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Missing Data in Measurement (Table 27)
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
Impact of Missing Data on Reliability for Multilevel Data - Zhenqiu Laura Lu, University of Georgia; Minju Hong, University of Arkansas at Fayetteville
Investigating the Impact of Imputation Methods on Nonuniform Differential Item Functioning Detection in the Multiple-Indicators Multiple-Causes (MIMIC) Model - Onur Demirkaya, Riverside Insights; Ge Jiang, University of Illinois at Urbana-Champaign
Rater Connections and the Detection of Bias in Performance Assessment - Stefanie A. Wind, University of Alabama