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

Russell Almond, Florida State University

Paradigm Wars II: The Ongoing Struggle Between Machine Learning and Classical Statistical Modeling - J. Kyle Roberts, Southern Methodist University; Ellen Taylor, Southern Methodist University

Four-Year College Engineering and Computer Science Student Mental Health: Relevant Factors and Demographic Differences - Xingchen Xu, Arizona State University; Li Tan, Arizona State University

Investigation on Students’ Sense of School Belonging: Application of Mixed-effects Random Forest to TIMSS Data - Miryeong Koo, University of Illinois at Urbana-Champaign; Jinming Zhang, University of Illinois at Urbana-Champaign

Using Selected Machine Learning Models to Identify and Explain Malleable Student and Teacher Antecedents of Student Achievement - Amota Ataneka, University of Cincinnati; Benjamin Kelcey, University of Cincinnati

Leveraging ENR-GLM (Elastic-Net Regularized Generalized Linear Model) and Neural Networks for Predicting Student Dropout and Academic Success - Xiaoting Zhong, University of Iowa; Tao Wang, University of Victoria

Michael Broda, Virginia Commonwealth University