Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The Consideration of Empirically Unsupported Risk Factors in Risk Assessment Reports About Individuals Convicted of Sexual Offenses

Bibliographic Data

ID21424764
AuthorsMaximilian Wertz (0009-0007-6744-3956, Ludwig-Maximilians-University Munich, corresponding author), Maren Giersiepen (0009-0000-8255-2930, Ludwig-Maximilians-University Munich), Kolja Schiltz (0000-0003-3788-3241, Ludwig-Maximilians-University Munich), Martin Rettenberger (0000-0002-0979-4295, Johannes Gutenberg-University)
Year2026
Volume53
Issue5
Pages640-657
Publication date2026-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCriminal Justice and Behavior (JOURNAL)
Journal identifiersISSN: 0093-8548 • E-ISSN: 1552-3594
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00938548251397535
OpenAlexW7117765166
LanguageEN
References cited47

Accurate risk assessment of individuals convicted of sexual offenses is crucial to prevent reoffending and prolonged institutionalization. However, findings indicate a heterogenous quality of risk assessment reports. Some of the qualitative variance may reflect differences in the strength of empirical evidence linking risk factors to reoffending. Some factors that have historically been important treatment targets have meta-analytically been shown to be empirically unsupported. To investigate the influence of unsupported risk factors on the decision-making process, the present study examined risk assessment reports ( N = 304) conducted between 1999 and 2016. Results showed a heterogenous consideration of empirically (un)supported risk factors. Reports following a structured risk assessment approach considered significantly more empirically supported risk factors than reports based on an unstructured, clinical-intuitive assessment procedure. Taken together, our findings provide further support for the use of structured and standardized risk assessment procedures and caution expert witnesses against incorporating empirically unsupported risk factors

Injury prevention · Poison control · Quality (philosophy) · Recidivism · Risk assessment · Risk management tools · Suicide prevention · Criminal Justice and Corrections Analysis · Human Factors and Ergonomics · Psychopathy, Forensic Psychiatry, Sexual Offending · Sexual Assault and Victimization Studies

  • Clinical versus statistical prediction

    Paul E Meehl•1954

  • Applied Logistic Regression

    Open Access•David W Hosmer, David W Jr Hosmer et al.•Applied Logistic Regression•2013

  • The accuracy of recidivism risk assessments for sexual offenders

    R Karl Hanson, Kelly E Morton-Bourgon•Psychological Assessment•2009

  • Comparing effect sizes in follow-up studies

    Marnie E Rice, Grant T Harris•Law and Human Behavior•2005

  • Clinical versus mechanical prediction

    William M Grove, David H Zald et al.•Psychological Assessment•2000

  • Assessing Risk for Sexual Recidivism

    Open Access•Ruth E Mann, R Karl Hanson et al.•Sexual Abuse•2010

  • The Measurement of Observer Agreement for Categorical Data

    J R Landis, Gary G Koch•Biometrics•1977

  • Die deutschsprachige Version der Violence Risk Scale – Sexual Offense Version (VRS-SO)

    Kathrin Gaunersdorfer, Reinhard Eher•Monatsschrift für Kriminologie…•2023

  • The cognitive underpinnings of bias in forensic mental health evaluations

    Tess M S Neal, Thomas Grisso•Psychology Public Policy and Law•2014

  • The prediction of criminal and violent recidivism among mentally disordered offenders

    James Bonta, Moira Law et al.•Psychological Bulletin•1998

  • The Meta-Analysis of Clinical Judgment Project

    Open Access•Stefanía Ægisdóttir, Michael J White et al.•The Counseling Psychologist•2006

  • The prediction of criminal and violent recidivism among mentally disordered offenders

    James Bonta, Moira Law et al.•Psychological Bulletin•1998

  • Weighted kappa

    Jacob Cohen•Psychological Bulletin•1968

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae