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Structural Equation Modeling:…2
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A Note on the Relation between Factor Analytic and Item Response Theory Models
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Kamata, Akihito; Bauer, Daniel J. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
The relations among several alternative parameterizations of the binary factor analysis model and the 2-parameter item response theory model are discussed. It is pointed out that different parameterizations of factor analysis model parameters can be transformed into item response model theory parameters, and general formulas are provided.…
Descriptors: Factor Analysis, Data Analysis, Item Response Theory, Correlation
Is the ML Chi-Square Ever Robust to Nonnormality? A Cautionary Note with Missing Data
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Savalei, Victoria – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Normal theory maximum likelihood (ML) is by far the most popular estimation and testing method used in structural equation modeling (SEM), and it is the default in most SEM programs. Even though this approach assumes multivariate normality of the data, its use can be justified on the grounds that it is fairly robust to the violations of the…
Descriptors: Structural Equation Models, Testing, Factor Analysis, Maximum Likelihood Statistics