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A jackknife test of homogeneity of variance with paired replicates data

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Abstract

A nonparametric test of dispersion with paired replicates data is described which involves jackknifing logarithmic transformations of the ratio of variance estimates for the pre- and post-treatment populations. Results from a Monte Carlo simulation show that the test performs well underH o and has good power properties. Examples are given of applying the procedure on psychiatric data.

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Reference note

  • Bell, W. D., Rothstein, S. M., & Li, W.-K. An empirical study of some nonparametric tests for dispersion of correlated data. Manuscript submitted for publication, 1980.

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Authors and Affiliations

  1. Department of Chemistry, Brock University, L2S 3A1, St. Catharines, Ontario, Canada

    Stuart M. Rothstein & William D. Bell

  2. Hamilton Psychiatric Hospital, Canada

    Jayne A. Patrick & Harry Miller

Authors
  1. Stuart M. Rothstein
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  2. William D. Bell
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  3. Jayne A. Patrick
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  4. Harry Miller
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Additional information

A referee called our attention to valuable references which related to our work, and he suggested the inclusion of competing jackknife procedures into our studies.

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Rothstein, S.M., Bell, W.D., Patrick, J.A. et al. A jackknife test of homogeneity of variance with paired replicates data. Psychometrika 46, 35–40 (1981). https://doi.org/10.1007/BF02293916

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  • DOI: https://doi.org/10.1007/BF02293916

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