Hi MVPA experts, I have a general question about conducting group-level analysis on the subjects' classification accuracy maps. Let's say I am doing a one-sample t-test to find the voxels that have high classification accuracy across subjects. Essentially, I am doing a t-test on percentage numbers (SVM classification accuracy measured as percentage correct). Since percentage is highly affected by the testing example numbers, and in general would probably not meet the normal distribution assumption for t-test.
So my question is if people adjust for testing trial numbers or any sort of transformation? For example, I converted each voxel's percentage number to a z score at the individual subject's classification map level, and then do group-level t-test on these z score maps. I wonder if this is valid? Thank you very much! Best, Frances -- Jingwen Frances Jin Department of Psychology, PhD candidate in Clinical area Stony Brook University
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