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Date:         Fri, 13 Nov 1998 01:57:42 -0600
Reply-To:     "Nichols, David" <nichols@SPSS.COM>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@UGA.CC.UGA.EDU>
From:         "Nichols, David" <nichols@SPSS.COM>
Subject:      Re: possible to do HLM with SPSS

An earlier post asked about random effects regression models, which is really asking the same question. Here's my response to that: No, not really. In the special cases of balanced models where the ML and REML estimates reduce to OLS estimates, yes, but in the more common unbalanced cases, only the OLS solutions are available. There is no way to declare a continuous covariate random. There are only two products that SPSS currently distributes that provide better options for such models. The BMDP procedure 5V fits unbalanced repeated measures models using ML or REML methods. WesVar Complex Samples 3.0 isn't designed for such models per se, but the difficult issues introduced by such models are the dependencies among errors for observations coming from the same units, and WesVar is designed to deal with these problems via replication methods.

David Nichols Principal Support Statistician and Manager of Statistical Support SPSS Inc.

> -----Original Message----- > From: John S. Painter [SMTP:painter@EMAIL.UNC.EDU] > Sent: Wednesday, November 11, 1998 9:02 AM > To: SPSSX-L@UGA.CC.UGA.EDU > Subject: possible to do HLM with SPSS > > Is it possible to do HLM modeling with SPSS? > > Thanks, > John P


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