Hypothesis test
Repeated-measures ANOVA
Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).
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Sources
- Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
- Girden, E. R. (1992). ANOVA: Repeated Measures. SAGE. ISBN: 978-0803942578
Related methods
Referenced by
Aligned Rank Transform ANOVACochran Q TestCrossover Control Group Experimental DesignCrossover DesignCrossover Factorial ExperimentCrossover Full Factorial ExperimentCrossover Laboratory ExperimentCrossover Pretest-Posttest Experimental DesignDose-Response DesignFactorial Pretest-Posttest Experimental DesignFriedman testHierarchical Linear ModelingLGC ModelLongitudinal Hypothesis Testing ResearchMANOVAMixed ANOVANemenyi TestPaired samples t-testPaired t-testPanel-based correlational researchPanel-based trend researchRandomized Complete Block DesignRobust Friedman testRobust repeated measures ANOVASplit-Plot DesignTwo-Way ANOVA