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    Precision-based Item Selection for Exposure Control in Computerized Adaptive Testing

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    Carroll_ku_0099D_15702_DATA_1.pdf (1.908Mb)
    Issue Date
    2017-12-31
    Author
    Carroll, Ian Andrew
    Publisher
    University of Kansas
    Format
    129 pages
    Type
    Dissertation
    Degree Level
    Ph.D.
    Discipline
    Psychology
    Rights
    Copyright held by the author.
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    Abstract
    Item exposure control is, relative to adaptive testing, a nascent concept that has emerged only in the last two to three decades on an academic basis as a practical issue in high-stakes computerized adaptive tests. This study aims to implement a new strategy in item exposure control by incorporating the standard error of the ability estimate into the item selection process. A new method, which is a simple modification of an existing and widely implemented method, is evaluated with respect to quality of ability estimation, control of item exposure, and vulnerability to actions to compromise the validity of a test. The new method is compared to existing methods using statistical simulation. Results suggest that the new method performs adequately in all outcomes and across simulation conditions. The study concludes with a discussion of the potential implications of the findings, as well as promising future avenues of research.
    URI
    http://hdl.handle.net/1808/27021
    Collections
    • Psychology Dissertations and Theses [466]
    • Dissertations [4321]

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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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