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Thank you so much for replying! I think that the suggestion of analyzing
individuals' fmri data to find if any are wildly increasing the variance is
excellent.

By "eyeballing" I meant that when I look at the results of the Control A-B
scans, and then I look at the Patient A-B scans, they look very different
(with corresponding regions of activation that agree with our hypothesis).
It looks very convincing, but I wanted to show that statistically by doing
the 2-sample t-test.

Thank you again! I really appreciate it.

Omer Liran

On Mon, Sep 8, 2014 at 1:12 PM, MCLAREN, Donald <[log in to unmask]>
wrote:

> The two sample t-test you are currently using is the correct way. If you
> change to put each session into the group model, then you would violate the
> assumption of independence and have inflated statistical results.
>
> How are you "eyeballing" the differences?
>
> I would also extract the data and see if there is one or two subjects that
> are increasing the variance and causing the non-significant effects.
>
> Best Regards, Donald McLaren
> =================
> D.G. McLaren, Ph.D.
> Research Fellow, Department of Neurology, Massachusetts General Hospital
> and
> Harvard Medical School
> Postdoctoral Research Fellow, GRECC, Bedford VA
> Website: http://www.martinos.org/~mclaren
> Office: (773) 406-2464
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> On Mon, Sep 8, 2014 at 4:00 PM, Omer Liran <[log in to unmask]> wrote:
>
>> Dear Experts,
>>
>> I want to make sure I am doing this right: I have 2 tasks (1 and 2) with
>> 2 conditions in each (A and B), and two groups (control and patient, n=30
>> each). Each task is performed three times by each subject. For a first
>> level analysis, for every task I add the 3 sessions and set up the
>> conditions and contrasts to get A-B and B-A. I then want to compare the
>> differences for control vs patient, so I perform a 2-sample t-test using
>> the contrasts I created (n=30 each group). However, even though eyeballing
>> the contrasts show clear group differences, the 2-sample t-test doesn't
>> show significant differences. Would it be statistically wrong to analyze
>> each session separately, and then drop them all into the 2-sample t-test
>> (so I would have n=90 for each group since each session was repeated 3
>> times). Or is there a better way to do this?
>>
>> Thank you so much for your time!
>> Omer Liran
>>
>
>