 The
text honors Dr. Karl Jöreskog's outstanding academic
career through contributions of current researchers in Structural
Equation Modeling.
The book contains
the following sections:
- Part A: History and Perspectives: This section will
be indispensable to educators and students alike who want
to explore the roots of factor analysis, including some
more personal accounts by two of Dr. Jöreskog's former
students.
- Part B: Robustness, Reliability, and Fit Assessment:
Six chapters explore the evolution and current execution
of the methodology in greater depth.
- Part C: Repeated Measurements, Experimental Design:
Investigations and discussion of longitudinal data analysis,
including some new approaches to model design.
- Part D: Ordinal Data and Interaction Models: Some modern
extensions of structural modeling theory are explored
and expanded in this section.
For depth and breadth,
Structural Equation Modeling: Present and Future
is definitely a worthy addition to the library of anyone
who is involved in the field. Overall, it will provide wonderful
insight into the progress that has come from the ongoing
work of Dr. Jöreskog and countless others in Factor
Analysis and Structural Equation Modeling.Copyright 2001
Scientific Software International, Inc.
ISBN: 0-89498-049-1
Price: $40. For ordering information, click
here.
This book is divided
into four parts.
Students and teachers
of SEM will be especially interested in Part A, "History
and Perspectives.'' It starts with two of Karl's former
doctoral students presenting a personal overview of his
career and placing him in a long tradition of famous statisticians
while tracing the development of factor analysis. In combination
with Karl's academic resume that follows this preface, the
reader is offered a good idea of the scope and depth of
Karl's (still ongoing) career.
This first part also
has a contribution on SEM as a teaching tool and a discussion
of its philosophical merits. Two further chapters focus
on the role of the measurement model within the SEM methodology
and the issue of estimation within factor analysis.
Part B - Robustness,
Reliability, and Fit Assessment - includes two chapters
on robustness, two chapters with new reliability measures,
a report on how the number of variables influences the assessment
of fit in SEM, and a new treatment of the two-stage least
squares estimation method that has recently come to the
fore again. This part should be particularly interesting
for the applied researcher who wants to learn more about
the methodological aspects of SEM .
Part C deals with models
for "Repeated Measures and Experimental Design.'' Use
of SEM in longitudinal data analysis has become one of the
most valuable domains of application of the methodology.
Two of the five chapters in this section summarize new approaches,
one dealing with repeated measures data, and a second that
investigates time series analysis. The investigation of
issues in experimental design from the SEM perspective opens
up a number of valuable data analysis possibilities.
Finally, the contributions
in Part D focus on "Ordinal Data and Interaction Models.''
These five chapters nicely illustrate some of the newest
areas of research in SEM, and show how the classic SEM theoretical
framework is being extended to both nonlinear models and
ordinal data. This work demonstrates that methodological
developments quickly translate into important tools for
substantive researchers.
Many of the chapters
have examples that were analyzed with the LISREL program.
The interested reader may download data and syntax files
for these examples from each author's abstract page or the
examples page.
A: HISTORY AND PERSPECTIVES
- 1 Dag Sörbom
Karl Jöreskog and LISREL: a personal story 3
- 2 Gösta Hägglund
Milestones in the history of Factor Analysis 11
- 3 Robert C. MacCallum, Ledyard R Tucker, & Nancy
E. Briggs
An alternative perspective on parameter estimation in
factor analysis and related methods 39
- 4 Stanley A. Mulaik
Objectivity and other metaphors of structural equation
modeling 59
- 5 Steffen Kühnel
The didactical power of Structural Equation Modeling 79
- 6 Willem E.Saris
Measurement models in sociology and political science
97
B: ROBUSTNESS, RELIABILITY, FIT
ASSESSMENT 117
- 7 Kenneth A. Bollen
Two-stage least squares and latent variable models: simultaneous
estimation and robustness to misspecifications 119
- 8 Anne Boomsma & Jeffrey J. Hoogland
The robustness of LISREL modeling revisited 139
- 9 Einar Breivik & Ulf H. Olsson
Adding variables to improve fit: the effect of model size
on fit assessment in LISREL 169
- 10 Gregory R. Hancock & Ralph O. Mueller
Rethinking construct reliability within latent variable
systems 195
- 11 Tenko Raykov
Studying change in scale reliability for repeated multiple
measurements via covariance structure modeling 217
- 12 Albert Satorra
Goodness of fit testing of structural equation models
with multiple group data and nonnormality 231
C: REPEATED MEASUREMENTS, EXPERIMENTAL
DESIGN 257
- 13 Stephen H.C. du Toit & Robert Cudeck
The analysis of nonlinear random coefficient regression
models with LISREL using constraints 259
- 14 Stephen H.C. du Toit & Michael W. Browne
The covariance structure of a vector ARMA time series
279
- 15 David Kaplan, Polina Harik, & Lawrence Hotchkiss
Cross-sectional estimation of dynamic structural equation
models in disequilibrium 315
- 16 John J. McArdle
A latent difference score approach to longitudinal dynamic
structural analysis 341
- 17 Yutaka Kano
Structural equation modeling for experimental data 381
D:
ORDINAL DATA, INTERACTION MODELS 403
- 18 Fan Yang-Wallentin, Peter Schmidt, & Sebastian
Bamberg
Testing Interactions with three different methods in the
theory of planned behavior: analysis of traffic behavior
data 405
- 19 Fan Yang-Wallentin
Comparisons of the ML and TSLS estimators for the Kenny-Judd
model 425
- 20 Peder Blom & Anders Christoffersson
Estimation of nonlinear structural equation models using
empirical characteristic functions 443
- 21 Irini Moustaki
A review of exploratory factor analysis for ordinal categorical
data 461
- 22 Rolf Steyer & Ivailo Partchev
Latent state-trait modeling with logistic item response
models 481
CONTRIBUTORS 521
REFERENCES 527
AUTHOR INDEX 581
SUBJECT
INDEX 589
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