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261 to 270 of 822 Results

Replication data for: Nosek and Smyth (2011): Implicit social cognitions predict math engagement and achievement Apr 14, 2025 - UVA Researchers on Harvard Dataverse 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 - UVA Researchers on Harvard Dataverse 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.
Replication Data for: Migrants as Engines of Financial Globalization: The Case of Global Banking Apr 14, 2025 - UVA Researchers on Harvard Dataverse Zeitz, Alexandra O; Leblang, David A, 2025, "Replication Data for: Migrants as Engines of Financial Globalization: The Case of Global Banking", https://doi.org/10.7910/DVN/3KKGGB Does international migration contribute to the spread of global commerce? Recent work demonstrates the relevance of international migration for patterns of investment, focusing on migrants’ role in facilitating investment from their host country to their country of origin. By contrast, we investigate the potential for migrants to attract inward inv... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Ruling Parties in Authoritarian Regimes: Rethinking Institutional Strength Apr 14, 2025 - UVA Researchers on Harvard Dataverse Meng, Anne, 2025, "Replication Data for: Ruling Parties in Authoritarian Regimes: Rethinking Institutional Strength", https://doi.org/10.7910/DVN/7H6XQO A key finding in the literature on authoritarian regimes is that leaders frequently rely on ruling parties to stay in power, but we lack systematic ways to measure autocratic party strength. As a result, it is not clear how often ruling parties are actually strong and capable of carrying out important functions. This article demonstrates that stron... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Alienable speech: Ideological variations in the application of free-speech principles Apr 14, 2025 - UVA Researchers on Harvard Dataverse Nicole M. Lindner; Brian A. Nosek, 2009, "Alienable speech: Ideological variations in the application of free-speech principles", https://doi.org/10.7910/DVN/AGSM9Z, Nicole M. Lindner Although freedom of speech is a Constitutionally protected and widely endorsed value, political tolerance research finds that people are less willing to protect speech they dislike than speech they like (Gibson, 2006). Research also suggests liberal-conservative differences in political tolerance (Davis & Silver, 2004). We measured U.S. citizens' p... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Price-Responsive Allowance Supply in Emissions Markets Apr 14, 2025 - UVA Researchers on Harvard Dataverse Shobe, William; Burtraw, Dallas; Holt, Charles; Palmer, Karen, 2025, "Replication Data for: Price-Responsive Allowance Supply in Emissions Markets", https://doi.org/10.7910/DVN/DHU5PM Data from experiments in csv format. A codebook file is included. All raw data is included, but the merged data used in the statistical analysis is contained in the data_for_analysis file. This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Nothing to See Here: Republican Congressional Members' Reactions to Trump Apr 14, 2025 - UVA Researchers on Harvard Dataverse Vinson, C Danielle; Lollis, Jacob, 2025, "Replication Data for: Nothing to See Here: Republican Congressional Members' Reactions to Trump", https://doi.org/10.7910/DVN/FTG96T The Dataset was compiled to examine how Republican members of Congress reacted to President Donald Trump when he behaved contrary to Republican policies or historical norms. It includes tweets from congressional members reacting to five cases in the study, the content analysis data and relevant electoral and demographic data for each member of Cong... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Bar-Anan, Nosek, & Vianello (2009): The Sorting Paired Features Task: A Measure of Association Strengths Apr 14, 2025 - UVA Researchers on Harvard Dataverse Yoav Bar-Anan, Brian Nosek, & Michelangelo Vianello, 2009, "Bar-Anan, Nosek, & Vianello (2009): The Sorting Paired Features Task: A Measure of Association Strengths", https://doi.org/10.7910/DVN/IQHC1J, Brian Nosek The sorting paired features (SPF) task measures four associations in a single response block. Using four response options (e.g., good-Republicans, bad-Republicans, good-Democrats, and bad-Democrats), each trial requires participants to categorize two stimuli at once to a category pair (e.g., wonderful-Clinton to good-Democrats). Unlike other associ... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Nosek, Banaji, & Greenwald (2002): Math = Male, Me = Female, therefore Math ^= Me Apr 14, 2025 - UVA Researchers on Harvard Dataverse Brian Nosek, 2002, "Nosek, Banaji, & Greenwald (2002): Math = Male, Me = Female, therefore Math ^= Me", https://doi.org/10.7910/DVN/1PEUPZ, Brian Nosek We examined the role of group membership (being female or male), implicit identity with social groups (me=male/female), and math-gender stereotypes (math=male) in predicting implicit math attitudes (math=good) and math identity (math=me). In addition, we investigated the relationship between implicit and explicit preferences and SAT performance. Co... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: War on Aisle 5: Casualties, National Identity, and Consumer Behavior Apr 14, 2025 - UVA Researchers on Harvard Dataverse Helms, Benjamin; Pandya, Sonal S.; Venkatesan, Rajkumar, 2025, "Replication Data for: War on Aisle 5: Casualties, National Identity, and Consumer Behavior", https://doi.org/10.7910/DVN/ME7BVD A growing body of research argues that external threats from the international system strengthen ethnocentrism and authoritarianism, personal values anchored in national identity. We evaluate a necessary implication of this argument, that these shifting values drive change in broader social behaviors. Our focus is revealed value change in a non-pol... 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 - UVA Researchers on Harvard Dataverse

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...