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Repeated Measures Correlation Mixed Model

How to do it?
Analysis==>Mixed Model, then you got diaogue 1 as follows. ID shuold be put be included as subjects. Year should be included as repeated, cause I measured multiple times by different year.
Mixed Model Dialouge 1
The most hard decision to make is which Repeated Covaricance Type to select, there are a lot of choices, the most used ones are:

  1. Unstructured: you have no idea of the correlation of repeated measures, SPSS we estimate all the correlation independantly (r12,r13,r23,r14,r24,r34).
  2. Scaled Identity: no correlations at all, r=0.
  3. Compound Symmetry: all correlations equals r.
  4. AR1: (r, r^2, R^3)
    Auto Regression 1
  5. Toeplitz:(a,a,a,b,b,c)
    Toeplitz
  6. Another choice is “diagonal” which assumes no correlation between the random effects.

Then you determing the fixed effect variable:
Mixed Model Dialouge 2

And the random effect variable:
Mixed Model Dialouge 3

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