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I'm running a multilevel mixture model  students nested within schools, with two classes defined by a single continuous studentlevel indicator, and a number of student and schoollevel predictors of both class membership and the value of the predictor (within one class). I'm specifying the mean structure for the class indicator at the between level, but when I run the TECH4 output, I get estimated means for the indicator at both the between and within levels. What is the interpretation of the withinlevel means of the indicator? There are no intercepts apparent in the withinlevel portion of the results? Thanks 


In TECH4, within only variables have their means on the within level. Between only variables and variables that are both between and within have their means on the between level. If a dependent variable is regressed on a within only variable or set of variables, the model implied mean of the dependent variable is a function of the within variable means of the independent variables and is reported on the within level. I added TECH4 to Example 10.1 to figure this out. You can do this also. 


Thanks. My confusion is in how to interpret the two different means. Is the betweenlevel mean the mean of the betweenunit aggregates? If so, what is the withinlevel mean? Thanks 


The one on the between level is the between part of the mean of y implied by the model. The one on the within level is the within part of the mean implied by the model. The model estimated mean is the sum of these. 


Great, thanks. 


Dear Linda, I run the multilevel mixture model, with crosslevel interaction effects. However, I didn't get the Rsquare for latent variables in the structural path model. Is it MPLUS does not produce Rsquare for this kind of model?? 


Rsquare is not available in this situation. 


Thank you Linda 

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