KUKU

KU ScholarWorks

  • myKU
  • Email
  • Enroll & Pay
  • KU Directory
    • Login
    View Item 
    •   KU ScholarWorks
    • Dissertations and Theses
    • Dissertations
    • View Item
    •   KU ScholarWorks
    • Dissertations and Theses
    • Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Study of Bayesian Estimation and Comparison of Response Time Models in Item Response Theory

    Thumbnail
    View/Open
    Suh_ku_0099D_10821_DATA_1.pdf (1.663Mb)
    Issue Date
    2010-04-26
    Author
    Suh, Hongwook
    Publisher
    University of Kansas
    Format
    139 pages
    Type
    Dissertation
    Degree Level
    Ph.D.
    Discipline
    Psychology & Research in Education
    Rights
    This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
    Metadata
    Show full item record
    Abstract
    Response time has been regarded as an important source for investigating the relationship between human performance and response speed. It is important to examine the relationship between response time and item characteristics, especially in the perspective of the relationship between response time and various factors that affect examinee's responses. The purpose of this study was to examine different scoring models using response time data in conjunction with item response models. In this study distinctive response time models incorporated in IRT were compared, and the relationship between item characteristics and examinee ability as well as response time were examined using real and simulated data. Bayesian estimation using Markov Chain Monte Carlo (MCMC) methods for Thissen's (1983) lognormal response time model, Wang and Hanson's (2005) 4PL RT model, and van der Linden's (2007) hierarchical framework were applied to the investigation of response time on real data. Overall, van der Linden's (2007) hierarchical framework showed the most reasonable outcomes from the real data analysis when it was compared with the 4PL RT and Thissen's models. Compared with Wang and Hanson's (2005) 4PL RT model in the simulated data analysis, the hierarchical framework also showed better results as follows: (1) better recoveries in item and examinee parameter, (2) reasonable explanations in delineating relationships between response time and other related parameters in the model. There were no clear relationships among speed-related parameters across the models when the relationships between the response time-related parameters were investigated across the response time models. This was due to the different definitions and different parameterization procedures of the speed-related parameters based on the response time model.
    URI
    http://hdl.handle.net/1808/6788
    Collections
    • Dissertations [4473]
    • Education Dissertations and Theses [1068]

    Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.


    We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.


    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
     

     

    Browse

    All of KU ScholarWorksCommunities & CollectionsThis Collection

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    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
     

     

    The University of Kansas
      Contact KU ScholarWorks
    Lawrence, KS | Maps
     
    • Academics
    • Admission
    • Alumni
    • Athletics
    • Campuses
    • Giving
    • Jobs

    The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression and genetic information in the University’s programs and activities. The following person has been designated to handle inquiries regarding the non-discrimination policies: Director of the Office of Institutional Opportunity and Access, IOA@ku.edu, 1246 W. Campus Road, Room 153A, Lawrence, KS, 66045, (785)864-6414, 711 TTY.

     Contact KU
    Lawrence, KS | Maps