Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model
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Bibliographic InfoArticle provided by Springer in its journal Psychometrika.
Volume (Year): 70 (2005)
Issue (Month): 1 (March)
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Web page: http://www.springerlink.com/link.asp?id=112911
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- J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer, vol. 29(2), pages 115-129, June.
- 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.
- 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.
- 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.
- Willem Heiser, 2004. "Geometric representation of association between categories," Psychometrika, Springer, vol. 69(4), pages 513-545, December.
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