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Structural Equation Modeling | 4 |
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Rigdon, Edward E. | 4 |
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Reports - Evaluative | 3 |
Book/Product Reviews | 1 |
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The Equal Correlation Baseline Model for Comparative Fit Assessment in Structural Equation Modeling.

Rigdon, Edward E. – Structural Equation Modeling, 1998
An alternative baseline model for comparative fit assessment of structural equation models is described, evaluated, and compared to the standard "null" baseline model. The new "equal correlation" model constrains all variables to have equal, rather than zero, correlations, but all variances are free. Advantages and limitations…
Descriptors: Comparative Analysis, Correlation, Goodness of Fit, Structural Equation Models

Rigdon, Edward E. – Structural Equation Modeling, 1998
Continuing a discussion of the topic of fit assessment in structural equation modeling, this article accepts the compromise proposed by H. Marsh (1998) and offers tentative heuristic models for interpreting fit indices that involve the new baseline model proposed by E. Rigdon (1998). (SLD)
Descriptors: Comparative Analysis, Correlation, Goodness of Fit, Heuristics

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

Rigdon, Edward E. – Structural Equation Modeling, 1999
Explores the use of the Friedman method of ranks (H. Friedman, 1937) as an inferential procedure for evaluating competing models in structural-equation modeling. Describes the attractive features of this approach, but raises important issues regarding the lack of independence of observations and the power of the test. (SLD)
Descriptors: Comparative Analysis, Nonparametric Statistics, Power (Statistics), Selection