Hi all,
I am confused about which test or model I should select.
I have scanned 8 subjects. Each subject was scanned in two sessions, left and right hand. Each session consists of three conditions: A, B & C. So basically I have from each subject six conditions using both hands.
In the first level, i defined each condition in a separate regressor. Then I contrast each condition versus rest. So I have in each session : A>rest, B>rest, C>rest.
So I end up by three contrast images per session or six per the two sessions.
I am interested in comparing right versus left. So I would like to compare first A from session 1 versus A from session 2 and so on.
I thought first to use two sample t-tests by taking the con from each subject in session 1 and condition A and compare that to session 2. And then do the same for Conditions B & C.
Is this the right way to do it?
Or are there better options such as ANOVA? Can anyone please explain what should I select an how I should do this ?
Another consideration that it might be of interest is that I may need then to compare A1 versus B2 or C2 or B2+C2.
I believe if I do want to answer this question I cannot do two sample t test. So what would be the better approach?
Thanks in advance!
Aser
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