Division D - Measurement and Research Methodologies / Division D - Section 2: Quantitative Methods and Statistical Theory

Xinya Liang, University of Arkansas

A Monte Carlo Sensitivity Analysis Approach for Omitted Confounders in Latent Growth Curve Mediation Models - Xiao Liu, University of Texas at Austin; Zhiyong Zhang, University of Notre Dame; Kristin Valentino; Lijuan Wang

Predicting the Constructiveness of Student-Student Classroom Conversations: An Exploratory Study on Uptake - Hsiaolin Hsieh, Stanford University; Victoria L. Delaney, Stanford University; Simon Wiles

Propensity Score Modeling in the Presence of Measurement Non-Invariance - Joseph E. Miller, University of Texas at Austin; Tiffany A. Whittaker, University of Texas at Austin

The Implications of Using Multiple Data Sources for Generalization Studies - Wendy Chan, University of Pennsylvania; Jimin Oh, University of Pennsylvania; Yeran Tong, University of Pennsylvania; Jiexuan Huang, University of Pennsylvania; Chen Li, University of Pennsylvania

The Sensitivity of Bayesian Fit Indices to Structural Misspecification in Structural Equation Modeling Using Bayesian Estimation - Chunhua Cao, University of Alabama; Benjamin Lugu, University of Alabama; Jujia Li, University of Alabama; Kaiwen Man, University of Alabama

Ismail Dilek, University of Iowa