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Missing Data in Measurement
Sat, April 23, 2:30 to 4:00pm PDT (2:30 to 4:00pm PDT), San Diego Convention Center, Exhibit Hall BSession Type: Roundtable Session
Abstract
This roundtable session includes four papers addressing missing data issues in measurement from diverse perspectives.
Sub Unit
Chair
Papers
Avoiding Omitted Variable Bias in Exploratory Differential Item Functioning Assessment: A Propensity Score Adjustment Approach - Hsiu-Yi Chao, National Taiwan Ocean University; Jyun-Hong Chen, National Cheng Kung University
Impact of Missing Data on Reliability for Multilevel Data - Zhenqiu Laura Lu, University of Georgia; Minju Hong, University of Georgia - Athens
Investigating the Impact of Imputation Methods on the Non-Uniform DIF Detection in the MIMIC Model - Onur Demirkaya, University of Illinois at Urbana-Champaign; Ge Jiang, University of Illinois at Urbana-Champaign
Rater Connections and the Detection of Bias in Performance Assessment - Stefanie A. Wind, University of Alabama