A Simple Test for Heterogeneity of Variance in Complex Factorial Designs
- 1 September 1974
- journal article
- Published by Cambridge University Press (CUP) in Psychometrika
- Vol. 39 (3) , 311-318
- https://doi.org/10.1007/bf02291705
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.Keywords
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