Some Issues in Weak Local Independence in Item Response Theory
Habing, Brian Thomas
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/87417
Description
Title
Some Issues in Weak Local Independence in Item Response Theory
Author(s)
Habing, Brian Thomas
Issue Date
1998
Doctoral Committee Chair(s)
Stout, William F.
Department of Study
Statistics
Discipline
Statistics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Education, Educational Psychology
Language
eng
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.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.