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Overcoming Scale Usage Heterogeneity: A Bayesian Hierarchical Approach


  • Rossi P. E
  • Gilula Z.
  • Allenby G. M


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Suggested Citation

  • Rossi P. E & Gilula Z. & Allenby G. M, 2001. "Overcoming Scale Usage Heterogeneity: A Bayesian Hierarchical Approach," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 20-31, March.
  • Handle: RePEc:bes:jnlasa:v:96:y:2001:m:march:p:20-31

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    Cited by:

    1. Michael Evans & Zvi Gilula & Irwin Guttman, 2012. "Conversion of ordinal attitudinal scales: An inferential Bayesian approach," Quantitative Marketing and Economics (QME), Springer, vol. 10(3), pages 283-304, September.
    2. Tuck Siong Chung & Roland T. Rust & Michel Wedel, 2009. "My Mobile Music: An Adaptive Personalization System for Digital Audio Players," Marketing Science, INFORMS, vol. 28(1), pages 52-68, 01-02.
    3. Timothy Gilbride & Sha Yang & Greg Allenby, 2005. "Modeling Simultaneity in Survey Data," Quantitative Marketing and Economics (QME), Springer, vol. 3(4), pages 311-335, December.
    4. Allenby, Greg M., 2017. "Structural forecasts for marketing data," International Journal of Forecasting, Elsevier, vol. 33(2), pages 433-441.
    5. Peter E. Rossi & Greg M. Allenby, 2003. "Bayesian Statistics and Marketing," Marketing Science, INFORMS, vol. 22(3), pages 304-328, July.
    6. Ivy Liu & Alan Agresti, 2005. "The analysis of ordered categorical data: An overview and a survey of recent developments," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 1-73, June.
    7. Romina Gambacorta & Maria Iannario, 2013. "Measuring Job Satisfaction with CUB Models," LABOUR, CEIS, vol. 27(2), pages 198-224, June.
    8. Bettina Grün & Sara Dolnicar, 2016. "Response style corrected market segmentation for ordinal data," Marketing Letters, Springer, vol. 27(4), pages 729-741, December.
    9. repec:eee:touman:v:31:y:2010:i:1:p:86-97 is not listed on IDEAS
    10. Anca Tamas & Ruxandra Popescu, 2017. "The advantages of using Best-Worst Model for hybrid products," Proceedings of Economics and Finance Conferences 4507471, International Institute of Social and Economic Sciences.
    11. Sha Yang & Yi Zhao & Ravi Dhar, 2010. "Modeling the Underreporting Bias in Panel Survey Data," Marketing Science, INFORMS, vol. 29(3), pages 525-539, 05-06.
    12. Lynd Bacon & Peter Lenk, 2012. "Augmenting discrete-choice data to identify common preference scales for inter-subject analyses," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 453-474, December.
    13. Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
    14. Timothy Johnson, 2003. "On the use of heterogeneous thresholds ordinal regression models to account for individual differences in response style," Psychometrika, Springer;The Psychometric Society, vol. 68(4), pages 563-583, December.
    15. Linda Court Salisbury & Fred M. Feinberg, 2010. "—Temporal Stochastic Inflation in Choice-Based Research," Marketing Science, INFORMS, vol. 29(1), pages 32-39, 01-02.
    16. Martijn G. de Jong & Donald R. Lehmann & Oded Netzer, 2012. "State-Dependence Effects in Surveys," Marketing Science, INFORMS, vol. 31(5), pages 838-854, September.
    17. Ando, Tomohiro, 2009. "Bayesian factor analysis with fat-tailed factors and its exact marginal likelihood," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1717-1726, September.
    18. Kim, Jung Seek & Ratchford, Brian T., 2013. "A Bayesian multivariate probit for ordinal data with semiparametric random-effects," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 192-208.
    19. Gubanova, Tatiana & Volinskiy, Dmitriy & Adamowicz, Wiktor L. & Veeman, Michele M., 2008. "Delving into Choice Internals: A Joint Discrete Choice/Attribute Rating Model," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6252, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Peter J. Danaher & Michael S. Smith, 2011. "Modeling Multivariate Distributions Using Copulas: Applications in Marketing," Marketing Science, INFORMS, vol. 30(1), pages 4-21, 01-02.
    21. Maria A. Cunha-e-Sá & Luis C. Nunes & Vladimir Otrachshenko, 2012. "Protest Attitudes and Stated Preferences: Evidence on Scale Usage Heterogeneity," FEUNL Working Paper Series wp569, Universidade Nova de Lisboa, Faculdade de Economia.

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