Volume 32, Issue 2, 2025
1. A Structural After Measurement Approach to Bifactor Predictive Models
Jinsoo Choi, Sunbeom Kwon & Bo Zhang
University of Illinois Urbana-Champaign
2. Assessing Heterogeneity of Correlation Matrices in Misspecified Meta-Analytic Structural Equation Models
Christian Bloszies & Tobias Koch
Friedrich Schiller University Jena
3. Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos
Jinsong Chen & Yifan Zhang
The University of Hong Kong
4. The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches
Jasper Bogaert, Wen Wei Loh, Florian Schuberth & Yves Rosseel
Ghent University, Maastricht University, University of Twente
5. A Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes
Yanling Li, Lindy Williams, Chelsea Muth, Saeideh Heshmati, Sy-Miin Chow & Zita Oravecz
The Pennsylvania State University, Westhampton Family Psychologists, Claremont Graduate University
6. Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples
Sooyong Lee, Adam Sales, Hyeon-Ah Kang & Tiffany A. Whittaker
The University of Wisconsin-Madison, Mathematical Sciences Worcester Polytechnic Institute, The University of Texas at Austin
7. Dynamic Structural Equation Modeling with Cycles
Bengt Muthén, Tihomir Asparouhov & Loes Keijsers
Mplus, Erasmus University Rotterdam
8. Addressing Missing Data in Latent Class Analysis When Using a Three-Step Estimation Approach
Sarah Depaoli, Fan Jia & Marieke Visser
University of California
9. Evaluating Local Model Misspecification with Modification Indices in Bayesian Structural Equation Modeling
Mauricio Garnier-Villarreal & Terrence D. Jorgensen
Vrije Universiteit Amsterdam, University of Amsterdam
10. Evaluation of Structural Equation Model Forests’ Performance to Identify Omitted Influential Covariates
John Alexander Silva Díaz, Moritz Heene & Andreas M. Brandmaier
Ludwig Maximilian University of Munich, Max Planck Institute for Human Development
11. Incorporating Individual Differences in Conjoint Analysis: A Structural Equation Modeling Approach
Chung-Ping Cheng
National Cheng Kung University
12. Joint Effects in Cross-Lagged Panel Research Using Structural Nested Mean Models
Jeroen D. Mulder, Satoshi Usami & Ellen L. Hamaker
Utrecht University, University of Tokyo
13. SEM Approach to the Mediation Analysis of the Two-Condition Within-Subject Design
Eujin Park & Changsoon Park
Korea Aerospace University, State University of New York, Korea