Registration

Registration is now open for EBMA 2026, pre-conference workshops and the conference dinner at Lancaster House Hotel. Pre-conference workshops and the conference dinner are bookable as add-on's once you have selected the conference ticket.

Registration fees

Early bird: NOW EXTENDED TO 5pm 23 October 2026

Standard rate: from 5pm 23 October 2026

Registration closes: 30 November 2026

Category
Early bird

Standard

EBMA Individual or Institutional Member

£315

£355

Non-Member

£350

£395

Student, full-time

£175

£200

Group Booking of 3 or more

10% discount

10% discount

To access the EBMA Member Registration rate you must be an individual member of EBMA or a member of an institute member of EBMA. The Member discount code will be included in the next EBMA President's newsletter. If you did not receive the code, or would like to become a member of EBMA please contact the office.

The student registration rate is for full time, undergraduate students.

Special fee reductions (30% of Non-Member rate) are available for delegates working in Low-Middle Income Countries, according to the World Bank's classifications. Please consult the list of countries here and note that only low-income and low-middle income countries will be considered for the grant. Please contact the office prior to registering.

Registration Includes:

  • Access to all scientific sessions
  • Welcome reception on 1st December
  • Lunch on 2nd and 3rd December
  • Coffee-breaks during the event
  • Identification Badge
  • Digital CPD Certificate

Optional Extras:

  • Pre-conference Workshops (To be announced soon)
  • Conference Dinner (evening of 2nd December)

Pre-Conference Workshops, 1 December

Workshop 1 9:30 - 12:30 £70 registration

Basic Item Response Theory in Practice: From Item Statistics to Better Tests

Speaker: Carlos Collares

Workshop 1 Outline and Learning outcomes

Basic Item Response Theory in Practice: From Item Statistics to Better Tests

Most assessment programmes still rely on classical test theory. It is useful, but its item statistics depend on the particular group of students who sat the test, and a single reliability coefficient summarises precision for the whole score range. Item Response Theory (IRT) addresses both limitations. It places items and students on a common scale, describes how well each item discriminates at different ability levels, and shows where a test measures precisely and where it does not. This makes IRT especially valuable for progress testing, item banking and standard setting, but many assessment professionals find it hard to move from the theory to routine use.

This workshop offers a practical, non-mathematical introduction to IRT for people who work with written assessments in medical education. Starting from familiar classical statistics, we introduce the Rasch/one-parameter and two-parameter logistic models, item characteristic curves, and item and test information functions. Throughout, we emphasise interpretation: what the output means and what decisions it supports.

Format: A [180-minute] interactive workshop that alternates short conceptual introductions with hands-on analysis of an anonymised dataset from a medical knowledge test, using [free software, e.g. R with the mirt package / jamovi]. Participants work in pairs and discuss how the results apply to their own assessment programmes. Participants should bring a laptop; no prior experience with IRT or programming is required.

Learning outcomes. By the end of the workshop, participants will be able to:

  • explain the main differences
  • between classical test theory and IRT, and when each is most useful;
  • interpret item difficulty and
  • discrimination parameters, item characteristic curves and test information
  • functions;
  • use IRT output to identify
  • problematic items and to judge where on the ability scale a test is most
  • and least precise;
  • identify concrete opportunities
  • to apply IRT in their own assessment practice, such as progress testing
  • and item banking.

Workshop 2 14:00- 17:00 £70 registration

Generalizability Theory for Practical OSCE Analysis: How Many Stations and Examiners Do We Really Need?

Speaker: Carlos Collares

Workshop 2 Outline and Learning outcomes

Generalizability Theory for Practical OSCE Analysis: How Many Stations and Examiners Do We Really Need?

OSCE scores are influenced by much more than student competence. Station content, examiner

stringency, simulated patients and parallel circuits all add measurement error. A single reliability coefficient such as Cronbach's alpha cannot separate these sources or show how to reduce them. Generalizability Theory (G-theory) can. It estimates how much each source contributes to score variance. Through decision (D) studies, it also shows how reliability would change if the number of

stations, examiners or circuits were changed. This makes G-theory one of the most useful tools for designing and defending OSCEs, yet it remains underused in practice.

This workshop introduces G-theory through realistic OSCE designs. We cover facets and variance components, crossed and nested designs (for example, examiners nested within stations, and students distributed across parallel circuits), generalizability and dependability coefficients for relative and absolute decisions, and D-studies to optimise OSCE design within practical and budgetary constraints. We also discuss common pitfalls, including unbalanced data and designs that do not match how the OSCE was actually run.

Format: A 180-minute interactive workshop that combines short conceptual segments with hands-on analysis of an anonymised OSCE dataset, using gtheory-app, a free, browser-based Shiny application for G-theory analysis (carloscollares.shinyapps.io/gtheory-app/). The workshop has three parts. The first introduces facets, variance components and OSCE designs. In the second, participants set up and run G-studies for crossed and nested designs and interpret the results. In the third, they run D-studies to compare alternative OSCE configurations and discuss how the findings apply to their own programmes. Participants should bring a laptop; no installation or programming experience is required, and they can continue using the application with their own data after the workshop.  

Learning outcomes. By the end of the workshop, participants will be able to:

  • explain why G-theory offers more
  • insight into OSCE reliability than classical coefficients;
  • identify the facets and the
  • design (crossed or nested) of their own OSCEs;
  • interpret variance components
  • and generalizability and dependability coefficients;
  • use D-studies to make
  • evidence-based decisions about the number of stations, examiners and
  • circuits needed for defensible pass/fail decisions.


Workshop 3 14:00- 17:00 £70 registration

TBC

Speaker: Kevin Eva

Conference Dinner, 2 December 2026

The EBMA 2026 Conference Dinner will take place on the evening of 2nd December at Lancaster House Hotel, a 10 minute walk from the conference venue.

Expect a charming English country hotel, roaring log fires, festive decorations and excellent company.

3 course meal and welcome drink £50


Cancellation policy

Cancellations must be received in writing to the EBMA office by email. The following cancellation fees will be applied:

  • Before 5pm (UK) 1 November 2026: Full refund, minus £45 administrative fee.
  • After 5pm (UK) 1 November 2026: No refund will be given.
  • All refunds will be issued after the conference

Payment Methods

Registration will take place on a secure event booking site, eventbrite. Options to pay by card and/or invoice are available. If you wish to pay by invoice please ensure you provide the billing information, contact details and email for finance departments and a purchase order number if required. We are unable to accept payment by cheque or cash.

Receipts

If you require a receipt please contact the office.

CPD Certificates

A digital CPD certificate will be sent by email, within 30 days of the event ending.