Information Theoretic Analysis of Questionnaire Data.
Abstract
We consider three important problems in the analysis of categorical questionnaire data. First, assessment of question worth and variable selection, second, the assessment of question validity using a pretest, and third, discrete discriminant analysis when the data is non-ordinal. The unifying approach used throughout is the concept of information theoretic distance measures. Simulations and applications to real data are presented. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1979
- Accession Number
- ADA069019
Entities
People
- A. Levine
- P. Brockett
- P. Haaland
Organizations
- University of Texas at Austin