Evaluation of Statistical Techniques for Analyzing AFIT (Air Force Institute of Technology) Graduate Data.
Abstract
This research evaluated the most appropriate multivariate statistical techniques used to analyze AFIT graduate survey data. Given the categorical nature of the data, factor analysis, discriminant analysis, and multivariate analysis of variance (MANOVA) were evaluated in terms of how well the data conformed to the analysis assumptions as well as what inferences could be made about the data. The analysis was conducted using the questionnaires pertaining to the Strategic and Tactical Sciences (S&TS) Program in the Department of Operational Sciences, in which the graduates and their respective supervisors from the 1980 through 1983 classes were surveyed. These questionnaires contained assessments about the S&TS program and about each of the required courses. Factor analysis was used to reduce the number of variables representing the course area assessments to a smaller set of independent factors.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1984
- Accession Number
- ADA168364
Entities
People
- Carolyn A. Lohman
Organizations
- Air Force Institute of Technology