| Another Look at the (Im-)Precision of Individual Risk Estimates Made Using Actuarial Risk Assessment Instruments. | |
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MedLine Citation:
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PMID: 23322617 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We investigated the precision of individual risk estimates made using actuarial risk assessment instruments (ARAIs) by discussing some major conceptual issues and then illustrating them by analyzing new data. We used a standard multivariate statistical procedure, logistic regression, to create a new ARAI based on data from a follow-up study of 90 adult male sex offenders. We indexed predictive precision at the group level using confidence intervals for group mean probability estimates, and at the individual level using prediction intervals for individual probability estimates. Consistent with past research, ARAI scores were moderately and significantly predictive of failure in the aggregate, but group probability estimates had substantial margins of error and individual probability estimates had very large margins of error. We conclude that, without major advances in our understanding of the causes of violence, ARAIs cannot be used to estimate the specific probability or absolute likelihood of future violence with any reasonable degree of precision or certainty. The implications for conducting violence risk assessments in forensic mental health are discussed. Copyright © 2013 John Wiley & Sons, Ltd. |
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Authors:
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Stephen D Hart; David J Cooke |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2013-1-16 |
Journal Detail:
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Title: Behavioral sciences & the law Volume: - ISSN: 1099-0798 ISO Abbreviation: Behav Sci Law Publication Date: 2013 Jan |
Date Detail:
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Created Date: 2013-1-16 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8404861 Medline TA: Behav Sci Law Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2013 John Wiley & Sons, Ltd. |
Affiliation:
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Also at Faculty of Psychology, University of Bergen. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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