Multilevel random effects meta-analysis PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
Message/Author
 Sara Douglass posted on Wednesday, May 23, 2012 - 10:24 am
Hello,

I am working on a multi-level 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
 Linda K. Muthen posted on Wednesday, May 23, 2012 - 12:19 pm
You cannot use a level 2 predictor on level 1. You may be wanting a cross-level interaction. See Example 9.2 in the user's guide.
 Sara Douglass posted on Wednesday, May 23, 2012 - 12:29 pm
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!
 Sara Douglass posted on Wednesday, May 23, 2012 - 12:29 pm
I apologize for the error above - I meant [s]; not [sw];
 Linda K. Muthen posted on Wednesday, May 23, 2012 - 3:56 pm
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.
Back to top
Add Your Message Here
Post:
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Password:
Options: Enable HTML code in message
Automatically activate URLs in message
Action: