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Challenges and insights in the measurement of clinical reasoning skills: Implications for instructional design and assessment

datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorCollares, Carlos
dc.date.accessioned2026-05-11T14:37:34Z
dc.date.available2026-05-11T14:37:34Z
dc.date.issued2024-06-18
dc.description.abstractDear Editor Among the original contributions in the recent paper from Hornos et al. (2024), the introduction of cognitive diagnostic modelling (CDM) as an alternative to unidimensional item response theory (IRT) for evaluating clinical reasoning skills was a truly innovative step. Unidimensional IRT analysis of the data collected by Hornos et al. (2024) revealed a low percentage of explained variance, echoing a previous concern about its inherent reductionism (Collares, 2023). While IRT is suitable for ranking students and adjusting scores to different difficulty levels, it falls short in providing nuanced insights compared to CDM. CDM’s ability to offer skill-specific feedback and accommodate the multidimensional complexity of clinical reasoning makes it a compelling choice.eng
dc.identifier.doi10.1080/0142159x.2024.2363483
dc.identifier.eissn1466-187X
dc.identifier.issn0142-159X
dc.identifier.urihttp://hdl.handle.net/10400.1/28919
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInforma UK Limited
dc.relation.ispartofMedical Teacher
dc.rights.uriN/A
dc.titleChallenges and insights in the measurement of clinical reasoning skills: Implications for instructional design and assessmenteng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue9
oaire.citation.titleMedical Teacher
oaire.citation.volume46
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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