Analysis of Repeated Measure Designs
Many studies undertaken in the behavioral sciences and related disciplines involve recording the value of a response variable for each subject under more than one condition, on more than one occasion, or both. The subjects may often be arranged in different groups, either those naturally occurring such as gender, or those formed by random allocation, for example, when competing therapies are assessed. Such a design is generally referred to as involving repeated measures. Three examples will help in getting a clearer picture of a repeated measures type of study.