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A least squares solution for paired comparisons with incomplete data

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Abstract

A precise and rapid procedure has been devised for dealing with a matrix of incomplete data in paired comparisons. This method should increase the general applicability of paired comparisons since experiments involving large numbers of stimuli may now be shortened to feasible experimental proportions. Also, we may now use sets of stimuli which cover a wide range, resulting in a considerable number of 100 per cent vs. 0 per cent judgments, and still give a precise solution depending equally on each of the observations.

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References

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Authors and Affiliations

  1. Princeton University and Educational Testing Service, USA

    Harold Gulliksen

Authors
  1. Harold Gulliksen
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Additional information

This study was supported in part by the Office of Naval Research Contract N6onr-270-20 with Princeton University and by the National Science Foundation Grant G-642. The opinions expressed are, of course, those of the author and do not represent attitudes or policies of the Office of Naval Research or of the National Science Foundation.

The author wishes to acknowledge helpful suggestions and comments received from Frederic M. Lord, Warren S. Torgerson, and Ledyard R Tucker. Thanks are also due to Mrs. Gertrude Diederich for some of the tabulating and computing for the illustrative problem.

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Gulliksen, H. A least squares solution for paired comparisons with incomplete data. Psychometrika 21, 125–134 (1956). https://doi.org/10.1007/BF02289093

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  • DOI: https://doi.org/10.1007/BF02289093

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