As mixed models are becoming more widespread, there is a lot of confusion about when to use these more flexible but complicated models and when to use the much simpler and easier-to-understand repeated measures ANOVA.

One thing that makes the decision harder is sometimes the results are *exactly the same* from the two models and sometimes the results are vastly different.

In many ways, repeated measures ANOVA is antiquated — it’s never better or more accurate than mixed models. That said, it’s a lot simpler.

As a general rule, you should use the simplest analysis that gives accurate results and [click to continue…]

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