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Assessment of examiner leniency and stringency ('hawk-dove effect') in the MRCP(UK) clinical examination (PACES) using multi-facet Rasch modelling.

McManus, IC; Thompson, M; Mollon, J; (2006) Assessment of examiner leniency and stringency ('hawk-dove effect') in the MRCP(UK) clinical examination (PACES) using multi-facet Rasch modelling. BMC Medical Education , 6 , Article 42. 10.1186/1472-6920-6-42. Green open access

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Abstract

A potential problem of clinical examinations is known as the hawk-dove problem, some examiners being more stringent and requiring a higher performance than other examiners who are more lenient. Although the problem has been known qualitatively for at least a century, we know of no previous statistical estimation of the size of the effect in a large-scale, high-stakes examination. Here we use FACETS to carry out a multi-facet Rasch modelling of the paired judgements made by examiners in the clinical examination (PACES) of MRCP(UK), where identical candidates were assessed in identical situations, allowing calculation of examiner stringency.

Type: Article
Title: Assessment of examiner leniency and stringency ('hawk-dove effect') in the MRCP(UK) clinical examination (PACES) using multi-facet Rasch modelling.
Location: England
Identifier: PMCID: PMC1569374
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/1472-6920-6-42
Publisher version: http://dx.doi.org/10.1186/1472-6920-6-42
Language: English
Additional information: © 2006 McManus et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Adult, Age factors, Aged, Clinical competence, Demography, Education, Medical, Graduate, Educational measurement, Faculty, Medical, Female, Great Britain, Humans, Judgment, Male, Medical history taking, Middle aged, Models, Statistical, Observer variation, Physical examination, Probability, Sex factors
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > UCL Medical School
URI: https://discovery.ucl.ac.uk/id/eprint/61729
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