Analysis of Repeated Measures I: Analysis of Variance Type Models; Field Dependence and a Reverse Stroop Task

Unfortunately, the advantages of a repeated measures design come at a cost, namely, the probable lack of independence of the repeated measurements. Observations involving the same subject made under different conditions are very likely to be correlated to some degree. It is the presence of this correlation that makes the analysis of repeated measure data more complex than when each subject has only a single value of the response variable recorded.