Hi Sam
do the following:
- split per group and zscore cov1 cov2 cov3
- add 0 to cov1A cov2A cov3A cov11B cov2B cov3B so that it has the right length
- now do you 2 groups + 6 covariates
- [1 -1] and [-1 1] for groups as usual
- [0 0 1] or any combo like [0 0 1 1 1 1 1 1] to look at covariates per group or across groups
- [0 0 1 0 0 -1 0 0] would be how covariate differ for group1 > group2 after removing the group difference
--> if you were to look only at interactions, setup a multiple regression with the 6 covariates (this model assumes no group differences on average, only modulations by covariates)
best
cyril