

Multilevel random effects metaanalysis 

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Hello, I am working on a multilevel meta analysis. The model we have has a continuous Level 1 outcome, a continuous Level 1 predictor, and a continuous Level 2 predictor. I have been able to easily fit a fixed effects model to the data in MPlus, and would like to now fit a random effects model. However, I am running into serious issues with this model, and in looking more closely at the available examples for such analyses I have noticed that they all only use Level 1 predictors. Indeed, when the Level 2 predictor is excluded, the random effects model runs just fine. I am wondering if it is possible to estimate such a model including a Level 2 predictor, and if you might be able to point me to any references regarding this type of analysis? Thank you, Sara Douglass 


You cannot use a level 2 predictor on level 1. You may be wanting a crosslevel interaction. See Example 9.2 in the user's guide. 


Sorry, let me clarify: Is it possible to just include a Level 2 predictor, at Level 2, while modeling a random slope at Level 1. For instance: %WITHIN% s  x on y; %BETWEEN% s; [sw]; [x@0.0]; x@1.0; x on z; Thank you! 


I apologize for the error above  I meant [s]; not [sw]; 


The variable x must be on the WITHIN list when it is used as part of a random slope. So x cannot appear on between. See Example 9.2. 

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