Three-Way Multivariate Conjoint Analysis

Wayne S. DeSarbo, J. Douglas Carroll, Donald R. Lehmann and John O'Shaughnessy
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Wayne S. DeSarbo: Bell Laboratories, Murray Hill, New Jersey 07974
J. Douglas Carroll: Bell Laboratories, Murray Hill, New Jersey 07974
Donald R. Lehmann: Graduate School of Business, Columbia University, New York, New York 10027
John O'Shaughnessy: Graduate School of Business, Columbia University, New York, New York 10027

Marketing Science, 1982, vol. 1, issue 4, 323-350

Abstract: Three-Way Multivariate Conjoint Analysis is developed as an extension of traditional metric conjoint analysis allowing one to examine several dependent variables simultaneously, as well as individual differences in response. Four nested models are developed to examine the effects of the experimental design, the dependent variables, and individual differences. An illustration concerning the relationship of product characteristics to the importance of various decision-making criteria for industrial purchasing is provided. Finally, extensions of the model(s) to other marketing applications and nonmetric analyses are discussed.

Keywords: conjoint analysis; three-way multidimensional scaling; constrained preference analysis (search for similar items in EconPapers)
Date: 1982
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormksc:v:1:y:1982:i:4:p:323-350

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