10 Structural Equation Modeling

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[3]  Sik-Yum Lee Bayesian Analysis of Nonlinear Structural Equation Models with Nonignorable Missing Data , 2006 .

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[5]  Ke-Hai Yuan,et al.  Mean Comparison: Manifest Variable Versus Latent Variable , 2006 .

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[19]  Ke-Hai Yuan,et al.  On the asymptotic distributions of two statistics for two-level covariance structure models within the class of elliptical distributions , 2004 .

[20]  K. Yuan,et al.  Structural equation modeling with heavy tailed distributions , 2004 .

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[28]  Craig K. Enders,et al.  Using an EM Covariance Matrix to Estimate Structural Equation Models With Missing Data: Choosing an Adjusted Sample Size to Improve the Accuracy of Inferences , 2004 .

[29]  Sik-Yum Lee,et al.  Comparison of Approaches in Estimating Interaction and Quadratic Effects of Latent Variables , 2004, Multivariate behavioral research.

[30]  K. Yuan,et al.  A NEW MEASURE OF MISFIT FOR COVARIANCE STRUCTURE MODELS , 2004 .

[31]  P. Allison Missing data techniques for structural equation modeling. , 2003, Journal of abnormal psychology.

[32]  Conor V Dolan,et al.  Weak measurement invariance with respect to unmeasured variables: an implication of strict factorial invariance. , 2003, The British journal of mathematical and statistical psychology.

[33]  Sik-Yum Lee,et al.  Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables , 2003, Comput. Stat. Data Anal..

[34]  Ke-Hai Yuan,et al.  Eight test statistics for multilevel structural equation models , 2003, Comput. Stat. Data Anal..

[35]  Peter M. Bentler,et al.  8. Assessing the Effect of Model Misspecifications on Parameter Estimates in Structural Equation Models , 2003 .

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[37]  Sik-Yum Lee,et al.  Maximum Likelihood Estimation of Nonlinear Structural Equation Models with Ignorable Missing Data , 2003 .

[38]  K. Yuan,et al.  Bootstrap approach to inference and power analysis based on three test statistics for covariance structure models. , 2003, The British journal of mathematical and statistical psychology.

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[49]  R. MacCallum,et al.  When fit indices and residuals are incompatible. , 2002, Psychological methods.

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[51]  Christine DiStefano,et al.  The Impact of Categorization With Confirmatory Factor Analysis , 2002 .

[52]  Ke-Hai Yuan,et al.  On robusiness of the normal-theory based asymptotic distributions of three reliability coefficient estimates , 2002 .

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[56]  Ke-Hai Yuan,et al.  Fitting structural equation models using estimating equations: a model segregation approach. , 2002, The British journal of mathematical and statistical psychology.

[57]  K. Yuan,et al.  Cross-validation by downweighting influential cases in structural equation modelling. , 2002, The British journal of mathematical and statistical psychology.

[58]  K. Yuan,et al.  A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers , 2002 .

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[73]  B. Muthén Latent Variable Mixture Modeling , 2001 .

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[75]  Roger E. Millsap When Trivial Constraints Are Not Trivial: The Choice of Uniqueness Constraints in Confirmatory Factor Analysis , 2001 .

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