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Advanced Research Methodologies in Educational Data
Thu, May 4, 8:00 to 9:30am CDT (8:00 to 9:30am CDT), Division D Virtual Sessions, Division D - Section 2: Quantitative Methods and Statistical Theory Virtual Paper RoomSession Type: Virtual Paper Session
Abstract
This session includes four papers that investigate different statistical methods in educational data analysis.
Sub Unit
Chair
Papers
Comparing Bayesian and Frequentist Measurement Invariance Detection Techniques: A Monte Carlo Simulation - Eric Robert Schuler, American University; Huan Kuang, Florida State University
Logistic-Quantile and Uniform-Based Mixture Distribution With a Doubling Technique - Mohan Dev Pant, Eastern Virginia Medical School
Penalized Regression Versus Forward Stepwise Regression in Variable Selection and Significance Testing: Evidence From PISA 2015 - Jin Eun Yoo, Korea National University of Education; Minjeong Rho, Korea National University of Education
Single-Case Experimental Design Meta-Analyses: A Systematic Review of Methodology - Marzieh Dehghan-Chaleshtori, University at Albany - SUNY; Mariola Moeyaert, University at Albany - SUNY; Xinyun Xu, University at Albany - SUNY