Computer-assisted judgment: defining strengths and liabilities.
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.
Snyder
D K
DK
Department of Psychology, Texas A&M University, College Station 77843-4235, USA. dks@psyc.tamu.edu
D003658:Decision Making, Computer-Assisted; D003936:Diagnosis, Computer-Assisted / Q000706:statistics & numerical data*; D006801:Humans; D008432:Mathematical Computing; D010552:Personality Assessment / Q000706:statistics & numerical data*; D011594:Psychometrics; D015203:Reproducibility of Results