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Commentary to concerns regarding the assessment of clinical reasoning in medical students

datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorCollares, Carlos
dc.contributor.authorPleguezuelos, Eduardo
dc.contributor.authorHornos, Eduardo
dc.date.accessioned2026-05-20T17:06:42Z
dc.date.available2026-05-20T17:06:42Z
dc.date.issued2024-11-06
dc.description.abstractWe thank Supianto [1] for the thoughtful remarks on Hornos et al. [2]. We welcome the opportunity to clarify our methodological choices and findings. We respectfully disagree with the assertion that Cronbach’s alpha and McDonald’s omega are reliability coefficients that should be limited to knowledge-based tests. These internal consistency methods to estimate reliability have broad applications across different types of educational and psychological assessments using multiitem measurement scales. Furthermore, McDonald’s omega offers advantages over Cronbach’s alpha as it accounts for factor loadings [3], making it more suitable for complex constructs like clinical reasoning.eng
dc.description.sponsorship69/2023
dc.identifier.doi10.1080/0142159x.2024.2425027
dc.identifier.eissn1466-187X
dc.identifier.issn0142-159X
dc.identifier.urihttp://hdl.handle.net/10400.1/29016
dc.language.isoeng
dc.peerreviewedyes
dc.publisherTaylor and Francis Group
dc.relation.ispartofMedical Teacher
dc.rights.uriN/A
dc.titleCommentary to concerns regarding the assessment of clinical reasoning in medical studentseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage904
oaire.citation.issue5
oaire.citation.startPage903
oaire.citation.titleMedical Teacher
oaire.citation.volume47
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCollares
person.givenNameCarlos
person.identifier.ciencia-id081D-E544-658E
person.identifier.orcid0000-0003-0914-3430
relation.isAuthorOfPublication7961b10d-6495-41d7-b9a3-5fb549e191c1
relation.isAuthorOfPublication.latestForDiscovery7961b10d-6495-41d7-b9a3-5fb549e191c1

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