|June 26-29, 2013||6th Annual Political Networks Workshops & Conference||Bloomington, IN|
Date and Time: Thursday, June 27 (1-5 pm)
Estimating the strength of social influence within social networks is extremely difficult due to selection processes, homophily, and mutual causation. The power of randomization is used by experiments to side-step these analytic challenges in most setting, but social networks pose a special challenge for field experiments. This workshop introduces students to the logic of experimentation, presents three analytic archetypes for conducting experiments in real world social networks, and provides guidance on the analysis. Topics covered will include the Rubin Causal Model and randomization inference.
David Nickerson is an associate professor of political science at the University of Notre Dame. He uses experiments to study how campaigns can best mobilize people to vote, volunteer, and donate.
Workshop examples will use Stata, but all are easily adapted for R.