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Monday 31 July – Friday 4 August 2023
Minimum 2 hours of live teaching per day
13:00 – 15:30 CEST
This course offers an immersive online learning environment that employs state-of-the-art pedagogical tools. With a maximum of 16 participants, our teaching team can provide personalized 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:
4 credits - Engage fully in class activities and complete a post-class 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:
The course is designed to exploit the interactive capabilities of online technology, combining short, pre-recorded lectures, and live group work during daily two hour Zoom sessions. Solutions will be provided and discussed in live sessions in an interactive way to facilitate learning, problem solving, and exchange of ideas. There will be presentations with Q&A sessions and small-group work. You will have access to a number of online pre-course materials for you to work through at your own pace.
Make sure that your R and Python environments work and that you can run a script before coming to class since we will have no time to resolve technical issues. If you have already collected data, bring it along. If not, you’ll get a toy dataset to play with. Be sure to have installed in R the cjoint and cregg packages together with any other package that you use for data management/cleaning/visualization (e.g. dplyr, ggplot, etc).
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.
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.
Each course includes pre-course assignments, including readings and pre-recorded videos, as well as daily live lectures totalling at least three hours. The instructor will conduct live Q&A sessions and offer designated office hours for one-to-one consultations.
Please check your course format before registering.
Live classes will be held daily for three hours on a video meeting platform, allowing you to interact with both the instructor and other participants in real-time. To avoid online fatigue, the course employs a pedagogy that includes small-group work, short and focused tasks, as well as troubleshooting exercises that utilise a variety of online applications to facilitate collaboration and engagement with the course content.
In-person courses will consist of daily three-hour classroom sessions, featuring a range of interactive in-class activities including short lectures, peer feedback, group exercises, and presentations.
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.