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Thanks Donald. Just to clarify, I assume that when you say between-subject
effects you mean both (a) the betas for each regressor (i.e., condition
compared to the implicit baseline) (in this case use a one-sample t-test),
and (b) main effects of group (in this case use two-sample t-test or
ANOVA). Or use GLM_flex, of course. Is this correct?

Thanks again,
Bob

On Wed, Feb 29, 2012 at 1:51 PM, MCLAREN, Donald
<[log in to unmask]>wrote:

> Bob,
>
> You are absolutely correct that you don't need the main effects in the
> model; however, I have noticed small changes in the effects when comparing
> including them versus not including them. Best I can tell -- their
> inclusion/exclusion effects either the omnibus test used to decide which
> voxels to include OR the REML estimation of the variance-covariance pattern.
>
> As an additional note, the main effects of between-subject factors are
> invalid because the error term and degrees of freedom are incorrect in the
> full and flexible factorial models. To properly estimate the
> between-subject effects you need to remove the repeated observations and
> use a one-sample t-test, two-sample t-test or ANOVA. Alternatively,
> GLM_flex properly estimates all effects (between and within-subjects) in a
> single model.
>
> One other note in the tutorial, the main effect of condition is actually a
> linear trend contrast, rather than the main effect. The main effect
> F-contrast should have N-1 rows where N is the number of levels.
>
>
> Best Regards, Donald McLaren
> =================
> D.G. McLaren, Ph.D.
> Postdoctoral Research Fellow, GRECC, Bedford VA
> Research Fellow, Department of Neurology, Massachusetts General Hospital
> and
> Harvard Medical School
> Website: http://www.martinos.org/~mclaren
> Office: (773) 406-2464
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> On Wed, Feb 29, 2012 at 4:36 PM, Bob Spunt <[log in to unmask]> wrote:
>
>> Dear SPM experts,
>>
>> I have a quick question regarding deciding which effects to include in a
>> flexible factorial model. Consider the one-group case discussed in
>> the Gläscher and Gitelman tutorial, which discusses a 2x3 within-subjects
>> design (Pages 4-6). My question regards when to include the main effects in
>> the model in addition to the interaction and subject effects, since it
>> seems that all effects (namely, the two main effects and their interaction)
>> can be tested in a model which includes only the interaction and subject
>> effects. If this is indeed the case, then why would one ever include all
>> effects in the model?
>>
>> Any light-shedding is much appreciated.
>>
>> Cheers,
>> Bob
>>
>>
>> -------------------------------------------------------------------------------
>> Bob Spunt
>> Postdoctoral Fellow
>> Social Cognitive and Affective Neuroscience Labs
>> Department of Psychology
>> University of California, Los Angeles
>>
>>
>