Profiles of Successful and Unsuccessful Graduate Engineering Management Students.

Abstract

The Air Force makes a large investment when it sends a person to the Air Force Institute of Technology (AFIT) School of Systems and Logistics Graduate Engineering Management (GEM) program; therefore, it is important to minimize the number of unsuccessful students. This research project determined both the characteristics present in successful GEM students (students who completed the program on schedule) and those characteristics which could be used in predicting academic success. A variety of personal, military, attitudinal, and educational characteristics was used to develop profiles of successful and unsuccessful students. Several statistical analysis techniques were used to test for differences among these profiles. Seven student characteristics (years in the military, AFIT engineering GPA, AFIT socio-humanistic GPA, AFIT analytical GPA, cumulative AFIT GPA, advisor advised in past three years, and where an advisor works) were found statistically different between the successful and unsuccessful students. Factor and discriminant analyses were used to determine the best predictors of success. Nine students characteristics (age, years in the military, months since undergraduate math, aviation cadet, 'other' engineering degree, and undergraduate GPA) were good predictors of performance in the GEM program. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA134418

Entities

People

  • David A. Humphrey

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Analysis Of Variance
  • Civil Engineering
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Discriminant Analysis
  • Factor Analysis
  • Information Science
  • Knowledge Management
  • Literature Surveys
  • Military Education
  • Regression Analysis
  • Statistical Analysis
  • Students
  • Surveys

Fields of Study

  • Education

Readers

  • Military Leadership and Professional Education.
  • Regression Analysis.
  • STEM Education