Dear FSL team,
I ran a TBSS to compare scan A and B of two groups (Treatment vs Control). I used the model under "ANOVA: 2-groups, 2-levels per subject (2-way Mixed Effect ANOVA)" from this link:
Then I randomised it using the following command:randomise -i all_FA_skeletonised -o ANOVA -d design.mat -t design.con -edesign.grp -m mean_FA_skeleton_mask -n 5000 --T2
Results show a significant interaction of group*scan while the main effect of scan is not significant.
To dig more into the interaction, I ran four separate TBSS to find the simple main effects. I compared scan A and B in each group separately and then I compared the two groups regarding each scan. But none of the simple main effects came significant.
How is it possible?How can I realize where the significant interaction of group*scan came from?
Thanks,Sara
Dear FSL team,
I ran a TBSS to compare scan A and B of two groups (Treatment vs Control). I used the model under "ANOVA: 2-groups, 2-levels per subject (2-way Mixed Effect ANOVA)" from this link:
Then I randomised it using the following command:randomise -i all_FA_skeletonised -o ANOVA -d design.mat -t design.con -edesign.grp -m mean_FA_skeleton_mask -n 5000 --T2
Results show a significant interaction of group*scan while the main effect of scan is not significant.
To dig more into the interaction, I ran four separate TBSS to find the simple main effects. I compared scan A and B in each group separately and then I compared the two groups regarding each scan. But none of the simple main effects came significant.How is it possible?How can I realize where the significant interaction of group*scan came from?
Thanks,Sara