Hello,
By including these 3 nuisance variables in the model you are controlling for them; your contrast effectively tests the data for non-zero mean after accounting for any unique variance due to age, sex, hand.
Kind Regards
Matthew
--------------------------------
Dr Matthew Webster
FMRIB Centre
John Radcliffe Hospital
University of Oxford
> On 9 Dec 2017, at 16:33, Tia L. <[log in to unmask]> wrote:
>
> Dear all,
>
> I would like to control for nuisance variables (age, sex, hand) at group level. I have demeaned the values for these and entered them as covariates. Whilst I understand how to find correlations/additional effect of these, what I want is to control for them - i.e. get results independent of age, sex, hand. Would I achieve this by simply entering the 4 EVs (group mean + 3 additional measures) and a single contrast: 1 0 0 0? If not, how?
>
> Thank you very much in advance!
>
> Tia.
