An Assessment of Biodata Predictive Ability across Multiple Performance Criteria

Although selection tests are typically validated against only a single criterion, calls in the personnel selection literature urge the examination of selection devices across multiple criteria. This study examined biodata criterion-related validity across multiple performance criteria in a sample of 6,036 automated systems controller applicants. The performance measures examined included a paper and pencil knowledge test, behavioral ratings of simulation performance, and a paper and pencil test of simulated problems. The results suggested that the biodata instrument was useful in predicting performance across a number of criteria. The use of a shortened biodata scale captured 89% of the corrected criterion validity obtained from the original 142-item biodata instrument. Practical implications of these findings are discussed. ____________________________________________________________________