probation. A sample of 1344 violent offenders on probation was classified as generalized aggressors (N = 302), family only aggressors (N = 321), or nonfamily only aggressors (N = 717). The strongest predictor of violent recidivism while on probation was whether the offender was a generalized aggressor or not, with generalized aggressors more likely to be arrested for new violent crimes. Prior arrests for violent crimes predicted violent recidivism of generalized aggressors, but did not significantly predict violent recidivism of family only and nonfamily only aggressors. For generalized aggressors and family only batterers, treatment noncompliance was an important risk predictor of violent recidivism. CTA compared to logistic regression classified a higher percentage of cases into low-risk and high-risk groups, provided higher improvement in classification accuracy of violent recidivists beyond chance performance, and provided a better balance of false positives and false negatives. The implications for the risk assessment and domestic violence literature are discussed.     

STABLE PREDICTORS OF RECIDIVISM:

Seventy-one studies are reviewed which present data on the relationship between biographical predictors and recidivism in 177 independent samples of offenders. A summary table lists the number of samples in which a particular predictor was found to be related to recidivism and the number of samples in which that predictor was found to be unrelated to recidivisim. Detailed summaries of the relation between “type of instant offense” and recidivism and “age at first arrest” and recidivism are also included.     

The Sexual Violence Risk-20: factor structure and psychometric properties

Although the Sexual Violence Risk-20 (SVR-20) is widely used, its psychometric properties have only been investigated in a limited number of studies. This study explored the factor structure of the SVR-20 and examined its psychometric properties. Confirmatory factor analysis (CFA) was used to examine the fit of the original three-domain model of the SVR-20. The CFA showed that the original structure was not satisfactory. Exploratory principal components analysis (PCA) was conducted in search of a more optimal factor structure. Psychometric properties (i.e., internal consistency, predictive value, and convergent validity) of both the original domains and alternative factors were investigated. The PCA and subsequent CFAs pointed in the direction of an alternative, more optimal three-factor solution. The three alternative factors were labeled as Antisociality, Sexual deviance, and Problematic thinking and produced better internal consistency coefficients than the original domains. However, the validity of the SVR-20 was modest and no evidence was found indicating that the alternative factors were better in this regard as compared to the original domains. Despite the overall superiority of actuarial measures in predicting recidivism, the structured professional judgment of the SVR-20 proved to be more predictive of sexual, violent, and general recidivism than its actuarial scoring method.     

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.     

How should we understand the effect of age on sexual recidivism?

Abstract

Research into the effect of age on sexual recidivism risk is a relatively new and developing area of interest and is likely to be of great interest for forensic practitioners responsible for the community supervision of sexual offenders. Meta-analytical and follow-up reconviction studies indicate an inverse relationship between age and sexual recidivism risk, where younger sex offenders pose a greater risk of reconviction than older sex offenders. This finding has led to the development of actuarial risk scales which identify younger sex offenders (<25 years) as posing the greatest risk. However, recent research studies have reported contradictory results to this assumption and found a non-linear relationship between age and sexual recidivism risk. Only a small number of studies have investigated the effect of age on sexual recidivism by comparing age bands and rates of sexual recidivism. Researchers have also considered the effect of age on actuarial risk, which risk factors are associated with which age bands and sexual recidivism rates between sex offender subgroups. The purpose of this paper is to integrate this research and to link commonalities between these studies. This paper organizes the effect of age on sexual recidivism into five categories: (i) the effect of age and actuarial risk; (ii) the effect of age on sexual arousal; (iii) the effect of age-at-release on sexual recidivism risk; (iv) the effect of age-at-first-offence on sexual recidivism risk; and (v) the effect of age on child molesters and rapists on sexual recidivism risk. Important differences were found between age bands of sexual offenders in terms of sexual recidivism risk and actuarial risk factors as well as differences between rapists and child molesters. The relative importance of factoring age when assessing risk in sex offenders is discussed.     

Low‐Risk Youths Referred to Pima County Juvenile Court Center Detention Intake: Needs,Detention, and Recidivism

Delinquent youths who were low risk to re‐offend were the subject of this study. It was hypothesized that these youths would have high levels of need (e.g., mental illness) and that detention would lead to increased recidivism. Demographic and social factors, delinquency history, and recidivism data were analyzed, producing four major findings: low‐risk youths have high needs, low‐risk youths recidivate at high rates, unaddressed needs increase the likelihood of detention and recidivism, and behavioral health needs were among the strongest predictors of recidivism. The factors that lead to recidivism are discussed, and suggestions for improving outcomes are also presented.     

How well do dynamic needs predict recidivism? Implications for risk assessment and risk reduction

Purpose

The current study assessed the predictive validity of nine dynamic risk factors in two samples of justice-involved individuals (n = 24,972) to identify promising targets for correctional programming. The study also tested the incremental predictive validity of dynamic risk relative to static indicators of recidivism risk (i.e., criminal history, age and sex).

Methods

The study relied on bivariate correlations and stepwise multivariate logistic regression analyses to test the predictive and incremental validity of dynamic risk constructs measured by the Level of Service Inventory-Revised (LSI-R).

Results

Study findings revealed that while several dynamic risk constructs were significantly related to recidivism (antisocial attitudes, antisocial peers, education/employment, and substance abuse) over a 36-month follow-up period, the inclusion of dynamic risk items on the LSI-R did little to improve the overall predictive validity of the instrument. Across both study samples, static criminal history risk emerged as the most robust predictor of recidivism.

Conclusions

The advantages of third and fourth generation risk-need assessment tools are noted for classification purposes, but the study findings imply that risk prediction is better served by static risk factors. Implications for risk assessment and offender case management are discussed.     

LEVELS AND PREDICTORS OF RECIDIVISM: THE MALTA EXPERIENCE*

Research on recidivism has been confined primarily to a few highly industrialized Western nations (e.g., United States, Great Britain, Canada, and Australia) in which the data and resources needed for such research are readily available. The restriction of recidivism research to such a small number of nations begs the question: Do these results reflect patterns of offending and products of the criminal justice systems unique to these nations, or do they describe patterns of recidivism across a much wider range of social and cultural contexts? In this study I extend the scope of recidivism research by examining levels and patterns of recidivism in the Republic of Malta, a small Mediterranean island that differs considerably from the typical context in which recidivism is studied. Specifically, I examine the likelihood of recidivism among persons released from Malta's only prison between 1976 and 1994. In addition, I examine factors shown in previous research to be strong predictors of recidivism to assess their value as predictors of recidivism among Maltese prisoners. Proportional hazards regression models reveal that levels and predictors of recidivism in Malta approximate those observed in societies that are socially and culturally quite different. The findings suggest that the role of social institutions in reintegrating offenders into society may be more complex than commonly believed.     

Comparing Gender Across Risk and Recidivism in Nonviolent Offenders

The purpose of this study was to examine whether gender differences exist in the rate, type, and general predictors of recidivism for nonviolent offenders. A total of 328 male and female Texas state jail offenders were matched on current offense, total number of arrests, age, and race. Contrary to previous findings, the results demonstrated no significant gender differences for recidivism rates, although significant gender differences were found for those who had reoffended with property and prostitution offenses. Similar to previous findings, age and total arrests were significant predictors for both male and female offenders. In the current sample, substance abuse was predictive for male offenders only. Although no gender differences were found across the recidivism predictors of static and criminogenic need, the protective factors of positive social support significantly predicted recidivism for female offenders and not male offenders. The current results add to the understanding of gender differences for the assessment, risk prediction, and treatment of offenders.     

Significant Gender Differences in Factors Related to the Detention of Youthful Offenders

An important priority of the U.S. juvenile justice system is to reduce the number of youthful offenders who are placed into secure detention placement. Though significant research examining these predictors exists, there is limited analysis of gender-specific predictors. Using existing juvenile court and mental health assessment case records of 433 youthful offenders from two Midwestern U.S. counties, this study sought to identify separately for males and females the legal (including number of delinquency adjudications, age at first delinquency adjudication, number of court offenses, and type of offense) and extralegal (including demographic, maltreatment, mental health, and school-related disabilities) factors that impact recidivism to detention placement. Multivariate logistic regression analyses revealed that the predictors of recidivism leading to repeat secure detention placement were indeed different for males and females, although there were some shared predictors. For both genders, the number of court offenses and having a previous suicide attempt were significant predictors. In addition, for females, having a diagnosis of attention-deficit/hyperactivity disorder and a misdemeanor offense were protective against recidivism. For males, three other variables significantly predicted recidivism: age, race, and a conduct disorder diagnosis.     

How useful are psychometric scores in predicting recidivism for treated sex offenders?

This study examined the relationship between psychometric test scores, psychometric test profiles, and sexual and/or violent reconviction. A sample of 3,402 convicted sexual offenders who attended a probation service-run sexual offender treatment programme in the community completed a battery of psychometric tests pre- and posttreatment. Using Cox regression, posttreatment scores on measures of self-esteem, an ability to relate to fictional characters, and recognition of risk factors were, individually, predictive of recidivism. When psychometric tests were grouped into dynamic risk domains, only the pretreatment scores of the domain labelled socioaffective functioning (SAF) predicted recidivism and added predictive power to a static risk assessment. The number of risk domains that were dysfunctional pretreatment also predicted recidivism outcome; however, this did not add predictive power to a static risk assessment tool. Possible explanations for the superiority of pre- over posttreatment scores in predicting reconviction are discussed, and directions for further research considered.     

Incremental validity of ambulatory assessment of acute dynamic risk in predicting time to recidivism among prisoners on parole

ABSTRACT

This study investigates the incremental validity of changes in ten stress-related acute dynamic risk factors, collected through automated telephony over 30 consecutive days following parole, for predicting time to recidivism during the following year. Before release, the participants completed self-report assessment of some stable risk factors – impulsiveness and history of problematic substance use – as well as an assessment of symptoms of anxiety experienced during the weeks prior to release. Analysis of the baseline assessments showed that impulsiveness and a history of problematic substance use, but not pre-release symptoms of anxiety, were associated with recidivism during the parole year. Growth modelling using a linear mixed model was used to assess whether inmates on parole showed changes in acute dynamic risk factors during the first month following release. Individual growth model slopes and intercept were then extracted and used as covariates in a series of Cox regression analyses to test whether changes in acute dynamic risk factors could provide incremental predictive validity beyond baseline stable risk factors. Changes in five dynamic risk factors were associated with an increased risk of recidivism, of which daily drug use and daily summary score showed incremental predictive improvement beyond impulsiveness and history of problematic drug use.     

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.     

Sexual predator civil commitment: a comparison of selected and released offenders

This study compared two groups of sex offenders who were considered for civil commitment under Florida's Jimmy Ryce Act: Two hundred twenty-nine sex offenders who were recommended by forensic evaluators to be civilly committed and 221 sex offenders who were recommended for release. It was hypothesized that selected offenders would be more likely to display risk factors for sex offense recidivism than those who did not meet criteria. Data analyses revealed that selected offenders, as a group, scored significantly higher on actuarial risk assessment instruments. There were also significant differences between the groups on other risk factors that have been empirically correlated with sexual recidivism. Selected offenders had higher frequencies of paraphilia diagnoses and antisocial personality. These findings supported the hypotheses and suggested that evaluators are correctly selecting for civil commitment those sex offenders who have a mental abnormality predisposing them to sexual violence and who are at higher risk for reoffense.     

Risk factors for recidivism among spousal assault and spousal homicide offenders

Abstract

The Spousal Assault Risk Assessment Guide (SARA; Kropp et al., 1995) is a 20-item checklist for the structured professional assessment of risk for partner violence. This study reported on a retrospective follow-up of file-based SARA assessments of offenders convicted 1988–1990 in Sweden. A total of 88 male batterers referred for court-ordered forensic psychiatric evaluations were included. During the 7-year follow-up, twenty-five (28%) were re-convicted of spousal assault. A few SARA items were statistically significantly associated with increased risk of recidivism, namely: Items #3, Past violation of conditional release or community supervision, #10 Personality disorder with anger, impulsivity, or behavioural instability (psychopathy), and #16 Extreme minimisation or denial of spousal assault history. The severity of the index crime (#18 Severe and/or sexual assault) was negatively related to risk for recidivism during follow-up. Offenders scoring above the median on the SARA were at more than 2.5 higher the risk for recidivism than those scoring below the median. In terms of predictive validity, the SARA actuarial score exhibited a marginal but statistically significant improvement over chance in this sample.