On Oct 23, 2011, at 7:37 PM, apeer wrote:
Does your point about proportionality also hold for ordinality? In
other
words, if I have several X variables that do not behave in an ordinal
fashion with Y, should I still include them in the full model? My
understanding or perhaps misunderstanding of the ordinality
assumption was
that all X variables included in the model should behave in an ordinal
fashion with Y. Is that not the case?
Why should non-monotonic relationships be discarded? Are you implying
they are impossible from a scientific perspective?
--
David Winsemius, MD
West Hartford, CT
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