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The analysis of variance and pairwise scaling

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Abstract

Variance analyses are presented for two data layouts—each corresponding to the class of all ordered pairs from a single finite set. The analysis of the dominance layout is in terms of a fixed effects linear model which includes parameters representing the scale values of the elements of the set, response bias, and pairwise interactions. A parallel parametrization is carried out for the composition layout for which corresponding point estimates and hypothesis tests are given. A joint treatment of concurrently observed dominance and composition layouts is suggested and illustrative data are presented.

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References

  1. Binder, A. Statistical theory.Ann. Rev. Psychol., 1964,15, 277–310.

    Google Scholar 

  2. Coombs, C. H.A theory of data. New York: Wiley, 1964.

    Google Scholar 

  3. Cronbach, L. J. and Gleser, Goldine. Assessing similarity between profiles.Psychological Bulletin, 1953,50, 456–473.

    Google Scholar 

  4. David, H. A. The method of paired comparisons. In M. G. Kendall (Ed.)Griffin's statistical monographs and courses, No. 12. New York: Hafner, 1963.

    Google Scholar 

  5. Edwards, W. The theory of decision making.Psychol. Bull., 1954,51, 380–417.

    Google Scholar 

  6. Edwards, W. Behavioral decision theory.Ann. Rev. Psychol., 1961,12, 473–498.

    Google Scholar 

  7. Ekman, G. and Sjöberg, L. Scaling.Ann. Rev. Psychol., 1965,16, 451–475.

    Google Scholar 

  8. Goodman, N.The structure of appearance. Cambridge, Mass.: Harvard Univ. Press, 1951.

    Google Scholar 

  9. Harris, W. P. A revised law of comparative judgment.Psychometrika, 1957,22, 189–198.

    Google Scholar 

  10. Lee, M. C. Interactions, configurations, and nonadditive models.Educ. and Psychol. Measmt., 1961,21, 797–805.

    Google Scholar 

  11. Lev, J. and Kinder, E. F. New analysis of variance formulas for treating data from mutually paired subjects.Psychometrika, 1957,22, 1–15.

    Google Scholar 

  12. Quenouille, H. M.Design and analysis of experiments. New York: Hafner, 1953.

    Google Scholar 

  13. Scheffé, H. An analysis of variance for paired comparisons.J. of Amer. Statist. Assn., 1952,47, 381–400.

    Google Scholar 

  14. Scheffé, H.The analysis of variance. New York: Wiley, 1959.

    Google Scholar 

  15. Torgerson, W. S.Theory and methods of scaling. New York: Wiley, 1958.

    Google Scholar 

  16. Tucker, L. R. and Messick, S. An individual differences model for multidimensional scaling.Psychometrika, 1963,28, 333–367.

    Google Scholar 

  17. Yates, F. Analysis of data from all possible reciprocal crosses between a set of parental lines.Heredity, 1947,1, 287–301.

    Google Scholar 

Download references

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This research was supported in part by National Institutes of Health Grant MH-04439-06. The author would like to express his appreciation to Richard Beatty of the University of Toronto, James Baker and William Carroll of Oregon Research Institute, and J. E. Keith Smith of the University of Michigan, for their helpful comments concerning aspects of this work. Computing assistance was obtained from the Health Sciences Computing Facility, UCLA, sponsored by NIH Grant FR-3.

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Bechtel, G.G. The analysis of variance and pairwise scaling. Psychometrika 32, 47–65 (1967). https://doi.org/10.1007/BF02289404

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  • DOI: https://doi.org/10.1007/BF02289404

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