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I'm running a multilevel mixture model -- students nested within schools, with two classes defined by a single continuous student-level indicator, and a number of student- and school-level 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 within-level means of the indicator? There are no intercepts apparent in the within-level portion of the results? Thanks |
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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. |
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Thanks. My confusion is in how to interpret the two different means. Is the between-level mean the mean of the between-unit aggregates? If so, what is the within-level mean? Thanks |
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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. |
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Great, thanks. |
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Dear Linda, I run the multilevel mixture model, with cross-level interaction effects. However, I didn't get the R-square for latent variables in the structural path model. Is it MPLUS does not produce R-square for this kind of model?? |
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R-square is not available in this situation. |
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Thank you Linda |
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