Mplus Users Guide v6.. - Muthén & Muthén

Examples: Mixture Modeling With Cross-Sectional Datathird ON statement specifies the multinomial logistic regression of thecategorical latent variable c on the covariate x1 when comparing class 1to class 2. The intercept in the regression of c on x1 is estimated as thedefault.In the model for class 2, the ON statement describes the Poissonregression of the count part of u on the covariate x2. This specificationrelaxes the default equality constraint for the regression coefficient. Theintercepts of u are free and unequal across classes as the default. Allother parameters are held equal across classes as the default. Thedefault estimator for this type of analysis is maximum likelihood withrobust standard errors. The ESTIMATOR option of the ANALYSIScommand can be used to select a different estimator. An explanation ofthe other commands can be found in Example 7.1.EXAMPLE 7.3: LCA WITH BINARY LATENT CLASSINDICATORS USING AUTOMATIC STARTING VALUESWITH RANDOM STARTSTITLE:this is an example of a LCA with binarylatent class indicators using automaticstarting values with random startsDATA: FILE IS ex7.3.dat;VARIABLE: NAMES ARE u1-u4 x1-x10;USEVARIABLES = u1-u4;CLASSES = c (2);CATEGORICAL = u1-u4;AUXILIARY = x1-x10 (e);ANALYSIS: TYPE = MIXTURE;OUTPUT: TECH1 TECH8 TECH10;151