Abstract
A simple procedure for testing heterogeneity of variance is developed which generalizes readily to complex, multi-factor experimental designs. Monte Carlo Studies indicate that the Z-variance test statistic presented here yields results equivalent to other familiar tests for heterogeneity of variance in simple one-way designs where comparisons are feasible. The primary advantage of the Z-variance test is in the analysis of factorial effects on sample variances in more complex designs. An example involving a three-way factorial design is presented.
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This work was supported in part by grant DHEW 2 RO 1 MH 14675-06 from the Psychopharmacology Research Branch, NIMH.
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Overall, J.E., Arthur Woodward, J. A simple test for heterogeneity of variance in complex factorial designs. Psychometrika 39, 311–318 (1974). https://doi.org/10.1007/BF02291705
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DOI: https://doi.org/10.1007/BF02291705