61 to 70 of 274 Results
Sep 8, 2024
Brew, Brian, 2024, "Replication Data for: Teaching Electoral Institutions Using In-Class Simulations", https://doi.org/10.7910/DVN/REHH3Q, Harvard Dataverse, V1, UNF:6:IWzScDVcsmxZhcBuhj5plQ== [fileUNF]
Understanding how institutions shape outcomes is an important skill for students of American political science. Simulations where students participate in mock-elections structured by real-world institutions can serve as a potent tool to aid students’ learning. This article presents a model for a simulated 2020 Democratic Iowa caucus. Following offi... |
Aug 13, 2024
Sanbonmatsu, Kira, 2024, "Replication Data for: Understanding Black Women’s and Latinas’ Perspectives about Political Giving", https://doi.org/10.7910/DVN/DERZQL, Harvard Dataverse, V1
Giving money to candidates is an important but unequal form of political voice. Among those Americans worst represented as campaign contributors are Black women and Latinas. While inequalities in income and wealth fuel inequalities in campaign contributions, resources are an incomplete explanation. This study investigates, for Black women and Latin... |
Jul 9, 2024 - Harvard Dataverse
Rivetti, Paola; Banarjee, Rituparna; O'Mullane, David, 2024, "Replication Data for: Testing ChatGPT in IR classrooms: Potentialities, Limitations, and What’s Next", https://doi.org/10.7910/DVN/ZB1S4P, Harvard Dataverse, V1
While significant attention has been devoted to online/blended teaching and related tools, open GenAI chatbots/LLMs and writing programmes have received less attention as instruments that impact our teaching and assessment methods. The pedagogies of political science and IR somehow trail behind in understanding and dealing with them. For those teac... |
Jul 2, 2024
Piscopo, Jennifer, 2024, "Replication Data for: Still Marginalized? Gender and LGBTQIA+ Scholarship in Top Political Science Journals", https://doi.org/10.7910/DVN/WW4OUZ, Harvard Dataverse, V1, UNF:6:3owGe2l9Z9Um8RAver2CDw== [fileUNF]
Replication files include the dataset (in the xsls file) and the Stata .do file (in the .txt file). Analyses were performed using Stata 17. |
Munger, Kevin; James Bisbee, 2024, "Replication Data for: The Vibes are Off: Did Elon Musk Push Academics off Twitter?", https://doi.org/10.7910/DVN/FH59GV, Harvard Dataverse, V1
Twitter has been a prominent forum for academics communicating online, both among themselves and with policymakers or the broader public. Elon Musk’s take-over of the company brought sweeping change to many aspects of the platform, including the public access to its data; Twitter’s approach to censorship and mis/disinformation; and tweaks to the af... |
Jun 25, 2024
Miller, Andrew, 2024, "Replication Data for: Registering Theory-based Predictions in Political Science", https://doi.org/10.7910/DVN/ZGDHOU, Harvard Dataverse, V1, UNF:6:Y8jfxDPf+IQ5+T8EkVtN4Q== [fileUNF]
Abstract: How can political scientists rigorously evaluate the predictive power of theories? Many peer-reviewed political science articles include predictions about future outcomes, and scholars make predictions on social media and other public forums. The prevalence of predictions suggests that scholars recognize the utility of leveraging theories... |
Jun 25, 2024
Phan, Ngoc T.; De Lude, Leilani, 2024, "Replication Data for: Native Hawaiian Self-Identification in the 2020 CMPS: Political Relevance and Insights", https://doi.org/10.7910/DVN/POLB30, Harvard Dataverse, V1, UNF:6:uZ/6oVCZA8k2hn0+HNhwvw== [fileUNF]
This paper explores the implications of including a Native Hawaiian oversample in the 2020 Collaborative Multicultural Post-Election Survey (CMPS) for political science research. By disaggregating Native Hawaiians from broader racial and ethnic categories, the study sheds light on their unique experiences and political significance. Challenges in s... |
Jun 24, 2024
Stewart, Evan; Nazita Lajevardi; Tarah Williams; Roy Whitaker, 2024, "Replication Data for: Climate, Conflict & Context: Re-Evaluating Americans' Support for Refugees", https://doi.org/10.7910/DVN/USRTNJ, Harvard Dataverse, V1, UNF:6:Nv/Sxgn78h6+CXUidrUllA== [fileUNF]
As more people are displaced by climate change, public acceptance of migrants is an increasingly relevant geographical and political issue. How willing are Americans to accept climate migrants and how does this support compare to others fleeing conflict? We conducted a nationally representative survey experiment (n=1,027) with prompts that varied t... |
Ross, Ashley D.; Rouse, Stella M.; Alcaniz, Isabella; Marchevsky, Alejandra, 2024, "Replication Data for Who is Perceived as Deserving? How Social Identities Shape Attitudes about Disaster Assistance in the United States", https://doi.org/10.7910/DVN/XIXD0J, Harvard Dataverse, V2, UNF:6:tz/uEB8P6uulbltjMTVLHA== [fileUNF]
Research has shown that as the size of government assistant programs grow, and the recipients of such programs are increasingly non-white or non-citizen, public support for these programs declines. We examine this phenomenon on the question of deservingness in federal disaster assistance. Utilizing a 2018 survey experiment that leverages two devast... |
Jun 10, 2024
Flores, Andrew, 2024, "Replication Data for: Rainbow Voices: LGBTQ Respondents in the 2020 Collaborative Multiracial Postelection", https://doi.org/10.7910/DVN/IFG7JI, Harvard Dataverse, V1, UNF:6:9uHFi/+lajv1ArJtWbQ28Q== [fileUNF]
The Collaborative Multiracial Postelection Survey (CMPS) has been collecting an incredibly diverse sample of adults in the United States since 2008. However, it was not until 2020 when the principals of the CMPS took major steps to assure that they obtained a quality sample of LGBTQ people, where I served as the LGBTQ Oversample Director. In this n... |
