I'm a new Mplus user and I would like to ask a question re Growth Mixture Modeling.
I'm measuring an outcome (nicotine dependence) over 20 survey cycles. I want to create latent classes based on the development and change of nicotine dependence over 20 cycles. However, when people stop smoking, they are excluded from the survey cycle they report smoking cessation until the end of the study (cycle 20). Other participants, however, remain smokers and have data for 20 cycles.
Here's my question. Given that some participants are censored while others are not, can I have latent classes that are of shorter durations than others? Is it possible to model this reality with Mplus and GMM?