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A Nonparametric Test for the Correspondence Between Two Proximity Matrices

Author

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  • James V. Schultz
  • Lawrence Hubert

Abstract

A nonparametric test, developed in the biometrics literature for the study of contagious diseases, may be used more generally to compare the patterning of entries in two proximity matrices. The procedure is a simple extension of the randomization strategies appropriate for the standard bivariate correlation context, and provides a relatively easy alternative to some of the more informal analyses commonly used in education.

Suggested Citation

  • James V. Schultz & Lawrence Hubert, 1976. "A Nonparametric Test for the Correspondence Between Two Proximity Matrices," Journal of Educational and Behavioral Statistics, , vol. 1(1), pages 59-67, March.
    • Handle: RePEc:sae:jedbes:v:1:y:1976:i:1:p:59-67
    DOI: 10.3102/10769986001001059
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    Cited by:

    1. Lawrence Hubert & Frank Baker, 1978. "Evaluating the conformity of sociometric measurements," Psychometrika, Springer;The Psychometric Society, vol. 43(1), pages 31-41, March.

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