TOC: Struct Eqn Modeling
Introduction
Structural Equation Modeling: A Multidisciplinary Journal, 23(5)
Modeling Self-Regulation as a Process Usinga Multiple Time-Scale Multiphase Latent Basis Growth Model
–Jonathan Lee Helm, Nilam Ram, Pamela M. Cole & Sy-Miin Chow [] []
Bias-Adjusted Three-Step Latent Markov Modeling With Covariates
–Roberto Di Mari, Daniel L. Oberski & Jeroen K. Vermunt [] []
A Bayesian Approach for Estimating Multilevel Latent Contextual Models
–Steffen Zitzmann, Oliver Lüdtke, Alexander Robitzsch & Herbert W. Marsh [] []
A Simulation Study of Polychoric Instrumental Variable Estimation in Structural Equation Models
–Shaobo Jin, Hao Luo & Fan Yang-Wallentin [] []
Fitting Unstructured Finite Mixture Models in Longitudinal Design: A Recommendation for Model Selection and Estimation of the Number of Classes
–Naoya Todo & Satoshi Usami [] []
Assessing and Controlling Acquiescent Responding When Acquiescence and Content Are Related: A Comprehensive Factor-Analytic Approach
–Pere Joan Ferrando, Fàbia Morales-Vives & Urbano Lorenzo-Seva [] []
Examining Population Heterogeneity in Finite Mixture Settings Using Latent Variable Modeling
–Tenko Raykov, George A. Marcoulides & Chi Chang [] []
Teacher’s Corner
Specifying and Interpreting Latent State–Trait Models With Autoregression: An Illustration
–Jason M. Prenoveau [] []
On Using Bayesian Methods to Address Small Sample Problems
–Daniel McNeish [] [] Book Review
Review of Introduction to Scientific Programming and Simulation Using R (2nd Ed.), by Owen Jones, Robert Maillardet, and Andrew Robinson
–Corinne M. Henk []
