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RT2: Quantitative Advances and Approaches to Research on Inclusion, Equity, Educational Disparities and Student Success
Sat, April 11, 3:45 to 5:15pm PDT (3:45 to 5:15pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: Ground Floor, Gold 4Session Type: Roundtable Session
Abstract
This roundtable showcases innovative quantitative approaches to examining equity, language, and learning outcomes across diverse educational contexts. The papers explore language-related factors influencing reading growth among multilingual students, institutional and demographic predictors of transgender-inclusive policies using QuantQueer machine learning, geospatial modeling of regional disparities in college students’ critical-thinking performance, and the application of longitudinal latent class analysis to assess equity in a post-affirmative-action landscape. Collectively, these studies demonstrate the power of advanced analytics, ranging from random-forest modeling to spatial statistics and latent class methods—to uncover hidden patterns, challenge traditional assumptions, and inform data-driven strategies that promote inclusion and fairness in education.
Sub Unit
Papers
Effects of Selected Language-Related Factors on Reading Performance: A Finite Mixture Growth Modeling Study - Robyn Mennella, Long Island University - Brookville
Predicting Inclusion: Institutional Correlates of Transgender-Inclusive Policies in U.S. Public Universities using Machine Learning Analysis - Amanda J. Davis Simpfenderfer, College of William & Mary; Ailidh Wallace, College of William & Mary; Travis Heath Olson, Michigan State University; Obed Amoakoh Boateng, Virginia Commonwealth University; Kamden Strunk, Virginia Commonwealth University; Jason C. Garvey, University of Vermont; Mario I Suárez, Utah State University
Geospatial Analysis of Higher Education Students’ Critical-Thinking Skills - Doris Zahner, Council for Aid to Education; Jouni Vettenranta, University of Jyväskylä; Heidi M. Hyytinen, University of Helsinki; Jani Ursin, University of Jyvaskyla
Longitudinal Latent Models and the Potential for Equity in a Post-Race Consciousness Policy Environment - Tafadzwa Tivaringe, Spencer Foundation