Dear all,
I would like to have an hint on a rather practical question.
I'm conducting exploratory analysis between several behavioral measures of the same construct and shape using vertex analysis.
What I would like to know is if there is a quick method to check if it could be valuable perform a (time consuming) randomise for a certain behavioral measure.
I can only think to running randomise with inference off (but then, to which distribution compare the t ?) or performing the old shape analysis using --surfaceout and performing the fdr correction.
Are there any other methods less time consuming than randomise ? And if not, which of the two methods that I outlined is the most suitable and will give me the best idea of the results of randomise ?
Thanks in advance
Best
Alain
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