Computer-assisted judgment: defining strengths and liabilities |
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Authors: | Snyder D K |
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Affiliation: | Department of Psychology, Texas A&M University, College Station 77843-4235, USA. dks@psyc.tamu.edu |
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Abstract: | Clinicians often fail to recognize limitations in their own subjective judgments, make use of well-developed mechanical-prediction methods, or carefully evaluate which computer-based aids warrant their consideration. This article addresses issues regarding computer-based test interpretations (CBTIs) and computer-based decision making. Comments highlight conclusions reached by other contributors to this Special Section, additional literature bearing on these observations, and implications for consumers of computer-assisted techniques and researchers developing or evaluating these methods. The future of computer-assisted assessment depends on educating clinicians and researchers to be better consumers of existing as well as emerging technologies in this domain. |
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