UVA Researchers on Harvard Dataverse

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161 to 170 of 257 Results

CES 2020, Team Module of University of Virginia (UVA) Apr 14, 2025 Kirkland, Justin, 2025, "CES 2020, Team Module of University of Virginia (UVA)", https://doi.org/10.7910/DVN/KSOKGV, CCES This dataverse contains the data and supporting documents for the CES 2020 Team Module of the University of Virginia. This project was supported by the National Science Foundation, Grant Number SES-1948863. This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Us Over Here Versus Them Over There...Literally: Measuring Place Resentment in American Politics Apr 14, 2025 Brian Kal Munis, 2025, "Replication Data for: Us Over Here Versus Them Over There...Literally: Measuring Place Resentment in American Politics", https://doi.org/10.7910/DVN/LZQHTK This page includes all replication data and code associated with "Us Over Here Versus Them Over There...Literally: Measuring Place Resentment in American Politics." This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
CES 2020, Team Module of University of Virginia, University of Michigan (UMV) Apr 14, 2025 Winter, Nick; Kinder, Don, 2025, "CES 2020, Team Module of University of Virginia, University of Michigan (UMV)", https://doi.org/10.7910/DVN/NVHFRU, CCES This dataverse contains the data and supporting documents for the CES 2020 Team Module of the University of Virginia and the University of Michigan. This project was supported by the National Science Foundation, Grant Number SES-1948863. This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Social Brokerage: Accountability and the Social Life of Information Apr 14, 2025 Kruks-Wisner, Gabrielle, 2025, "Replication Data for: Social Brokerage: Accountability and the Social Life of Information", https://doi.org/10.7910/DVN/OKZOUX Social accountability initiatives seek to empower citizens to hold officials to account beyond elections, yet often meet with mixed results. This article highlights a neglected dimension in the study of accountability: intermediation by brokers who share and frame information. In contrast to literature that focuses on political brokers in clienteli... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication data for: Does Temporary Affirmative Action Produce Persistent Effects? A Study of Black and Female Employment in Law Enforcement Apr 14, 2025 Miller, Amalia R.; Segal, Carmit, 2025, "Replication data for: Does Temporary Affirmative Action Produce Persistent Effects? A Study of Black and Female Employment in Law Enforcement", https://doi.org/10.7910/DVN/RW3KS5 This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Graham, Haidt, & Nosek (2009): Liberals and conservatives rely on different sets of moral foundations Apr 14, 2025 Jesse Graham, Jonathan Haidt, & Brian Nosek, 2007, "Graham, Haidt, & Nosek (2009): Liberals and conservatives rely on different sets of moral foundations", https://doi.org/10.7910/DVN/SJTRBI, Brian Nosek How and why do moral judgments vary across the political spectrum? To test moral foundations theory (J. Haidt & J. Graham, 2007; J. Haidt & C. Joseph, 2004), the authors developed several ways to measure people’s use of 5 sets of moral intuitions: Harm/care, Fairness/reciprocity, Ingroup/loyalty, Authority/respect, and Purity/sanctity. Across 4 stu... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Under the Cover of Darkness: How Ambient Light Influences Criminal Activity Apr 14, 2025 Doleac, Jennifer; Sanders, Nicholas, 2025, "Replication Data for: Under the Cover of Darkness: How Ambient Light Influences Criminal Activity", https://doi.org/10.7910/DVN/N4TMYQ Doleac, Jennifer L., and Sanders, Nicholas J., (2015) "Under the Cover of Darkness: How Ambient Light Influences Criminal Activity." Review of Economics and Statistics 97:5, 1093-1103. This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Democratization and Foreign Direct Investment Liberalization, 1970–2000 Apr 14, 2025 Pandya, Sonal S., 2025, "Democratization and Foreign Direct Investment Liberalization, 1970–2000", https://doi.org/10.7910/DVN/NYBSMR Despite the central role of foreign direct investment (FDI) in global economic integration, we lack explanations for why countries restrict FDI inflows. This article analyzes the sources of FDI liberalization using a comprehensive new data set of national foreign ownership restrictions spanning over 90 countries for the period 1970–2000. Analyses o... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication data for: Nosek and Smyth (2011): Implicit social cognitions predict math engagement and achievement Apr 14, 2025 Brian Nosek, 2011, "Replication data for: Nosek and Smyth (2011): Implicit social cognitions predict math engagement and achievement", https://doi.org/10.7910/DVN/Z3MV4J Gender stereotypes about math and science do not need to be endorsed, or even available to conscious introspection, to contribute to the sex gap in engagement and achievement in science, technology, engineering and mathematics (STEM). We examined implicit math attitudes and stereotypes among a heterogeneous sample of 5,139 participants. Women showe... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: The Primary Path for Turning Legislative Effectiveness into Electoral Success Apr 14, 2025 Volden, Craig, 2025, "Replication Data for: The Primary Path for Turning Legislative Effectiveness into Electoral Success", https://doi.org/10.7910/DVN/ZI48LK Effective lawmakers are the workhorses of the U.S. Congress, yet we know little about the electoral payoffs of their efforts. Are effective lawmakers better at warding off challengers in the next election? Do they win at a greater rate? To answer these questions, we draw on original data on congressional primary elections from 1980 to 2016, allowin... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

CES 2020, Team Module of University of Virginia (UVA)

Apr 14, 2025

Kirkland, Justin, 2025, "CES 2020, Team Module of University of Virginia (UVA)", https://doi.org/10.7910/DVN/KSOKGV, CCES

This dataverse contains the data and supporting documents for the CES 2020 Team Module of the University of Virginia. This project was supported by the National Science Foundation, Grant Number SES-1948863.