Computerized Adaptive Testing and Equating Methods With Nonparametric IRT Models
Xu, Xueli
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Permalink
https://hdl.handle.net/2142/87399
Description
Title
Computerized Adaptive Testing and Equating Methods With Nonparametric IRT Models
Author(s)
Xu, Xueli
Issue Date
2004
Doctoral Committee Chair(s)
Douglas, Jeffrey
Department of Study
Statistics
Discipline
Statistics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Statistics
Language
eng
Abstract
The flexible forms of nonparametric IRT models make test equating more challenging. Though linear equating under parametric IRT models is obvious and appropriate, it might not be appropriate for nonparametric models. Two approaches are proposed for test equating and examined through simulation as well as with real data analysis. The simulation studies show that both approaches are able to recover the true equating functions with tolerable error. The real data analysis shows that these two approaches lead to similar equating functions.
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