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Advances in Differential Item Functioning (DIF) Detection: Methods, Applications, and Implications (Table 12)
Sun, April 27, 11:40am to 1:10pm MDT (11:40am to 1:10pm MDT), The Colorado Convention Center, Floor: Ballroom Level, Four Seasons Ballroom 1Session Type: Roundtable Session
Abstract
This roundtable session explores recent advancements in Differential Item Functioning (DIF) detection using various psychometric and statistical methods. It will offer a comprehensive view and discussion of recent advancements in DIF detection, from software comparisons to methodological innovations, improving interpretability, and their implications for fairness and accuracy in educational assessments.
Sub Unit
Chair
Papers
Application of Differential Item Functioning (DIF) in the Evaluation of the Rosenberg Self-Esteem Scale - Theode Niyirinda, University of Alabama; Christopher Adah Ocheni, University of Alabama; Daniel O. Oyeniran, University of Alabama
Comparison of WINSTEPS and difR to Detect DIF Using the Mantel-Haenszel Approach - Huan Liu, Riverside Insights; Hyeonjoo J. Oh, Riverside Insights; JongPil Kim, Riverside Insights
Effect of Transferring or Removing DIF (Differential Item Functioning)–Flagged Anchor Items on IRT (Item Response Theory) Equating - Junhee Park, University of Iowa; Jeongmin Ji, University of Iowa
Evaluating Performance of Mantel Test and Generalized Mantel-Haenszel With Model Misspecification in Causal Estimation - Ziying Li, Independent Researcher; Corinne Huggins-Manley, University of Florida; Walter L. Leite, University of Florida; M. David Miller, University of Florida; Nikolay A. Bliznyuk, University of Florida
Using Firth’s Penalized Maximum Likelihood Estimation for Logistic Regression to Detect Polytomous Differential Item Functioning - Yue Xu, University of Florida; Corinne Huggins-Manley, University of Florida; M. David Miller, University of Florida