Volume 30, Issue 3, 2023

1. Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling: A Comment on Yuan and Deng (2021)
Florian Schuberth, Yves Rosseel, Mikko Rönkkö, Laura Trinchera, Rex B. Kline & Jörg Henseler
University of Twente, Ghent University, University of Jyväskylä, NEOMA Business School, Concordia University & University of Twente;f Universidade Nova de Lisboa

2. A Reply to “Structural Parameters under Partial Least Squares and Covariance-based Structural Equation Modeling: A Comment on Yuan and Deng (2021)” by Schuberth, Rosseel, Rönkkö, Trichera, Kline, and Henseler (2023)
Ke-Hai Yuan & Lifang Deng
University of Notre Dame & Beihang University

3. Classical and Bayesian Uncertainty Intervals for the Reliability of Multidimensional Scales
Julius M. Pfadt, Don van den Bergh & Morten Moshagen
Ulm University & University of Amsterdam

4. Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling
Gyeongcheol Cho & Heungsun Hwang
McGill University

5. The Effect of Model Size on the Root Mean Square Error of Approximation (RMSEA): The Nonnormal Case
Yunhang Yin, Dexin Shi & Amanda J. Fairchild
University of South Carolina

6. Testing Measurement Invariance over Time with Intensive Longitudinal Data and Identifying a Source of Non-invariance
Eunsook Kim, Chunhua Cao, Siyu Liu, Yan Wang & Robert Dedrick
University of South Florida, University of Alabama

7. Extended Unbiased Distribution Free Estimator With Mean Structures
Han Du
University of California

8. The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation
Shufang Zheng, Lijin Zhang, Zhehan Jiang & Junhao Pan
Sun Yat-sen University, Stanford University, Peking University & Sun Yat-sen University

9. Detecting Latent Classes Through Mediation in Regression Mixture Models
Natashia Bibriescas & Tiffany A. Whittaker
University of Texas at Austin

10. Revisiting the Impact of Measurement Quality on Targeted Structural Model Fit Indexes in Structural Equation Modeling
Chunhua Cao, Kaiwen Man & Yuan Ge
University of Alabama

11. Croon’s Bias-corrected Estimation for Multilevel Structural Equation Models with Latent Interactions
Kyle Cox, Benjamin Kelcey & Fangxing Bai
University of North Carolina at Charlotte, University of Cincinnati

12. Causal Mediation Analysis with a Binary Mediator: The Influence of the Estimation Approach and Causal Contrast
Noah A. Schuster, Jos W. R. Twisk, Martijn W. Heymans & Judith J. M. Rijnhart
Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam

13. Denning Where Did I Go Wrong with My Model? Ten Tips for Getting Results in SEM
Jason T. Newsom, Zeinab A. Hachem, Aeleah M. Granger & Emily C.
Portland State University

14. Incorporating Measurement Error in the Dynamic Structural Equation Modeling Using a Single Indicator or Multiple Indicators
Hyungeun Oh & Seungmin Jahng
Sungkyunkwan University