Learning Confirmatory Patterns in Exploratory Factor Analysis Using ICOMP and Genetic Algorithm

Author

Hongwei Yang, University of Tennessee - Knoxville

Date of Award

8-2008

Degree Type

Dissertation

Degree Name

Doctor of Philosophy

Major

Education

Major Professor

Schuyler W. Huck, Hamparsum Bozdogan

Committee Members

Tricia McClam, Russell Zaretzki

Abstract

The dissertation intends to develop a new approach to the identification of the best factor pattern structure. This new approach is a multivariate regression analysis where factor scores are regressed on original variables. The dissertation shows the versatility of information model selection criteria, Bozdogan's ICOMP- type criteria in particular, in two types of modeling problems: determining the number of factors in factor analysis and working as the fitness function for Genetic Algorithm.

Recommended Citation

Yang, Hongwei, "Learning Confirmatory Patterns in Exploratory Factor Analysis Using ICOMP and Genetic Algorithm. " PhD diss., University of Tennessee, 2008.
https://trace.tennessee.edu/utk_graddiss/436