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dc.contributor.advisorLittle, Todd D.
dc.contributor.advisorPreacher, Kristopher J.
dc.contributor.authorLee, Jaehoon
dc.date.accessioned2009-06-18T20:18:29Z
dc.date.available2009-06-18T20:18:29Z
dc.date.issued2009-01-01
dc.date.submitted2009
dc.identifier.otherhttp://dissertations.umi.com/ku:10315
dc.identifier.urihttp://hdl.handle.net/1808/5253
dc.description.abstractRecently, mean and covariance structure (MACS) confirmatory factor analysis (CFA) has been widely used to detect items with differential item functioning (DIF). Although how we define the scale does not impact overall model fit or tests for whether or not a given level of measurement equivalence holds, different scaling methods can lead to different conclusions when a researcher locates DIF in a scale. This dissertation evaluates the MACS analysis for DIF detection by means of a Monte Carlo simulation. The simulation results indicate that three statistically equivalent scaling methods provide different outcomes of DIF analysis. In addition, Bonferroni-correction improves the accuracy of the analysis, notably when a scale (or an anchor) is contaminated by DIF. Based on the previous and current simulation studies, this dissertation offers practical guidance for researchers who attempt to evaluate measurement equivalence using CFA.
dc.format.extent168 p.
dc.language.isoEN
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectPsychology
dc.subjectPsychometrics
dc.subjectEducation
dc.subjectTests and measurements
dc.subjectBiased anchor
dc.subjectDifferential item functioning
dc.subjectMean and covariance structure analysis
dc.subjectScaling
dc.titleType I error and power of the mean and covariance structure confirmatory factor analysis for differential item functioning detection: Methodological issues and resolutions
dc.typeDissertation
dc.contributor.cmtememberColombo, John
dc.contributor.cmtememberKingston, Neal
dc.contributor.cmtememberSkorupski, William P.
dc.thesis.degreeDisciplinePsychology
dc.thesis.degreeLevelPh.D.
kusw.oastatusna
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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