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One-way repeated ANOVA involves measuring an individual two or more times on the dependent variable. True/False

One-way repeated ANOVA involves measuring an individual two or more times on the dependent variable.

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It is true that One-way repeated ANOVA involves measuring an individual two or more times on the dependent variable.

Repeated measures analysis of variance (rANOVA) is one of the most commonly used statistical approaches to repeated measures designs.

Repeated measures design (also known as “within-subjects design”) uses the same subjects with every condition of the research, including the control. For instance, repeated measures are collected in a longitudinal study in which change over time is assessed. Other studies compare the same measure under two or more different conditions. For instance, to test the effects of caffeine on cognitive function, a subject’s math ability might be tested once after they consume caffeine and another time when they consume a placebo.

Assumptions:

  1. Normality: For each level of the within-subjects factor, the dependent variable must have a normal distribution.
  2. Sphericity: Difference scores computed between two levels of a within-subjects factor must have the same variance for the comparison of any two levels.
  3. Randomness: Cases should be derived from a random sample, and the scores between participants should be independent of each other.
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