This paper is a tribute to researchers who have significantly contributed to improving and
advancing structural equation modeling (SEM). It is, therefore, a brief overview of SEM and …

Structural equation modeling (SEM) has become a quasi-standard in marketing and
management research when it comes to analyzing the cause-effect relations between latent …

In order to determine the status quo of PLS path modeling in international marketing
research, we conducted an exhaustive literature review. An evaluation of double-blind …

In this paper, the authors show that PLS path modeling can be used to assess a hierarchical
construct model. They provide guidelines outlining four key steps to construct a hierarchical …

This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be
implemented in addressing research questions that lend themselves to SEM. Its purpose is …

Significantly revised, the fifth edition of the most complete, accessible text now covers all
three approaches to structural equation modeling (SEM)--covariance-based SEM …

Linear structural equation modeling has become an indispensable methodology for
specifying, estimating, and testing hypothesized interrelationships among a set of …

Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first
coordinated manual of methods for analyzing ordered categorical data. This book discusses …

Designed to help beginners estimate and test structural equation modeling (SEM) using the
EQS approach, this book demonstrates a variety of SEM//EQS applications that include both …

This book introduces multiple-latent variable models by utilizing path diagrams to explain
the underlying relationships in the models. This approach helps less mathematically inclined …