Re: Estimating methods in SEM

2001-05-03 Thread Kai Arzheimer

[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)}}
}


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variance of vector of random variates

2001-04-13 Thread Kai Arzheimer

Dear all,

suppose I have a vector of several random variates with zero mean and
known variances. What would be the formula to compute the variance of
this vector?

Thanks a lot & happy easter

Kai


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Re: Recommend multiple regression text please

2001-02-07 Thread Kai Arzheimer

Elliot Cramer <[EMAIL PROTECTED]> writes:

> In sci.stat.edu Jim Kroger <[EMAIL PROTECTED]> wrote:
> 
> I think you need a statistician rather than a book

In case you have no statistician at hand, try John Fox: Applied
Regression Analysis, Linear Models, and Related Methods, Sage 1997.



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