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31 to 40 of 150 Results
Apr 8, 2026 - ISPS Data Archive
Scott Bokemper; Maria Cucciniello; Tiziano Rotesi; Paolo Pin; Amyn Malik; Kathryn Willebrand; Elliott Paintsil; Saad Omer; Gregory Huber; Alessia Melegaro, 2022, "Experimental Evidence That Changing Beliefs About Mask Efficacy and Social Norms Increase Mask Wearing for COVID-19 Risk Reduction: Results From the United States and Italy", https://doi.org/10.60600/YU/EPR6EW, Yale Dataverse, V2
In the absence of widespread vaccination for COVID-19, governments and public health officials have advocated for the public to wear masks during the pandemic. The decision to wear a mask in public is likely affected by both beliefs about its efficacy and the prevalence of the behavior. Greater mask use in the community may encourage others to foll...
Apr 8, 2026 - ISPS Data Archive
Lilla Orr; Gregory Huber, 2022, "Measuring Misperceptions: Limits of Party-Specific Stereotype Reports", https://doi.org/10.60600/YU/STJQKJ, Yale Dataverse, V2
Prior research has reported that Americans hold biased perceptions about the composition of US parties. Survey respondents vastly overestimate the frequency with which partisans belong to other social groups stereotypically associated with their party. We argue that when perceptions of Democrats, Republicans, and members of the American public are...
Apr 8, 2026 - ISPS Data Archive
Matthew H. Graham; Gregory Huber; Neil Malhotra; Cecilia Hyunjung Mo, 2023, "Irrelevant Events and Voting Behavior: Replications Using Principles from Open Science", https://doi.org/10.60600/YU/1K9F4T, Yale Dataverse, V2
How well do voters hold politicians accountable? Although a longstanding research tradition claims that elections are effective tools for the sanctioning and selection of leaders, a more-recent literature argues that voters often reward and punish incumbents for “irrelevant events.” The empirical literature on this topic is characterized by conflic...
Apr 8, 2026 - ISPS Data Archive
Kyle Peyton; Gregory Huber; Alexander Coppock, 2022, "The Generalizability of Online Experiments Conducted During the COVID-19 Pandemic", https://doi.org/10.60600/YU/JTINWB, Yale Dataverse, V2
The COVID-19 pandemic imposed new constraints on empirical research, and online data collection by social scientists increased. Generalizing from experiments conducted during this period of persistent crisis may be challenging due to changes in how participants respond to treatments or the composition of online samples. We investigate the generaliz...
Apr 8, 2026 - ISPS Data Archive
Matthew H. Graham; Alexander Coppock, 2022, "Asking About Attitude Change", https://doi.org/10.60600/YU/2ADPVK, Yale Dataverse, V2
Surveys often ask respondents how information or events changed their attitudes. Does [information X] make you more or less supportive of [policy Y]? Does [scandal X] make you more or less likely to vote for [politician Y]? We show that this type of question (the change format) exhibits poor measurement properties, in large part because subjects en...
Apr 8, 2026 - ISPS Data Archive
Matthew Denney; Ramon Garibaldo Valdez, 2022, "Compounding Racialized Vulnerability: COVID-19 in Prisons, Jails, and Migrant Detention Centers", https://doi.org/10.60600/YU/SKMZDZ, Yale Dataverse, V2
This project examines COVID-19 in prisons, jails, and migrant detention centers, including public opinion about the crisis within these institutions.
Apr 8, 2026 - ISPS Data Archive
Seth J. Hill; Daniel J. Hopkins; Gregory Huber, 2021, "Not by Turnout Alone: Measuring the Sources of Electoral Change, 2012 to 2016", https://doi.org/10.60600/YU/M5IM2I, Yale Dataverse, V2
Changes in partisan outcomes between consecutive elections must come from changes in the composition of the electorate or changes in the vote choices of consistent voters. How much composition versus conversion drives electoral change has critical implications for the policy mandates of election victories and campaigning and governing strategies. H...
Apr 8, 2026 - ISPS Data Archive
Limor Peer; Lilla Orr; Alexander Coppock, 2021, "Active Maintenance: A Proposal for the Long-term Computational Reproducibility of Scientific Results", https://doi.org/10.60600/YU/STDUPI, Yale Dataverse, V2
Computational reproducibility, or the ability to reproduce analytic results of a scientific study on the basis of publicly available code and data, is a shared goal of many researchers, journals, and scientific communities. Researchers in many disciplines including political science have made strides toward realizing that goal. A new challenge, how...
Apr 8, 2026 - ISPS Data Archive
Jennifer Wu, 2021, "Work Requirements and Perceived Deservingness of Medicaid", https://doi.org/10.60600/YU/4YINWR, Yale Dataverse, V2
Does an individual’s effort to acquire employer-sponsored health insurance through employment affect whether they are deserving of health insurance? Much of the current literature that examines the deservingness of federally-funded health insurance focuses on an individual’s responsibility in becoming ill. However, logic from the welfare literature...
Apr 8, 2026 - ISPS Data Archive
Jennifer Wu; Gregory Huber, 2021, "Partisan Differences in Social Distancing May Originate in Norms and Beliefs: Results from Novel Data", https://doi.org/10.60600/YU/1R7FQT, Yale Dataverse, V2
Objective: Recent academic work on the coronavirus (COVID‐19) pandemic has established a persistent difference between Democrats and Republicans in social distancing behaviors. We uncover a potential explanation for this difference—social norms and beliefs. Methods: We use a series of ordinary least squares regression specifications on novel survey...
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