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 …

Several approaches have been proposed for latent class modeling with external variables,
including one-step, two-step, and three-step estimators. However, very little is known yet …

Despite recent methodological advances in latent class analysis (LCA) and a rapid increase
in its application in behavioral research, complex research questions that include latent …

Latent class analysis (LCA) is a method for testing theories about unobserved
(hypothesized) categorical variables that are measured (imperfectly) by observed …

Growth mixture modeling has gained much attention in applied and methodological social
science research recently, but the selection of the number of latent classes for such models …

The purpose of this study was to examine in which way adding more indicators or a
covariate influences the performance of latent class analysis (LCA). We varied the sample …

Stage-sequential (or multiphase) growth mixture models are useful for delineating
potentially different growth processes across multiple phases over time and for determining …

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 …

The purpose of the present study is to compare performances of mixture modeling
approaches (ie, one-step approach, three-step maximum-likelihood approach, three-step …

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 …