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121 to 130 of 795 Results

Replication Data for: Measuring Support for Welfare Policies: Implications for the Effects of Race and Deservingness Stereotypes Apr 14, 2025 - UVA Researchers on Harvard Dataverse Zhirkov, Kirill; Kristin Lunz Trujillo; C. Daniel Myers, 2025, "Replication Data for: Measuring Support for Welfare Policies: Implications for the Effects of Race and Deservingness Stereotypes", https://doi.org/10.7910/DVN/6SHF3S What are the relative contributions of stereotypes about the race and deservingness of welfare recipients to Americans’ opinions on welfare? A recent study employing a conjoint-experimental method finds that Americans’ stereotypes of welfare recipients as undeserving drive negative attitudes towards welfare, while stereotypes of welfare recipients... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: 'Trade, Merchants, and the Lost Cities of the Bronze Age' Apr 14, 2025 - UVA Researchers on Harvard Dataverse Barjamovic, Gojko; Chaney, Thomas; Cosar, Kerem; Hortacsu, Ali, 2025, "Replication Data for: 'Trade, Merchants, and the Lost Cities of the Bronze Age'", https://doi.org/10.7910/DVN/P81WBZ The data and programs replicate tables and figures from "Trade, Merchants, and the Lost Cities of the Bronze Age", by Barjamovic, Chaney, Cosar, and Hortacsu. Please see the Readme file for additional details. This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
G and CCG Index Data from: Cleaning Corporate Governance Apr 14, 2025 - UVA Researchers on Harvard Dataverse Frankenreiter, Jens; Hwang, Cathy; Nili, Yaron; Talley, Eric, 2025, "G and CCG Index Data from: Cleaning Corporate Governance", https://doi.org/10.7910/DVN/T8UTXL Dataset listing the G index and the CCG index for companies-years for which we were able to replicate the G index using our own data This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
First grade students early mathematics skills scores obtained in a randomized controlled trial during the COVID-19 pandemic school closures with children studying alone at home in Brazil Apr 14, 2025 - UVA Researchers on Harvard Dataverse Nobre G. F. Amorim, Americo; Jeon, Lieny; Abel, Yolanda; Pape, Stephen, 2025, "First grade students early mathematics skills scores obtained in a randomized controlled trial during the COVID-19 pandemic school closures with children studying alone at home in Brazil", https://doi.org/10.7910/DVN/WIGYFI This database contains scores of the control and experimental group of students of a randomized controlled trial which involved 726 first grade students living in poverty. Skills include: Number identification, Set comparison, Count-sequence, Geometric shape, Spatial sense This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Who is “On Welfare”? Validating the Use of Conjoint Experiments to Measure Stereotype Content Apr 14, 2025 - UVA Researchers on Harvard Dataverse Myers, C. Daniel; Zhirkov, Kirill; Lunz Trujillo, Kristin, 2025, "Replication Data for: Who is “On Welfare”? Validating the Use of Conjoint Experiments to Measure Stereotype Content", https://doi.org/10.7910/DVN/6ECD1D In this paper, we use the case of welfare recipients to validate conjoint experiments as a measure of stereotype content. Stereotypes are politically consequential, but their content can be difficult to measure. The conjoint measure of stereotype content, in which respondents see profiles describing hypothetical persons and rate these persons’ degr... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: State-Linked Manipulated Media in the Time of Covid-19: A Look at Iran Apr 14, 2025 - UVA Researchers on Harvard Dataverse Bagozzi, Benjamin; Balasubramanian, Karthik; Goel, Rajni; Parker, Christopher, 2025, "Replication Data for: State-Linked Manipulated Media in the Time of Covid-19: A Look at Iran", https://doi.org/10.7910/DVN/MJHKNI What drives changes in the thematic focus of state-linked manipulated media? We study this question in relation to a long-running Iranian state-linked manipulated media campaign that was uncovered by Twitter in 2021. Using a variety of machine learning methods, we uncover and analyze how this manipulation campaign's topical themes changed in relati... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Age, Regime Type, and Violence Apr 14, 2025 - UVA Researchers on Harvard Dataverse Horowitz, Michael C.; Stam, Allan C.; McDermott, Rose, 2025, "Replication Data for: Age, Regime Type, and Violence", https://doi.org/10.7910/DVN/PORJV3 Replication Data for: Age, Regime Type, and Violence This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication data for: Ratliff, Swinkels, Klerx, & Nosek (2012): Does one bad apple(juice) spoil the bunch? Implicit attitudes toward one product transfer to other products by the same brand. Apr 14, 2025 - UVA Researchers on Harvard Dataverse Kate Ratliff; Bregje Swinkels; Kimberly Klerx; Brian Nosek, 2025, "Replication data for: Ratliff, Swinkels, Klerx, & Nosek (2012): Does one bad apple(juice) spoil the bunch? Implicit attitudes toward one product transfer to other products by the same brand.", https://doi.org/10.7910/DVN/S6KV0Y If people like a product, they will automatically like another product from the same brand even if they do not know anything about it (demonstrated in Study 1). In one sense, this may be a reasonable inference – brands that have one good product may be likely to have other good products. But what if people learn that the second product is actually... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Introducing the LEAD Data Set Apr 14, 2025 - UVA Researchers on Harvard Dataverse Horowitz, Michael C.; Ellis, Cali M.; Stam, Allan C., 2025, "Replication Data for: Introducing the LEAD Data Set", https://doi.org/10.7910/DVN/SYZZEY This dataset includes the data and replication information necessary to replicate Cali M. Ellis, Michael C. Horowitz, and Allan C. Stam, “Introducing the LEAD Dataset.” International Interactions. 41:4 (2015), pp. 718-741. The Leader Experience and Attribute Descriptions (LEAD) data set provides a rich source of new information about the personal l... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Military Technology and the Duration of Civil Conflict Apr 14, 2025 - UVA Researchers on Harvard Dataverse Caverley, Jonathan D; Sechser, Todd S, 2025, "Military Technology and the Duration of Civil Conflict", https://doi.org/10.7910/DVN/TYZK9Z Why do some civil conflicts end quickly, while others last for years? We argue that an incumbent government’s military forces play a crucial role in conflict duration. Specifically, combined arms militaries—which bring to bear a mixture of mechanized infantry, armor, and aircraft—make short conflicts more likely. The use of mechanized ground forces... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Replication Data for: Measuring Support for Welfare Policies: Implications for the Effects of Race and Deservingness Stereotypes

Apr 14, 2025 - UVA Researchers on Harvard Dataverse

Zhirkov, Kirill; Kristin Lunz Trujillo; C. Daniel Myers, 2025, "Replication Data for: Measuring Support for Welfare Policies: Implications for the Effects of Race and Deservingness Stereotypes", https://doi.org/10.7910/DVN/6SHF3S

What are the relative contributions of stereotypes about the race and deservingness of welfare recipients to Americans’ opinions on welfare? A recent study employing a conjoint-experimental method finds that Americans’ stereotypes of welfare recipients as undeserving drive negative attitudes towards welfare, while stereotypes of welfare recipients...