Repeated measures case study
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Repeated measures analysis of variance rANOVA is one of the most commonly used statistical approaches to repeated measures designs. 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. Repeated Measures Design : An example of a test using a repeated measures design to test the effects of caffeine on cognitive function. The primary strengths of the repeated measures design is that it makes an experiment more efficient and helps keep the variability low.
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Repeated Measures ANOVA: Definition, Formula, and Example
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This is a VERY crucial concept and definition when we talk about a repeated measures study. We often think of this in terms of time. Is it the same experimental unit? If yes, then we have a classic repeated measures study. If no, then we have reps. Longitudinal study is a term often used in the social sciences.
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Researchers use single-subject design because these designs are sensitive to individual organism differences vs group designs which are sensitive to averages of groups. The logic behind single subject designs is 1 Prediction, 2 Verification, and 3 Replication. The baseline data predicts behavior by affirming the consequent.
All these names imply the nature of the repeated measures ANOVA, that of a test to detect any overall differences between related means. There are many complex designs that can make use of repeated measures, but throughout this guide, we will be referring to the most simple case, that of a one-way repeated measures ANOVA. This particular test requires one independent variable and one dependent variable.
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