Hi, I am a new user of Mplus. We are studying changes over time in a set of related dichotomous symptom indicators (a given symptom is either present or not-present at each time point in a large sample of adolescents and adults).
Two questions are at the heart of our research. First, what is the latent trajectory of symptom status across the lifespan for each separate symptom? Second, which symptoms tend to change together?
I am beginning to have some luck fitting latent growth models with Mplus to address the first question.
However, I need help understanding whether Mplus can help us essentially do a factor analysis of latent symptom slopes. Any suggestions would be appreciated. I would also appreciate references to research that has addressed this kind of question.
You can consider doing an EFA followied by a CFA at each time point to determine whether you are measuring the same number of dimensions at each time points. You can then test measurement invariance over time. If you have measurement invariance, you can model the growth in the latent variables. I am not aware of references to this particular model.