Volume 32, Issue 1, 2025
1. Improved Goodness of Fit Procedures for Structural Equation Models
Njål Foldnes, Jonas Moss & Steffen Grønneberg
University of Stavanger, BI Norwegian Business School
2. Semiparametric Structural Equation Models with Interval-Censored Data
Hongxi Li, Shuwei Li, Liuquan Sun & Xinyuan Song
Guangzhou University, University of Chinese Academy of Sciences, Chinese University of Hong Kong
3. Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis
Ming-Chi Tseng
National University of Tainan
4. A Note on the Occurrence of the Illusory Between-Person Component in the Random Intercept Cross-Lagged Panel Model
Alexander Robitzsch & Oliver Lüdtke
Leibniz Institute for Science and Mathematics Education
5. Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix
Julia-Kim Walther, Martin Hecht & Steffen Zitzmann
University of Tübingen, Helmut Schmidt University, Medical School Hamburg
6. The Impact of “Negligible” Cross-Loadings in Investigations of Measurement Invariance with MGCFA and MGESEM
Timothy R. Konold, Elizabeth A. Sanders & Kelvin Afolabi
University of Virginia, University of Washington
7. Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research
A. R. Georgeson
Arizona State University
8. Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect
Haixiang Zhang
Tianjin University
9. Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach
Manuel T. Rein, Jeroen K. Vermunt, Kim De Roover & Leonie V. D. E. Vogelsmeier
Tilburg University, Katholieke Universiteit Leuven
10. New Developments in Measurement Invariance Testing: An Overview and Comparison of EFA-Based Approaches
Philipp Sterner, Kim De Roover & David Goretzko
LMU Munich, KU Leuven, Utrecht University
11. Enhancing Model Fit Evaluation in SEM: Practical Tips for Optimizing Chi-Square Tests
Bang Quan Zheng & Peter M. Bentler
University of Arizona, UCLA
12. Are the Signs of Factor Loadings Arbitrary in Confirmatory Factor Analysis? Problems and Solutions
Dandan Tang, Steven M. Boker & Xin Tong
University of Virginia
13. Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs
Chunhua Cao, Yan Wang & Eunsook Kim
University of Alabama, University of Massachusetts Lowell, University of South Florida