TOC: Struct Equation Modeling
Introduction
Structural Equation Modeling: A Multidisciplinary Journal, 21(2)
Evaluating Model Fit With Ordered Categorical Data Within a Measurement Invariance Framework: A Comparison of Estimators
–Daniel A. Sass, Thomas A. Schmitt & Herbert W. Marsh [] []
A Simulation Study Comparing Recent Approaches for the Estimation of Nonlinear Effects in SEM Under the Condition of Nonnormality
–Holger Brandt, Augustin Kelava & Andreas Klein [] []
Modeling Change in the Presence of Nonrandomly Missing Data: Evaluating a Shared Parameter Mixture Model
–Nisha C. Gottfredson, Daniel J. Bauer & Scott A. Baldwin [] []
The Impact of Ignoring Time Series Processes in Linear Growth Mixture Modeling
–Namwook Koo & Walter L. Leite [] []
Comparing Squared Multiple Correlation Coefficients Using Structural Equation Modeling
–Joyce L. Y. Kwan & Wai Chan [] []
The Impact of Inaccurate “Informative” Priors for Growth Parameters in Bayesian Growth Mixture Modeling
–Sarah Depaoli [] []
An Empirical Evaluation of Mediation Effect Analysis With Manifest and Latent Variables Using Markov Chain Monte Carlo and Alternative Estimation Methods
–Jinsong Chen, Jaehwa Choi, Brandi A. Weiss & Laura Stapleton [] []
Determining the Number of Latent Classes in Single- and Multiphase Growth Mixture Models
–Su-Young Kim [] []
Robust Two-Stage Approach Outperforms Robust Full Information Maximum Likelihood With Incomplete Nonnormal Data
–Victoria Savalei & Carl F. Falk [] []
Dyadic Curve-of-Factors Model: An Introduction and Illustration of a Model for Longitudinal Nonexchangeable Dyadic Data
–Tiffany A. Whittaker, S. Natasha Beretvas & Toni Falbo [] []
Examining Measure Correlations With Incomplete Data Sets
–Tenko Raykov, Brooke C. Schneider, George A. Marcoulides & Peter A. Lichtenberg [] []
Book Review
Review of Data Analysis With MPlus, by Christian Geiser
–Pega Davoudzadeh []