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Structural Equation Modeling with EQS and EQS/WINDOWS
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Structural Equation Modeling with EQS and EQS/WINDOWS
Basic Concepts, Applications, and Programming



April 1994 | 304 pages | SAGE Publications, Inc
Designed to help beginners estimate and test structural equation modelling (SEM) using the EQS approach, this book demonstrates a variety of SEM/EQS applications that include both partial factor analytic and full latent variable models. Beginning with an overview of the basic concepts of SEM and the EQS program, the author works through applications starting with a single sample approach through to more advanced applications, such as a multi-sample approach. The book concludes with a section on using EQS for modelling with Windows.
Peter M Bentler
Foreword
 
PART ONE: INTRODUCTION
 
Structural Equation Models
 
Using the EQS Program
 
PART TWO: SINGLE-GROUP ANALYSES
 
Application 1
Testing the Factorial Validity of a Theoretical Construct (1st-order CFA Model)

 
 
Application 2
Testing the Factorial Validity of a Measuring Instrument (1st-order CFA Model)

 
 
Application 3
Testing the Factorial Validity of a Measuring Instrument (2nd-order CFA Model)

 
 
Application 4
Testing for Construct Validity Via the Multitrait-Multimethod Model

 
 
Application 5
Testing the Validity of a Causal Structure

 
 
PART THREE: MULTIPLE GROUP ANALYSES
 
Application 6
Testing for Invariant Factorial Structure of a Theoretical Construct (1st-order CFA Model)

 
 
Application 7
Testing for Invariant Factorial Structure of a Measuring Instrument (1st-order CFA Model)

 
 
Application 8
Testing for Invariant Latent Mean Structures

 
 
Application 9
Testing for Invariant Causal Structure

 
 
PART FOUR: WINDOW TREATMENTS: A LOOK AT EQS/WINDOWS (VERSION 4)
 
Introduction to EQS/Windows
 
Application 10
Preliminary Data-Screening Analyses

 
 
Application 11
Building an EQS Model File - Instantly!

 

"Byrne’s book is a delightfully written, systematic approach to the practical use of structural equation modeling in research. It begins with first principles and advances systematically through intermediate and advanced topics, introducing at each step the theory that is relevant as well as the practical models needed to implement these ideas on real models used in actual research contexts. The reader can then easily modify the examples for their own research since the types of models discussed will be relevant in many research contexts. The book is also timely, being the first text to show how statistics generally, and modeling in particular, can be fun in the Windows environment." 

Peter M. Bentler
University of California, Los Angeles

". . . . Newcomers to SEM who want to use EQS or EQS/Windows would benefit greatly from this book, either for self-teaching or as a supplemental guide in a course. . . . Byrne intends her books ‘to provide a practical guide to SEM using the EQS approach.’ She succeeds admirably." 

George R. Franke
Journal of Marketing Research

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