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Date:         Fri, 14 Oct 2005 18:23:41 -0400
Reply-To:     Jeff Miller <jeffmiller@ALPHAPOINT05.NET>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Jeff Miller <jeffmiller@ALPHAPOINT05.NET>
Subject:      Re: mixed models
Content-Type: text/plain; format=flowed; charset="iso-8859-1";
              reply-type=original

I would one to disagree strongly about S&W's HLM approach. But, what do you mean by an "HLM perspective"?

Jeff

----- Original Message ----- From: <emaguin@acsu.buffalo.edu> Newsgroups: bit.listserv.spssx-l To: <SPSSX-L@LISTSERV.UGA.EDU> Sent: Friday, October 14, 2005 5:40 PM Subject: Re: mixed models

> Andrew, > > I've been looking for something like this too and i think the answer is > No. > The Singer and Willett book is very good and, while others may disagree > strongly, it feels like it's written from an HLM perspective. That said, > you should look at the UCLA website (www.ats.ucla.edu/stat/spss). The site > has worked examples of using spss to do growth models. The level of > detail, > in conjunction with the S&W book, is like what spss manuals used to be > like. Other than that, i think you might want to look at SAS > documentation. > In particular a book called something like Linear Mixed Models for SAS or > somthing like that. I have the ref at home. It is written by the guy who > wrote SAS's mixed model proc. Actually, i'm curious. A question for those > of you who use both spss and sas for mixed models--if there are any such > people. If you are familiar with this book, would it help somebody with > the > spss mixed model routine? > > Gene Maguin > >


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