TOC: Struct Equation Modeling
Introduction
Structural Equation Modeling: A Multidisciplinary Journal, 21(3)
Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus
–Tihomir Asparouhov & Bengt Muthén [] []
Predictions of Individual Change Recovered With Latent Class or Random Coefficient Growth Models
–Sonya K. Sterba & Daniel J. Bauer [] []
Interaction Effects in Latent Growth Models: Evaluation of Alternative Estimation Approaches
–Zhonglin Wen, Herbert W. Marsh, Kit-Tai Hau, Yan Wu, Hongyun Liu & Alexandre J. S. Morin [] []
A Mixture Group Bifactor Model for Binary Responses
–Sun-Joo Cho, Allan S. Cohen & Seock-Ho Kim [] []
Estimation of Controlled Direct Effects in the Presence of Exposure-Induced Confounding and Latent Variables
–Tom Loeys, Beatrijs Moerkerke, An Raes, Yves Rosseel & Stijn Vansteelandt [] []
Measurement Invariance Across Groups in Latent Growth Modeling
–Eun Sook Kim & Victor L. Willson [] []
A Comparison of Diagonal Weighted Least Squares Robust Estimation Techniques for Ordinal Data
–Christine DiStefano & Grant B. Morgan [] []
A Latent Transition Mixture Model Using the Three-Step Specification
–Karen Nylund-Gibson, Ryan Grimm, Matt Quirk & Michael Furlong [] []
A Confirmatory Factor Analysis Approach to Test Anxiety
–Peter F. Halpin, Cibele da-Silva & Paul De Boeck [] []
Teacher’s Corner
A Nonlinear Structural Equation Mixture Modeling Approach for Nonnormally Distributed Latent Predictor Variables
–Augustin Kelava, Benjamin Nagengast & Holger Brandt []
Graphical Extension of Sample Size Planning With AIPE on RMSEA Using R
–Tzu-Yao Lin & Li-Jen Weng []
Book Review
Review of The Handbook of Developmental Research Methods, by Brett Laursen, Todd D. Little, and Noel A. Card
–Angela D. Staples []