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Structural Equation Modeling | 6 |
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Marcoulides, George A. | 6 |
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Marcoulides, George A.; Drezner, Zvi; Schumacker, Randall E. – Structural Equation Modeling, 1998
Introduces an alternative structural equation modeling (SEM) specification search approach based on the Tabu search procedure. Using data with known structure, the procedure is illustrated, and its capabilities for specification searches in SEM are demonstrated. (Author/SLD)
Descriptors: Structural Equation Models

Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling, 1999
Discusses issues in structural-equation-model selection that pertain to the general utility of the principle of parsimony. Provides an example using data generated by the relatively nonparsimonious simplex model and fitted rather well by a parsimonious growth-curve model belonging to a different class of models. (Author/SLD)
Descriptors: Selection, Structural Equation Models

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

Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling, 2001
Outlines a covariance structure analysis approach to the study of parameter trends. Uses the program RAMONA to illustrate the method by fitting a corresponding confirmatory factor analysis model to correlational data from a study involving several psychometric tests and fluid intelligence tasks. (SLD)
Descriptors: Ability, Measures (Individuals), Psychometrics, Structural Equation Models

Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling, 2000
Outlines a method for comparing completely standardized solutions in multiple groups. The method is based on a correlation structure analysis of equal-size samples and uses the correlation distribution theory implemented in the structural equation modeling program RAMONA. (SLD)
Descriptors: Comparative Analysis, Correlation, Sample Size, Structural Equation Models
Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling, 2004
In applications of structural equation modeling, it is often desirable to obtain measures of uncertainty for special functions of model parameters. This article provides a didactic discussion of how a method widely used in applied statistics can be employed for approximate standard error and confidence interval evaluation of such functions. The…
Descriptors: Intervals, Structural Equation Models, Evaluation Methods, Statistical Analysis