261 to 270 of 274 Results
Feb 13, 2020
Genovese, Federica, 2020, "Replication Data for: Politics @Pontifex: International Crises and Political Patterns of Papal Tweets", https://doi.org/10.7910/DVN/6XCLRY, Harvard Dataverse, V1
The file includes data and code to replicate figures in Genovese (2019) "Politics @Pontifex: International Crises and Political Patterns of Papal Tweets", PS: Political Science & Politics, 52(1), 7-13 |
Dec 11, 2019
Key, Ellen, 2019, "Replication Data for: You Research Like a Girl: Gendered Research Agendas and Their Implications", https://doi.org/10.7910/DVN/L55JBL, Harvard Dataverse, V1, UNF:6:7GnMVLlPMmfZN+QYSGE/Gg== [fileUNF]
Political science, like many disciplines, has a “leaky-pipeline” problem. Women are more likely to leave the profession than men. Those who stay are promoted at lower rates. Recent work has pointed toward a likely culprit: women are less likely to submit work to journals. Why? One answer is that women do not believe their work will be published. Th... |
Aug 30, 2019 - Yusaku Horiuchi Dataverse
Brown, Nadia; Horiuchi, Yusaku; Htun, Mala; Samuels, David, 2019, "Replication Data for: Gender Gaps in Perceptions of Political Science Journals", https://doi.org/10.7910/DVN/CIBFU4, Harvard Dataverse, V1
The gender publication gap puts women at a disadvantage for tenure and promotion, which contributes to the discipline's leaky pipeline. Several studies published in PS find no evidence of gender bias in the review process, and instead suggest that submissions pools are distorted by gender. To make a contribution to this important debate, we fielded... |
Jul 23, 2019 - Harvard Dataverse
Pepinsky, Thomas, 2019, "Replication Data for: Gender Representation and Strategies for Panel Diversity: Lessons from the APSA Annual Meeting", https://doi.org/10.7910/DVN/UV8UB0, Harvard Dataverse, V1, UNF:6:x8o73pQxOSh/hg3DthNLKg== [fileUNF]
These are the replication files for “Gender Representation and Strategies for Panel Diversity: Lessons from the APSA Annual Conference” (with Sara Wallace Goodman). PS: Political Science & Politics. |
Nov 26, 2018 - Harvard Dataverse
Zoorob, Michael, 2018, "Replication Data for: Blue Endorsements Matter: How the Fraternal Order of Police Contributed to Donald Trump’s Victory", https://doi.org/10.7910/DVN/CCUHUY, Harvard Dataverse, V1, UNF:6:thEFin/iwXevIR5Z4b+1ew== [fileUNF]
Code and data replicating analyses |
Jan 12, 2017 - John Bullock Dataverse
Bullock, John, 2017, "Reference Rot: An Emerging Threat to Transparency in Political Science", https://doi.org/10.7910/DVN/Q8VDN0, Harvard Dataverse, V1, UNF:6:HufPtMFwXDY13FS7aDkTkQ== [fileUNF]
Transparency of research is a large concern in political science, and the practice of publishing links to datasets and other online resources is one of the main methods by which political scientists promote transparency. But the method cannot work if the links don’t, and very often, they don’t. We show that most of the URLs ever published in the Am... |
Jan 5, 2015 - Ryan T Moore Dataverse
Moore, Ryan T., 2014, "Replication data for: Overcoming Barriers to Heterogeneous-Group Learning in the Political Science Classroom", https://doi.org/10.7910/DVN/26685, Harvard Dataverse, V2, UNF:5:eW5o4A7CXYkLrS9ZtaKvmg== [fileUNF]
The included file replication.R performs calculations and simulations to replicate the results of Moore, Ryan T. ``Overcoming Barriers to Heterogeneous-Group Learning in the Political Science Classroom''. PS: Political Science & Politics, 48(1):149-156, 2015. |
May 25, 2014 - L.J Zigerell Dataverse
Zigerell, L.J, 2014, "Replication data for: Don't Know Much about Democracy: Reporting Survey Data with Nonsubstantive Responses", https://doi.org/10.7910/DVN/26167, Harvard Dataverse, V1
Large majorities in nearly every country support democracy, according to studies of cross-national surveys. But many of these reports have treated as missing data persons who did not provide a substantive response when asked to offer an opinion about the suitability of democracy as a regime type for their country, which has led to substantial overes... |
Dec 4, 2013 - Andreas Graefe Dataverse
Graefe, Andreas, 2013, "Replication data for: Accuracy of combined forecasts for the 2012 Presidential Election: The PollyVote", https://doi.org/10.7910/DVN/POLLYVOTE2012, Harvard Dataverse, V1
We review the performance of the PollyVote, which combined forecasts from polls, prediction markets, expertsâ judgment, political economy models, and index models to forecast the two-party popular vote in the 2012 U.S. Presidential Election. Throughout the election year the PollyVote provided highly accurate forecasts, outperforming each of its c... |
Janet Box-Steffensmeier, 2013, "Replication data for: A Dynamic Labor Market: How Political Science is Opening Up to Methodologists, and How Methodologists are Opening Up Political Science", https://doi.org/10.7910/DVN/PUFX8D, Harvard Dataverse, V1
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