Hi All,
I wondered if anyone had previously used a latent class model (such as RandomLCA or PolLCA), and sought to identify individual-level characteristics?
For example, LCA generates class probabilities, and within-class probabilities for each manifest variable in the model.
However, I wondered if it is possible to somehow disaggregate the class probabilities and see them at an individual level?
Of course, this is a very speculative question. But given that previous code from my routine reveals no details on how to proceed with obtaining individual-level disaggregation; I have not included code.
Would appreciate hearing thoughts and ideas