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

Yun Xiang, Northwest Evaluation Association

Capturing Nonlinearity in Growth Curve Models: A Monte Carlo Comparison of Generalized Additive and Generalized Linear Models - Kristynn J. Sullivan, University of California - Merced; Sarah Depaoli, University of California - Merced

Comparison of Methods for Handling Missing Data When Fitting a Latent Growth Model - Nan Chen, Beijing Normal University; Hongyun Liu, Beijing Normal University; Yuan Liu, The Chinese University of Hong Kong; Huan Liu, Beijing Normal University

Model Misspecification and Assumption Violations With the Linear Mixed Model: A Meta-Analysis - Brandon LeBeau, University of Arkansas

Nonlinear Latent Curve, Autoregressive Latent Trajectory, and Latent Curve Autoregressive Moving Average (LCARMA) Models as Rival Longitudinal Hypotheses: A Monte Carlo Discriminant Study - Stephen A. Sivo, University of Central Florida; Parul Acharya, Columbus State University

Proportionality Assumption in Latent Basis Curve Models: A Cautionary Note - Kyle Lang; Wei Wu, The University of Kansas

Yeow Meng Thum, Northwest Evaluation Association