Journal article
QUANTIFYING THE INFORMATION VALUE OF CLINICAL ASSESSMENTS WITH SIGNAL DETECTION THEORY
Annual review of psychology, Vol.50(1), pp.215-241
02/1999
DOI: 10.1146/annurev.psych.50.1.215
PMID: 15012460
Abstract
▪ Abstract The aim of clinical assessment is to gather data that allow us to reduce uncertainty regarding the probabilities of events. This is a Bayesian view of assessment that is consistent with the well-known concept of incremental validity. Conventional approaches to evaluating the accuracy of assessment methods are confounded by the choice of cutting points, by the base rates of the events, and by the assessment goal (e.g. nomothetic vs idiographic predictions). Clinical assessors need a common metric for quantifying the information value of assessment data, independent of the cutting points, base rates, or particular application. Signal detection theory (SDT) provides such a metric. We review SDT's history, concepts, and methods and provide examples of its application to a variety of assessment problems.
Details
- Title: Subtitle
- QUANTIFYING THE INFORMATION VALUE OF CLINICAL ASSESSMENTS WITH SIGNAL DETECTION THEORY
- Creators
- Richard M McFall - Department of Psychology, Indiana University, Bloomington, Indiana 47405Teresa A Treat - Department of Psychology, Indiana University, Bloomington, Indiana 47405
- Resource Type
- Journal article
- Publication Details
- Annual review of psychology, Vol.50(1), pp.215-241
- DOI
- 10.1146/annurev.psych.50.1.215
- PMID
- 15012460
- ISSN
- 0066-4308
- eISSN
- 1545-2085
- Language
- English
- Date published
- 02/1999
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9984214741502771
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