New model revolutionizes analysis of split-plot data with repeated measures.
The article presents a way to analyze data with a repeated measures factor using a mixed-effects model. They suggest using a compound symmetric covariance structure to understand how different factors affect the response variable. The researchers used the restricted maximum likelihood method to estimate the fixed effects in the model.