Posted by
Bruce Weaver on
Apr 23, 2019; 9:22pm
URL: http://spssx-discussion.165.s1.nabble.com/Linear-Mixed-Model-in-SPSS-Guidance-tp5737698p5737719.html
I agree with David. Multilevel modeling would seem like overkill with only 2
repeated measures. Here's a short BMJ Statistics Note you may find helpful,
Martin.
https://www.bmj.com/content/323/7321/1123.fullCheers,
Bruce
David Greenberg wrote
> 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 <
> MSherman@
> > 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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