Dear experts,
We are addressing some reviewer concerns. My block design is ABACABAC. At the subject first-level, I modeled each of my three conditions (3 separate EVs), and specified two contrasts: B>A, and C>A with standard cluster thresholding z-score of 2.3 and significance level of p=.05. For contrast B>A (the EV for C was set at 0). Likewise, for contrast C>A (the EV for B =0).
At the higher-level, I used Flame 1+2, cluster Z>2.3, p<.05.
The reviewer noted that two separate analyses were performed for B and C and said this doubles chances of finding a result by chance. I have been asked to either correct for repeat testing or incorporate both conditions into the model.
How can I correct for repeat testing? I understand I can’t use p=0.025 for example as changing the p-value in this way would correspond to a voxel-wise uncorrected value and does not relate to the final cluster-level corrected p-value.
Thank you,
Natalie
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