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RT3: Imputation Strategies and Synthesis/Meta-Analytic Designs with Mediation Effects or Complex Structures
Sat, April 11, 1:45 to 3:15pm PDT (1:45 to 3:15pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: Ground Floor, Gold 4Session Type: Roundtable Session
Abstract
This roundtable brings together five studies advancing quantitative methods for improving research validity, synthesis, and data integrity. The papers address causal mediation analysis in single-case experimental designs, dependence handling in meta-analytic structural equation modeling, detection of publication bias in meta-regression, and modern imputation techniques, including machine learning approaches—for handling missing data in large-scale assessments and propensity score analyses. Collectively, these studies enhance understanding of how statistical assumptions, estimation strategies, and data quality influence inference across educational research contexts. The session offers a comprehensive look at cutting-edge methodological solutions for more accurate, transparent, and reproducible quantitative analyses.
Sub Unit
Papers
Synthesis of Single-Case Design Mediation Effects using Two-Stage Multilevel Modeling - Mariola Moeyaert, University at Albany - SUNY; Milica Miocevic, McGill University; Matthew Valente, University of South Florida; Yaosheng Lou, University at Albany - SUNY
A Comparison of Approaches for Handling Within-Study Dependency in Correlations for Meta-Analytic Structural Equation Modeling - Sunyoung Park, California Lutheran University; Tasha Beretvas, University of Texas at Austin
A Comparison of Methods for Assessing Publication Bias in Mixed-Effects Meta-Regression Models - Man Chen, University of Texas at Austin
Missing Data Imputation Using Machine Learning: A Comparative Study with Traditional Mean Imputation - Yuchen Wang; Zhushan Mandy Li, Boston College
Handling Missing Outcomes in Propensity Score: Comparing Multiple Imputation and Multiple Imputation-then-Deletion - Xinchang Zhou, University of Illinois at Urbana-Champaign; Yan Xia, University of Illinois at Urbana-Champaign