Used generalizability theory to assess the impact of using independent, randomly equivalent groups of experts to develop scoring algorithms for computer simulation tasks designed to measure physicians' patient management skills. Results with three groups of four medical school faculty members each suggest that the impact of the expert group may be…

Describes an automated scoring algorithm for a computer-based simulation examination of physicians' patient-management skills. Results with 280 medical students show that scores produced using this algorithm are highly correlated to actual clinician ratings. Scores were also effective in discriminating between case performance judged passing or…

A scoring algorithm for performance assessments is described that is based on expert judgments but requires the rating of only a sample of performances. A regression-based policy capturing procedure was implemented for clinicians evaluating skills of 280 medical students. Results demonstrate the usefulness of the algorithm. (SLD)