Volume 31, Issue 1, 2024
1. An Evaluation of Non-Iterative Estimators in Confirmatory Factor Analysis
Saijun Zhao, Zhiyong Zhang & Hong Zhang
University of Science and Technology of China, University of Notre Dame, University of Science and Technology of China
2. Dynamic Fit Index Cutoffs for Hierarchical and Second-Order Factor Models
Daniel McNeish & Patrick D. Manapat
Arizona State University
3. Leveraging Observation Timing Variability to Understand Intervention Effects in Panel Studies: An Empirical Illustration and Simulation Study
Andrea Hasl, Manuel Voelkle, Charles Driver, Julia Kretschmann & Martin Brunner
University of Potsdam, Humboldt University of Berlin, University of Zurich
4. The Impact of Ignoring Cross-loadings on the Sensitivity of Fit Measures in Measurement Invariance Testing
Chunhua Cao & Xinya Liang
University of Alabama, University of Arkansas
5. Revisiting Savalei’s (2011) Research on Remediating Zero-Frequency Cells in Estimating Polychoric Correlations: A Data Distribution Perspective
Tong-Rong Yang & Li-Jen Weng
National Taiwan University
6. The SEM Reliability Paradox in a Bayesian Framework
Timothy R. Konold & Elizabeth A. Sanders
University of Virginia, University of Washington
7. Temporal Misalignment in Intensive Longitudinal Data: Consequences and Solutions Based on Dynamic Structural Equation Models
Xiaohui Luo & Yueqin Hu
Beijing Normal University
8. The Impact of Omitting Confounders in Parallel Process Latent Growth Curve Mediation Models: Three Sensitivity Analysis Approaches
Xiao Liu, Zhiyong Zhang, Kristin Valentino & Lijuan Wang
The University of Texas at Austin, University of Notre Dame
9. Studying Between-Subject Differences in Trends and Dynamics: Introducing the Random Coefficients Continuous-Time Latent Curve Model with Structured Residuals
Julian F. Lohmann, Steffen Zitzmann & Martin Hecht
Kiel University, University of Tübingen, Helmut Schmidt University
10. Benefits of Doing Generalizability Theory Analyses within Structural Equation Modeling Frameworks: Illustrations Using the Rosenberg Self-Esteem Scale
Walter P. Vispoel, Hyeri Hong & Hyeryung Lee
University of Iowa, California State University Fresno
11. Latent Growth Models for Count Outcomes: Specification, Evaluation, and Interpretation
Daniel Seddig
University of Cologne