Improving the Predictive Accuracy of Static-99 and Static-2002 With Older Sex Offenders

Helmus, L. Maaike; Thornton, David; Hanson, R. Karl; Babchishin, Kelly M.

doi:10.1177/1079063211409951

Cited by 358 publications

(465 citation statements)

References 55 publications

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“…The ten-item Static-99R (Helmus et al, 2012) is a modified version of the Static-99 (Hanson & Thornton, 2000), the most widely used actuarial sex offender risk assessment instrument. It is based on empirically validated risk factors for sexual recidivism.…”

Section: Static-99rmentioning

confidence: 99%

“…It is based on empirically validated risk factors for sexual recidivism. The modified Static-99R with revised age-weights has been shown to better estimate sexual as well as violent recidivism rates in the validation sample than its former versions (Helmus et al, 2012). Although Static-99R coding rules exclude internet sexual offenders, we chose to use it for this offender subgroup as well.…”

Section: Static-99rmentioning

confidence: 99%

See 1 more Smart Citation

Direct and Indirect Measures of Sexual Maturity Preferences Differentiate Subtypes of Child Sexual Abusers

Schmidt

Gykiere²,

Vanhoeck³

et al. 2013

Sex Abuse

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To aid risk assessment, management, and treatment planning it is essential to assess child sexual abusers’ deviant sexual interests (DSI) and preferences (DSP) for sex with children. However, measurement of DSI/DSP is fraught with psychometric problems. In consequence, research interest has shifted to latency-based indirect measures as a measurement approach to complement self-report and physiological assessment. Utilizing the Explicit and Implicit Sexual Interest Profile (EISIP)—a multimethod approach consisting of self-report, viewing time, and Implicit Association Test (IAT) DSI/DSP measures—we replicated phallometric DSI/DSP differences between child sexual abuser subgroups in a sample of intrafamilial, extrafamilial, and child pornography offenders. DSI/DSP was associated with recidivism risk, offense-behavioral measures of pedophilic interest, and sexual fantasizing. It also negatively correlated with antisociality. Distinguishing between child sexual abuser subtypes and being related to recidivism risk, the EISIP is a useful tool for sexual offender assessments.

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Section: Static-99rmentioning

confidence: 99%

Section: Static-99rmentioning

confidence: 99%

Direct and Indirect Measures of Sexual Maturity Preferences Differentiate Subtypes of Child Sexual Abusers

Schmidt

Gykiere²,

Vanhoeck³

et al. 2013

Sex Abuse

View full text Add to dashboard Cite

show abstract

“…The Static-99R items are identical to Static-99 with the exception of updated age weights. Static-99R, Static-2002R (Hanson & Thornton, 2003Helmus et al, 2012) is an empirical actuarial risk assessment tool for adult male sexual offenders (see also www.static99.org). It has 14 items grouped into five main subscales: age at release, persistence of sex offending, sexual deviance, relationship to victims, and general criminality.…”

Section: Methodsmentioning

confidence: 99%

“…Static-99R (Hanson & Thornton, 2000;Helmus, Thornton, Hanson, & Babchishin, 2012) is an empirically derived actuarial risk assessment tool designed to predict sexual recidivism in adult male sexual offenders using commonly available information (see also www.static99.org). It has 10 items related to demographic (e.g., age), criminal history (e.g., past sexual offences), and victim choice (e.g., any male victims).…”

Section: Methodsmentioning

confidence: 99%

Latent Constructs of the Static-99R and Static-2002R

et al. 2015

Self Cite

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The most commonly used risk assessment tools for predicting sexual violence focus almost exclusively on static, historical factors (e.g., characteristics of prior offences). Consequently, they are assumed to be unable to directly inform the selection of treatment targets or evaluate change. In this article, we argue that this limitation can be mitigated by using latent variable models as a framework to link historical risk factors to the psychological characteristics of offenders. Accordingly, we conducted a factor analysis of the 13 nonredundant items from the two most commonly used risk tools for sexual offenders (Static-99R and Static-2002R) to identify the psychological information contained in these tools. Three factors were identified: (a) persistence/paraphilia, a construct related to sexual criminality, especially of the pedophilic type; (b) youthful stranger aggression, a construct centered on young age and offence seriousness; and (c) general criminality, a construct that reflected the diversity and magnitude of criminal careers. These constructs predicted sexual recidivism with similar accuracy, but only youthful stranger aggression and general criminality predicted nonsexual recidivism. These results indicate that risk tools for sexual violence are multidimensional, and support a shift from a focus on atheoretical risk markers to the assessment of psychologically meaningful constructs.

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“…All participants' files were studied by trained coders to retrospectively code the items of the STATIC-99R (Hanson & Thornton, 2000;Helmus, Thornton, Hanson, & Babchishin, 2012). Of note, none of the offenders were assessed for risk level with a structured actuarial risk assessment instrument at their conviction, nor at the start of their treatment.…”

Section: Methodsmentioning

confidence: 99%

Risk Levels, Treatment Duration, and Drop Out in a Clinically Composed Outpatient Sex Offender Treatment Group

Smid¹,

Kamphuis²,

Wever³

et al. 2014

J Interpers Violence

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Previous research in the Netherlands documented that clinical judgment may yield a substantial amount of treatment referrals for sexual offenders that are inconsistent with actuarial risk assessment and the Risk Need Responsivity (RNR) principles. The present study tested the risk level distribution of a high-intensity, open-format outpatient treatment group. Eighty patients were enrolled during a 620-week period, and their STATIC-99R risk levels were retrospectively determined. The distribution of risk levels in this treatment group did not differ from the distribution of a representative sample of sex offenders referred to outpatient treatment in the Netherlands between 1996 and 2002 ( n = 145), nor from the combined Canadian samples ( n = 2011) used to assess STATIC-99R normative percentile. These findings suggest that no selection in terms of actuarial risk level occurred between conviction and treatment, leading to over-inclusion of low risk offenders in this high-intensity outpatient treatment group. It is concluded that the standard use of structured risk assessment for the compilation of treatment groups may improve both the effectiveness and efficiency of sex offender treatment in the Netherlands.

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Improving the Predictive Accuracy of Static-99 and Static-2002 With Older Sex Offenders

Cited by 358 publications

References 55 publications

Direct and Indirect Measures of Sexual Maturity Preferences Differentiate Subtypes of Child Sexual Abusers

Direct and Indirect Measures of Sexual Maturity Preferences Differentiate Subtypes of Child Sexual Abusers

Latent Constructs of the Static-99R and Static-2002R

Risk Levels, Treatment Duration, and Drop Out in a Clinically Composed Outpatient Sex Offender Treatment Group

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