RUcore: Rutgers University Community Repository
Lord's Wald test for detecting DIF in multidimensional IRT models
Descriptive
TitleInfo
Title
Lord's Wald test for detecting DIF in multidimensional IRT models
SubTitle
a comparison of two estimation approaches
Name
(type = personal)
NamePart
(type = family)
Lee
NamePart
(type = given)
Soo Youn
NamePart
(type = date)
1974-
DisplayForm
Soo Youn Lee
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Suh
NamePart
(type = given)
Youngsuk
DisplayForm
Youngsuk Suh
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
de la Torre
NamePart
(type = given)
Jimmy
DisplayForm
Jimmy de la Torre
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Chiu
NamePart
(type = given)
Chia-Yi
DisplayForm
Chia-Yi Chiu
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Bulut
NamePart
(type = given)
Okan
DisplayForm
Okan Bulut
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
outside member
Name
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm
(authority = RULIB)
school
TypeOfResource
Text
Genre
(authority = marcgt)
theses
OriginInfo
DateCreated
(qualifier = exact)
2015
DateOther
(qualifier = exact);
(type = degree)
2015-05
CopyrightDate
(encoding = w3cdtf);
(qualifier = exact)
2015
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Lord’s Wald test for differential item functioning (DIF) has not been extensively studied particularly in the context of multidimensional IRT (MIRT) framework. Lord’s Wald test was implemented using two estimation approaches in the MIRT framework: Marginal maximum likelihood (MML) estimation based on expectation maximization (EM) algorithm and the Bayesian Markov chain Monte Carlo (MCMC) estimation based on Metropolis-Hastings algorithm. This study investigated the recovery of item parameters, the Type I error, and the power of Lord’s Wald tests obtained from the two estimation approaches under various simulation conditions, including DIF type differences, DIF magnitude differences, test length differences, and different combinations of sample sizes. Item responses were generated under multidimensional two-parameter logistic and three-parameter logistic models. Specific concerns for designing DIF detection conditions in MIRT framework were outlined based on the literature review on unidimensional and multidimensional DIF methods. The relative performances of the two estimation methods compared and summarized under the simulation conditions considered in this study. Furthermore, English usage data were used to illustrate the use of Lord’s Wald test with the two estimation approaches. Finally, the summary and implications of the results, the limitations of the present study, and directions for further studies were discussed.
Subject
(authority = RUETD)
Topic
Education
Subject
(authority = ETD-LCSH)
Topic
Estimation theory
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_6367
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xv, 151 p. : ill.)
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Soo Youn Lee
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
(type = local)
rucore19991600001
Location
PhysicalLocation
(authority = marcorg);
(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3JH3P13
Genre
(authority = ExL-Esploro)
ETD doctoral
Back to the top
Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Lee
GivenName
Soo Youn
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2015-04-14 13:47:09
AssociatedEntity
Name
Soo Youn Lee
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2015-05-31
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = end)
2015-11-30
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after November 30th, 2015.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top
Technical
RULTechMD
(ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem
(VERSION = 5.1)
windows xp
Back to the top
Statistical Profile