Filled with well-chosen empirical examples to teach the technique, this book provides a
thorough guide to latent class scaling models for binary response variables. Substantive …

Often quantities of interest in psychology cannot be observed directly. These unobservable
quantities, known as latent variables, tend to be complex, often multidimensional, constructs …

Latent class analysis is an analytic technique often used in educational and psychological
research to identify meaningful groups of individuals within a larger heterogeneous …

Latent class analysis (LCA) is a statistical method used to identify unobserved subgroups in
a population with a chosen set of indicators. Given the increasing popularity of LCA, our aim …

A modern, comprehensive treatment of latent class and latent transition analysis for
categorical data On a daily basis, researchers in the social, behavioral, and health sciences …

This study investigated the performance of three selected approaches to estimating a two-
phase mixture model, where the first phase was a two-class latent class analysis model and …

Often quantities of interest in psychology cannot be observed directly. These unobservable
quantities are known as latent variables. By using multiple items as indicators of the latent …

Latent class analysis is frequently used when the researcher has a set of categorically
scored observed measures that are highly interrelated. The latent class model (LCM)–which …

Latent class analysis (LCA) provides a means of identifying a mixture of subgroups in a
population measured by multiple categorical indicators. Latent transition analysis (LTA) is a …

Applied Latent Class Analysis introduces several innovations in latent class analysis to a
wider audience of researchers. Many of the world's leading innovators in the field of latent …