In Event: AERA Poster Session Thursday 7:45am

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

Specifying Weakly Informative Priors in Bayesian Meta-Analysis - Junok Kim, University of California - Los Angeles; Michael H. Seltzer, University of California - Los Angeles

Home Possessions and Student Achievement in the United States: Insights from PISA 2022 - Latif Kadir, The Ohio State University; Valerie Ofori Aboah, The Ohio State University

Predicting Instructional Quality in Elementary Math Classrooms Using Machine Learning and Observation Data - Jerry Nelluvelil, Harvard University; Yixuan Cui, Harvard University

An Application of Composite-Based Structural Equation Modeling to Instructional Coaching - Marah Lambert, University of North Carolina - Charlotte; Kyle T. Cox, University of North Carolina - Charlotte; Carl Westine, University of North Carolina - Charlotte

Machine Learning in Predicting Undergraduate Student Attrition: A Scoping Review - Oluwaseun Peter Farotimi, University of Tennessee; Oluwasayo Farotimi, Georgia Southern University; Comfort Happiness Omonkhodion, University of Central Florida; Funke Anuoluwapo Dada, Georgia Southern University; Debbie L. Hahs-Vaughn, University of Central Florida; Haiyan Bai, University of Central Florida

New Tools, Old Questions: Rethinking Success in Gateway Statistics Courses through Machine Learning and Theory - Sunny Nguyet Le, California State University - Fullerton

ICT use and student achievement: Evidence from PIRLS 2021 using machine learning techniques - Jose Manuel Cordero, Universidad de Extremadura; Víctor España, Universidad Miguel Hernández; María Gil-Izquierdo, Universidad Autonoma de Madrid; Lucia Mateos-Romero, Universidad de Extremadura

Advancing Predictive Modeling in Behavioral Health with Gradient-Boosted Bootstrap Modeling - Graham Zulu, University of Denver