Data Quality in Online Surveys: Design and Diagnostics

This course will be offered via Zoom only.

Online surveys now represent a large segment of the research on public attitudes and behaviors. There is widespread recognition that online surveys can be plagued by data quality issues, but there is considerable variation in the specific metrics of relevance depending on the particular online design. In this workshop we will cover metrics for evaluating common data quality issues and strategies for maximizing data quality in a variety of online survey designs, including convenience samples, nonprobability samples with quotas, and probability-based online panels.

Instructors: Sunshine Hillygus and Jesse Lopez

Instructors Bio:
Sunshine Hillygus is a professor of Political Science at Duke University. She has published widely on the topics of American political behavior, campaigns and elections, survey methods, public opinion, and information technology and politics. She is co-author of Making Young Voters: Converting Civic Attitudes into Civic Action (Cambridge University Press, 2020), The Persuadable Voter: Wedge Issues in Political Campaigns (Princeton University Press, 2008) and The Hard Count: The Social and Political Challenges of the 2000 Census (Russell Sage Foundation, 2006). She is director of the Duke Initiative on Survey Methodology (https://dism.duke.edu/) and co-director of the Polarization Lab (https://www.polarizationlab.com/).

Jesse Lopez is a Ph.D. Candidate at Duke University in the Department of Political Science, and a National Science Foundation Graduate Research Fellow. His research focuses on American political behavior, race and ethnic politics, and survey methodology.

This course will count as 3.0 CSS Short Course credit hours.

Registration Fees:
– CSS Students – $30
– UNC-CH Students – $40
– UNC-CH Faculty/Staff/Postdoc/Non-UNC – $60