PSYC 3000 Lecture Notes - Lecture 84: Junkers F.13, Factorial Experiment, Dependent And Independent Variables

• School: Carleton University
• Department: Psychology
• Course: PSYC 3000
• Professor: Bruce Hutcheon

Document Summary

1) in a 2-way within-subjects anova, there are n participants. T 2) in a 2-way mixed-factors anova where a is the within-subjects factor, there are a n participants. F: for a 2-way within-subjects anova, the main effects of the treatments and the interaction are all tested using different mserror terms. T 4) for a 2-way within- subjects anova, if you know the values of a, b, and n, then it is possible to calculate the between-subjects dferror. T: for a given dataset of observations from a 2-way design, the value of dfa b calculated in a between-subjects analysis is the same its value in a within-subjects analysis. T: a within-subjects analysis of a dataset is always more powerful than a between-subjects analysis of the same dataset. F 7) for a within-subjects anova, if you do not pass levene"s test then you cannot meet the assumption of sphericity. T: dependent-groups analysis is another name for within-subjects analysis.