Hello,
I am wondering how I can calculate a Cohen's d effect size from my mixed model output (attached), especially in the case of an interaction effect? I have seen some online resources saying to use the least squares mean difference divided by the model root mean square error in order to do so for main effects. However, when doing this, I sometimes get an effect size that appears inflated based on the data. I am using JMP Student Edition 19.0.3.
Any advice would be greatly appreciated, thank you!
- Ava