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Excellent, thanks a lot! In paired t-test I had not understood originally
that I need to enter pairs of images each time. The results look indeed
identical (see attached) when I use in second-level paired t-test to
compare  A > baseline vs. B > baseline or the contrasts A > B using
one-sample t-test. My baseline is the same in both cases (my experiment
includes A, B and baseline condition).

On Wed, Aug 17, 2016 at 11:45 PM, Angstadt, Mike <[log in to unmask]>
wrote:

> John,
>
> What was wrong with the paired T-test model?  In this case, that would be
> the appropriate model to use given your pre-existing contrasts, and it
> should tell you where A and B are different. The model itself will look odd
> if you haven’t viewed design matrices like that before, as you’ll have 2
> columns for you contrasts and a bunch of columns for your subjects.
>
> Generally, if you have access to the original data, it would probably make
> more sense to just directly contrast A and B at the first level and enter
> that contrast into a one-sample T-test. But ultimately it will be an
> equivalent model (assuming that baseline_condition in your contrasts is
> indeed an identical baseline for both the A and B contrasts) because a
> one-sample T-test on a difference of conditions is identical to a paired
> T-test on the individual conditions.
>
> -Mike
>
> --
>   Mike Angstadt
>   Research Computer Specialist / PANLab Lab Manager
>   Department of Psychiatry / University of Michigan
>   (734) 936-8229
>
>
> From: SPM (Statistical Parametric Mapping) [mailto:[log in to unmask]] On
> Behalf Of John Gelburg
> Sent: Wednesday, August 17, 2016 11:47 AM
> To: [log in to unmask]
> Subject: [SPM] simple question on random-effects second-level analysis
>
> Hi all,
>
> I have two sets of con* images from two first level contrasts: condition_A
> > baseline_condition and condition_B > baseline_condition. At the second
> level I need a contrast condition_A > condition_B.  Is it achievable given
> data that I have? If so, which model should I define? - I tried a paired
> t-test but it seems to make something different.
>
> Many thanks,
> John
>
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