Repeated Measures Design - Repeated Measures ANOVA - Cautions

Cautions

While there are many advantages to repeated-measures design, the repeated measures ANOVA is not always the best statistical analyses to conduct. The rANOVA is still highly vulnerable to effects from missing values, imputation, unequivalent time points between subjects, and violations of sphericity. These issues can result in sampling bias and inflated rates of Type I error. In such cases it may be better to consider use of a linear mixed model.

Read more about this topic:  Repeated Measures Design, Repeated Measures ANOVA

Other articles related to "caution, cautions":

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... NASCAR uses a race event called "caution", triggered at the discretion of the race administrators, in which drivers are limited to certain maneuvers ... The number of cautions per race in the Sprint Cup Series has increased from 7.4 in 2001 to 9.6 in 2007 (an increase of almost 30%), while the number of actual crashes per race has only increased ... This is likely due to increased caution periods for cleaning debris from the track ...
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