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Normal-Theory Methods: Repeated Measures ANOVA

Chapter
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Part of the Springer Texts in Statistics book series (STS)

Abstract

The unstructured multivariate approach described in Chapters 3 and 4 makes no assumptions concerning the covariance structure of the vector of repeated measurements from each experimental unit. Although not making covariance structure assumptions may be advantageous, these approaches can result in low power to detect differences of interest. This is due to the fact that a large number of degrees of freedom must be used to estimate the covariance parameters.

Keywords

Measure ANOVA Random Error Term Compound Symmetry Repeated Measure ANOVA Model Random Error Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 2002

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