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Quantifying the Accuracy of Forensic Examiners in the Absence of a “Gold Standard”

Overview of attention for article published in Law and Human Behavior, January 2010
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59 Mendeley
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3 CiteULike
Title
Quantifying the Accuracy of Forensic Examiners in the Absence of a “Gold Standard”
Published in
Law and Human Behavior, January 2010
DOI 10.1007/s10979-009-9197-5
Pubmed ID
Authors

Douglas Mossman, Michael D. Bowen, David J. Vanness, David Bienenfeld, Terry Correll, Jerald Kay, William M. Klykylo, Douglas S. Lehrer

Abstract

This study asked whether latent class modeling methods and multiple ratings of the same cases might permit quantification of the accuracy of forensic assessments. Five evaluators examined 156 redacted court reports concerning criminal defendants who had undergone hospitalization for evaluation or restoration of their adjudicative competence. Evaluators rated each defendant's Dusky-defined competence to stand trial on a five-point scale as well as each defendant's understanding of, appreciation of, and reasoning about criminal proceedings. Having multiple ratings per defendant made it possible to estimate accuracy parameters using maximum likelihood and Bayesian approaches, despite the absence of any "gold standard" for the defendants' true competence status. Evaluators appeared to be very accurate, though this finding should be viewed with caution.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 2%
Canada 1 2%
Unknown 55 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Master 8 14%
Professor > Associate Professor 7 12%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 5 8%
Other 20 34%
Unknown 4 7%
Readers by discipline Count As %
Psychology 29 49%
Medicine and Dentistry 9 15%
Social Sciences 4 7%
Computer Science 3 5%
Nursing and Health Professions 2 3%
Other 7 12%
Unknown 5 8%