Computer-Based Psychomotor Tests in Optimal Training Track Assignment of Student Naval Aviators.

摘要

The purpose of our investigation was to determine if computer-based selection tests could predict training track assignment for student naval aviators. This study evaluated the predictive efficacy of an experimental battery of computer-based pilot selection tests for training classification. Student naval aviators are currently assigned to an aircraft training track based primarily on performance in primary training. Students were tested on the experimental test battery and classified into one of three aircraft training tracks based on their test scores. The resulting classifications were compared to actual selections made as the students progressed through naval aviation training. Using a sample of 237 students, linear analyses were conducted to evaluate the efficacy of predicted decisions. The unique contribution of the experimental battery was determined by comparing scores on the experimental battery to scores on the Navy/Marine Corps Aviation Selection Test Battery, a paper-and-pencil pilot selection test used by the United States Navy and Marine Corps, and student primary flight training grades. A significant classification model including one of the experimental selection tests was derived. The model was able to significantly predict fast attack pipeline selections before flight training.