Re: Estimating methods in SEM
In article [EMAIL PROTECTED], Kai Arzheimer [EMAIL PROTECTED] wrote: [EMAIL PROTECTED] (Rodney Carr) writes: 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? I did not notice the earlier article. The question is what is wanted, and why. If one wants to come up with estimates of quantities based on current values of other quantities, least squares and related methods are quite appropriate. If one wants to understand what is happening structurally, least squares is likely to give excessively high fits. A VERY old example is that of estimating the consumption function, C = \alpha + \beta * Y + error, Y being income. Now if one wants to come up with an estimate of this year's consumption from this year's income under unchanged conditions, least squares is fine. But if one wants to estimate the effect of a government making grants to people, the structural value of \beta, not the regression value of the LS coefficient \gamma, is what is wanted. -- This address is for information only. I do not claim that these views are those of the Statistics Department or of Purdue University. Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399 [EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558 = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: Estimating methods in SEM
[EMAIL PROTECTED] (Rodney Carr) writes:
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?
Hi Rodney, try the following sources:
SEMNET forum at http://www.gsu.edu/~mkteer/semnet.html (they feature an
archive of previous discussions which is quite helpful)
@Book{chou-bentler95,
booktitle ={Structural Equation Modeling. Concepts, Issues,
and Applications},
publisher ={Sage},
year = 1995,
editor = {Hoyle, Rick H.},
address = {Thousand Oaks, London, New Delhi}
}
@Book{kline98,
author = {Kline, Rex B.},
title ={Principles and Practice of Structural Equation Modeling},
publisher ={Guildford Press},
year = 1998,
address = {New York, London}
}
@Article{hoogland-boomsma98,
author = {Hoogland, Jeffrey J. and Anne Boomsma},
title ={Robustness Studies in Covariance Structure Modeling},
journal = {Sociological Methods \ Research},
year = 1998,
volume = 26,
pages ={329-367}
}
@Book{garson98,
author = {Garson, David},
title ={Structural Equation Modeling},
publisher ={College of Humanities and Social Sciences, North
Carolina State University},
year = 1998,
address = {\url{www2.chass.ncsu.edu/garson/pa765/structur.htm (13.11.00)}}
}
=
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
http://jse.stat.ncsu.edu/
=
Estimating methods in SEM
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 = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
