PSYC 305 Lecture Notes - Lecture 13: Sphericity, Type I And Type Ii Errors, Null Hypothesis
23 Feb 2017
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It can examine the effect of treatment (iv) (between-group effects). There is only one independent variable in one-way repeated measures. But this is sort of irrelevant in practice. It can also test the effect of subjects (between-subject effect). We are testing the effect of only one independent variable. Comparing different group means but at the same time we want to control for potentially annoying but inevitable effect of subjects. Subjects can change across the measures and effect the dependent variable. This and the independent variable can both affect the dependent variable at the same time. We test both effects at the same time. If we look at a circle that represents total variance (ms(t)), we can separate this circle into several parts: We look at the f-ratio to compare these group means. In one-way repeated measures anova, we can further split within-group variance (vw) into two more parts:
