Hello Gang,

I have a follow up question regarding the F-stats when using TENT. I can not find the answer in the afni slides. Maybe a stupid question.

I have a condition Lure_Object_FA, which I model in 3dDeconvolve by using 5 TENT regressors. I also performed a linear test
-gltsym 'SYM: +Lure_Obj_FA[1..3]' -glt_label 1 'Lure_Obj_FA'

What is the difference between the partial F-stats from the TENTS and the F-stats from this GLT?
When I understand correctly, the partial F-stats for the TENTS (#0 - #4 for Lure_Object_FA) is comparing the error sum of squares from the full model with the error sum of squares from the reduced model (where all 5 TENT parameters that are related to the condition Lure_Object_FA are removed).

I guess I still don t understand what exactly is analyzed/compared when performing a linear contrast like in the above GLT.
I would really like to understand this.

Thank you very much in advance!
Carolin