Estimation of the Box Correction for Degrees of Freedom from Sample Data in Randomized Block and Split-Plot Designs
Huynh Huynh and
Leonard S. Feldt
Journal of Educational and Behavioral Statistics, 1976, vol. 1, issue 1, 69-82
Abstract:
It has been suggested that when the variance assumptions of a repeated measures ANOVA are not met, the df of the mean square ratio should be adjusted by the sample estimate of the Box correction factor, É›. This procedure works well when É› is low, but the estimate is seriously biased when this is not the case. An alternate estimate is proposed which is shown by Monte Carlo methods to be less biased for moderately large É›.
Keywords: Box Correction; ANOVA Assumptions; Block design (search for similar items in EconPapers)
Date: 1976
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:1:y:1976:i:1:p:69-82
DOI: 10.3102/10769986001001069
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