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Are risk assessment tools more accurate than unstructured judgments in predicting violent, any, and sexual offending? A meta‐analysis of direct comparison studies

Dados Bibliográficos

ID21558263
AutoresJodi L Viljoen (0000-0002-1609-0202, Department of Psychology Simon Fraser University Burnaby British Columbia Canada), Ilvy Goossens (0000-0002-1014-234X, Department of Psychology Simon Fraser University Burnaby British Columbia Canada, autor correspondente), Sanam Monjazeb (0000-0002-5243-6469, Department of Psychology Simon Fraser University Burnaby British Columbia Canada), Dana M Cochrane (0000-0003-0187-364X, Department of Psychology Simon Fraser University Burnaby British Columbia Canada), Lee M Vargen (0000-0002-8913-8537, Department of Psychology Simon Fraser University Burnaby British Columbia Canada), Melissa R Jonnson (0000-0003-3788-6020, Department of Psychology Simon Fraser University Burnaby British Columbia Canada), Adam J E Blanchard (0009-0006-6189-9576, Department of Psychology Simon Fraser University Burnaby British Columbia Canada), Shanna M Y Li (0000-0002-3247-2286, Department of Psychology Simon Fraser University Burnaby British Columbia Canada), Jourdan R Jackson (0000-0003-3735-7671, Department of Psychology Simon Fraser University Burnaby British Columbia Canada)
Ano2025
Volume43
Fascículo1
Páginas75-113
Data de publicação2025-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoBehavioral Sciences & the Law (JOURNAL)
Identificadores do periódicoISSN: 0735-3936 • E-ISSN: 1099-0798
EditoraWiley (PUBLISHER • GB)
DOI10.1002/bsl.2698
PMID39363308
OpenAlexW4403092826
IdiomaEN
Citações recebidas7
Referências citadas121

We conducted a pre‐registered meta‐analysis of studies that directly compared the predictive validity of risk assessment tools to unstructured judgments of risk for violent, any, or sexual offending. A total of 31 studies, containing 169 effect sizes from 45,673 risk judgments, met inclusion criteria. Based on the results of three‐level mixed‐effects meta‐regression models, the predictive validity of total scores on risk assessment tools was significantly higher than that of unstructured judgments for predictions of violent, any, and sexual offending. Tools continued to outperform unstructured judgments after accounting for risk of bias. This finding was also robust to variations in population, assessment context, and outcome measurement. Although this meta‐analysis provides support for the use of risk assessment tools, it also highlights limitations and gaps that future research should address

Computer security · Injury prevention · Medical emergency · Meta-analysis · Occupational safety and health · Poison control · Risk assessment · Suicide prevention · Clinical Psychology · Computer Science · Crime Patterns and Interventions · Criminal Justice and Corrections Analysis · Human Factors and Ergonomics · Medicine · Psychology · Psychopathy, Forensic Psychiatry, Sexual Offending

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Obras citantes distintas7
Citações por ano7
Intervalo de citações2025 - 2026 (2)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 7
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