A Study to Develop Useful Regression Models for Predicting Performance at the School of Systems and Logistics Graduate Education Division with Emphasis on the Quantitative Courses.

Abstract

The implications of the report are that a knowledge of quantitative areas is becoming increasingly more important in the logistics career fields. Therefore the study has emphasized predicting academic performance in quantitative courses in graduate logistics. It was expected that a useful model of this type, in conjunction with the other models, would find practical application in the future by making possible the identification of those applicants with the greatest probability of success.

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1973
Accession Number
AD0760096

Entities

People

  • Jerald R. Alderman
  • Richard L. Picard

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Education
  • Identification
  • Logistics

Readers

  • Computational Modeling and Simulation
  • Psychometric Testing or Psychological Assessment.
  • Systems Analysis and Design