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Effect Sizes, Multilevel Models, and Causal inference
Thu, April 8, 12:00 to 1:00pm EDT (12:00 to 1:00pm EDT), SIG Sessions, SIG-Educational Statisticians Roundtable SessionsSession Type: Roundtable Session
Sub Unit
Cosponsor
Chair
Papers
Causal Inference Made Easy: A Review of DoWhy Package in Python Programming Language - Zachary Kendall Collier, The University of Delaware; Liu Liu, University of Georgia
Ecologically Plausible? Comparing the Independent and Paired Samples t-Test With Nonrandom Missingness and Skewed Data - Sequoia Naomi Callahan, Texas A&M University - College Station; Rick Sperling, St. Mary's University San Antonio; Bridget Horta, Saint Mary's University of San Antonio
New Effect Size Measures for Random Slope Effect in Multilevel Models - Julie Ann Lorah, Indiana University - Bloomington
Effect Size Measures for Longitudinal Growth Model - Zonggui Li, Boston College; Ehri Ryu, Boston College
Science Learning Dynamics Between the United States and Its Competitive Countries: Multilevel Multigroup Path Analysis - Ahlam Lee, Xavier University