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A New Heterogeneous Multidimensional Unfolding Procedure

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  • Joonwook Park

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  • Priyali Rajagopal
  • Wayne DeSarbo

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  • Joonwook Park & Priyali Rajagopal & Wayne DeSarbo, 2012. "A New Heterogeneous Multidimensional Unfolding Procedure," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 263-287, April.
  • Handle: RePEc:spr:psycho:v:77:y:2012:i:2:p:263-287 DOI: 10.1007/s11336-012-9256-6
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    References listed on IDEAS

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    1. Wayne DeSarbo & Vithala R. Rao, 1986. "A Constrained Unfolding Methodology for Product Positioning," Marketing Science, INFORMS, vol. 5(1), pages 1-19.
    2. J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 115-129, June.
    3. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    4. DeSarbo, Wayne S. & Kim, Youngchan & Fong, Duncan, 1998. "A Bayesian multidimensional scaling procedure for the spatial analysis of revealed choice data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 79-108, November.
    5. Hutchinson, J Wesley & Alba, Joseph W, 1991. " Ignoring Irrelevant Information: Situational Determinants of Consumer Learning," Journal of Consumer Research, Oxford University Press, vol. 18(3), pages 325-345, December.
    6. Wayne DeSarbo & Vithala Rao, 1984. "GENFOLD2: A set of models and algorithms for the general UnFOLDing analysis of preference/dominance data," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 147-186, December.
    7. Sha Yang & Gerg M. Allenby & Geraldine Fennel, 2002. "Modeling Variation in Brand Preference: The Roles of Objective Environment and Motivating Conditions," Marketing Science, INFORMS, pages 14-31.
    8. Brucks, Merrie, 1985. " The Effects of Product Class Knowledge on Information Search Behavior," Journal of Consumer Research, Oxford University Press, vol. 12(1), pages 1-16, June.
    9. Sujan, Mita, 1985. " Consumer Knowledge: Effects on Evaluation Strategies Mediating Consumer Judgments," Journal of Consumer Research, Oxford University Press, vol. 12(1), pages 31-46, June.
    10. Michael Greenacre & Michael Browne, 1986. "An efficient alternating least-squares algorithm to perform multidimensional unfolding," Psychometrika, Springer;The Psychometric Society, vol. 51(2), pages 241-250, June.
    11. Frank Busing & Patrick Groenen & Willem Heiser, 2005. "Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 71-98, March.
    12. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. " Constructive Consumer Choice Processes," Journal of Consumer Research, Oxford University Press, vol. 25(3), pages 187-217, December.
    13. Eric T. Bradlow & David C. Schmittlein, 2000. "The Little Engines That Could: Modeling the Performance of World Wide Web Search Engines," Marketing Science, INFORMS, vol. 19(1), pages 43-62, June.
    14. Elrod, Terry & Keane, Michael, 1995. "A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data," MPRA Paper 52434, University Library of Munich, Germany.
    15. Fong, Duncan K. H. & DeSarbo, Wayne S. & Park, Joonwook & Scott, Crystal J., 2010. "A Bayesian Vector Multidimensional Scaling Procedure for the Analysis of Ordered Preference Data," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 482-492.
    16. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
    17. Terry Elrod, 1988. "Choice Map: Inferring a Product-Market Map from Panel Data," Marketing Science, INFORMS, vol. 7(1), pages 21-40.
    18. Tülin Erdem, 1996. "A Dynamic Analysis of Market Structure Based on Panel Data," Marketing Science, INFORMS, vol. 15(4), pages 359-378.
    19. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. " Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Oxford University Press, vol. 10(2), pages 135-146, September.
    20. Alba, Joseph W & Hutchinson, J Wesley, 1987. " Dimensions of Consumer Expertise," Journal of Consumer Research, Oxford University Press, vol. 13(4), pages 411-454, March.
    21. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
    22. Joonwook Park & Wayne DeSarbo & John Liechty, 2008. "A Hierarchical Bayesian Multidimensional Scaling Methodology for Accommodating Both Structural and Preference Heterogeneity," Psychometrika, Springer;The Psychometric Society, vol. 73(3), pages 451-472, September.
    23. DeSarbo, Wayne S. & Kim, Youngchan & Wedel, Michel & Fong, Duncan K. H., 1998. "A Bayesian approach to the spatial representation of market structure from consumer choice data," European Journal of Operational Research, Elsevier, vol. 111(2), pages 285-305, December.
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