Marketing Science 1982

Three-Way Multivariate Conjoint Analysis

Wayne S. DeSarbo¹; J. Douglas Carroll¹; Donald R. Lehmann²; John O’Shaughnessy²

¹ Bell Laboratories, Murray Hill, New Jersey 07974 · ² Columbia University

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.

DOI

10.1287/mksc.1.4.323

Sources

openalex

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APA 7 MLA 9 Chicago (author–date) Harvard Elsevier Harvard (JFE, JBF…) The Accounting Review Academy of Management American Marketing Association INFORMS (Management Science) Copy citation Copied ✓