PSYC 3000 Lecture Notes - Lecture 19: Repeated Measures Design, Analysis Of Variance, Dependent And Independent Variables
9 Sep 2015
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Document Summary
One-way repeated measures anova (rm-anova) is an extension of the dependent groups t-test to three or more measurements. Independent variable is either different treatments, or different time periods. Measurements are taken multiple times for the same people. The design is conceived as a two factor design. Subjects can be treated like any main effect in a two-factor design: main effect: a main effect is the effect of an independent variable on a dependent variable. Variability associated with the subject (individual differences) can be measured and removed from the error term. Consequently, the error variance is not inflated variability due to individual differences. The error variation in a one-way repeated measures is mathematically equivalent to the interaction of the treatment factor with the subject factor: symbolized as a x s. Subject variability (individual differences) can be removed from the error term used for calculating the f statistic.
