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Principals versus osmod: A comment on saito and otsu

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Abstract

Saito and Otsu (1988) compared their OSMOD method of nonmetric principal-component analysis to an early and incorrect implementation of the PRINCIPALS algorithm of Young, Takane, and de Leeuw (1978). In this comment we present results from the current, correct implementations of the algorithm.

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References

  • Kuhfeld, W. F. (1985).Principal components of ordered categorical data. Unpublished doctoral dissertation. The University of North Carolina.

  • Saito, T., & Otsu, T. (1988). A method of optimal scaling for multivariate ordinal data and its extensions.Psychometrika, 53, 5–25.

    Article  Google Scholar 

  • SAS Institute (1983).Technical Report P-131. Cary, NC: Author.

    Google Scholar 

  • Tenenhaus, M., & Vachette, J. L. (1977). PRINQUAL: Un programme d'analyse en composantes principales d'un ensemble de variables nominales ou numeriques [A program for a principal component analysis of a set of nominal or numeric variables],Les Cahiers de Recherche #68, CESA, Jouy-en-Josas, France.

    Google Scholar 

  • Woodward, J. A., & Overall, J. E. (1976). Factor analysis of rank-ordered data: An old approach revisited.Psychological Bulletin, 83, 864–867.

    Article  Google Scholar 

  • Young, F. W., & Kuhfeld, W. F. (1985). PRINQUAL macro. In SAS Institute.The matrix procedure: Language and applications (Technical Report P-135). Cary, NC: Author.

    Google Scholar 

  • Young, F. W., & Kuhfeld, W. F. (1986).The PRINQUAL procedure: Experimental software for principal components of qualitative data. Preliminary documentation Cary, NC: SAS Institute.

    Google Scholar 

  • Young, F. W., Takane, Y., & de Leeuw, J. (1978). The principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features.Psychometrika, 43, 279–281.

    Google Scholar 

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Authors and Affiliations

  1. Applications Division, SAS Institute Inc., Box 8000, 27512-8000, Cary, NC

    Warren F. Kuhfeld

  2. The L. L. Thurstone Psychometric Laboratory, The University of North Carolina, USA

    Forrest W. Young

Authors
  1. Warren F. Kuhfeld
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  2. Forrest W. Young
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Kuhfeld, W.F., Young, F.W. Principals versus osmod: A comment on saito and otsu. Psychometrika 54, 755–756 (1989). https://doi.org/10.1007/BF02296408

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  • DOI: https://doi.org/10.1007/BF02296408

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