This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and lat

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book

"This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with a

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explai

This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or fa