I am not certain how to best perform a linear mixed model analysis.
My dataset consists of two groups of participants, n=20 for group 1
and n=10 for group 2.
I have repeated measures (n=20) of 5 variables for each participant in
each group. These are sequential measurements so values close to each
other in the sequence are highly correlated.
For the 5 variables, their sum is always 100 at each of the 20
measurement points.
I would like to know the following:
1) Are the 5 variables statistically different from each other at any
of the 20 measurement points (for the n=20 group)
2) For each of the 5 variables, do their values change significantly
over the 20 measurement points (and where)
3) Are there any overall differences between the two groups for the 5
variables (e.g. variable 4 is higher in group 1 and variable 5 is
higher in group 2)
4) If there are differences between groups, where are they within the
20 measurement points?
I currently have the data in the following column format:
Subject Group RepeatedMeasureNumber VariableNumber Score
If anyone has advice on the appropriate input commands for this
analysis, I would appreciate your help. I am only familiar with using
the dropdown menus, but I hopefully I can click the correct buttons
given the proper command lines. Thanks.
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