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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.departmentTıp Fakültesi
dc.contributor.departmentBiyoistatistik Ana Bilim Bölümü
dc.contributor.orcid0000-0003-1550-639X
dc.contributor.orcid0000-0002-2382-290X
dc.contributor.orcid0000-0002-1953-7735
dc.contributor.researcheridAAE-5602-2019
dc.contributor.scopusid56689608500
dc.contributor.scopusid57185433800
dc.contributor.scopusid57185484200
dc.contributor.scopusid6603789069
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.
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.
dc.identifier.endpage1401
dc.identifier.issn0943-4062
dc.identifier.issn1613-9658
dc.identifier.issue4
dc.identifier.scopus2-s2.0-84961212493
dc.identifier.startpage1385
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.volume31
dc.identifier.wos000385201700008
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherSpringer
dc.relation.collaborationYurt dışı
dc.relation.journalComputational Statistics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMathematics
dc.subjectRandom number generation
dc.subjectSimulation
dc.subjectNonnormality
dc.subjectThreshold concept
dc.subjectPattern-mixture models
dc.subjectIgnorable drop-out
dc.subjectOrdinal data
dc.subjectMultiple imputation
dc.subjectPower polynomials
dc.subjectDistributions
dc.subjectPerformance
dc.subjectCoefficient
dc.subjectGeneration
dc.subject.scopusMarginal Distribution; Simulation; Normalizing Transformation
dc.subject.wosStatistics & probability
dc.titleA nonnormal look at polychoric correlations: Modeling the change in correlations before and after discretization
dc.typeArticle
dc.wos.quartileQ4
dspace.entity.typePublication
local.contributor.departmentTıp Fakültesi/Biyoistatistik Ana Bilim Bölümü
local.indexed.atScopus
local.indexed.atWOS

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