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Raykov, Tenko; Marcoulides, George A.; Boyd, Jeremy – Structural Equation Modeling, 2003
Illustrates how commonly available structural equation modeling programs can be used to conduct some basic matrix manipulations and generate multivariate normal data with given means and positive definite covariance matrix. Demonstrates the outlined procedure. (SLD)
Descriptors: Data Analysis, Matrices, Simulation, Structural Equation Models
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Wendorf, Craig A. – Structural Equation Modeling, 2002
Compares two statistical approaches for the analysis of data obtained from married couples. Summarizes a current multilevel (or hierarchical) model that has demonstrated usefulness in marital research and respecifies this model into a more familiar structural equation modeling formulation. (SLD)
Descriptors: Data Analysis, Marriage, Spouses, Structural Equation Models
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Rigdon, Edward E. – Structural Equation Modeling, 1996
This revision of the structural equation modeling (SEM) package developed by J. L. Arbuckle is a commercial product that can compete with other SEM software. The revision contains new documentation, improvements in the way the program saves files, and new drawing tools. It is a substantial improvement over earlier versions. (SLD)
Descriptors: Computer Software, Computer Software Evaluation, Data Analysis, Structural Equation Models
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Ferrer, Emilio; Hamagami, Fumiaki; McArdle, John J. – Structural Equation Modeling, 2004
This article offers different examples of how to fit latent growth curve (LGC) models to longitudinal data using a variety of different software programs (i.e., LISREL, Mx, Mplus, AMOS, SAS). The article shows how the same model can be fitted using both structural equation modeling and multilevel software, with nearly identical results, even in…
Descriptors: Computer Software, Structural Equation Models, Longitudinal Studies, Data Analysis
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Kaplan, David; Elliott, Pamela R. – Structural Equation Modeling, 1997
A didactic example is presented of the application of new developments in structural equation modeling that allow for the modeling of multilevel data. The method, a synthesis of methods developed by B. Muthen, is applied to the problem of validating indicators of science education quality in the United States. (SLD)
Descriptors: Data Analysis, Educational Quality, Mathematical Models, Organization
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Chin, Wynne W. – Structural Equation Modeling, 1996
The SEPATH structural equation modeling (SEM) software is a new module in the latest release of STATISTICA (version 5.0) for Windows 3.1 and Windows 95. SEPATH is a program that provides a comprehensive set of functions for the SEM modeling. The interface and the Monte Carlo capability are strong features. (SLD)
Descriptors: Computer Interfaces, Computer Software, Data Analysis, Estimation (Mathematics)