File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: MIMIC approach to assessing differential item functioning with control of extreme response style

TitleMIMIC approach to assessing differential item functioning with control of extreme response style
Authors
KeywordsExtreme response style
Multiple indicators multiple causes
Differential item functioning
Measurement invariance
Issue Date2020
PublisherSpringer Verlag, co-published with Psychonomic Society. The Journal's web site is located at http://brm.psychonomic-journals.org/
Citation
Behavior Research Methods, 2020, v. 52, p. 23-35 How to Cite?
AbstractLikert or rating scales may elicit an extreme response style (ERS), which means that responses to scales do not reflect the ability that is meant to be measured. Research has shown that the presence of ERS could lead to biased scores and thus influence the accuracy of differential item functioning (DIF) detection. In this study, a new method under the multiple-indicators multiple-causes (MIMIC) framework is proposed as a means to eliminate the impact of ERS in DIF detection. The findings from a series of simulations showed that a difference in ERS between groups caused inflated false-positive rates and deflated true-positive rates in DIF detection when ERS was not taken into account. The modified MIMIC model, as compared to conventional MIMIC, logistic discriminant function analysis, ordinal logistic regression, and their extensions, could control false-positive rates across situations and yielded trustworthy true-positive rates. An empirical example from a study of Chinese marital resilience was analyzed to demonstrate the proposed model.
Persistent Identifierhttp://hdl.handle.net/10722/273008
ISSN
2019 Impact Factor: 4.425
2015 SCImago Journal Rankings: 2.235

 

DC FieldValueLanguage
dc.contributor.authorJin, KY-
dc.contributor.authorChen, HF-
dc.date.accessioned2019-08-06T09:20:49Z-
dc.date.available2019-08-06T09:20:49Z-
dc.date.issued2020-
dc.identifier.citationBehavior Research Methods, 2020, v. 52, p. 23-35-
dc.identifier.issn1554-351X-
dc.identifier.urihttp://hdl.handle.net/10722/273008-
dc.description.abstractLikert or rating scales may elicit an extreme response style (ERS), which means that responses to scales do not reflect the ability that is meant to be measured. Research has shown that the presence of ERS could lead to biased scores and thus influence the accuracy of differential item functioning (DIF) detection. In this study, a new method under the multiple-indicators multiple-causes (MIMIC) framework is proposed as a means to eliminate the impact of ERS in DIF detection. The findings from a series of simulations showed that a difference in ERS between groups caused inflated false-positive rates and deflated true-positive rates in DIF detection when ERS was not taken into account. The modified MIMIC model, as compared to conventional MIMIC, logistic discriminant function analysis, ordinal logistic regression, and their extensions, could control false-positive rates across situations and yielded trustworthy true-positive rates. An empirical example from a study of Chinese marital resilience was analyzed to demonstrate the proposed model.-
dc.languageeng-
dc.publisherSpringer Verlag, co-published with Psychonomic Society. The Journal's web site is located at http://brm.psychonomic-journals.org/-
dc.relation.ispartofBehavior Research Methods-
dc.rightsThis is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: http://dx.doi.org/[insert DOI]-
dc.subjectExtreme response style-
dc.subjectMultiple indicators multiple causes-
dc.subjectDifferential item functioning-
dc.subjectMeasurement invariance-
dc.titleMIMIC approach to assessing differential item functioning with control of extreme response style-
dc.typeArticle-
dc.identifier.emailJin, KY: kyjin@hku.hk-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3758/s13428-019-01198-1-
dc.identifier.scopuseid_2-s2.0-85060995459-
dc.identifier.hkuros300788-
dc.identifier.volume52-
dc.identifier.spage23-
dc.identifier.epage35-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats