Using Latent Class Analysis to Identify Need Typologies and Recidivism Likelihood Among Women Who Perpetrate Violence.

Understanding the heterogeneity of women who engage in violence is critical to provide effective treatment and reduce the likelihood of recidivism. Existing typologies of women who engage in violence have been created using mixed methodological approaches; the field would benefit from replication using a quantitative clustering method-latent class analysis (LCA)-as it is arguably more objective than methods used to date. A LCA was conducted using archival data involving 3,773 justice-impacted women in Western Canada to identify unique subgroups of women who perpetrate violence. Three distinct profiles emerged: (a) intimate partner violence (IPV)-only (40.5%), wherein almost all women reported only perpetrating domestic violence and had zero or only one previous violent conviction, (b) patterned (19.1%), wherein violence was perpetrated toward domestic partners and unknown victims, and the majority had two or more previous violent convictions, and (c) isolated (40.4%), wherein very few perpetrated domestic violence, some perpetrated violence toward unknowns, and the majority had either zero or only one previous conviction for a violent offense. Need profiles and recidivism outcomes were further analyzed as a function of group membership. As hypothesized, the group with the greatest criminal history and use of violence reported the greatest needs. Recidivism also increased as the number of dynamic needs increased. Notably, 80.9% of the sample was predominantly low risk/low need and were identified as IPV-only or isolated women. Implications of these findings may be used to inform risk classification, treatment targets, and treatment intensity required to reduce the likelihood of recidivism among women who perpetrate violence.

Assessment of Strengths in Criminal Justice System-Impacted Youth: A Retrospective Validation Study of the SAPROF-YV.

The Structured Assessment of Protective Factors for Violence Risk-Youth Version (SAPROF-YV; de Vries Robbé et al., 2015) was designed specifically to assess strengths as a complement to risk assessment tools. We retrospectively examined its reliability and validity in 305 Canadian community-sentenced youth, both in the overall sample and in male and female, and Black and White, subgroups. In all groups, the total score had strong internal consistency, inter-rater reliability, and convergent validity, and significantly predicted general recidivism at 3-year fixed follow-up. The SAPROF-YV showed incremental validity over the YLS/CMI only in Black youth. In the total sample, a moderation effect was identified whereby strengths were protective at lower levels of risk but not for moderate or high risk youth. The SAPROF-YV shows promising reliability and validity; however, more research is needed before clear guidance can be provided regarding the use of this measure in clinical practice.

Using Strength and Risk Factors to Inform Treatment Typologies Over Time for Men on Community Supervision.

This study examines treatment typologies over time and their relationship to reoffending outcomes. Latent transition analysis was conducted with 6,675 men on community supervision in Alberta, Canada using risk and strength factors measured by the Service Planning Instrument (Orbis Partners, 2003). Three timepoints were assessed: Time 1 = first assessment within 90 days of start of supervision, Time 2 = 3 to 8 months post initial assessment, and Time 3 = 9 to 14 months post initial assessment. Five profiles consistently emerged: Low risk/Low strength profile, Aggressive, complex need/Low strength profile, Moderate risk/Moderate strength profile, Low risk/High strength profile, and Non-aggressive, complex need/Low strength profile. At Time 3, a sixth profile emerged labeled Moderate complex need/Low strength. Profiles characterized as aggressive and those with complex needs had highest rates of reoffending. Results demonstrate the utility of incorporating strengths, mental health needs, and adverse childhood experiences in risk assessment protocols.

Risks, strengths, gender, and recidivism among justice-involved youth: A meta-analysis.

OBJECTIVE: Debate ensues regarding female-specific risk and strength factors among adolescent offenders. Using meta-analysis, we examined whether risk and strength factors predicted recidivism differentially between male and female youth. METHOD: Database searches identified 22 studies, representing 50,601 justice-involved youth (11,952 females and 38,649 males) and a total of 584 effect sizes. RESULTS: For the global risk domains, there is some evidence for gender neutrality (i.e., risk factors predict to the same degree for both males and females) among most domains (e.g., antisocial peer relations, problematic family circumstances and parenting, substance abuse, antisocial personality/behavior, and antisocial attitudes/orientation). Although the global domains of mental health and child abuse were not significantly predictive for either gender, the global child abuse results trended in favor of predicting recidivism for females. When global risk domains were broken into indicators, some evidence for gender differences emerged (e.g., chronic alcohol use and family substance abuse predicted more strongly for females than for males). Last, gender comparisons among the global strength domains revealed that prosocial peers and the absence of substance abuse predicted success (i.e., no recidivism) for both genders, though a stronger effect emerged for males. In addition, education/employment strengths predicted success for males, whereas prosocial values predicted success for females. Limitations such as the lack of studies that defined constructs from the female experience, and the small number of primary studies are discussed. CONCLUSIONS: Advancing the future of gender informed practice with justice-involved youth will require careful consideration of both gender similarities and differences. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Childhood Abuse, Nonsuicidal Self-Injury, and Suicide Attempts: An Exploration of Gender Differences in Incarcerated Adults.

The relationship between types of childhood abuse, suicide attempts, and nonsuicidal self-injury (NSSI) was examined in a sample of 415 incarcerated adults (268 men, 147 women). Men and women were equally likely to experience childhood abuse, although women were more likely to report sexual abuse and men were more likely to report emotional neglect. Sexual abuse was the only type of abuse found to predict NSSI and suicide attempts in women. For men, physical abuse and physical neglect were significant predictors of NSSI and suicide attempts, respectively. Gender differences exist and should be examined in future research in this area.

Validity of the youth assessment and screening instrument: A juvenile justice tool incorporating risks, needs, and strengths.

The primary purpose of this study is to introduce the Youth Assessment and Screening Instrument (YASI; Orbis Partners, 2000), which is a comprehensive assessment protocol gauging a range of risks, needs, and strengths associated with criminal conduct in juvenile populations. Applied to a sample of 464 juvenile offenders bound by community supervision in Alberta, Canada, the Pre-Screen version of the instrument achieved a high level of accuracy in predicting both general and violent offenses over an 18-month follow-up period (Area Under the Curve [AUC] = .79). No significant differences in overall predictive validity were found across demographic groups, save for the relatively lower level of accuracy achieved in predicting general reoffending across the subsample of girls (AUC = .68). With regard to strengths, a buffering effect was identified whereby high-risk cases with higher levels of strength had superior outcomes compared to their lower strength counterparts. Results suggest that it is advisable to consider the quantitative inclusion of strength-based items in the assessment of juvenile risk.

The Strengths Assessment Inventory-Youth Version: An evaluation of the psychometric properties with male and female justice-involved youth.

Strengths constitute an important element of developmental assessments. It is consistent with evidence-based practice to use assessment tools that adequately measure a given construct and are appropriate for use with their targeted population. The Strengths Assessment Inventory-Youth Version (SAI-Y; Rawana & Brownlee, 2010)-a self-report measure of personal strengths, self-concept, and emotional functioning-was administered to 230 male and female adolescent offenders. Confirmatory factor analyses revealed that the SAI-Y's factor structure demonstrated an acceptable fit overall, while some factors fit the data well, and fewer factors displayed a questionable fit. A majority of scale scores were found to exhibit good reliability for both sexes, with three empirical scale scores demonstrating poor reliability. In addition, scores on the SAI-Y also achieved satisfactory convergent and divergent validity. Total strength scores were significantly correlated in the expected direction with most theoretically related measures of emotional and behavioral functioning (e.g., self-esteem, treatment readiness, antisocial attitudes). Lastly, moderate gender effects and small ethnicity differences in response patterns were found. This was the first validation study of the SAI-Y with a justice-involved sample and the results suggest it is an appropriate measure for use with both male and female justice-involved young persons in detention and in the community. (PsycINFO Database Record

The dynamic prediction of criminal recidivism: a three-wave prospective study.

A three-wave, prospective panel design was used to assess the extent to which static and dynamic risk factors could predict criminal recidivism in a sample of 136 adult male offenders released from Canadian federal prisons. Static measures were assessed only once, prior to release while dynamic measures were assessed on three separate occasions: pre-release, 1 month, and 3 months post-release. Recidivism was coded during an average of 10.2-month follow-up period (SD=19.2). A series of Cox regression survival analyses with time-dependent covariates and Receiver Operator Characteristic (ROC) analyses were conducted to assess predictive validity. Although the combined static and time-dependent dynamic model (AUC=.89, CI=.81-.93) significantly (p<.01) outperformed the pure static model (AUC=.81, CI=.73-.87) the confidence intervals did overlap to some extent. Implications for dynamic risk assessment and management are discussed.