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Re: st: NBREG for ordinal scales
On Oct 10, 2006, at 1:08 PM, n j cox wrote:
Actually, I seem to recall that Poisson processes are based on
probabilities of changes of state. If you are counting the
sequential changes, then you have count data and it is
straightforward to label each state with the number of persons (or
other entities) the state represents. If, on the other hand, the
changes are psychological (such as the change from being strongly
opposed to some action to being "only opposed") then the labels for
the states are not counts. As I recall, James Coleman, in
Introduction to Mathematical Sociology (1965) used Poisson models of
responses to ordinal attitudinal scales.
I think it's pretty much wired in that Poisson,
negative binomial, etc., really are for counts.
The approach never became popular in sociology, but it gives a
justification for using Poisson and related processes on non-count
data, as Matthew seems to want to do.
David C. Bell
Indiana University Purdue University Indianapolis (IUPUI)
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