About this document
Understanding Latent Class Analysis by john949 is a document available to read on EtoBox.
Latent class models relate observed discrete variables to latent variables. Latent class analysis (LCA) is used to find subgroups or categories in multivariate categorical data. LCA assumes the observed variables are conditionally independent given the latent class membership. LCA attempts to detect latent classes that explain associations between observed variables.
- Author
- john949
- Language
- EN