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

Damian M. Berry, Baylor College of Medicine

Defining and Estimating Causal Effects in Randomized Single-Case Alternating Treatment Design: A Counterfactual Approach - Wen Luo, Texas A&M University; Chendong Li, Texas A&M University

Effect Estimation in Randomized Single-Case Experimental Designs: The Influence of Undetected Extraneous Variables - John M. Ferron, University of South Florida; Moses Muchiri Mohamed, University of South Florida; Joel R. Levin, University of Arizona; Tom Kratochwill

Aligning One-stage and Two-stage Approaches for Combining Individual Participant and Aggregated Data in Meta-analysis - Jingru Zhang, University of Wisconsin - Madison; James E. Pustejovsky, University of Wisconsin - Madison

Item-Level Prediction of ADHD-Related Impairment Using Machine Learning and SEM Across Informants - Xuefei Zou, University of Pennsylvania

Jointly Optimal Design for Experiments Investigating Main and Moderation Effects - Zuchao Shen, University of Georgia; Benjamin Kelcey, University of Cincinnati; Zhenqiu Laura Lu, University of Georgia; Jingyang Li, University of Georgia; Jing Li, University of Georgia

Ann A. O'Connell, Rutgers University

Graham Zulu, University of Denver