Analysis 1: Standard between/within repeated analysis In other words, it is predicted that there will beĪn interaction between cond and time. Tend to oscillate over the 5 time periods more than Particular, it is predicted that the responses of the treatment B group will
Should differ from both the control group and the treatment A group. However, it is also predicted that the responses of those who receive treatment B The study predicts that the responses of theĬontrol group will not differ from those who received treatment A. So thisĮxperiment has one between subjects variable ( cond) and one repeated Time points (e.g., ib1, ms1 and sr1 were all measured at time 1Īnd ib5, ms5 and sr5 were all measured at time 5). Measures ( ib, ms and sr) and they were each measured at Who were randomly assigned to one of three groups (conditions, or cond),Ĭontrol ( cond=1), treatment A ( cond=2) and treatment B ( cond=3). This example is based on an experiment on 42 subjects We will be using SAS proc glm and proc mixed. Holly Hazlett-Stevensįor giving us permission to use and adapt her data.) This page is not aĬomprehensive examination of how to perform a trend analysis in a repeated measures design,īut is a summary of the advice we would give for this particular analysis. We will use data based on a realĬonsulting problem we received. This page is intended to be an example of common trend analysis
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