#Thesis review 4 (JLCA)

Thesis : 김창현 (2015) Joint Latent Class Analysis with Covariates. Abstract This paper proposes a new type of latent class analysis(LCA), a joint latent class analysis(JLCA), which provide a set of principles for systematic identification of the subsets of joint patterns of the two or more discrete latent variables. The identification process of JLCA is divided into two steps. In the first step, J..