Dear FSL experts,
I am trying to figure out the best way to create a model for a one-group, 7 time points repeated measures ANOVA.
The FSL GLM wiki states that: "FEAT has the ability to accommodate independent data with heterogeneous variance (the mixture of common between subject variance and subject-varying measurement error noise), but cannot account for arbitrary repeated measures correlation. Likewise, randomise cannot accommodate general repeated measures designs. That said, there are several very special cases where the GLM (and Feat, and randomise) can model repeated measures, though usually with assumptions and caveats."
The "Multi-Session & Multi-Subject (Repeated Measures - Three Level Analysis)" (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/GLM#Multi-Session_.26_Multi-Subject_.28Repeated_Measures_-_Three_Level_Analysis.29) however, seems eligible as a model. Is this the only right model for a one-group, 7 time points, within subjects repeated measures ANOVA, if I want to use FSL randomise?
Why can I not just use 'this' (see attachment) design?
Thanks,
- Vincent
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