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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2006.
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| Subjects: | |
| Online Access: | Get fulltext |
| 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. |
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