PREDICTION BY CAREER FIELD OF FIRST TERM AIRMAN PERFORMANCE FROM SELECTION AND BASIC TRAINING VARIABLES
PERSONNEL RESEARCH LAB LACKLAND AFB TX
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To gain information that might be useful in improving airman classification, 29 predictor variables were evaluated by multiple regression techniques against a criterion of satisfactory performance during the first 2 years of enlistment. Variables included personal data, educational and aptitude data, peer ratings, and an instructor evaluation collected during basic training. The criterion was high airman performance rating vs low rating or discharge. Samples were drawn from 15 career fields. Predictive equations were derived for the full population and for each career-field sample. In all but 2 career fields prediction was improved by equations based on the career-field samples, but a full population equation was judged more immediately useful.
- Personnel Management and Labor Relations