Thanks Donald. How can I control the FWE at the cluster level in the GUI? - where can I find this option?On Tue, Aug 11, 2015 at 12:14 PM, MCLAREN, Donald <[log in to unmask]> wrote:If you go with an uncorrected voxel criteria, which I suggest, then you should correct for multiple comparisons by controlling the FWE at the cluster level for publication. If its an intermediate analysis, controlling the cluster-wise alpha is less of an issue.Best Regards,Donald McLaren, PhDOn Tue, Aug 11, 2015 at 12:06 PM, Joelle Zimmermann <[log in to unmask]> wrote:JoelleThanks,Later I plan to split my 28 subjects into 2 groups so will have even fewer subjects.Hi Donald,Good to hear from you again. Right, that's what I suspected about the first-level. I have 28 subjects in my dataset, and not seeing all that much at FWE. As long as there isn't a strict standard SPM people go with, I think .001 is better for me.On Tue, Aug 11, 2015 at 12:02 PM, MCLAREN, Donald <[log in to unmask]> wrote:Statistical Thresholding at the first level has no impact on the second-level data.For the second-level, it depends on how large the effect size you expect to see and how many subjects you have in your dataset.Best Regards,Donald McLaren, PhDOn Tue, Aug 11, 2015 at 10:58 AM, Joelle Zimmermann <[log in to unmask]> wrote:I'm wondering if there is a standard way to set the p-value adjustment to control in the results tab for the first-level and the second-level analysis. For instance, would you recommend FWE for the first-level single subject analyses, and .001 for the second-level analysis?Hi Experts,I'm running a first-level analysis per subject, and then forwarding the .con images into a second-level analysis.Thanks,Joelle