Volume 30, Issue 5, 2023
1. Reflecting on the “Robust” Standard Errors for Two-Stage SEM Estimation With Categorical Data: Mistakes and Correction
Keke Lai & Ana Simoes
University of California at Merced
2. Products of Variables in Structural Equation Models
Steven M. Boker, Timo von Oertzen, Joshua N. Pritikin, Michael D. Hunter, Timothy R. Brick, Andreas M.
Brandmaier & Michael C. Neale
The University of Virginia, University of the Bundeswehr, MakerDAO Immunefi Security, The Pennsylvania State University, Max Planck Institute for Human Development MSB Medical School Berlin, Virginia Commonwealth University
3. Precluding Interpretational Confounding in Factor Analysis with a Covariate or Outcome via Measurement and Uncertainty Preserving Parametric Modeling
Roy Levy
Arizona State University
4. Three-Step Latent Class Analysis with Inverse Propensity Weighting in the Presence of Differential Item Functioning
F. J. Clouth, S. Pauws & J. K. Vermunt
Tilburg University;b The Netherlands Comprehensive Cancer Organisation, Tilburg University
5. Causal Mediation Analysis for Multivariate Longitudinal Data and Survival Outcomes
Xiaoxiao Zhou & Xinyuan Song
Chinese University of Hong Kong
6. A Dynamic Approach to Control for Cohort Differences in Maturation Speed Using Accelerated Longitudinal Designs
Pablo F. Cáncer, Eduardo Estrada & Emilio Ferrer
Universidad Autónoma de Madrid, University of California, Davis
7. Bifactor Exploratory Structural Equation Models Versus Traditional Approaches in Predicting External Criteria
Honglei Gu, Zhonglin Wen & Kit-Tai Hau
Hunan Normal University, South China Normal University & The Chinese University of Hong Kong
8. On the Requirements of Non-linear Dynamic Latent Class SEM: A Simulation Study with Varying Numbers of Subjects and Time Points
Vivato Andriamiarana, Pascal Kilian, Augustin Kelava & Holger Brandt
University of Tübingen
9. One Does Not Simply Correct for Serial Dependence
Sigert Ariens, Janne K. Adolf & Eva Ceulemans
Katholieke Universiteit Leuven
10. Model Fit Indices for Random Effects Models: Translating Model Fit Ideas from Latent Growth Curve Models
Ziwei Zhang, Corissa T. Rohloff & Nidhi Kohli
University of Minnesota
11. Application of Associative Discrete-Time Survival Analysis Using Latent Transition Specification
Sooyong Lee, Kahyun Lee & Tiffany A. Whittaker
The Univeristy of Texas at Austin, University of Houston
12. Understanding Dyad, Person, and Contextual Effects in Dyadic Analysis
Robert E. Wickham
Northern Arizona University