Linked Life Data

12023558

Source:http://linkedlifedata.com/resource/pubmed/id/12023558

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2002-5-22
pubmed:abstractText
Conventional two-group DIF analysis for dichotomous items is extended to factorial DIF analysis for polytomous items where multiple grouping factors with multiple groups in each are jointly analyzed. By adopting the formulation of general linear models, item parameters across all possible groups are treated as a dependent variable and the grouping factors as independent variables. These item parameters are then reparameterized as a set of grand item parameters and sets of DIF parameters representing main and interaction effects of the factors on the items. Results of simulation studies show that the parameters of the proposed modeling could be satisfactorily recovered. A real data set of 10 polytomous items and 1924 subjects was analyzed. Applications and implications of the proposed modeling are addressed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1529-7713
pubmed:author
pubmed:issnType
Print
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
63-82
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Modeling effects of differential item functioning in polytomous items.
pubmed:affiliation
Department of Psychology, National Chung Cheng University, Chia-Yi 621, Taiwan. psywcw@ccunix.ccu.edu.tw
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't