Mplus Users Guide v6.. - Muthén & Muthén

CHAPTER 7indicators, the default constraint of equality of variances across classesis relaxed. The covariances among the latent class indicators withinclass are fixed at zero as the default. The default estimator for this typeof 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 7.1 and 7.4.EXAMPLE 7.11: LCA WITH BINARY, CENSORED,UNORDERED, AND COUNT LATENT CLASS INDICATORSUSING USER-SPECIFIED STARTING VALUES WITHOUTRANDOM STARTSTITLE: this is an example of a LCA with binary,censored, unordered, and count latentclass indicators using user-specifiedstarting values without random startsDATA: FILE IS ex7.11.dat;VARIABLE: NAMES ARE u1 y1 u2 u3;CLASSES = c (2);CATEGORICAL = u1;CENSORED = y1 (b);NOMINAL = u2;COUNT = u3 (i);ANALYSIS: TYPE = MIXTURE;STARTS = 0;MODEL:%OVERALL%%c#1%[u1$1*-1 y1*3 u2#1*0 u2#2*1 u3*.5u3#1*1.5];y1*2;%c#2%[u1$1*0 y1*1 u2#1*-1 u2#2*0 u3*1 u3#1*1];y1*1;OUTPUT: TECH1 TECH8;The difference between this example and Example 7.4 is that the latentclass indicators are a combination of binary, censored, unorderedcategorical (nominal) and count variables instead of binary variables.The CATEGORICAL option is used to specify which dependentvariables are treated as binary or ordered categorical (ordinal) variables160