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Comparative Analysis2
Maximum Likelihood Statistics2
Robustness (Statistics)2
Structural Equation Models2
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Multivariate Behavioral…1
Psychometrika1
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Brosseau-Liard, Patricia E.1
Lee, Sik-Yum1
Li, Libo1
Savalei, Victoria1
Xia, Ye-Mao1
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An Investigation of the Sample Performance of Two Nonnormality Corrections for RMSEA
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Brosseau-Liard, Patricia E.; Savalei, Victoria; Li, Libo – Multivariate Behavioral Research, 2012
The root mean square error of approximation (RMSEA) is a popular fit index in structural equation modeling (SEM). Typically, RMSEA is computed using the normal theory maximum likelihood (ML) fit function. Under nonnormality, the uncorrected sample estimate of the ML RMSEA tends to be inflated. Two robust corrections to the sample ML RMSEA have…
Descriptors: Structural Equation Models, Goodness of Fit, Maximum Likelihood Statistics, Robustness (Statistics)
Maximum Likelihood Methods in Treating Outliers and Symmetrically Heavy-Tailed Distributions for Nonlinear Structural Equation Models with Missing Data
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Lee, Sik-Yum; Xia, Ye-Mao – Psychometrika, 2006
By means of more than a dozen user friendly packages, structural equation models (SEMs) are widely used in behavioral, education, social, and psychological research. As the underlying theory and methods in these packages are vulnerable to outliers and distributions with longer-than-normal tails, a fundamental problem in the field is the…
Descriptors: Maximum Likelihood Statistics, Statistical Distributions, Structural Equation Models, Robustness (Statistics)