Latent Class Analysis

A probabilistic finite‑mixture modeling method for categorical (or discretized) response data that estimates a specified number of latent (unobserved) classes, each characterized by class‑specific response probabilities for observed indicators, and yields class membership probabilities and class prevalences under assumptions of local independence within classes and model identifiability.