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Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model


Author Info

  • K. Deun


  • P. Groenen
  • W. Heiser
  • F. Busing
  • L. Delbeke


No abstract is available for this item.

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Bibliographic Info

Article provided by Springer in its journal Psychometrika.

Volume (Year): 70 (2005)
Issue (Month): 1 (March)
Pages: 45-69

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Handle: RePEc:spr:psycho:v:70:y:2005:i:1:p:45-69

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Related research

Keywords: unfolding; degeneracy; mixed plots; squared correlation; iterative majorization;


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  1. J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer, vol. 29(2), pages 115-129, June.
  2. P. J. F. Groenen & W. J. Heiser & J. J. Meulman, 1999. "Global Optimization in Least-Squares Multidimensional Scaling by Distance Smoothing," Journal of Classification, Springer, vol. 16(2), pages 225-254, July.
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Cited by:
  1. Joonwook Park & Wayne DeSarbo & John Liechty, 2008. "A Hierarchical Bayesian Multidimensional Scaling Methodology for Accommodating Both Structural and Preference Heterogeneity," Psychometrika, Springer, vol. 73(3), pages 451-472, September.
  2. Willem Heiser, 2004. "Geometric representation of association between categories," Psychometrika, Springer, vol. 69(4), pages 513-545, December.
  3. 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.
  4. Vera, J. Fernando & Macas, Rodrigo & Heiser, Willem J., 2009. "A dual latent class unfolding model for two-way two-mode preference rating data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3231-3244, June.


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