SIG-Structural Equation Modeling and Multilevel Modeling Methods

Yu-Yu Hsiao, University of New Mexico

On the Prevalence and Appropriate Use of Data-Model-Based Informative Priors for Estimating Multilevel Linear Models - Zhigang Zhang, University of Washington; Elizabeth A. Sanders, University of Washington; Timothy R. Konold, University of Virginia

Bayesian Piecewise Structural Equation Modeling for Interpretable Nonlinear Relations - Dayeon Lee, University of Maryland; Gregory R. Hancock, University of Maryland

Causal Mediation with Machine Learning Under Unmeasured Cluster-Level Confounding - Cameron McCann, University of Texas at Austin; Xiao Liu, University of Texas at Austin

Evaluating Cross-Lagged Models: A Comparative Analysis Using Simulated and Empirical Data - Xiaoyu Yang, Texas A&M University; Lu Chen, Texas A&M University; Su Jiang, University of Houston Downtown; Oiman Kwok, Texas A&M University

Targeted Machine Learning for Latent Outcomes in Causal Research - Amota Ataneka, University of Cincinnati; Benjamin Kelcey, University of Cincinnati; Jean Baptiste Habarurema, University of Cincinnati

Yan Wang, University of Massachusetts Lowell