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Training: Psychometrics applied to healthcare professions education
March 11 @ 08:00 - March 15 @ 17:00
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Date: March 11- 15 (5 days), 2019, April 20-24 (5 days) 2020
Location: Maastricht University, Maastricht, The Netherlands
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: € 1200,-, including five days training by experts, coffee/tea/drinks during the day, lunch, and a dinner during one of the evenings.
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.’
Draft course programme:
Day 1
Morning: What is Psychometrics? How it can be useful for health professions education? What are its limitations? How to make appropriate use of Psychometrics?Afternoon: Introduction to Classical Test Theory + Exercise: Using CTT to analyze tests and items (Simulated Post-Test Review Committee).
Day 2
Morning: Generalizability Theory (G theory). Afternoon: Exercises: a) using G theory to analyze and improve the reliability OSCEs; b) using G theory to aggregate measures in programmatic assessment.
Day 3
Morning: Exploratory methods (Exploratory factor analysis, Principal component analysis, Principal axis factoring, Exploratory Structural Equation Modelling, Lasso Regularization and Exploratory Graph Analysis). Afternoon: Exercises: Finding latent variables: a) analyze and interpret data from a given dataset; b) analyze and interpret your own data; c) compare results obtained using the different techniques.
Day 4
Morning: Confirmatory methods and Multidimensional Item Response Theory (UIRT/MIRT). Afternoon: Exercises: a) using item response theory to analyze educational tests; b) using IRT to analyze questionnaires and surveys; c) differential item functioning and measurement invariance for cross-cultural assessments and large-scale international assessments; d) combining MIRT and structural equation models; e) comparing CFA and IRT.
Day 5
Morning: Emerging techniques (Computerized adaptive testing, Many-Facets Rasch Model, Measurement invariance, Network psychometrics). Afternoon: Participants’ presentations (optional).