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Title:Assessing Unidimensionality of Test Items and Some Asymptotics of Parametric Item Response Theory
Author(s):Froelich, Amy Goodwin
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):Psychology, Psychometrics
Abstract:Using results from He & Shao (2000), a proof of the consistency and asymptotic normality of item parameter estimates obtained from the Marginal Maximum Likelihood Estimation (Bock & Lieberman, 1970) procedure as both the number of examinees and the number of items tends to infinity is presented. The proof depends upon fairly general regularity conditions on the model and on the growth of the number of items relative to the number of examinees.
Issue Date:2000
Type:Text
Language:English
Description:114 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.
URI:http://hdl.handle.net/2142/87420
Other Identifier(s):(MiAaPQ)AAI9989999
Date Available in IDEALS:2015-09-28
Date Deposited:2000


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