From the course: Introduction to jamovi

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Repeated measures ANOVA

Repeated measures ANOVA - jamovi Tutorial

From the course: Introduction to jamovi

Repeated measures ANOVA

you are making comparisons, you may be making them explicitly or you may be making them implicitly. The comparison that's usually most important in research is for instance, a controller baseline condition versus some sort of experimental or manipulated or intervention condition. The idea is that if people are randomly assigned But a really interesting and powerful alternative to this, powerful, meaning statistically powerful, easier to find the effect with fewer people is what's called a repeated measures design and this is where everybody in your study gets to serve as their own control, their own comparison or baseline. Now the way you do that is by gathering data from them in more than one condition. If you have four conditions, you'd get it in all four conditions and then you compare the change from one condition to another for each person. Again, a much more powerful design, if your study allows for it. Now, the example dataset that I want to use is the bug's dataset and this is…

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