http://spssx-discussion.165.s1.nabble.com/question-tp5599223p5601267.html
As I read it, potentially, you have two within factors.
According to your example, for each Region (I think of,
Brain-region), you have 3 variables. The number of Regions
is not stated. You can have a simple repeated measures for
one factor, Regions, if you analyze each variable separately.
Post-hoc tests for repeated measures are best performed as
paired t-tests; and you make your own adjustments after the
test. Certain stat-packages have offered analogs to HST,
etc., for post-hocs, but they have tough assumptions. If you
know enough to justify using them, you won't be asking here.
If the 3 variables are "the same variable in three locations"
then you have a doubly-repeated measures, if you want to
analyze them together. If the 3 variables are various, then
you have MANOVA design. That one will be, most likely,
extremely difficult to make good sense of, and it is probably
something to avoid.
--
Rich Ulrich
> Date: Tue, 27 Mar 2012 11:29:15 -0400
> From:
[hidden email]> Subject: question
> To:
[hidden email]>
> Hi,
>
> my SPSS-file consists of rows and columns (obviously). every row is a
> subject and every column is a variable. my subjects can be divided in 2
> groups. i have 3 variables that belong to a "region" such that my table
> looks like:
>
> region1_var1 region1_var2 region1_var3 region2_var1 region2_var2 ...etc.
> subject1
> subject2
> subject3
> .
> .
> .
> etc.
>
> i thus have a between-subjects factor: group and (i think) 1 within-subjects
> factor: region.
>
> i would like to do a test that tests whether there is an effect of region
> for my 2 groups. this test -if significant- may allow me to
> 'post-hoc'-assess the regions separately. can this be done using the
> Repeated Measures analysis under the General Linear Model?
>
[...]