An Etiological Approach to Sexual Offender Assessment: CAse Formulation Incorporating Risk Assessment (CAFIRA)

Contact sex offenders with adult and minor victims: Psychopathological and criminological differences

BACKGROUND

Effective classification of individuals who commit sexual offences is important for their assessment, treatment, and risk management. Victim age has often been used as a distinguishing factor between perpetrators.

OBJECTIVE

This study aimed to analyse the distinctive psychopathological and criminological characteristics of contact sexual offenders with adult and minor victims.

PARTICIPANTS AND SETTING

The study involved 97 adult males who were serving a prison sentence in Spain for at least one contact sexual offence against an adult or a minor.

METHODS

Researchers gathered data on criminological variables concerning the offender, victim, and modus operandi from prison records and interviews. Participants completed the Millon Clinical Multiaxial Inventory-III (MCMI-III) in a second session, and between-group differences were analysed.

RESULTS

Sex offenders with minor victims (SOMV) had significantly lower scores than sex offenders with adult victims (SOAV) on the Antisocial (r = -0.283, p = .005) and Sadistic (r = -0.209, p = .04) personality subscales, and on the Alcohol (r = -0.426, p < .001) and Drug dependence (r = -0.332, p = .001) syndrome subscales. SOAV were also more likely to use violence and/or intimidation, use a weapon, offend against female victims, offend against an intimate partner, commit their offences in public places, serve other ongoing prison sentences, and report a history of alcohol and substance abuse. SOMV were older and more likely to offend against family members.

CONCLUSIONS

These results suggest that there are key differences between SOAV and SOMV that should be considered in tailored prevention programmes for each subgroup of offenders.

Learning From Consumers of Mandated Sex-Offending Programs: "It's Not Treatment, I Wish It Was."

The purpose of this qualitative study was to explore clients' perceptions of sex-offending treatment. The sample included 291 people required to register as sex offenders in the U.S. who answered an open-ended question in an online survey asking them to describe their positive and negative experiences in mandated treatment. Using qualitative analysis, three overarching themes (with several subthemes) were identified: (1) positive and (2) negative treatment experiences and (3) the affiliation between the criminal justice system and clinical services. Experiences in sex offending treatment were viewed as positive when clients had opportunities to learn about themselves, experience group cohesion, build a positive alliance with a caring therapist, learn tools and skills for emotional health, explore the roots of offense behavior, and create healthy life plans to reduce risk for re-offending. Negative themes emerged when treatments were viewed as coercive, confrontational, or demeaning; when therapists seemed inexperienced or unqualified; and when seemingly outdated or unscientific methods were emphasized without explanation or dialogue. The entanglement between court-mandated treatment providers and the criminal justice system led to concerns about confidentiality, conflicts of interest, and role ambiguity. Drawing upon literature related to therapeutic alliance, trauma-informed care, and Risk-Need-Responsivity models, we offer suggestions for integrating client feedback to improve treatment responsivity and prevent re-offending.

Machine Learning and Risk Assessment: Random Forest Does Not Outperform Logistic Regression in the Prediction of Sexual Recidivism

Although many studies supported the use of actuarial risk assessment instruments (ARAIs) because they outperformed unstructured judgments, it remains an ongoing challenge to seek potentials for improvement of their predictive performance. Machine learning (ML) algorithms, like random forests, are able to detect patterns in data useful for prediction purposes without explicitly programming them (e.g., by considering nonlinear effects between risk factors and the criterion). Therefore, the current study aims to compare conventional logistic regression analyses with the random forest algorithm on a sample of N = 511 adult male individuals convicted of sexual offenses. Data were collected at the Federal Evaluation Center for Violent and Sexual Offenders in Austria within a prospective-longitudinal research design and participants were followed-up for an average of M = 8.2 years. The Static-99, containing static risk factors, and the Stable-2007, containing stable dynamic risk factors, were included as predictors. The results demonstrated no superior predictive performance of the random forest compared with logistic regression; furthermore, methods of interpretable ML did not point to any robust nonlinear effects. Altogether, results supported the statistical use of logistic regression for the development and clinical application of ARAIs.

“Hurt people hurt other people”: The link between past trauma and sexual offending

Background

A growing body of research documents the high rates of trauma among individuals who have sexually offended. Yet the relationship between prior victimization and subsequent sexual offending remained unclear. Objective: By including the voices and perspectives of individuals convicted of sexual offenses, we sought to strengthen professionals’ understanding of the connection between victimization and offending.

Method

This qualitative study used an online survey to collect data from individuals convicted of sexual offenses (n = 195) with the aims of understanding their perceptions of the link between trauma and offending and what they would like sex-offense treatment providers to know about this connection.

Results

Using grounded theory, five major themes emerged from the data analysis: Relationship between Trauma Offending (n = 91), Acknowledging the Connection (n = 57), Specific Effects of Trauma (n = 48), Individualized Treatment (n = 34), and Recognition of Humanity (n = 26).

Conclusions

The participants perceived a strong connection between one’s own victimization and subsequent sexual offending. In addition, they offered specific recommendations for treatment providers, including individualizing treatment with an emphasis on humanity and compassion. Implications for trauma-informed practice and policy are discussed.