Estimation of the Box correction for degrees of freedom from sample data in randomized block and split-plot designs
H Huynh, LS Feldt - Journal of educational statistics, 1976 - journals.sagepub.com
H Huynh, LS Feldt
Journal of educational statistics, 1976•journals.sagepub.comIt 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, ɛ. This procedure works well when ɛ 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 ɛ.
are not met, the df of the mean square ratio should be adjusted by the sample estimate of the
Box correction factor, ɛ. This procedure works well when ɛ 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 ɛ.
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, ɛ. This procedure works well when ɛ 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 ɛ.
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