Hi all,

I am running the below mixed effects model.

Code:
 mixed outcome indeps || _all: R.rater || _all: R.target || _all: R.ph
A colleague questioned whether effect sizes should be reported, since a particular journal likes them. I’m trying to determine whether or not to report these. For my model, all of the variables relate to the research questions, and also coefficients are already being reported in addition to p-values. The examples I’ve seen of people calculating effect sizes seem to relate to one key variable of interest, for example the effects of an intervention in an ANOVA study, whereas all of the variables here relate to the research questions.

My question:
  • Under what circumstances is it appropriate or necessary to report effect sizes in mixed effects models in addition to reporting coefficients and p-values? Is this really just a good idea these days that should be done for every model and all variables in the model?
Sorry if this post is too broad and vague. Thanks in advance for any comments.