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Multidimensional scaling of nominal data: The recovery of metric information with alscal

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  • Forrest Young
  • Cynthia Null

Abstract

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Suggested Citation

  • Forrest Young & Cynthia Null, 1978. "Multidimensional scaling of nominal data: The recovery of metric information with alscal," Psychometrika, Springer;The Psychometric Society, vol. 43(3), pages 367-379, September.
    • Handle: RePEc:spr:psycho:v:43:y:1978:i:3:p:367-379
    DOI: 10.1007/BF02293646
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    References listed on IDEAS

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    1. Yoshio Takane & Forrest Young & Jan Leeuw, 1977. "Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 42(1), pages 7-67, March.
    2. Peter Schönemann & Robert Carroll, 1970. "Fitting one matrix to another under choice of a central dilation and a rigid motion," Psychometrika, Springer;The Psychometric Society, vol. 35(2), pages 245-255, June.
    3. Ian Spence, 1972. "A monte carlo evaluation of three nonmetric multidimensional scaling algorithms," Psychometrika, Springer;The Psychometric Society, vol. 37(4), pages 461-486, December.
    4. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    5. Forrest Young, 1970. "Nonmetric multidimensional scaling: Recovery of metric information," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 455-473, December.
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    Citations

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    Cited by:

    1. Richard Sands & Forrest Young, 1980. "Component models for three-way data: An alternating least squares algorithm with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 39-67, March.
    2. Forrest Young, 1981. "Quantitative analysis of qualitative data," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 357-388, December.

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