  This paper provides a tutorial discussion on analyzing structural equation
modelling (SEM). SEM can be regarded as regression models with observed and
unobserved indicators, have been extensively applied to practical and
fundamental studies. We deliver an introduction to SEM method and a detailed
description of how to deal with analyzing the data with this kind of modelling.
The intended audience is statisticians/mathematicians/methodologists who either
know about SEM or simple basic statistics especially in regression and
linear/nonlinear modeling, and Ph.D. students in statistics, mathematics,
management, psychology, and even computer science.
