Replication Data for: "Analyzing the Impact of Events Through Surveys: Formalizing Biases and Introducing the Dual Randomized Survey Design"

Social scientists often use survey data to test how important events impact respondent beliefs, attitudes, and preferences. This paper offers a formal analysis of such survey based approaches to study the impact of time-specific events, including designs that seek to reduce bias using quota sampling, rolling cross-sections, and panels. Our analysis distinguishes major sources of bias and clarifies the comparative strengths and weaknesses of each approach. We then introduce a modified panel design—the dual randomized survey (DRS)—to reduce bias in cases where asking respondents to complete the same survey twice could impact their Wave 2 responses. Our formalization of bias and novel research design improve scholars’ ability to study the causal impact of events through surveys.