Dear colleagues,
I am looking for a package to analyze rank-order data in the form of
regression. My outcome (dependent) variable is a rank ordering in the
sense that the respondents to a questionnaire were asked a single question: to
assign the
values 1 to 4 to four different objects (e.g. to rank four cars as best , second
best etc). Their first preference was number 1, their second
was number 2 etc. So, for each respondent we have four observations.
My
first reaction was to analyze the data as a repeated-measures design
where I consider the four rankings as four observations for the same
person (one response per option). This would be an easy case of ordinal
regression (e.g. proportional odds model) using the excellent package
http://biostat.mc.vanderbilt.edu/Rrms of Frank Harrel (thank you Frank).
However, these are not four independent observations per person,
because if a respondent assigned the values to the first three objects,
then the rank of the fourth object is pre-determined. Does anyone know if there
is a package that can fit a more appropriate model such as the Sin‐Ho Jung
and Zhiliang Ying (2003) "Rank‐based regression with repeated
measurements data", Biometrica, 90 (3), 732-740.
Any other ideas will be
well received. Thank you
Dr. Iasonas Lamprianou
Department of Social and Political Sciences
University of Cyprus
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