Structural Equation Models
Structural Equation Models is a scholarly work by Brisa N. Sánchez, published in 2005. The main subjects of the publication include data science, econometrics, Behavior change, epidemiology, Network analysis, latent variable, management science, psychometrics, Subject matter, causal inference, structural equation modeling, computer science, and multivariate statistics. The authors make connections to recent work on latent variable models for multivariate outcomes and to measurement error methods, and discuss advantages and disadvantages of SEMs compared with traditional regressions.