Overview Section
In this lesson, we learn how to analyze data arising from repeated measures designs. We'll learn how the ANOVA procedure, the GLM procedure, and the MIXED procedure can be used to analyze such data.
Objectives
Upon completion of this lesson, you should be able to:
- use the ANOVA procedure to analyze one-way repeated measures data when the repeated measures are stored across observations in a tall data set
- use the ANOVA procedure's REPEATED statement to analyze one-way repeated measures data when the repeated measures are stored in the same observation as a fat data set
- use the MIXED procedure to analyze a simple one-factor mixed-effects model
- use the ANOVA (or GLM) procedure to analyze data arising from two-factor experiments with a repeated measure on one factor
- use the MEANS and GPLOT procedures to create an interaction plot
- use the ANOVA (or GLM) procedure to analyze data arising from two-factor experiments with a repeated measure of both factors
Textbook Reference Section
Sections A, B, C, D, E, and F in Chapter 8 of the textbook.