The Robustness of O'Brien's r Transformation to Non-Normality
Description:
A Monte Carlo simulation technique was employed in this study to determine if the r transformation, a test of homogeneity of variance, affords adequate protection against Type I error over a range of equal sample sizes and number of groups when samples are obtained from normal and non-normal distributions. Additionally, this study sought to determine if the r transformation is more robust than Bartlett's chi-square to deviations from normality. Four populations were generated representing norma…
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Date:
August 1985
Creator:
Gordon, Carol J. (Carol Jean)
Partner:
UNT Libraries