Using Biodata to Select Air Traffic Controllers

Abstract

Biodata factors were examined as predictors of training performance for candidate air traffic control specialists (ATCSs). These factors, which have been shown to predict controller training performance in previous research, were highest educational degree achieved, grade point average both in high school overall and in high school math courses, aviation operations experience, pilot licenses held, and age. Results from logistic regression analyses were only partially supportive of previous research. Age was the most consistent (inverse) predictor of training success. Most of the other factors did not predict training success. Differences between these results and previous research might be attributed to differences in the criterion measures, samples, and generational differences. Overall, the evidence for using the assessed biodata factors for selection was weak. We suggested that a new biodata instrument be developed to assess and identify experiences to predict performance of the next generation of controllers.