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Title:DIMTEST Enhancements and Some Parametric IRT Asymptotics
Author(s):Gao, Furong
Doctoral Committee Chair(s):William Stout
Department / Program:Statistics
Discipline:Statistics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Statistics
Abstract:The joint consistency of item and ability parameter estimation remains a challenging problem in IRT parametric modeling. Although many simulation studies have been conducted on the item and ability parameter estimates obtained by joint maximum likelihood estimation which is implemented in LOGIST (Wingersky, Bartaon, & Lord, 1982) procedure, there is no analytical results about the asymptotic properties of these estimates in literature. A preliminary effort is made to joint consistently estimate the item and ability parameters using a new approach under some regularity conditions. It is shown that when uniformly consistent ability parameter estimates are available and used as the true ability values, consistent item parameter estimates exist in a subsequence of their MLE estimates assuming ability parameters are known.
Issue Date:1997
Type:Text
Language:English
Description:112 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.
URI:http://hdl.handle.net/2142/87416
Other Identifier(s):(MiAaPQ)AAI9812592
Date Available in IDEALS:2015-09-28
Date Deposited:1997


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