Scoring a Performance‐Based Assessment by Modeling the Judgments of Experts

Abstract

Performance assessments typically require expert judges to individually rate each performance. This results in a limitation in the use of such assessments because the rating process may be extremely time consuming. This article describes a scoring algorithm that is based on expert judgments but requires the rating of only a sample of performances. A regression‐based policy capturing procedure was implemented to model the judgment policies of experts. The data set was a seven‐case performance assessment of physician patient management skills. The assessment used a computer‐based simulation of the patient care environment. The results showed a substantial improvement in correspondence between scores produced using the algorithm and actual ratings, when compared to raw scores. Scores based on the algorithm were also shown to be superior to raw scores and equal to expert ratings for making pass/fail decisions which agreed with those made by an independent committee of experts