Re: Longitudinal comparison partial vs. whole sample

Posted by Bruce Weaver on Mar 04, 2013; 10:59pm
URL: http://spssx-discussion.165.s1.nabble.com/Longitudinal-comparison-partial-vs-whole-sample-tp5718123p5718363.html

Here are some links from the UCLA website that may be helpful.  You can also find several examples in the archive for this mailing list, many of them posted by Ryan.

http://www.ats.ucla.edu/stat/spss/library/spssmixed/mixed.htm
http://www.ats.ucla.edu/stat/spss/examples/alda/default.htm

HTH.

Swank, Paul R wrote

There is no real trick. Mixed models do not do listwise delition of missing data. So if you do a repeated measures analysis, the data is used for what it can be used for. For example, data availaible at only one time point can be used to estimate the variance but not the difference in means. I do not do my mixed models in SPSS so someone else will have to help with the syntax.

Paul R. Swank, Ph.D., Professor
Health Promotions and Behavioral Sciences
School of Public Health
University of Texas Health Science Center Houston
________________________________________
From: SPSSX(r) Discussion [[hidden email]] On Behalf Of Sebastian MB [[hidden email]]
Sent: Monday, March 04, 2013 8:15 AM
To: [hidden email]
Subject: Re: Longitudinal comparison partial vs. whole sample

Dear Paul, Rich and Bruce,

thank you for your quick replies and sorry I kept you waiting. I was quite
busy the past two weeks.

@ Paul: I will go with the mixed models approach. I would be VERY thankful
for a hint on a paper, which might have used a similar approach OR advice on
how to do this on SPSS.

@ Rich: What did you mean by "and (therefore) here is what you would see as
that test"?

@ Bruce: I have a few thousand data points per subject.

Best regards,

Sebastian



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