Experimental Methods in Social Sciences

Instructor: Dr. Philip Lergetporer (LMU Munich)



The goal of this workshop is to equip participants with the tools necessary for conducting independent experimental research. The workshop focuses on methodological aspects and consists of three parts. Part one discusses design-related issues which need to be considered before running an experiment. This includes, for instance, choosing an adequate randomization technique or determining optimal sample size through power calculations. Part two focuses on the statistical analysis of experimental data and addresses specificities such as standard error corrections for multiple hypothesis testing. Part three answers practical questions regarding the implementation of experiments, such as how to address non-random attrition or how to minimize experimenter-demand-effects. The workshop relies on practical examples from recent research projects and should provide an overview of various types of experiments in the social sciences (e.g., laboratory experiments, field experiments, or survey experiments). Workshop participants are invited to present their own experimental research ideas. Each presenter will receive detailed feedback through group discussions.


Required literature for preparation:

Angrist, J. D. & J. Pischke, 2009: Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton/NJ: Princeton University Press. Chapter 2: The Experimental Ideal.