TOC: Struct Eqn Modeling
Introduction
Structural Equation Modeling: A Multidisciplinary Journal, 23(6)
Notes on the Steiger–Lind (1980) Handout
–James H. Steiger [] []
Covariates and Mixture Modeling: Results of a Simulation Study Exploring the Impact of Misspecified Effects on Class Enumeration
–Karen Nylund-Gibson & Katherine E. Masyn [] []
Augmenting the Correlated Trait–Correlated Method Model for Multitrait–Multimethod Data
–Laura Castro-Schilo, Kevin J. Grimm & Keith F. Widaman [] []
Analysis of Correlation Matrices Using Scale-Invariant Common Principal Component Models and a Hierarchy of Relationships Between Correlation Matrices
–Fei Gu [] []
Improving Factor Score Estimation Through the Use of Observed Background Characteristics
–Patrick J. Curran, Veronica Cole, Daniel J. Bauer, Andrea M. Hussong & Nisha Gottfredson [] []
On Examining Specificity in Latent Construct Indicators
–Tenko Raykov & George A. Marcoulides [] []
Estimation of Time-Unstructured Nonlinear Mixed-Effects Mixture Models
–Sarfaraz Serang, Kevin J. Grimm & John J. McArdle [] []
Measurement Invariance Testing Across Between-Level Latent Classes Using Multilevel Factor Mixture Modeling
–Eun Sook Kim, Seang-Hwane Joo, Philseok Lee, Yan Wang & Stephen Stark [] []
Integration of Stochastic Differential Equations Using Structural Equation Modeling: A Method to Facilitate Model Fitting and Pedagogy
–Pascal R. Deboeck & Aaron J. Boulton [] []
Teacher’s Corner
On the Estimation of Nonlinear Mixed-Effects Models and Latent Curve Models for Longitudinal Data
–Shelley A. Blozis & Jeffrey R. Harring [] []
tetrad: A Set of Stata Commands for Confirmatory Tetrad Analysis
–Shawn Bauldry & Kenneth A. Bollen [] []
Book Review
Review of Latent Variable Modeling Using R, by A. Alexander Beaujean
–Jonathan Lee Helm []
