Mplus Users Guide v6.. - Muthén & Muthén

Examples: Mixture Modeling With Longitudinal Databy adding to the name of the count variable the number sign (#) followedby the number 1.In the parameterization of the growth model for the count part of theoutcome, the intercepts of the outcome variable at the four time pointsare fixed at zero as the default. The means of the growth factors areestimated as the default. The variances of the growth factors are fixedat zero. Because of this, the growth factor covariance is fixed at zero asthe default. The means of the growth factors are not held equal acrossclasses as the default.In the parameterization of the growth model for the inflation part of theoutcome, the intercepts of the outcome variable at the four time pointsare held equal as the default. The mean of the intercept growth factor isfixed at zero in all classes as the default. The mean of the slope growthfactor is estimated and held equal across classes as the default. Thesedefaults can be overridden, but freeing too many parameters in theinflation part of the model can lead to convergence problems. Thevariances of the growth factors are fixed at zero. Because of this, thegrowth factor covariance is fixed at zero. The default estimator for thistype of analysis is maximum likelihood with robust standard errors. TheESTIMATOR option of the ANALYSIS command can be used to selecta different estimator. An explanation of the other commands can befound in Examples 8.1 and 8.9.EXAMPLE 8.12: HIDDEN MARKOV MODEL WITH FOURTIME POINTSTITLE: this is an example of a hidden Markovmodel with four time pointsDATA: FILE IS ex8.12.dat;VARIABLE: NAMES ARE u1-u4;CATEGORICAL = u1-u4;CLASSES = c1(2) c2(2) c3(2) c4(2);ANALYSIS: TYPE = MIXTURE;MODEL:%OVERALL%[c2#1-c4#1] (1);c4 ON c3 (2);c3 ON c2 (2);c2 ON c1 (2);221