TOC: Structural Equation Modeling
Introduction
Structural Equation Modeling: A Multidisciplinary Journal, 20(3)
Causal Inference in Latent Class Analysis
–Stephanie T. Lanza, Donna L. Coffman & Shu Xu [] []
Investigating Factorial Invariance of Latent Variables Across Populations When Manifest Variables Are Missing Completely
–Keith F. Widaman, Kevin J. Grimm, Dawnté R. Early, Richard W. Robins & Rand D. Conger [] []
Measurement Error Models With Uncertainty ÂÜÀòÉç¹ÙÍøt the Error Variance
–Daniel L. Oberski & Albert Satorra [] []
Multivariate Meta-Analysis as Structural Equation Models
–Mike W.-L. Cheung [] []
Detecting Misspecification in Mean Structures for Growth Curve Models: Performance of Pseudo R 2s and Concordance Correlation Coefficients
–Wei Wu & Stephen G. West [] []
First- Versus Second-Order Latent Growth Curve Models: Some Insights From Latent State-Trait Theory
–Christian Geiser, Brian T. Keller & Ginger Lockhart [] []
Measurement Models, Estimation, and the Study of Change
–Kevin J. Grimm, Anthony P. Kuhl & Zhiyong Zhang [] []
Reporting Monte Carlo Studies in Structural Equation Modeling
–Anne Boomsma [] []
Book Review
Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd Edition)
–Robert S. Stawski []
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