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Reliability estimation in multidimensional scales: Comparing the bias of six estimators in measures with a bifactor structure

dc.contributor.authorTrizano Hermosilla, Italo
dc.contributor.authorGálvez Nieto, José Luis
dc.contributor.authorAlvarado Izquierdo, Jesús María
dc.contributor.authorSaiz, José L.
dc.contributor.authorSalvo Garrido, Sonia
dc.date.accessioned2025-02-26T11:55:59Z
dc.date.available2025-02-26T11:55:59Z
dc.date.issued2021-06-24
dc.descriptionThe Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2021.508287/full#supplementary-material
dc.description.abstractIn the context of multidimensional structures, with the presence of a common factor and multiple specific or group factors, estimates of reliability require specific estimators. The use of classical procedures such as the alpha coefficient or omega total that ignore structural complexity are not appropriate, since they can lead to strongly biased estimates. Through a simulation study, the bias of six estimators of reliability in multidimensional measures was evaluated and compared. The study is complemented by an empirical illustration that exemplifies the procedure. Results showed that the estimators with the lowest bias in the estimation of the total reliability parameter are omega total, the two versions of greatest lower bound (GLB) and the alpha coefficient, which in turn are also those that produce the highest overestimation of the reliability of the general factor. Nevertheless, the most appropriate estimators, in that they produce less biased estimates of the reliability parameter of the general factor, are omega limit and omega hierarchical.
dc.description.departmentDepto. de Psicobiología y Metodología en Ciencias del Comportamiento
dc.description.facultyFac. de Psicología
dc.description.refereedTRUE
dc.description.sponsorshipFondo Nacional de Desarrollo Científico y Tecnológico (Chile)
dc.description.statuspub
dc.identifier.citationTrizano-Hermosilla I, Gálvez-Nieto JL, Alvarado JM, Saiz JL and Salvo-Garrido S (2021) Reliability Estimation in Multidimensional Scales: Comparing the Bias of Six Estimators in Measures With a Bifactor Structure. Front. Psychol. 12:508287. doi: 10.3389/fpsyg.2021.508287
dc.identifier.doi10.3389/fpsyg.2021.508287
dc.identifier.officialurlhttps://doi.org/10.3389/fpsyg.2021.508287
dc.identifier.relatedurlhttps://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.508287/full
dc.identifier.urihttps://hdl.handle.net/20.500.14352/118327
dc.journal.titleFrontiers in Psychology
dc.language.isoeng
dc.publisherFrontiers
dc.relation.projectID11170522
dc.relation.projectID1190844
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordReliability
dc.subject.keywordMultidimensional
dc.subject.keywordBifactor
dc.subject.keywordMonte – Carlo simulation
dc.subject.keywordMeasurement
dc.subject.ucmPsicología (Psicología)
dc.subject.ucmEstadística matemática (Estadística)
dc.subject.unesco61 Psicología
dc.titleReliability estimation in multidimensional scales: Comparing the bias of six estimators in measures with a bifactor structure
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number12
dspace.entity.typePublication
relation.isAuthorOfPublicationb19a5f6e-1571-404c-bd21-332c59ade169
relation.isAuthorOfPublication.latestForDiscoveryb19a5f6e-1571-404c-bd21-332c59ade169

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