When Polls Disagree: How Competitive Results and Methodological Quality Shape Partisan Perceptions of Polls and Electoral Predictions
with Kuru, O. & Traugott, M.W. (2020) International Journal of Public Opinion Research 32(3) 586-603. https://doi.org/10.1093/ijpor/edz035
Social Media as an Alternative to Surveys of Opinions About the Economy
with Conrad, F.G., Gagnon-Bartsch, J.A., Ferg, R.A., Schober, M.F., & Hou, E. (2019). Social Science Computer […]
Investigating harmful and helpful effects of watching season 2 of 13 Reasons Why: Results of a two-wave U.S. panel survey
with Arendt, F., Scherr, S., Jamieson, P.E., & Romer, D. (2019). Social Science & Medicine, 232. […]
Who’s Tweeting About the President? What Big Survey Data Can Tell Us About Digital Traces
with McClain, C.A., Newport, F., & Marken, S. (2019). Social Science Computer Review. https://doi.org/10.1177/0894439318822007
Quantitative Methods Across the Social Sciences (Comm 840: ’12-’18)
This graduate-level course takes a broad look at quantitative data collection and analysis techniques used across […]
Debating Politics and Science (version 1: ’11-’18)
Scientific issues have often formed the basis for political debates. But translating science into public policy […]
Why Don’t Tweets Consistently Track Elections? Lessons from Linking Twitter and Survey Data Streams
with Dailey, J. (2018). In Stroud, N.J. & McGregor, S. (eds) Digital Discussions: How Big Data Informs Political […]
Motivations for Participation in an Online Social Media Community for Diabetes
with Gebremariam, A., Lewis, D., Nordgren, W., Wedding, J., Garrity, A., Hirschfeld, E., & Lee, J.M. […]
Linking Knowledge Networks Web Panel Data with External Data
In: Vannette D., Krosnick J. (eds) The Palgrave Handbook of Survey Research. 607-619. Palgrave Macmillan.