In Event: AERA Poster Session Thursday 7:45am

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

7. Specifying Weakly Informative Priors in Bayesian Meta-Analysis (Poster 7) - Junok Kim, University of California - Los Angeles; Michael H. Seltzer, University of California - Los Angeles

8. Home Possessions and Student Achievement in the United States: Insights from PISA 2022 (Poster 8) - Latif Kadir, The Ohio State University; Valerie Ofori Aboah, The Ohio State University

9. Predicting Instructional Quality in Elementary Math Classrooms Using Machine Learning and Observation Data (Poster 9) - Jerry Nelluvelil, Harvard University; Yixuan Cui, Harvard University

10. An Application of Composite-Based Structural Equation Modeling to Instructional Coaching (Poster 10) - Marah Lambert, University of North Carolina - Charlotte; Kyle T. Cox, University of North Carolina - Charlotte; Carl Westine, University of North Carolina - Charlotte

11. Machine Learning in Predicting Undergraduate Student Attrition: A Scoping Review (Poster 11) - 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

12. New Tools, Old Questions: Rethinking Success in Gateway Statistics Courses through Machine Learning and Theory (Poster 12) - Sunny Nguyet Le, California State University - Fullerton

13. ICT use and student achievement: Evidence from PIRLS 2021 using machine learning techniques (Poster 13) - Jose Manuel Cordero, Universidad de Extremadura; Víctor España, Universidad Miguel Hernández; María Gil-Izquierdo, Universidad Autonoma de Madrid; Lucia Mateos-Romero, Universidad de Extremadura

14. Advancing Predictive Modeling in Behavioral Health with Gradient-Boosted Bootstrap Modeling (Poster 14) - Graham Zulu, University of Denver