Lets say I have a null result, as in the following example:

iris$Rand <- rnorm(150)

m <- lmer(Petal.Width ~ Rand + (1|Species), data = iris)

How would I conduct an equivalence test on Rand?

Edit: I've found a great resource here. But I'm still a bit at a loss on how to decide on the smallest effect size of interest? Is there a way to do it based on the sd of the DV?


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.