This article describes an approach in which conjoint
methodology and multidimensional scaling can be fruitfully
applied, in tandem, to the measurement and representation
of preference data for factorially designed profiles. The ap
proach is described and applied to an illustrative data set.
We conclude the article with a brief discussion of possible
extensions of the approach and additional research needs.
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