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Mplus Users Guide v6.. - Muthén & Muthén

Mplus Users Guide v6.. - Muthén & Muthén

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CHAPTER 7is to be performed. By selecting MIXTURE, a mixture model will beestimated.When TYPE=MIXTURE is specified, either user-specified or automaticstarting values are used to create randomly perturbed sets of startingvalues for all parameters in the model except variances and covariances.In this example, the random perturbations are based on automaticstarting values. Maximum likelihood optimization is done in two stages.In the initial stage, 10 random sets of starting values are generated. Anoptimization is carried out for ten iterations using each of the 10 randomsets of starting values. The ending values from the two optimizationswith the highest loglikelihoods are used as the starting values in the finalstage optimizations which are carried out using the default optimizationsettings for TYPE=MIXTURE. A more thorough investigation ofmultiple solutions can be carried out using the STARTS andSTITERATIONS options of the ANALYSIS command.MODEL:%OVERALL%y ON x1 x2;c ON x1;%c#2%y ON x2;y;The MODEL command is used to describe the model to be estimated.For mixture models, there is an overall model designated by the label%OVERALL%. The overall model describes the part of the model thatis in common for all latent classes. The part of the model that differs foreach class is specified by a label that consists of the categorical latentvariable followed by the number sign followed by the class number. Inthe example above, the label %c#2% refers to the part of the model forclass 2 that differs from the overall model.In the overall model, the first ON statement describes the linearregression of y on the covariates x1 and x2. The second ON statementdescribes the multinomial logistic regression of the categorical latentvariable c on the covariate x1 when comparing class 1 to class 2. Theintercept in the regression of c on x1 is estimated as the default.In the model for class 2, the ON statement describes the linear regressionof y on the covariate x2. This specification relaxes the default equality148

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