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

Ergul Demir, Ankara University

Predicting U.S. Mathematics Achievement in PISA 2022: A Comparative Analysis of Penalized Regression Techniques and Identification of Key Predictors - Eter Mjavanadze, George Mason University; Angela D. Miller, George Mason University

Predicting High-Ability Students by Using the Teacher Rating Scale: Insights from Machine Learning and Explainable AI Approaches - Taeyong Kim, Lewis University; Hyeseong Lee, Lewis University; Ali M. Alodat, Qatar University and Yarmouk University

Leveraging LLMs on Teacher Voices to Drive Retention Policies - Angela D. Starrett, University of South Carolina; Svetlana Dmitrieva, University of South Carolina; Brian Cartiff, University of South Carolina

Clarify the Importance of Tree Numbers in Random Forest Regression - YaShan Zhuang, East China Normal University; Yi Jiang, East China Normal University

ADAM estimation for the hierarchical joint model of response accuracy and response time - Yingshi Huang, University of California - Los Angeles; Minjeong Jeon, University of California - Los Angeles

Ann A. O'Connell, Rutgers University

Jeongwon Choi, Vanderbilt University