Mplus Users Guide v6.. - Muthén & Muthén

Examples: Multilevel Mixture Modelingof the between part of the model, the means of the random slopes arespecified to vary across the between-level classes of cb. The intercept ofthe random intercept y varies across the between-level classes of cb asthe default.The default estimator for this type of analysis is maximum likelihoodwith robust standard errors using a numerical integration algorithm.Note that numerical integration becomes increasingly morecomputationally demanding as the number of factors and the sample sizeincrease. In this example, one dimension of integration is used with atotal of 15 integration points. The ESTIMATOR option of theANALYSIS command can be used to select a different estimator. Anexplanation of the other commands can be found in Example 10.1.Following is an alternative specification of the MODEL command that issimpler when the model has many covariates and when the variances ofthe random slopes are zero:MODEL:%WITHIN%%OVERALL%y ON x1 x2;%cb#1%y ON x1 x2;%cb#2%y ON x1 x2;%BETWEEN%%OVERALL%cb ON w;y ON w;In this specification, instead of the | statements, the random slopes arerepresented as class-varying slopes in the class-specific parts of thewithin part of the model. This specification makes it unnecessary torefer to the means and variances of the random slopes in the betweenpart of the model.301