Document Detail


Classification Accuracy of Actuarial Risk Assessment Instruments.
MedLine Citation:
PMID:  23322608     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Users of commonly employed actuarial risk assessment instruments (ARAIs) hope to generate numerical probability statements about risk; however, ARAI manuals often do not explicitly report data that are essential for understanding the classification accuracy of the instruments. In addition, ARAI manuals often contain data that have the potential for misinterpretation. The authors of the present article address the accurate generation of probability statements. First, they illustrate how the reporting of numerical probability statements based on proportions rather than predictive values can mislead users of ARAIs. Next, they report essential test characteristics that, to date, have gone largely unreported in ARAI manuals. Then they discuss a graphing method that can enhance the practice of clinicians who communicate risk via numerical probability statements. After the authors review several strategies for selecting optimal cut-off scores, they show how the graphing method can be used to estimate positive predictive values for each cut-off score of commonly used ARAIs, across all possible base rates. They also show how the graphing method can be used to estimate base rates of violent recidivism in local samples. Copyright © 2013 John Wiley & Sons, Ltd.
Authors:
Daniel J Neller; Richard I Frederick
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-16
Journal Detail:
Title:  Behavioral sciences & the law     Volume:  -     ISSN:  1099-0798     ISO Abbreviation:  Behav Sci Law     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8404861     Medline TA:  Behav Sci Law     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 John Wiley & Sons, Ltd.
Affiliation:
Independent Practice, P.O. Box 1194, Wynne, AR, 72396, U.S.A.
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