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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 self-extracting archive that contains LISREL syntax and data files.
Download all examples (136 KB) in the form of one self-extracing 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 self-extracting archive Chapter5.exe (74 KB) contains the LISREL syntax and data files used by Kühnel (2001).
Two-stage 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 two-stage least-squares estimation method. The self-extracting 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 self-extracting 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 self-extracting archive Chapter10.exe (67 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 self-extracting 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 self-extracting 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 self-extracting 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 self-extracting 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
Yang-Wallentin, Schmidt and Bamberg (2001) demonstrate how LISREL may be used to test for latent variable interactions. The self-extracting archive Chapter18.exe (105 KB) contains the corresponding PRELIS syntax, LISREL syntax and data files.
Comparisons of the ML and TSLS estimators for the Kenny-Judd model
Yang-Wallentin (2001) illustrates how LISREL may be used to perform a empirical comparison of ML and TSLS estimates. The self-extracting archive Chapter19.exe (70 KB) contains the corresponding PRELIS syntax, LISREL syntax and data files.
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