Performing Two-Way Analysis of Variance Under Variance Heterogeneity

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Scott J. Richter, Professor (Creator)
The University of North Carolina at Greensboro (UNCG )
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Abstract: Small sample properties of the method proposed by Brunner et al. (1997) for performing two-way analysis of variance are compared to those of the normal based ANOVA method for factorial arrangements. Different effect sizes, sample sizes, and error structures are utilized in a simulation study to compare type I error rates and power of the two methods. An SAS program is also presented to assist those wishing to implement the Brunner method to real data.

Additional Information

Journal of Modern Applied Statistical Methods
Language: English
Date: 2003
Factorial arrangement of treatments, heterogeneity of variance

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