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Member rate £492.50
Non-Member rate £985.00
Save £45 Loyalty discount applied automatically*
Save 5% on each additional course booked
*If you attended our Methods School in July/August 2023 or February 2024.
Date: Monday 29 – Friday 2 August 2024
Time: 13:30 – 16:30 CEST
This course provides you with an immersive online learning environment that employs state-of-the-art pedagogical tools. With a maximum of 16 participants, our teaching team can provide personalised attention to each individual, catering to their specific needs. The course is designed for a demanding audience, including researchers, professional analysts, and advanced students.
This course offers an applied introduction to Choice-Based Conjoint, along with hands-on experience in lab sessions and aims to:
3 ECTS credits awarded for engaging fully in class activities.
1 additional ECTS credit awarded for completing a post-course assignment.
Alberto Stefanelli is a FWO PhD Fellow at the Institute for Social and Political Opinion Research at KU Leuven and a Visiting Researcher at the Department of Political Science at Yale University and at the Department of Sociology at New York University
His research interests include radicalism, voting behaviour, democratic erosion, and political methodology.
Methods-wise, he is particularly interested in graphical causal models, standardisation techniques and matching algorithms, text analysis, experimental and semi-experimental design, and machine and deep learning.
The course is structured around eight key topics:
Note: This course will give an applied introduction to conjoint experiments. If you are already familiar with conjoint analysis or you are interested in the broader theory behind conjoint and factorial experiments, this is not the right course for you.
Live classes will be held daily for three hours on Zoom, allowing you to interact with both the instructor and other participants in real-time.
The instructor will also conduct live Q&A sessions and offer designated office hours for one-to-one consultations.
You must have intermediate familiarity with the basis of experimental design, survey experiments and regression analysis. While example datasets and full syntax codes will be provided, intermediate knowledge of R is expected.
You need to know how to:
More advanced knowledge of statistical computing, such as writing functions and loops, is helpful but not essential.
Note: This course will give an applied introduction to conjoint experiments. If you are already familiar with conjoint analysis or you are interested in the broader theory behind conjoint and factorial experiments, this is not the right course for you.
As a participant in this course, you will engage in a variety of learning activities designed to deepen your understanding and mastery of the subject matter. While the cornerstone of your learning experience will be the daily live teaching sessions, which total three hours each day across the five days of the course, your learning commitment extends beyond these sessions.
Upon payment and registration for the course, you will gain access to our Learning Management System (LMS) approximately two weeks before the course start date. Here, you will have access to course materials such as pre-course readings. The time commitment required to familiarise yourself with the content and complete any pre-course tasks is estimated to be approximately 20 hours per week leading up to the start date.
During the course week, you are expected to dedicate approximately two-three hours per day to prepare and work on assignments.
Each course offers the opportunity to be awarded three ECTS credits. Should you wish to earn a 4th credit, you will need to complete a post-course assignment, which will involve approximately 25 hours of work.
This comprehensive approach ensures that you not only attend the live sessions but also engage deeply with the course material, participate actively, and complete assessments to solidify your learning.
This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc.). Registered participants will be informed at the time of change.
By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach these prerequisite items. If in doubt, please contact us before registering.