Comparing the "Typical Score" Across Independent Groups Based on Different Criteria for Trimming

Nonnormality and variance heterogeneity affect the validity of the traditional tests for treatment group equality (e.g. ANOVA F-test and t-test), particularly when group sizes are unequal. Adopting trimmed means instead of the usual least squares estimator has been shown to be mostly affective in co...

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Bibliographic Details
Main Authors: Syed Yahaya, S.S (Author), Othman, Prof.Madya Abdul Rahman (Author), Keselman, H. J. (Author)
Format: Article
Language:English
Published: 2006.
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Summary:Nonnormality and variance heterogeneity affect the validity of the traditional tests for treatment group equality (e.g. ANOVA F-test and t-test), particularly when group sizes are unequal. Adopting trimmed means instead of the usual least squares estimator has been shown to be mostly affective in combating the deleterious effects of nonnormality.