If your covariate is in the model, it is considered in the analysis.

If you want to test the effect of the covariate, you want to put a 1 or -1 over the column.

If you want to test another effect in the model (e.g. group), then a 0 should be over the covariate column.

As usual, if you write down the null hypothesis, you will be able to determine the weights for each column.

Best Regards, Donald McLaren
=================
D.G. McLaren, Ph.D.
Research Fellow, Department of Neurology, Massachusetts General Hospital and
Harvard Medical School
Postdoctoral Research Fellow, GRECC, Bedford VA
Website: http://www.martinos.org/~mclaren
Office: (773) 406-2464
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On Thu, Sep 25, 2014 at 10:44 PM, Jake Thompson <[log in to unmask]> wrote:

Hello,

I was thinking of including gender as a covariate in analysis and I see that it says to enter the values "per subject" in an X-by-1 array.

Please let me know if this is correct:
I would set male =1 and female= 2

1 (indicates subject one is male)
2 (indicates subject two is female)
2
2
1
1
2
2
1
2

Also to be clear this is added as an addition colum in the contrast manager so if I want to consider this co variate in analysis I put 1 in the contrast matrix for this column, correct?

Thanks,

Jake