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Assessing The Performance Of Two Procedures For Detecting Differential Item Functioning Within The Multilevel Partial Credit Model, Carol Hanley
Theses and Dissertations--Education Sciences
This is a simulation study that evaluates the performances of two models for the detection of uniform differential item functioning (DIF). Simulated data are generated by a multilevel partial credit model (MLPCM). The purpose of this study was to compare the accuracy of two DIF detection procedures, hierarchical ordinal logistic regression (HOLR) for multilevel data and multilevel generalized Mantel-Haenszel (MGMH: French & Finch, 2013; French, Finch, & Imekus, 2019). Conditions manipulated were the number of participants per cluster (20, 40), number of clusters (50, 100, 200), DIF magnitude (0, .4, .8), and magnitude of intraclass correlation coefficient (.05, .25, .45). …