The Festschrift in honor
of Karl Jöreskog (Cudeck, Du Toit and Sörbom 2001)
consists of 22 chapters on the statistical theory and methods
for Structural Equation Modeling (SEM). Ten of these chapters
include practical applications of the SEM statistical methods
to real data. This page provides a brief description of the
syntax and data files for eight of these applications.
Unique file extensions
are used to distinguish between the various types of files.
Firstly, the extension .ls8 is used to indicate a LISREL
syntax file. Secondly, the file extensions .raw and
.dat are used for text files containing raw data. Thirdly,
text files that contain sample covariance matrices have the
extension .cov. Estimated asymptotic covariance matrices
(weight matrices) are stored in binary files with an .acm
extension. Finally, the extension .exe is used to indicate
a selfextracting archive that contains LISREL syntax and
data files.
Download all
examples (136 KB) in the form of one selfextracing
exe file, or select the examples by chapter below.
The didactical power
of Structural Equation Modeling
Kühnel (2001) includes
no less than 8 LISREL analyses in his chapter on the didactical
power of Structural Equation Modeling. The selfextracting
archive Chapter5.exe (74 KB)
contains the LISREL syntax and data files used by Kühnel
(2001).
Twostage least squares
and latent variable models: simultaneous estimation and robustness
to misspecifications
Bollen (2001) demonstrate
how LISREL may be used to compare existing
estimation methods with new methods such as the twostage
leastsquares estimation method. The selfextracting archive
Chapter7.exe (68 KB)
contains the corresponding LISREL syntax and data files.
Adding variables
to improve fit: the effect of model size on fit assessment
in LISREL
Breivik and Olsson (2001)
demonstrate how LISREL may be used to investigate
the effects of the number of variables on the measures of
fit of confirmatory factor analysis models. The selfextracting
archive Chapter9.exe (69 KB)
contains the corresponding LISREL syntax and data files.
Rethinking construct
reliability within latent variable systems
Hancock & Mueller (2001)
illustrate how LISREL can be utilized to assess the construct
reliability of measuring instruments of latent variables.
The WinZip archive Chapter10.zip
(2 KB) contains the corresponding PRELIS syntax, LISREL
syntax and data files.
Studying change in
scale reliability for repeated measurements via covariance
structure modeling
Raykov (2001) demonstrates
how LISREL may be used to study the change
in scale reliability of measuring instruments of latent variables.
The selfextracting archive Chapter11.exe (66 KB)
contains the corresponding LISREL syntax and data files.
The analysis of nonlinear
random coefficient regression models with LISREL using constraints
Du Toit & Cudeck (2001)
use the nonlinear constraint facility of LISREL
to demonstrate how LISREL may be used to
fit nonlinear random coefficient regression models to data.
The selfextracting archive Chapter13.exe
(68 KB) contains the corresponding LISREL syntax and
data files.
The covariance structure
of a vector ARMA time series
Du Toit & Browne (2001)
show how the covariance structure of a vector ARMA time series
can be expressed as a LISREL model. They also illustrate how
LISREL may be used to fit this covariance
structure to data. The selfextracting archive Chapter14.exe
(67 KB) contains the corresponding LISREL syntax
and data files.
A latent difference
score approach to longitudinal dynamic structural analysis
McArdle (2001) illustrates
how LISREL may be used to apply a latent
difference score approach to the dynamic structural analysis
of longitudinal data. The selfextracting archive Chapter16.exe
(69 KB) contains the corresponding LISREL syntax and
data files.
Testing interactions
with three different methods in the theory of planned behavior:
analysis of traffic behavior data
YangWallentin, Schmidt
and Bamberg (2001) demonstrate how LISREL
may be used to test for latent variable interactions. The
selfextracting archive Chapter18.exe
(105 KB) contains the corresponding PRELIS syntax,
LISREL syntax and data files.
Comparisons of the
ML and TSLS estimators for the KennyJudd model
YangWallentin (2001) illustrates
how LISREL may be used to perform a empirical
comparison of ML and TSLS estimates. The selfextracting archive
Chapter19.exe (70 KB)
contains the corresponding PRELIS syntax, LISREL syntax and
data files.
