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Psychometrics for physicians: everything a clinician needs to know about assessments in medical education

Assessments in medical education, with consequent decisions about performance and competence, have both a profound and far-reaching impact on students and their future careers. Physicians who make decisions about students must be confident that these decisions are based on objective, valid and relia...

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Detalles Bibliográficos
Autores principales: Tavakol, Mohsen, O'Brien, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IJME 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902176/
https://www.ncbi.nlm.nih.gov/pubmed/35462355
http://dx.doi.org/10.5116/ijme.625f.bfb1
Descripción
Sumario:Assessments in medical education, with consequent decisions about performance and competence, have both a profound and far-reaching impact on students and their future careers. Physicians who make decisions about students must be confident that these decisions are based on objective, valid and reliable evidence and are thus fair. An increasing use of psychometrics has aimed to minimise measurement bias as a major threat to fairness in testing. Currently, there is substantial literature on psychometric methods and their applications, ranging from basic to advanced, outlining how assessment providers can improve their exams to make them fairer and minimise the errors attached to assessments. Understanding the mathematical models of some of these methods may be difficult for some assessment providers, and in particular clinicians. This guide requires no prior knowledge of mathematics and describes some of the key methods used to improve and develop assessments; essential for those involved in interpreting assessment results. This article aligns each method to the Standards for educational and psychological testing framework, recognised as the gold standard for testing guidance since the 1960s. This helps the reader develop a deeper understanding of how assessors provide evidence for reliability and validity with consideration to test construction, evaluation, fairness, application, and consequences, and provides a platform to better understand the literature in regards other more complex psychometric concepts that are not specifically covered in this article.