PhD-course on survey experiments
4 - 6 May 2020, the PhD course ‘Survey experiments: Design and data analysis’ will be held at DIGSSCORE.
The experimental method is gaining ground in various disciplines, including political science, communication science, sociology and economics. The course is designed for PhD students who plan to use survey experiments as a part of their dissertation research. The course will help students design and analyze survey experiments that will launch their careers.
The course will be taught by Michael Tomz, Professor of Political Science at Stanford University, and Endre Tvinnereim, Associate Professor at the Department of Administration and Organisation Theory, University of Bergen. Tomz is an award-winning lecturer and a leading scholar of public opinion and survey experiments. Tvinnereim is research unit coordinator for the Norwegian Citizen Panel and has designed and supervised survey experiments in several countries.
The course will be held before the Bergen-Gothenburg-Barcelona Workshop on Experimental Political Science (May 7th-8th). Course participants are welcome to attend at the BGB workshop.
To apply, submit a cover letter stating why you want to participate, describe your previous experience (if any) with survey experiments and statistical packages, and summarize the status of your PhD project. Include a CV and dissertation abstract (max. 1 page).
Participants taking the course for credit as part of their PhD program will be given priority. If space permits, other participants will be accepted and invited to take the course. Such participants should submit a cover letter and a CV.
Application deadline is March 2nd 2020.
Each participant who successfully completes the course will be granted either 10 ECTS (requires participation in the course, a 5000-word paper, and participation at the Bergen-Gothenburg-Barcelona Workshop) or 7.5 ECTS (requires participation in the course and a 5000-word paper).
Here you find the official course page for the course, called DIGSSCORE900, at the University of Bergen. The program and reading list will be adjusted closer to the course.