Abstract
Based on a simple nonparametric procedure for comparing two proximity matrices, a measure of concordance is introduced that is appropriate whenK independent proximity matrices are available. In addition to the development of a general concept of concordance and specific techniques for its evaluation within and between the subsets of a partition of theK matrices, several methods are also suggested for comparing and/or for fitting a particular structure to the given data. Finally, brief indications are provided as to how the well-known notion of concordance forK rank orders can be included within the more general framework.
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Partial support for this research was supplied by the National Science Foundation through SOC-77-28227.
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Hubert, L.J. Generalized concordance. Psychometrika 44, 135–142 (1979). https://doi.org/10.1007/BF02293965
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DOI: https://doi.org/10.1007/BF02293965