Enhancing Productivity in Naval Aviation Training in a Market of Changing Demographics.

This study analyzes CNATRA Automated Training Jackets, a new survey of NASC accessions, and extensive structured interview data to 1 describe the complex flow of Student Naval Aviators SNAs through the various paths of the aviation training pipeline in terms of attritioncompletion patterns and training times 2 examine the extent to which technical major and AQTFAR scores predict training success for Student Naval Flight Officers SNFOs and Student Naval Pilots SNPs, respectively 3 analyze differences in the training outcomes for minority and nonminority candidates 4 develop a new survey instrument for Naval Aviation Schools Command NASC that provides detailed biographical information on naval aviation accessions 5 establish an automated data base that collates information from the accession survey with performance data, for the purpose of monitoring trends and identifying background and experiential indicators for the whole-man concept in naval aviation recruitment and selection 6 recommend enhancement in recruitment, selection, and the training process which can reduce failures and increase efficiency while maintaining the high quality that is the hallmark of naval aviation 7 outline promising strategies for further research, including potential experiments as well as analyses of automated data bases.