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Structural Equation Modeling | 8 |
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Bechger, Timo | 1 |
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Dolan, Conor | 1 |
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Brown, Roger L. – Structural Equation Modeling, 1997
Reviews the use of structural equation modeling for providing an overall assessment of mediation, the mechanism that accounts for the relation between the predictor and the criterion. A strategy for supplemental details is presented that measures the magnitude of mediational effects. (SLD)
Descriptors: Computer Software, Mathematical Models, Predictor Variables, Structural Equation Models

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

Bernaards, Coen A. – Structural Equation Modeling, 1999
SOLAS is a general-purpose program for univariate statistical analysis with the ability to perform multiple imputation (MI) for dealing with missing data. Several completed data sets can be obtained and analyzed separately, and results can be combined so that extra variability due to missing data is taken into account. (SLD)
Descriptors: Computer Software, Computer Software Evaluation, Statistical Analysis, Structural Equation Models

Dolan, Conor; Bechger, Timo; Molenaar, Peter – Structural Equation Modeling, 1999
Considers models incorporating principal components from the perspectives of structural-equation modeling. These models include the following: (1) the principal-component analysis of patterned matrices; (2) multiple analysis of variance based on principal components; and (3) multigroup principal-components analysis. Discusses fitting these models…
Descriptors: Computer Software, Factor Analysis, Goodness of Fit, Matrices

Duncan, Terry E.; Alpert, Anthony; Duncan, Susan C. – Structural Equation Modeling, 1998
An analysis of sibling data from the National Youth Survey shows the pitfalls of ignoring issues of independence and demonstrate how conventional covariance structure software can be easily adapted to handle hierarchical models, providing a new approach that models within-level and between-level covariance matrices in familial antisocial behavior.…
Descriptors: Antisocial Behavior, Computer Software, Matrices, National Surveys
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

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)

Mueller, Ralph O. – Structural Equation Modeling, 1997
Basic philosophical and statistical issues in structural equation modeling (SEM) are reviewed, including model conceptualization, identification, and parameter estimation and data-model-fit assessment and model modification. These issues should be addressed before the researcher uses any of the new generation of SEM software. (SLD)
Descriptors: Computer Software, Estimation (Mathematics), Goodness of Fit, Identification