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Differential Item Functioning and Measurement Invariance
Sat, April 23, 4:15 to 5:45pm PDT (4:15 to 5:45pm PDT), Division Virtual Rooms, Division D - Section 1: Educational Measurement, Psychometrics, and Assessment Virtual Paper Session RoomSession Type: Paper Session
Abstract
Differential item functioning(DIF) and measurement invariance are key to the fairness of testing. This session brings together methodological advances in DIF and measurement invariance detection in the presence of multiple groups, large model sizes and complex data types.
Sub Unit
Chair
Papers
Differential Item Functioning Detection Procedures for Data Fitted to the Multidimensional Graded Response Model - John Phillip Walker, Illuminate Education; Louis Rocconi, University of Tennessee
Differential Item Functioning Detection Using Data Mining Techniques: Identifying Additional Sources of Unfairness in Educational Measurement - Meng-Ting Lo, National Yang Ming Chiao Tung University
Comparing Two Multigroup Differential Item Functioning Methods in Standardized Assessments - Dandan Chen, Pearson; Jinming Zhang, University of Illinois at Urbana-Champaign
Measurement Invariance Testing via the Alignment Method: Intersectional Grouping and Multiple Cohorts - Gregory J. Palardy, University of California - Riverside; Yichi Zhang, University of Southern California; Hok Chio Mark Lai, University of Southern California
The Impact of Model Size on the Sensitivity of Fit Measures in Measurement Invariance Testing - Chunhua Cao, University of Alabama; Xinya Liang, University of Arkansas