Mplus Users Guide v6.. - Muthén & Muthén

CHAPTER 8MODEL c1:MODEL c2:MODEL c3:MODEL c4:OUTPUT:%c1#1%[u1$1] (3);%c1#2%[u1$1] (4);%c2#1%[u2$1] (3);%c2#2%[u2$1] (4);%c3#1%[u3$1] (3);%c3#2%[u3$1] (4);%c4#1%[u4$1] (3);%c4#2%[u4$1] (4);TECH1 TECH8;u1 u2 u3 u4c1 c2 c3 c4In this example, the hidden Markov model for a single binary outcomemeasured at four time points shown in the picture above is estimated.Although each categorical latent variable has only one latent classindicator, this model allows the estimation of measurement error byallowing latent class membership and observed response to disagree.This is a first-order Markov process where the transition matrices arespecified to be equal over time (Langeheine & van de Pol, 2002). Theparameterization of this model is described in Chapter 14.The CLASSES option is used to assign names to the categorical latentvariables in the model and to specify the number of latent classes in the222