It seems that your decision to use a mixed model is pushed by the pre-post correlations. What is it about those correlations that recommend a mixed model over
repeated measures?
Gene Maguin
From: SPSSX(r) Discussion <[hidden email]>
On Behalf Of Martin Sherman
Sent: Tuesday, April 23, 2019 9:00 AM
To: [hidden email]
Subject: Linear Mixed Model in SPSS Guidance
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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