Post-examination interpretation of objective test data: Monitoring and improving the quality of high–stakes examinations – a commentary on two AMEE Guides

Abstract

As great emphasis is rightly placed upon the importance of assessment to judge the quality of our future healthcare professionals, it is appropriate not only to choose the most appropriate assessment method, but to continually monitor the quality of the tests themselves, in a hope that we may continually improve the process. This article stresses the importance of quality control mechanisms in the exam cycle and briefly outlines some of the key psychometric concepts including reliability measures, factor analysis, generalisability theory and item response theory. The importance of such analyses for the standard setting procedures is emphasised. This article also accompanies two new AMEE Guides in Medical Education (Tavakol M, Dennick R. Post-examination Analysis of Objective Tests: AMEE Guide No. 54 and Tavakol M, Dennick R. 2012. Post examination analysis of objective test data: Monitoring and improving the quality of high stakes examinations: AMEE Guide No. 66) which provide the reader with practical examples of analysis and interpretation, in order to help develop valid and reliable tests.

Notes

1. This short article refers to Post-examination analysis of objective test data: Monitoring and improving the quality of high-stakes examinations: AMEE Guide No. 66. The full version of this guide is published as a web paper in this issue and is available at http://informahealthcare.com/journal/mte