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publications
Consumer Demand for Cynical and Negative News Frames
Published in International Journal of Press/Politics, 2014
Using an inventive survey-experiment, we show that there is consumer demand for negative and horse-race news frames. These results run contrary to the expectation that these frames are the byproduct of newsroom norms.
At the nexus of observational and experimental research: Theory, specification, and analysis of experiments with heterogeneous treatment effects.
Published in Political Behavior, 2017
This paper discusses theoretical and statistical issues that can arise in testing hypotheses regarding heterogeneous treatment effects, and provide practical advice for researchers to avoid potential sources of bias.
Knock out Blows or the Status Quo? Momentum in the 2016 Primaries
Published in Journal of Politics, 2019
Leveraging a rolling cross-section of more than 325,000 interviews of US presidential primary voters, we show that there is little evidence for popular conceptions of electoral “momentum”: where early wins and losses by candidates have an outsized impact on later voter opinion.
Get Information or Get in Formation? Effects of High Information Environments on the Incumbency Effect and Partisan Voting
Published in British Journal of Political Science, 2020
Merging together data on the roll-out of broadband, legislative elections, candidate characteristics, and individual voters, I show that voters in high-information environments are less likely to make voting decisions for members of Congress that reward good behavior or punish bad behavior. Voters under these conditions cast more straight tickets, produce a smaller incumbency advantage, and are unresponsive to changes in their legislator`s party-line voting.
The Effects of High Information Environments on Legislative Behavior
Published in Legislative Studies Quarterly, 2020
I leverage the roll-out of broadband internet and the 2002 Congressional redistricting to show that legislative behavior becomes more nationalized in high-information environments. Legislators redistricted to an area with more broadband connectivity act more in line with their parties, the President, and aligned interest groups.
Partisan Pandemic: How Partisanship and Public Health Concerns Affect Individuals’ Social Distancing During COVID-19
Published in Science Advances, 2020
Analyzing a total of over 1 million responses collected daily in the spring and summer of 2020 reveals not only that partisanship is more important than public health concerns for explaining individuals’ social distancing during the COVID-19 pandemic, but also that the effect of partisanship has grown over time – especially among Republicans.
Reluctant Republicans? Partisan Non-Response and the Accuracy of 2020 Presidential Pre-Election Polls
Published in Public Opinion Quarterly, 2022
Using the registration-based samples and disposition codes of state level exit polls conducted by the National Election Pool in 12 states we show systematic non-response by Republicans that was a significant contributor to the bias in pre-election polls.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
PSCI1800: Intro to Data Science
Undergraduate course, University of Pennsylvania, Program on Opinion Research and Election Studies, 2024
Understanding and interpreting large, quantitative data sets is increasingly central in social science and the business world. Whether one seeks to understand political communication, international trade, inter-group conflict, or a host of other issues, the availability of large quantities of digital data has revolutionized how questions are asked and answered. The ability to quickly and accurately find, collect, manage, and analyze data is now a fundamental skill for quantitative researchers. The answers to a range of important questions lie in publicly available data sets, whether they are election returns, survey results, journalists’ dispatches, or a range of other data types.
PSCI1801: Intro to Inferential Statistics
Undergraduate course, University of Pennsylvania, Program on Opinion Research and Election Studies, 2024
The first step of many data science sequences is to learn a great deal about how to work with individual data sets: cleaning, tidying, merging, describing and visualizing data. These are crucial skills in data analytics, but describing a data set is not our ultimate goal. The ultimate goal of data science is to make inferences about the world based on the small sample of data that we have.
PSCI3802: Political Polling
Undergraduate course, University of Pennsylvania, Program on Opinion Research and Election Studies, 2025
Details to come.