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Evaluating Performance of Missing Data Imputation Methods in IRT Analyses

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dc.contributor.authorKara, Yusuf
dc.contributor.authorYusuf Kara
dc.contributor.authorHülya Kelecioğlu
dc.contributor.orcid0000-0001-7088-4268
dc.contributor.orcid0000-0003-0691-0630
dc.contributor.orcid0000-0002-0741-9934
dc.date.accessioned2025-11-13T10:04:44Z
dc.date.issued2018-06-04
dc.identifier.doihttps://doi.org/10.21449/ijate.430720
dc.identifier.endpage416
dc.identifier.issn2148-7456
dc.identifier.issue3
dc.identifier.openalexW2804428911
dc.identifier.startpage403
dc.identifier.urihttps://hdl.handle.net/11421/3053
dc.identifier.urihttps://doi.org/10.21449/ijate.430720
dc.identifier.volume5
dc.language.isoen
dc.relation.ispartofInternational Journal of Assessment Tools in Education
dc.rightsopenAccess
dc.subjectImputation (statistics)
dc.subjectMissing data
dc.subjectStatistics
dc.subjectComputer science
dc.subjectRegression
dc.subjectRegression analysis
dc.subjectEconometrics
dc.subjectMathematics
dc.subject.sdg10
dc.subject.sdg16
dc.titleEvaluating Performance of Missing Data Imputation Methods in IRT Analyses
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5055809834

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