STRUCTURAL EQUATION MODELING WITH EQS
Basic Concepts, Applications, and Programming, Second Edition (ISBN 0-8058-4126-1)
Barbara M. Byrne
University of Ottawa, Canada
Researchers and students who want a less mathematical alternative to the EQS manual will
find exactly what theyre looking for in this
practical text. Written specifically for those with little to no knowledge of structural
equation modeling (SEM) or EQS, the authors goal is
to provide a non-mathematical introduction to the basic concepts of SEM by applying these
principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS
applications that include confirmatory factor analytic and full latent variable models.
Analyses are based on a wide variety of data representing single and multiplegroup models;
these include data that are normal/non-normal, complete/incomplete, and
continuous/categorical.
Written in a user-friendly style, the author walks
the reader through the varied steps involved in the process of
testing SEM models. These include
model specification and estimation, assessment of model fit, description of EQS output,
and interpretation of findings. Each of the book's applications is accompanied by: a
statement of the hypothesis being tested, a schematic representation of the model,
explanations and interpretations of the related EQS input and output files, tips on how to
use the associated pull-down menus and icons, and the data file upon which the application
is based. Beginning with an overview of the basic concepts of SEM and the EQS program, the
book carefully works through applications starting with relatively simple single group
analyses, through to more advanced applications, such as a multi-group, latent growth
curve, and multilevel modeling.
CONTENTS:
Part I: Introduction. Structural Equation Models: The
Basics. Using the EQS Program.
Part II: Single-Group Analyses.
- Application 1: Testing for the Factorial Validity of a
Theoretical Construct (First-Order CFA Model).
- Application 2: Testing for the Factorial Validity of
Scores From a Measuring Instrument (First-Order CFA Model).
- Application 3: Testing for the Factorial Validity of
Scores from a Measuring Instrument (Second-Order CFA Model). Application 4: Testing for
the Validity of a Causal Structure.
Part III: Multiple-Group Analyses.
- Application 5: Testing for the Factorial Invariance of
a Measuring Instrument.
- Application 6: Testing for the Invariance of a Causal
Structure.
- Application 7: Testing for Latent Mean Differences
(First-Order CFA Model).
- Application 8: Testing for Latent Mean Differences
(Second-Order CFA Model).
Part IV: Other Important Topics.
- Application 9: Testing for Construct Validity: The
Multitrait-Multimethod Model.
- Application 10: Testing for Change Over Time: The
Latent Growth Curve Model.
- Application 11: Testing for Within and Between
Variance: The Multilevel Model.
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