IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v61y1996i3p485-508.html
   My bibliography  Save this article

A stochastic multidimensional unfolding approach for representing phased decision outcomes

Author

Listed:
  • Wayne DeSarbo
  • Donald Lehmann
  • Gregory Carpenter
  • Indrajit Sinha

Abstract

No abstract is available for this item.

Suggested Citation

  • Wayne DeSarbo & Donald Lehmann & Gregory Carpenter & Indrajit Sinha, 1996. "A stochastic multidimensional unfolding approach for representing phased decision outcomes," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 485-508, September.
  • Handle: RePEc:spr:psycho:v:61:y:1996:i:3:p:485-508
    DOI: 10.1007/BF02294551
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294551
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02294551?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John R. Hauser & Steven P. Gaskin, 1984. "Application of the “Defender” Consumer Model," Marketing Science, INFORMS, vol. 3(4), pages 327-351.
    2. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    3. Ulf Böckenholt & Ingo Böckenholt, 1991. "Constrained latent class analysis: Simultaneous classification and scaling of discrete choice data," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 699-716, December.
    4. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    5. Biehal, Gabriel & Chakravarti, Dipankar, 1986. "Consumers' Use of Memory and External Information in Choice: Macro and Micro Perspectives," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(4), pages 382-405, March.
    6. Kamel Jedidi & Wayne DeSarbo, 1991. "A stochastic multidimensional scaling procedure for the spatial representation of three-mode, three-way pick any/J data," Psychometrika, Springer;The Psychometric Society, vol. 56(3), pages 471-494, September.
    7. 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.
    8. Wayne DeSarbo & J. Douglas Carroll, 1985. "Three-way metric unfolding via alternating weighted least squares," Psychometrika, Springer;The Psychometric Society, vol. 50(3), pages 275-300, September.
    9. Bettman, James R & Park, C Whan, 1980. "Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 234-248, December.
    10. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    11. Yoshio Takane, 1981. "Multidimensional successive categories scaling: A maximum likelihood method," Psychometrika, Springer;The Psychometric Society, vol. 46(1), pages 9-28, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lapatinas, Athanasios & Garas, Antonios, 2016. "The role of networks in firms’ multi-characteristics competition and market-share inequality," MPRA Paper 68959, University Library of Munich, Germany.
    2. Tammo H.A. Bijmolt & Michel Wedel & Wayne S. DeSarbo, 2021. "Adaptive Multidimensional Scaling: Brand Positioning Based on Decision Sets and Dissimilarity Judgments," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(1), pages 1-15, June.
    3. Michael Yee & Ely Dahan & John R. Hauser & James Orlin, 2007. "Greedoid-Based Noncompensatory Inference," Marketing Science, INFORMS, vol. 26(4), pages 532-549, 07-08.
    4. Garas, Antonios & Lapatinas, Athanasios, 2017. "The role of consumer networks in firmsÂ’ multi-characteristics competition and market share inequality," Structural Change and Economic Dynamics, Elsevier, vol. 43(C), pages 76-86, December.
    5. Bijmolt, T.H.A. & Wedel, M. & DeSarbo, W.S., 2002. "Adaptive Multidimensional Scaling : The Spatial Representation of Brand Consideration and Dissimilarity Judgments," Other publications TiSEM 26b65f04-0d5f-42d6-8a85-8, Tilburg University, School of Economics and Management.
    6. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
    7. Bijmolt, T.H.A. & Wedel, M. & DeSarbo, W.S., 2002. "Adaptive Multidimensional Scaling : The Spatial Representation of Brand Consideration and Dissimilarity Judgments," Discussion Paper 2002-82, Tilburg University, Center for Economic Research.
    8. Elisabeth Honka & Pradeep Chintagunta, 2017. "Simultaneous or Sequential? Search Strategies in the U.S. Auto Insurance Industry," Marketing Science, INFORMS, vol. 36(1), pages 21-42, January.
    9. Jianan Wu & Arvind Rangaswamy, 2003. "A Fuzzy Set Model of Search and Consideration with an Application to an Online Market," Marketing Science, INFORMS, vol. 22(3), pages 411-434, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.
    2. DeSarbo, Wayne S. & Selin Atalay, A. & Blanchard, Simon J., 2009. "A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3217-3230, June.
    3. Tammo H.A. Bijmolt & Michel Wedel & Wayne S. DeSarbo, 2021. "Adaptive Multidimensional Scaling: Brand Positioning Based on Decision Sets and Dissimilarity Judgments," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(1), pages 1-15, June.
    4. Wayne DeSarbo & Kamel Jedidi & Joel Steckel, 1991. "A stochastic multidimensional scaling procedure for the empirical determination of convex indifference curves for preference/choice analysis," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 279-307, June.
    5. Kamel Jedidi & Wayne DeSarbo, 1991. "A stochastic multidimensional scaling procedure for the spatial representation of three-mode, three-way pick any/J data," Psychometrika, Springer;The Psychometric Society, vol. 56(3), pages 471-494, September.
    6. Wayne DeSarbo & Robert Madrigal, 2012. "Exploring the Demand Aspects of Sports Consumption and Fan Avidity," Interfaces, INFORMS, vol. 42(2), pages 199-212, April.
    7. 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.
    8. Wayne DeSarbo & Michael Johnson & Ajay Manrai & Lalita Manrai & Elizabeth Edwards, 1992. "Tscale: A new multidimensional scaling procedure based on tversky's contrast model," Psychometrika, Springer;The Psychometric Society, vol. 57(1), pages 43-69, March.
    9. repec:cup:judgdm:v:11:y:2016:i:1:p:40-47 is not listed on IDEAS
    10. Nenycz-Thiel, Magda & Romaniuk, Jenni, 2016. "Understanding premium private labels: A consumer categorisation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 22-30.
    11. Amin Ansary & Nik M. Hazrul Nik Hashim, 2018. "Brand image and equity: the mediating role of brand equity drivers and moderating effects of product type and word of mouth," Review of Managerial Science, Springer, vol. 12(4), pages 969-1002, October.
    12. Bosul Yoo & Sotaro Katsumata & Takeyasu Ichikohji, 2017. "The Impact of Customer Orientation on Quantity and Quality of User-Generated Content: A Multi-Country Case Study of Mobile Applications," Discussion Papers in Economics and Business 17-12, Osaka University, Graduate School of Economics.
    13. Babutsidze, Zakaria, 2007. "How Do Consumers Make Choices? A Summary of Evidence from Marketing and Psychology," MERIT Working Papers 2007-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    14. Naderi, Iman & Paswan, Audhesh K. & Guzman, Francisco, 2018. "Beyond the shadow of a doubt: The effect of consumer knowledge on restaurant evaluation," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 221-229.
    15. de Bont, Cees J. P. M. & Schoormans, Jan P. L., 1995. "The effects of product expertise on consumer evaluations of new-product concepts," Journal of Economic Psychology, Elsevier, vol. 16(4), pages 599-615, December.
    16. Vera Herédia-Colaço & Rita Coelho do Vale & Sofia B. Villas-Boas, 2019. "Does Fair Trade Breed Contempt? A Cross-Country Examination on the Moderating Role of Brand Familiarity and Consumer Expertise on Product Evaluation," Journal of Business Ethics, Springer, vol. 156(3), pages 737-758, May.
    17. Bian, Xuemei & Moutinho, Luiz, 2009. "An investigation of determinants of counterfeit purchase consideration," Journal of Business Research, Elsevier, vol. 62(3), pages 368-378, March.
    18. Wayne DeSarbo & Daniel Howard & Kamel Jedidi, 1991. "Multiclus: A new method for simultaneously performing multidimensional scaling and cluster analysis," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 121-136, March.
    19. Gaia Rubera & Andrea Ordanini & David Mazursky, 2010. "Toward a contingency view of new product creativity: Assessing the interactive effects of consumers," Marketing Letters, Springer, vol. 21(2), pages 191-206, June.
    20. Roest, Henk & Rindfleisch, Aric, 2010. "The influence of quality cues and typicality cues on restaurant purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 17(1), pages 10-18.
    21. Neeraj Arora & Ty Henderson & Qing Liu, 2011. "Noncompensatory Dyadic Choices," Marketing Science, INFORMS, vol. 30(6), pages 1028-1047, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:61:y:1996:i:3:p:485-508. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.