Computer-assisted judgment: defining strengths and liabilitiesClinicians 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.https://www.upress.umn.edu/test-division/bibliography/2000-2009/2000/a31aa27383344335afdd08762d2bf34bhttps://www.upress.umn.edu/logo.png
D K Snyder
(2000)
Computer-assisted judgment: defining strengths and liabilities