help > RE: 2x3 Mixed Design ANOVA
Oct 15, 2018  05:10 AM | Andrew Zalesky
RE: 2x3 Mixed Design ANOVA
Hi Ana,

this is not quite what I had in mind. I don't think that your proposed design matrix will work.

I was thinking of the following design matrix:

1 1
1 2
1 4
1 1
1 2
1 4
1 1
1 2
1 4
1 1
1 2
1 4

I have not included the within subjects effects. Need to include another 4 columns to model these effects, as you have done below.

Contrast is [0 1 0 0 0 0] to test for t1 < t2 < t3 and [0 -1 0 0 0 0] to test for t1> t2> t3.

Select "t-test"

The assumption here is that the increase in connectivity between t2 and t3 is exactly twice that of the increase between t1 and t2. Need to assess whether this assumption is realistic.

Note that there are more sophisticated tests to assess parametric increases with time, although they cannot be coded in terms of a GLM.

Andrew

Originally posted by Ana Coelho:

Just to clarify some things if I want to evaluate the linear increase: time1 < time2 < time3 and also taking into account that we have 2 groups (good performers vs. poor performers) then my design matrix for an example with 4 subjects will be something like this:

1 1 0 0 0 0 0 1 0 0 0
1 0 2 0 0 0 0 1 0 0 0
1 0 0 4 0 0 0 1 0 0 0
1 1 0 0 0 0 0 0 1 0 0
1 0 2 0 0 0 0 0 1 0 0
1 0 0 4 0 0 0 0 1 0 0
1 0 0 0 1 0 0 0 0 1 0
1 0 0 0 0 2 0 0 0 1 0
1 0 0 0 0 0 4 0 0 1 0
1 0 0 0 1 0 0 0 0 0 1
1 0 0 0 0 2 0 0 0 0 1
1 0 0 0 0 0 4 0 0 0 1

where columns 2 to 4 model time for group1 and columns 5 to 7 model time for group2. The last 4 columns model each subject.
The contrast for linear increase in the group 1 will be: [0 -1 0 1 0 ...] Is this contrast correct? Because you mentioned that contrasts will be [0 1 0 0...] for t1 > t2 > t3 and [0 -1 0 0...] for t1 < t2 < t3, but I don't get it how this reflects the linear increase.

Best regards,
Ana

TitleAuthorDate
Ana Coelho Oct 10, 2018
Andrew Zalesky Oct 10, 2018
Ana Coelho Oct 11, 2018
Andrew Zalesky Oct 11, 2018
Ana Coelho Oct 12, 2018
RE: 2x3 Mixed Design ANOVA
Andrew Zalesky Oct 15, 2018
Ana Coelho Oct 15, 2018
Andrew Zalesky Oct 15, 2018
Ana Coelho Oct 18, 2018
Andrew Zalesky Oct 18, 2018
Ana Coelho Mar 12, 2019
Andrew Zalesky Mar 13, 2019
Ana Coelho Mar 13, 2019
Ana Coelho Oct 19, 2018
Ana Coelho Oct 22, 2018
Andrew Zalesky Oct 22, 2018
Ana Coelho Oct 25, 2018
Andrew Zalesky Oct 25, 2018
Ana Coelho Oct 26, 2018
Andrew Zalesky Oct 26, 2018