The article compares different methods for calculating the correlation between measures collected over time in a study. The researchers looked at five methods, including Pearson correlation and a mixed model approach. They found that the mixed-effects model with a compound symmetric structure gives the most accurate correlation results with small errors. This method is recommended for studies with repeated measures to better understand how measures change over time.