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Training: Psychometrics applied to healthcare professions education

13 December 2020 @ 08:00 - 14 December 2020 @ 17:00


Training postponed to 2021! Due to the Novel Coronavirus Disease 2019 (COVID-19) we are forced to postpone this training to 2021. When we are able to come together in person, we will publish new dates on this page.


Date: December 13-14 (2 days), 2020 –> POSTPONED TO 2021

Location: Imperial College, London, United Kingdom

Course leaders: Dr. Carlos F. Collares & Prof. dr. Cees van der Vleuten

Target group: Beginners and intermediate level on psychometrics


Objective: To help medical teachers and other (healthcare) professionals interested in the field of psychometrics to understand the concepts and apply psychometric techniques in their own settings

Psychometric properties such as reliability and validity are essential components in the utility of assessment in medical education. Many medical teachers are interested in knowing more about psychometrics and how to apply psychometric analysis in their institutions. At the same time, it might be difficult for them to find the opportunity of having a course where they can learn not only the theoretical concepts of Psychometrics, but also their strengths and limitations. Furthermore, learning how to do the psychometric analyses might be a challenging task for non-psychometricians. For those reasons, EBMA now offers the new course on “Psychometrics Applied to Medical Education”, destined to non-psychometricians who wish to learn the theory and the practice of psychometrics and how it can be used in the field.

Topics that will be covered during the training:

What is psychometrics?                                        Exploratory factor analysis

Validity                                                                     Principal component analysis

Reliability                                                                 Confirmatory factor analysis

Classical Test Theory                                             Structural equation modeling

Generalizability Theory                                         Measurement invariance

Item Response Theory                                          Computerized adaptive testing

Many-facet Rasch model                                      Network psychometrics


Price: €560,-, including 2 days training by experts and lunch + coffee/tea/drinks during both days


Terms and conditions

Testimonial – Training participant 2017

Dr. Rachmad Swarwo Bekti, Faculty of Medicine Universitas Brawijaya, Indonesia

‘I recommend to everybody who is interested in psychometric application in medical education to join the training, especially those who still knew nothing on this subject. I learned in practice of using RStudio to do essentials psychometry analysis (promptly in IRT & EFA) and practicing G-theory analysis by using most affordable software. This training has also made me confident enough to provide interpretation of any assessment result.  The introduction section and practical sessions would shift the participant from novice to advance beginner status.’

Course programme: 

Sunday, 13 December 2020

09.00   Introduction

09:30  Classical Test Theory

10:30  Break

11:00  Reviewing a test with classical test theory parameters

12:00  Lunch

13:00  Generalizability Theory

15:00  Break

15:30  Discussion of papers using generalizability theory

17:00  End of day 1


Monday, 14 December 2020

09:00  Factor analysis

10:30  Break

11:00  Item response theory

12:30  Lunch

13:30  Discussion of papers using item response theory and factor analysis

15:00  Break

15:30  Demonstrations on how to conduct a psychometric analysis using classical test theory, generalizability theory and item-response theory

16:45  Final discussion and evaluation

17:00  End of day 2

Travel and accommodation (to be announced)


13 December 2020 @ 08:00
14 December 2020 @ 17:00


European Board of Medical Assessors (EBMA)
+31 43 38 85852


Imperial College, London, UK
South Kensington, Londen SW7 2AZ, Verenigd Koninkrijk
London, United Kingdom
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