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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 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 to more advanced applications, such as a multi-sample approach. The book concludes with a section on using EQS for modeling with Windows.
List of contents
Foreword - Peter M Bentler
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!
Summary
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 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 to more advanced applications, such as a multi-sample approach. The book concludes with a section on using EQS for modeling with Windows.
