PSY202H1 Chapter 13: PSY202 - Chapter 13 (Lecture 3-4)
Document Summary
Psy202 chapter 13: repeated-measures anova (lecture 3 + 4) Repeated-measures anova used to evaluate the differences between two or more sample means obtained from a repeated-measures research study. Overview of repeated-measures designs: single factor indicates that the research study involves only one independent variable. Independent-measures indicates that the study uses a separate sample for each of the different treatment conditions being compared: repeated measures design one group of individuals participates in all of the different treatment conditions. Hypotheses for the repeated-measures anova: the same as an independent-measures anova. 0: 1 = 2 = 3 = (there are no mean differences among treatment conditions)[null hypothesis] 1: at least one treatment mean ( ) is different from another [alternative hypothesis] Individual differences in f-ratio: fundamental difference between independent-measures and repeated-measures designs is that, individual differences are part of one ratio but eliminated from the other.
