21 to 30 of 610 Results
Ballard-Rosa, Cameron, 2025, "Replication Data for: Inequality, Information, and Income Tax Policy Preferences in Austria and Germany", https://doi.org/10.7910/DVN/7ZWYDJ, Harvard Dataverse, V1, UNF:6:SPUYqDlYraddSvxMYWslHg== [fileUNF]
Inequality has increased over recent decades in many advanced industrial democracies, but taxes have rarely become more progressive. One possible explanation for the lack of a policy response is that, despite rising inequality, voters support higher taxes on incomes weakly, if at all. Using original representative surveys in Austria and Germany, we... |
May 1, 2025
d'Urso, Amanda Sahar; Bonilla, Tabitha; Bogdanowicz, Genni, 2025, "Replication Data for: Where to place sensitive questions? Experiments on survey response-order and measures of discriminatory attitudes", https://doi.org/10.7910/DVN/D8VODI, Harvard Dataverse, V1, UNF:6:wLFNi4hn6E2J6+WnsiF/zw== [fileUNF]
In survey experiments, should all covariates be administered before the experimental treatment? Some scholars argue that post-treatment items should never be used as covariates because the treatment could bias the measurement of those items and disrupt experimental randomization. Other scholars argue certain items—specifically sensitive questions m... |
Apr 28, 2025
Chen, Haohan; James Bisbee; Joshua A. Tucker; Jonathan Nagler, 2025, "Labeling Social Media Posts: Does Showing Coders Multimodal Content Produce Better Human Annotation, and a Better Machine Classifier?", https://doi.org/10.7910/DVN/E2BV85, Harvard Dataverse, V1, UNF:6:Bauipb+gNx0CjKVh29UimA== [fileUNF]
The increasing multimodality (e.g., images, videos, links) of social media data presents opportunities and challenges. But text-as-data methods continue to dominate as modes of classification, as multimodal social media data are costly to collect and label. Researchers who face a budget constraint may need to make informed decisions regarding wheth... |
Apr 28, 2025
Bernhard-Harrer, Jana, 2025, "Replication Data for: Beyond Standardization: A Comprehensive Review of Topic Modeling Validation Methods for Computational Social Science Research", https://doi.org/10.7910/DVN/N67BDI, Harvard Dataverse, V2
copy directly from abstract in PSRM publicationAs the use of computational text analysis in the social sciences has increased, topic modeling has emerged as a popular method for identifying latent themes in textual data. Nevertheless, concerns have been raised regarding the validity of the results produced by this method, given that it is largely a... |
Apr 25, 2025
Brutger, Ryan, 2025, "Replication Data for: Partisan Preferences for Antitrust Policy", https://doi.org/10.7910/DVN/MYZCO6, Harvard Dataverse, V1, UNF:6:3sUL8c+EPB9A9/WYPdpEfg== [fileUNF]
Industrial concentration has increased in recent years with large companies consolidating their dominant positions. Concentrated markets are thought to benefit large firms as they earn elevated profits and gain political influence. Antitrust law is the main policy tool to reduce concentration. Calls to strengthen antitrust have come from the politi... |
Melios, George; Sleiman, Yara, 2025, "Replication Data for: 'Sleeping with the enemy': Partisanship and tolerance in online dating", https://doi.org/10.7910/DVN/G1H0UA, Harvard Dataverse, V1, UNF:6:btaTvggub7sbtLFEna3O/A== [fileUNF]
The surge in political polarisation across Western societies has transcended political arenas, deeply influencing personal decisions. While such biases are often ascribed to out-group animosity, the question arises whether a person's political affiliation, or `party tag,' serves as a proxy for other distinguishing characteristics, potentially overe... |
Apr 18, 2025
Yang, Tony Zirui; Zhu, Hongshen, 2025, "Replication Data for: Twisted Tongue: Limits of China's Propaganda during Crises and Policy Changes", https://doi.org/10.7910/DVN/57YGZM, Harvard Dataverse, V1, UNF:6:Y7xQ1yrKxHSzgzXxLlegQA== [fileUNF]
Extensive research showcases authoritarian propaganda can cultivate support and deter protest during ``normal'' times. This study examines authoritarian propaganda's efficacy during crises and policy changes when the regime needs them most. We posit that various propaganda strategies, including ``hard'' and ``soft'' rhetoric, have significant limit... |
Apr 17, 2025
Yildirim, Tevfik Murat, 2025, "Replication Data for: The Urban-Rural Divide in Policy Priorities across Time and Space", https://doi.org/10.7910/DVN/WM7HDH, Harvard Dataverse, V1, UNF:6:HDLgawkqLdHWNOkHGTn/wg== [fileUNF]
This study examines sociospatial differences in policy priorities across time and space. Our empirical analysis based on a dataset of over 1.1 million respondents from 1939 to 2020 demonstrates that while there are modest but consistent gaps between urban and non-urban populations in several salient policy areas, partisan affiliation significantly... |
Apr 17, 2025
Case, Colin R.; Porter, Rachel, 2025, "Replication Data for: Conceptualizing and Measuring Early Campaign Fundraising in Congressional Elections", https://doi.org/10.7910/DVN/FVLHCX, Harvard Dataverse, V1, UNF:6:xw1lpMMnzf2Ix2OsQWflxQ== [fileUNF]
Political professionals and scholars maintain that raising money early in the election season is critical to a successful campaign, having downstream consequences on a candidate’s future fundraising potential, the stiffness of competition she will face, and her likelihood of electoral victory. In spite of early money’s perceived importance, there i... |
Apr 15, 2025
Backström, Kim; Cernat, Alexandru; Siren, Rasmus; Söderlund, Peter, 2025, "Replication Data for: Measurement Error When Surveying Issue Positions: A MultiTrait MultiError Approach", https://doi.org/10.7910/DVN/LFFOX1, Harvard Dataverse, V1
Voters’ issue preferences have been shown to be key determinants of vote choice, making it essential to reduce measurement error in responses to issue questions in surveys. This study uses a MultiTrait MultiError approach to assess the data quality of issue questions by separating four sources of variation: trait, acquiescence, method, and random e... |
