Volume 32, Issue 3, 2025
1. The Impact of Non-Normality on Causal Effect Estimates in Structural Equation Models with Ordered Categorical Variables
Benedikt Lugauer & Jana Holtmann
Leipzig University
2. Unsupervised Model Construction in Continuous-Time
Jonathan J. Park, Zachary F. Fisher, Michael D. Hunter, Chad Shenk, Michael Russell, Peter C. M. Molenaar & Sy-Miin Chow
University of California, The Pennsylvania State University, University of Rochester
3. Latent Growth Model with Categorical Indicators: Comparison of the Different Estimators
Jiwon Kim & Tiffany A. Whittaker
Northwestern University, University of Texas at Austin
4. On Selecting Indicators for SEM Models: Trade-Offs Among Variable Type, Quantity, and Quality
Keke Lai
University of Houston
5. Regularized Variational Approximation for Partially Confirmatory Factor Analysis
Yi Jin & Jinsong Chen
The University of Hong Kong
6. Detrending for Intensive Longitudinal Dyadic Data Analysis Using DSEM
Yue Xiao & Hongyun Liu
East China Normal University, Beijing Normal University
7. Latent Variable Interactions with Categorical Indicators: Continuous and Categorical Latent Moderated Structural Equations Approaches
Zhiyuan Shen, Lihan Chen,Emma Somer, Milica Miočević, & Carl F. Falk
McGill University
8. Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests
Ke-Hai Yuan & Zhiyong Zhang
University of Notre Dame
9. Bivariate Latent Change Score Models in Small Sample Contexts: Comparison of Maximum Likelihood and Bayesian Estimation
Jinying Ouyang, Zhehan Jiang, Dexin Shi, Junhao Pan & Shucheng Pan
Peking University, University of South Carolina, Sun Yat-sen University
10. Measurement Model Misspecification in Dynamic Structural Equation Models: Power, Reliability, and Other Considerations
Hyungeun Oh, Michael D. Hunter & Sy-Miin Chow
The Pennsylvania State University
11. Fitting Single- and Multiple-Indicator STARTS Models as Dynamic Structural Equation Models
Steffen Nestler, Alexander Robitzsch & Oliver Lüdtke
University of Münster, Leibniz Institute for Science and Mathematics Education Kiel
12. Linear Logistic Scoring Equations for Latent Class and Latent Profile Models: A Simple Method for Classifying New Cases
Jeroen K. Vermunt & Jay Magidson
Tilburg University, Statistical Innovations Inc
13. Latent Variable Modeling of Social Networks with Directional Relations: An Exploration of Profile Similarity of Latent Factors
Haiyan Liu & Ren Liu
University of California