Hello,
I would like to verify my interpretation for the paired 3dttest++ output when I include a covariate.
For subbricks that include a covariate (e.g., sub-brick 2 and 3 in the example below) do these show clusters representing differences between SetA and SetB while holding covariate IQ constant? OR would you interpret the significant clusters as differences between SetA and SetB for different levels of IQ (i.e., SetA and SetB vary as a function of IQ)?
Thank you very much,
Tam
STRUCTURE OF THE OUTPUT DATASET ~1~
-------------------------------
#0 SetA-SetB_mean = difference of means [covariates removed]
#1 SetA-SetB_Tstat
#2 SetA-SetB_IQ = difference of slopes wrt covariate IQ
#3 SetA-SetB_IQ_Tstat
#4 SetA_mean = mean of SetA [covariates removed]
#5 SetA_Tstat
#6 SetA_IQ = slope of SetA wrt covariate IQ
#7 SetA_IQ_Tstat
#8 SetB_mean = mean of SetB [covariates removed]
#9 SetB_Tstat
#10 SetB_IQ = slope of SetB wrt covariate IQ
#11 SetB_IQ_Tstat
