Latent variable mixture modeling is a flexible method that can analyze different types of data to investigate various research questions. It can predict class membership, compare outcomes across different classes, and explore how class membership affects relationships between variables. The method goes by different names depending on the type of data and variables used, such as latent profile analysis or growth mixture modeling.