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Title:Some Issues in Weak Local Independence in Item Response Theory
Author(s):Habing, Brian Thomas
Doctoral Committee Chair(s):Stout, William F.
Department / Program:Statistics
Discipline:Statistics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Education, Educational Psychology
Abstract:A method of Pashley and Reese (in press) for simulating locally dependent data, whose item pair dependencies relate directly to local dependence assessment procedures is discussed. This method is extended to allow for the simulation of local dependence that varies in magnitude across the examinee ability levels. The parameter that Yen's (1984) Q3 statistic seeks to estimate is examined. The notion of the `best fit' latent trait is defined, and it is shown that an exam with only positive pairwise item dependencies violates the assumptions of a large class of exam models. Finally, theoretical probability is used to rigorously define the basic concepts of IRT, and is then applied to construct conditions under which the converse to a theorem of Reckase and Stout (1995) holds.
Issue Date:1998
Type:Text
Language:English
Description:112 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.
URI:http://hdl.handle.net/2142/87417
Other Identifier(s):(MiAaPQ)AAI9912251
Date Available in IDEALS:2015-09-28
Date Deposited:1998


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