Hi Mike, and others,
I have a question on three-level meta-analysis and TSSEM. I'm working on a meta-analysis, in which I want to test the effects of three predictors on three outcomes, preferably using TSSEM. However, several studies provide multiple effect sizes for a single relation. To overcome this dependency, I would like to use three-level meta-analysis. However, to me as a beginner it looks like the 2 methods are not compatible. Therefore, to me, I have two options if I want to use MASEM: 1) Conduct analyses on bivariate relationships by fitting 3-level RE models, and use the correlation matrix as input, or 2) Aggregate effect sizes and conduct TSSEM. (Total effect sizes before aggregation = 260, after aggregation = 160)
What would you recommend?
Thanks in advance!