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.
| Identifer | oai:union.ndltd.org:UTENN/oai:trace.tennessee.edu:utk_graddiss-1497 |
| Date | 01 August 2008 |
| Creators | Yang, Hongwei |
| Publisher | Trace: Tennessee Research and Creative Exchange |
| Source Sets | University of Tennessee Libraries |
| Detected Language | English |
| Type | text |
| Source | Doctoral Dissertations |
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