Hi SEM experts.
I am working with a structural equation model for predicting "Customer Satisfaction"
as part of a bigger project to investigate "Customer Retention". There are 4 latent
variables (factors) in the model, each measured by a number of variables. "Customer
Satisfaction" is an endogeneous variable, with the other three factors being
considered as predictors. I am using EQS for the number-crunching and everything seems
to be working ok.
The problem I am having is that I'm not sure what estimating method to use. EQS
implements a number of different methods (Maximum Likelihood, Least Squares, GLS,
etc). Unfortunately they give quite different results. Actually, LS gives fit indices
that are fairly high, but none of the others do (so I'd like to use the LS method!).
But I can't find any references that explain which method should be used. Please, do
you have any ideas for where I might look for advice?
Thanks
Rodney
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Rodney Carr
School of Management Information Systems
Deakin University
PO Box 423
Warrnambool VIC 3280
Australia
email: [EMAIL PROTECTED] phone: + 61 3 5563 3458
mobile: 0417 307 692 fax: + 61 3 5563 3320
www: http://www.man.deakin.edu.au/rodneyc
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