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    A Randomization Test for the Detection of Differential Item Functioning

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    Author
    Rockoff, David
    Issue Date
    2018
    Keywords
    DIF
    Differential Item Functioning
    Mantel-Haenszel
    Monte Carlo
    Randomization test
    Rasch
    Advisor
    Kersting, Nicole
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    A test question is said to contain Differential Item Functioning (DIF) if people who have the same ability level but are from different subpopulations have unequal probabilities of answering correctly. Detection of DIF is crucial to maintaining test fairness. Numerous DIF detection methods exist; none are ideal across a wide range of settings. I introduce a randomization test for DIF detection, and compare its performance to that of the Mantel-Haenszel, Logistic Regression and Lasso-based methods under a Rasch model using Monte Carlo simulations.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Statistics
    Degree Grantor
    University of Arizona
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