EQUATION MODELING WITH EQS
Basic Concepts, Applications, and Programming, Second Edition (ISBN
Researchers and students who want a less mathematical alternative to the EQS
manual will find exactly what they’re
looking for in this practical text. Written specifically for those with
little to no knowledge of structural equation modeling (SEM) or EQS, the
author’s 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,
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.
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
- 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
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
- Application 10: Testing for
Change Over Time: The Latent Growth Curve
- Application 11: Testing for
Within and Between Variance: The Multilevel Model.