PSY 302 Chapter Notes - Chapter 11: Analysis Of Variance, Statistical Hypothesis Testing, Test Statistic
2 Jul 2019
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Repeated-measures anova: statistical test to compare 2+ dependent samples on interval or ratio level dependent variable. Same cases measured at multiple points of time. Different cases, matched so that they are similar in some dimension(s) Levels of the independent variable make up the columns and the subjects make up the rows. Repeated-measures anova obtains a purer measure of effect of treatment and more statistically powerful test than is between-subjects anova. For repeated-measures anova, total variability is also partitioned into between and within. Within-group variability is then broken down further. First, variability due to subjects is removed. Then, the variability left over, labeled residual, . Between-subjects anova divides between-group variability by is used as the denominator in the f ratio within-group variability to find the f ratio. Repeated-measures anova calculates between-group variability same way, so it will have same numerator for. F ratio, then, variability left over, labeled residual, is used as denominator in f ratio.
