A Study of Academic Success Predictor Variables for Students Enrolled in AFIT's (Air Force Institute of Technology's) Graduate Operations Research Programs

Abstract

The purpose of this study was to examine those measureable factors which contribute to Grade Point Performance in the Air Force Institute of Technology's Graduate Operations Research Programs. Student's undergraduate grade point averages and other performance indicators which could be quantified were submitted to statistical analysis. Regression models were then built to illustrate the relationships between the performance indicators and Graduate Grade Point Average. Some of the predictors were Graduate Records Examination scores, Undergraduate grade point averages, undergraduate institution, and martial status. This study showed that Graduate Grade Point Average cannot be predicted with any great degree of accuracy. There are many factors contributing to human behavior and performance. This study began to identify those measureable factors which contribute to the prediction equations which provide an indication of those variables which contribute to academic performance. Keywords: Regression analysis, Statistical analysis, Universities, Variables(predictor), Schools, Academic prediction.

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Document Details

Document Type
Technical Report
Publication Date
Mar 18, 1988
Accession Number
ADA190760

Entities

People

  • William N. Prokopyk

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Classification
  • Databases
  • Department Of Defense
  • Education
  • Engineers
  • Information Science
  • Mathematics
  • Operations Research
  • Regression Analysis
  • Schools
  • Statistical Analysis
  • Statistics
  • Students
  • United States
  • Universities

Fields of Study

  • Education

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