A nonnormal look at polychoric correlations: Modeling the change in correlations before and after discretization

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dc.contributor.authorDemirtaş, Hakan
dc.contributor.buuauthorAhmadian, Robab
dc.contributor.buuauthorAtış, Sema
dc.contributor.buuauthorCan, Fatma Ezgi
dc.contributor.buuauthorErcan, İlker
dc.contributor.departmentUludağ Üniversitesi/Tıp Fakültesi/Biyoistatistik Anabilim Bölümü.tr_TR
dc.contributor.orcid0000-0003-1550-639Xtr_TR
dc.contributor.orcid0000-0002-2382-290Xtr_TR
dc.contributor.orcid0000-0002-1953-7735tr_TR
dc.contributor.researcheridAAE-5602-2019tr_TR
dc.contributor.scopusid56689608500tr_TR
dc.contributor.scopusid57185433800tr_TR
dc.contributor.scopusid57185484200tr_TR
dc.contributor.scopusid6603789069tr_TR
dc.date.accessioned2022-12-15T12:32:00Z
dc.date.available2022-12-15T12:32:00Z
dc.date.issued2016-03-08
dc.description.abstractTwo algorithms for establishing a connection between correlations before and after ordinalization under a wide spectrum of nonnormal underlying bivariate distributions are developed by extending the iteratively found normal-based results via the power polynomials. These algorithms are designed to compute the polychoric correlation when the ordinal correlation is specified, and vice versa, along with the distributional properties of latent, continuous variables that are subsequently ordinalized through thresholds dictated by the marginal proportions. The method has broad applicability in the simulation and random number generation world where modeling the relationships between these correlation types is of interest.en_US
dc.identifier.citationDemirtaş, H. vd. (2016). "A nonnormal look at polychoric correlations: Modeling the change in correlations before and after discretization". Computational Statistics, 31(4), 1385-1401.en_US
dc.identifier.endpage1401tr_TR
dc.identifier.issn0943-4062
dc.identifier.issn1613-9658
dc.identifier.issue4tr_TR
dc.identifier.scopus2-s2.0-84961212493tr_TR
dc.identifier.startpage1385tr_TR
dc.identifier.urihttps://doi.org/10.1007/s00180-016-0653-7
dc.identifier.urihttps://link.springer.com/article/10.1007/s00180-016-0653-7
dc.identifier.urihttp://hdl.handle.net/11452/29917
dc.identifier.volume31tr_TR
dc.identifier.wos000385201700008tr_TR
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.collaborationYurt dışıtr_TR
dc.relation.journalComputational Statisticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMathematicsen_US
dc.subjectRandom number generationen_US
dc.subjectSimulationen_US
dc.subjectNonnormalityen_US
dc.subjectThreshold concepten_US
dc.subjectPattern-mixture modelsen_US
dc.subjectIgnorable drop-outen_US
dc.subjectOrdinal dataen_US
dc.subjectMultiple imputationen_US
dc.subjectPower polynomialsen_US
dc.subjectDistributionsen_US
dc.subjectPerformanceen_US
dc.subjectCoefficienten_US
dc.subjectGenerationen_US
dc.subject.scopusMarginal Distribution; Simulation; Normalizing Transformationen_US
dc.subject.wosStatistics & probabilityen_US
dc.titleA nonnormal look at polychoric correlations: Modeling the change in correlations before and after discretizationen_US
dc.typeArticle
dc.wos.quartileQ4en_US

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