Posted by
David Greenberg on
Apr 23, 2019; 8:32pm
URL: http://spssx-discussion.165.s1.nabble.com/Linear-Mixed-Model-in-SPSS-Guidance-tp5737698p5737715.html
No need for multilevel modeling here. Your data do not violate the
assumption of independence of observations. David Greenberg
On Tue, Apr 23, 2019 at 9:00 AM Martin Sherman <
[hidden email]> wrote:
>
> Dear List: I am working on pretest/post-test study with two between group factors, Treatment (Therapy A vs. Therapy B) and Age (younger vs. Older) on various outcome variables (all continuous). I originally considered doing a repeated measures analysis but after reading up on the pros and cons of such an analysis I decided that a linear mixed model would be more appropriate given the correlation between the pre-test scores and the post-test scores. To further my understanding I reviewed the text by Verbeke and Molenberghs (Linear Mixed Models for Longitudinal Data). Getting through the text proved to be a challenge (many many equations beyond my pay grade). So I starting looking for some dummy downed explanations on how to set up my statistical model. So far that have not generated any comparable examples of my design (2 x 2 x (2)). I am hoping there are some folks on the listserve that might be able to point me in some directions that will prove to be beneficial. I have googled but I have not found any helpful tutorials. Per chance if anyone has a good tutorial for my design I would appreciate hearing from you. Thanks, martin sherman
>
> Martin F. Sherman, Ph.D.
> Professor of Psychology
> Loyola University Maryland
> 4501 North Charles Street
> 222 B Beatty Hall
> Baltimore, MD 21210
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