Microcredential komex Survey Experiments
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This five-day in-person course introduces students to conjoint and vignette survey experiments, enabling them to conduct their own survey experimental research including design, implementation, and analysis.
What Is This Course About?
Survey experiments have become central in the social science methods toolbox, promising the dual benefit of an experimental design (for causal inference) on population-representative samples (for external validity). This five-day in-person course introduces students to conjoint and vignette survey experiments, outlining the basic logic, summarizing current topical debates on promises and pitfalls, and giving hands-on advice on design, implementation, and analysis in applied work. We encourage students to bring their own conceptual ideas for a survey-experimental research question that they want to develop further during the course.
Learning Goals
Students understand the basics of conjoint and vignette survey experimental design, implementation and analysis.
- Design: Students are able to set up and evaluate a conjoint/vignette survey-experimental research project, including ethical implications, preregistration, and power analysis.
- Implementation: Students learn on the dos and don'ts of conjoint/vignette survey-experimental implementation in applied practice.
- Analysis: Students are able to analyze, visualize and interpret conjoint/vignette survey-experimental data.
Assignments for the Course
- Attendance: participant has demonstrably attended 80% of all course activities
- Formative assignments: Exercises regarding design, implementation and analysis (not graded and typically delivered during the course)
- Final written assignment: Bigger take-home assignment that will receive feedback. No grades are provided other than pass or fail.
Schedule
- 09.00-10.30 – Course: lecture
- 10.30-11.00 – Break
- 11.00-12.30 – Course: lab
- 12.30-13.30 – Lunch break
- 13.30-14.30 – Course: supervised group work
- 14.45-15.45 – Office hour
Recommended Readings for the Course
- Mutz, D. C. (2011). Population-based survey experiments. Princeton University Press. Chap. 4, 6, 7.
- Bansak, K., Hainmueller, J., Hopkins, D., & Yamamoto, T. (2021). Conjoint Survey Experiments. In J. Druckman & D. Green (Eds.), Advances in Experimental Political Science (pp. 19-41). Cambridge: Cambridge University Press.
- Hainmueller, J., & Hopkins, D. J. (2015). The hidden American immigration consensus: A conjoint analysis of attitudes toward immigrants. American journal of political science, 59(3), 529-548.
Who Is Your Instructor?
Franziska Quoß is a PostDoc in the National Studies Team of GESIS. In her work as survey data expert, she focuses on the design and implementation of the ALLBUS, with a focus on combining surveys with geospatial data. She conducted her doctorate at ETH Zurich where she was a project coordinator of the Swiss Environmental Panel. Beyond survey methods, her research interests are in the field of environmental politics.
Web: https://franziskaquoss.owlstown.net
bluesky: @phanxi.bsky.social
Lukas Rudolph is Assistant Professor for Political Behavior at the Center for Data and
Methods at the Department of Politics and Public Administration of the University of Konstanz. He has a strong interest in questions of political methodology, especially design-based inference with observational data and general population survey experiments, with substantial experience in gathering survey data and running conjoint and vignette survey experiments (e.g., within the Swiss Environmental Panel). Substantively, he has a specific interest in environmental politics, preference formation, voting behavior and electoral institutions.
Web: https://www.lukas-rudolph.com
X: @LukRudolph
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