Dear Alex,
I imagine most people would consider MAN(C)OVA and/or permutation
tests for difference in multivariate means as the typical approach.
Obviously, the choice of methods might also depend on the design and
research question. There is a chance that with 10 observations per sex
you might have limited statistical power when comparing within each
species.
Best,
Carmelo
"Bjarnason, Alexander" ha scritto:
Dear morphometricians,
I have an interesting GMM dataset based on the cranial morphology of
adult New World monkeys (platyrrhines) with a wide sampling of
genera and species. I have approximately ten male and ten females
for each species, and am interested in testing for size and shape
dimorphism in each group. My current thinking is to use a Procrustes
ANOVA to test for significant differences between males and females
for each taxa, and wanted to enquire whether this was the standard
approach with geometric morphometric data, or if an alternative
approach would be more appropriate?
Any advice greatly appreciated,
Best wishes
Alex Bjarnason
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