Latent class metric conjoint analysis

Wayne S. Desarbo, Michel Wedel, Marco Vriens, Venkatram Ramaswamy

Research output: Contribution to journalArticlepeer-review

107 Scopus citations

Abstract

A latent class methodology for conjoint analysis is proposed, which simultaneously estimates market segment membership and part-worth utilities for each derived market segment using mixtures of multivariate conditional normal distributions. An E-M algorithm to estimate the parameters of these mixtures is briefly discussed. Finally, an application of the methodology to a commercial study (pretest) examining the design of a remote automobile entry device is presented.

Original languageEnglish (US)
Pages (from-to)273-288
Number of pages16
JournalMarketing Letters
Volume3
Issue number3
DOIs
StatePublished - Jul 1992

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Economics and Econometrics
  • Marketing

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