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The contrasts are correct; however, I would make the following points:
(1) I'd describe contrast 3 as (BS1-BS2)-(PS1-PS2) as that makes it clear
that its an interaction.
(2) There is some debate whether using the error term, which is the
interaction error term is valid for the within-subject factors that have
their own error. For a 2x2 design, I haven't seen any strong evidence that
the interaction error term can't be applied for the within-subject
comparisons. However, this only holds for 2x2 designs. Simulations for more
complex designs (e.g. 3x2) have not been done. Thus, researchers should use
caution about using the interaction error term for the within-subject
factors of larger models.



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 Wed, Jan 15, 2014 at 7:47 AM, Yolanda Vives <[log in to unmask]> wrote:

> Dear SPM users,
>
> Sorry if my questions are obvious, but I would like to be sure that my
> analysis is correct and after looking at the different posts I am a little
> bit confused.
>
> I have 14 subjects with two sessions each one (Factor Time: basal (B) and
> post (P)), each with 2 experimental conditions (Factor Condition: S1 and
> S2). I am interested in the following analysis:
>
> 1.- BS1 - BS2
> 2.- PS1 - PS2
> 3.- BS1 - BS2 - PS1 + PS2
>
> I have used a flexible factorial design (I attach the design matrix) and I
> would like to ask if the contrasts for these three tests would be the
> following:
>
> 1.- [0 0 1 -1 1 -1 zeros(1, 16)]
> 2.- [0 0 1 -1 0 0 1 -1 zeros(1,14)]
> 3.- [0 0 0 0 1 -1 -1 1 zeros(1,14)]
>
> I would really appreciate your help.
>
> Thank you in advance,
> Yolanda
>
>