A Critical View on the NEAT Equating Design: Statistical Modeling and Identifiability Problems

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dc.catalogadorjca
dc.contributor.authorSan Martin GutiƩrrez, Ernesto
dc.contributor.authorGonzalez Burgos, Jorge
dc.date.accessioned2023-12-20T13:35:59Z
dc.date.available2023-12-20T13:35:59Z
dc.date.issued2022
dc.description.abstractThe nonequivalent groups with anchor test (NEAT) design is widely used in test equating. Under this design, two groups of examinees are administered different test forms with each test form containing a subset of common items. Because test takers from different groups are assigned only one test form, missing score data emerge by design rendering some of the score distributions unavailable. The partially observed score data formally lead to an identifiability problem, which has not been recognized as such in the equating literature and has been considered from different perspectives, all of them making different assumptions in order to estimate the unidentified score distributions. In this article, we formally specify the statistical model underlying the NEAT design and unveil the lack of identifiability of the parameters of interest that compose the equating transformation. We use the theory of partial identification to show alternatives to traditional practices that have been proposed to identify the score distributions when conducting equating under the NEAT design.
dc.description.funderFondo Nacional de Desarrollo Cientifico y Tecnologico
dc.fechaingreso.objetodigital2023-12-20
dc.fuente.origenORCID
dc.identifier.doi10.3102/10769986221090609
dc.identifier.eissn1935-1054
dc.identifier.issn1076-9986
dc.identifier.urihttps://doi.org/10.3102/10769986221090609
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/75551
dc.identifier.wosidWOS:000789422800001
dc.information.autorucFacultad de MatemƔticas; San Martin GutiƩrrez, Ernesto; 0000-0001-9812-4746; 1001052
dc.information.autorucFacultad de MatemƔticas; Gonzalez Burgos, Jorge; 0000-0003-0415-3795; 15102
dc.issue.numero4
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final437
dc.pagina.inicio406
dc.publisherSAGE PUBLICATIONS INC
dc.revistaJournal of Educational and Behavioral Statistics
dc.rightsacceso abierto
dc.subjectStatistical models
dc.subjectStrong ignorability
dc.subjectPartial identifiability
dc.subject.ddc510
dc.subject.deweyMatemƔtica fƭsica y quƭmicaes_ES
dc.subject.ods04 Quality Education
dc.subject.odspa04 EducaciĆ³n y calidad
dc.titleA Critical View on the NEAT Equating Design: Statistical Modeling and Identifiability Problems
dc.typeartĆ­culo
dc.volumen47
sipa.codpersvinculados1001052
sipa.codpersvinculados15102
sipa.trazabilidadORCID;2023-12-18
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