A Regression Model for Predicting Academic Success of Prospective Students in the AFIT Graduate Logistics Management Program
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF SYSTEMS AND LOGISTICS
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Counselors in the Admissions Division at the Air Force Institute of Technology currently determine academic eligibility of graduate programs candidates subjectively on the basis of criteria defining minimum acceptable undergraduate grade point averages UGPA and graduate admissions test scores. The determination could be made more uniformly and efficiently by a regression model that could predict each candidates final graduate grade point average GGPA given his or her UPGA, test scores, and other background information. This study developed and validated such a model using data collected on 140 students of the Graduate Logistics Management GLM classes of 1986 through 1989. A regression model for predicting academic success fo prospective students in the AFIT graduate logistics management program. Mathematical prediction, Correlation techniques, Regression analysis, Personnel selection, Education.
- Logistics, Military Facilities and Supplies