Tests for homogeneity of variance |
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Authors: | H. J. Keselman Paul A. Gaines Jennifer J. Clinch |
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Affiliation: | 1. University of Manitoba Winnipeg, Manitoba, R3T 2N2, Canada;2. Pennsylvania State University, University Park, 16802, Pennsylvania |
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Abstract: | Six procedures which convert tests of homogeneity of variance into tests for mean equality for independent groups are compared. The tests are the analysis of variance (ANOVA) and Welch F statistics. The Welch statistics are included since it was anticipated that ANOVA would not provide a robust test when samples of unequal sizes are obtained from non-normal populations. However, the Welch tests are not found to be uniformly preferrable. In addition, a prior recommendation for Miller's jackknife procedure is not supported for the unequal sample size case. The data indicates that the current tests for variance heterogeneity are either sensitive to non-normality or, if robust, lacking in power. Therefore, these tests cannot be recommended for the purpose of testing the validity of the ANOVA homogeneity assumption. |
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Keywords: | converting tests of spread into tests for mean equality analysis of variance and Welch statistics assumption violations and rates of Type I error and power |
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