Hello!
I'm trying to work with the metaSEM package for the first time, and I really appreciate it so far!
Why is weighting of the ES by the inverse variance in tssem1 only implemented for fixed effects? Aside from the results of the SEM structure in tssem2, I would like to give readers of my results both FE and RE estimates of the pooled correlation matrix, but I want both to reflect the variance/sample size and they wouldn't be comparable if only one of the methods uses inverse weighting by the variance.
Is there a way to do this for RE, too, or is there a reason why this wouldn't make sense in multivariate RE models?
Thank you!