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Latent Class Models for Conjoint Analysis

In: Conjoint Measurement

Author

Listed:
  • Venkatram Ramaswamy

    (University of Michigan Business School)

  • Steven H. Cohen

    (Stratford Associates Marketing Research)

Abstract

Conjoint analysis was introduced to market researchers in the early 1970s as a means to understand the importance of product and service attributes and price as predictors of consumer preference (e.g., Green and Rao 1971; Green and Wind 1973). Since then it has received considerable attention in academic research (see Green and Srinivasan 1978, 1990 for exhaustive reviews; and Louviere 1994 for a review of the behavioral foundations of conjoint analysis). By systematically manipulating the product or service descriptions shown to a respondent with an experimental design, conjoint analysis allows decision-makers to understand consumer preferences in an enormous range of potential market situations (see Cattin and Wittink 1982; Wittink and Cattin 1989; and Wittink, Vriens, and Burhenne 1994 for surveys of industry usage of conjoint analysis).

Suggested Citation

  • Venkatram Ramaswamy & Steven H. Cohen, 2007. "Latent Class Models for Conjoint Analysis," Springer Books, in: Anders Gustafsson & Andreas Herrmann & Frank Huber (ed.), Conjoint Measurement, edition 0, chapter 15, pages 295-319, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-71404-0_15
    DOI: 10.1007/978-3-540-71404-0_15
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    Citations

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    Cited by:

    1. Charles Cunningham & Ken Deal & Yvonne Chen, 2010. "Adaptive Choice-Based Conjoint Analysis," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 3(4), pages 257-273, December.
    2. Charles Cunningham & Ken Deal & Heather Rimas & Heather Campbell & Ann Russell & Jennifer Henderson & Anne Matheson & Blake Melnick, 2008. "Using Conjoint Analysis to Model the Preferences of Different Patient Segments for Attributes of Patient-Centered Care," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 1(4), pages 317-330, October.
    3. Paolo Mariani & Andrea Marletta & Lucio Masserini & Mariangela Zenga, 2019. "A latent class conjoint analysis for the Administrative Clerk figure: insights from ELECTUS," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2439-2450, September.
    4. Charles Cunningham & Linda Kostrzewa & Heather Rimas & Yvonne Chen & Ken Deal & Susan Blatz & Alida Bowman & Don Buchanan & Randy Calvert & Barbara Jennings, 2013. "Modeling Organizational Justice Improvements in a Pediatric Health Service," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 6(1), pages 45-59, March.

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