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Many thanks to Ged for the very helpful explanation below, and to
Volkmar, and Steve Fromm who answered off-mailbase.

Regards - Mike

>-----Original Message-----
>From: SPM (Statistical Parametric Mapping) 
>[mailto:[log in to unmask]] On Behalf Of Ged Ridgway
>Sent: Saturday, February 10, 2007 12:21 PM
>To: [log in to unmask]
>Subject: Re: [SPM] No modeled block effect in SPM5?
>
>Hi Mike,
>
>Thanks for emailing the figures. The difference is just that SPM2 
>models a mean/constant column in addition to two columns for groups, 
>whereas SPM5 just models the group columns. As Volkmar said, the DF 
>are the same as the constant ones column is just the sum of the two 
>individual group columns (the rank of both design matrices is 3).
>
>The extra constant column in SPM2 means that the individual group 
>columns are no longer estimable on their own. A contrast of [1 0 0]' 
>over the spm5 design is equivalent to a contrast of [1 0 1 0]' over 
>the spm2 one, while [1 0 0 0] for spm2 is invalid.
>
>For the difference of the two groups (which I'm guessing is what you 
>are interested in), the spm5 contrast would be e.g. for A>B [1 0 0]-[0 
>1 0] = [1 -1 0]. While for SPM2: [1 0 1 0] - [0 1 1 0] = [1 -1 0 0]. 
>So in both versions of SPM, a zero-padded contrast [1 -1] will give 
>the same correct answer for A>B.
>
>I worked through a related example, but for the case where someone was 
>testing the covariate, which might either be helpful or confusing:
>
>http://www.cs.ucl.ac.uk/staff/gridgway/ancova/
>
>but I hope this email is helpful anyway.
>
>Ged.
>
>
>Mike Glabus wrote:
>> Firstly, I confess to a little ignorance for the rationale 
>for modeling 
>> the block effect but assume this is equivalent to the  "DC" 
>or offset in 
>> the GLM, i.e. the y intercept (?).
>> 
>> With that in mind, I have been attempting to replicate an 
>SPM2 design in 
>> SPM5 for a two-group VBM analysis.
>> 
>> In SPM2 I used the "compare populations 1-scan per subject" 
>with ANCOVA. 
>> In SPM5 I have tried using both  "independent t-test" and 
>"full factorial" 
>> models, but in both cases, there is no modeled block effect. 
>However, the 
>> df in both SPM2 and SPM5 designs is the same! (see attached)
>> 
>> Is there an explantation for i) the absence of a modeleed 
>block effect in 
>> SPM5; ii) the df being the same in SPM2 and SPM5 designs, where one 
>> (putatively) should have one df less (SPM2).
>> 
>> Regards - MFG
>> 
>