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Subject: Multiple Partial Least Squares analyses
Date: Wed, 28 Jan 2009 12:29:17 -0800 (PST)
From: Brendan McCane <[email protected]>
To: [email protected]
G'day Morphers,
I have a question about performing PLS on multiple shape variable sets.
If I have several different sets of shape variables, say N, and I want
to find out which shapes co-vary in a significant manner, can I just
perform N(N-1)/2 separate PLS analyses using permutation tests to test
for significance? It seems like I should also do something akin to a
Bonferroni correction, but I haven't noticed anyone else do that.
For example, in the following paper:
Markus Bastir, Antonio Rosas, "Hierarchical Nature of Morphological
Integration and Modularity in the Human Posterior Face", American
Journal of Physical Anthropology, 128:26-34, 2005.
The authors test the covariation between the midline cranial base,
middle cranian fossa, and the mandibular ramus by performing 3
independent PLS analyses.
Should a Bonferroni-like correction be applied in cases like this, or is
the permutation solid even for large N? Any advice would be appreciated.
--
Cheers,
Brendan.
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Brendan McCane, Head of Dept, Email: [email protected]
Department of Computer Science Phone: +64 3 479 8588/8578.
University of Otago Fax: +64 3 479 8529
Box 56, Dunedin, New Zealand.
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