Dear Statisticians,
I have a question about calculating the effect size for a particular predictor in a multilevel model. I am working with a four-level model that uses restricted maximum likelihood estimation with a Kenward-Roger correction. That particular modelling was chosen due to small sample size at the highest level. I relied on the mixed command with reml and dfmethod(kroger) options in Stata 17. I did find this source for calculating an effect size in MLM: https://stats.idre.ucla.edu/stata/fa...ize-for-mixed/.
However, the suggestion is to use meglm to perform these estimations and the meglm command does not allow for restricted maximum likelihood option that I need. Is there a way out? How can I calculate the fixed effect size for my predictor considering the type of estimation I have in my model? Thank you for your help.
I have a question about calculating the effect size for a particular predictor in a multilevel model. I am working with a four-level model that uses restricted maximum likelihood estimation with a Kenward-Roger correction. That particular modelling was chosen due to small sample size at the highest level. I relied on the mixed command with reml and dfmethod(kroger) options in Stata 17. I did find this source for calculating an effect size in MLM: https://stats.idre.ucla.edu/stata/fa...ize-for-mixed/.
However, the suggestion is to use meglm to perform these estimations and the meglm command does not allow for restricted maximum likelihood option that I need. Is there a way out? How can I calculate the fixed effect size for my predictor considering the type of estimation I have in my model? Thank you for your help.
