Dear SPMers
I have used spm for a short time and I have some questions:
1) in some analyses (for example, 3 conditions, 10 subjects, 1
covariant) the values of df for the factor of interest is one less than
predicted (1 instead 2).
2) It seems to me that spm consider the factor subject as a fixed
factor. Is-it right and do you not think that it will be better to
consider it as a random factor (and used the interaction term subject x
conditions as residual variance)?
Thank you for your help.
Sincerely. P. Fonlupt
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