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Recovering the Metric Structure in Ordinal Data: Linear Versus Nonlinear Principal Components Analysis

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  • Math Candel

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Suggested Citation

  • Math Candel, 2001. "Recovering the Metric Structure in Ordinal Data: Linear Versus Nonlinear Principal Components Analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(1), pages 91-105, February.
  • Handle: RePEc:spr:qualqt:v:35:y:2001:i:1:p:91-105
    DOI: 10.1023/A:1004873031561
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    References listed on IDEAS

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    1. Rebecca Zwick, 1987. "Some properties of the correlation matrix of dichotomous guttman items," Psychometrika, Springer;The Psychometric Society, vol. 52(4), pages 515-520, December.
    2. Takayuki Saito & Tatsuo Otsu, 1988. "A method of optimal scaling for multivariate ordinal data and its extensions," Psychometrika, Springer;The Psychometric Society, vol. 53(1), pages 5-25, March.
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