221 to 230 of 822 Results
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Mitchell Elder, Elizabeth; Cecilia Hyunjung Mo; John Holbein, 2025, "Replication Data for: Civilian National Service Programs Can Powerfully Increase Youth Voter Turnout", https://doi.org/10.7910/DVN/HLJWQI
This dataset contains replication data for the publication Civilian National Service Programs Can Powerfully Increase Youth Voter Turnout.This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Pescosolido, Bernice; Lee, Byungkyu; Kafadar, Karen, 2025, "Replication Data for: Cross-level Sociodemographic Homogeneity Alters Individual Risk For Completed Suicide", https://doi.org/10.7910/DVN/35IV23
Among deaths of despair, the individual and community correlates of US suicides have been consistently identified and are well-known. Yet, the suicide rate has been stubbornly unyielding to reduction efforts, promoting calls for novel research directions. Linking levels of influence have been proposed in theory but blocked by data limitations in th...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Gilbert, Joshua B.; Himmelsbach, Zachary; Soland, James; Joshi, Mridul; Domingue, Benjamin W., 2025, "Replication Data for: Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory", https://doi.org/10.7910/DVN/C4TJCA
This dataset contains replication materials for paper entitled: "Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory." Materials include the datasets, scripts to replicate analyses, and supplemental materials.This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Chaurey, Ritam; Chiplunkar, Gaurav; Soundararajan, Vidhya, 2025, "Replication Data for: Employment Protection Legislation and Informality: Theory and Evidence from India", https://doi.org/10.7910/DVN/IIFBYD
This is the replication package for "Employment Protection Legislation and Informality: Theory and Evidence from India," accepted in 2024 by the Journal of Political Economy: Microeconomics.This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Fuhrmann, Matthew; Sechser, Todd, 2014, "Replication data for: Signaling Alliance Commitments: Hand-Tying and Sunk Costs in Extended Nuclear Deterrence", https://doi.org/10.7910/DVN/27466
How can states signal their alliance commitments? Although scholars have developed sophisticated theoretical models of costly signaling in international relations, we know little about which specific policies leaders can implement to signal their commitments. This article addresses this question with respect to the extended deterrent effects of nuc...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Fitzgerald, Cailey E., 2014, "A Correction for Structural Equation Modeling Fit Indices Under Missingness: Adapting the Root Mean Squared Error of Approximation to Conditions of Missing Data", https://doi.org/10.7910/DVN/28657, Harvard Dataverse Network
Missing data is a frequent occurrence in both small and large datasets. Among other things, missingness may be a result of coding or computer error, participant absences, or it may be intentional, as in a planned missing design. Whatever the cause, the problem of how to approach a dataset with holes is of much relevance in scientific research. Firs...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Lowande, Kenneth S.; Jenkins, Jeffery A.; Clarke, Andrew J., 2025, "Replication Data for: Presidential Particularism and U.S. Trade Politics", https://doi.org/10.7910/DVN/51N9A7
Research on presidential distributive politics focuses almost exclusively on federal domestic spending. Yet, presidential influence on public policy extends well-beyond grant allocation. Since the early 20th Century, for example, the president has had substantial discretion to adjust tariff schedules and non-tariff barriers “with the stroke of a pe...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Kate Ranganath & Brian Nosek, 2006, "Ranganath & Nosek (2008): Implicit attitude generalization occurs immediately, explicit attitude generalization takes time", https://doi.org/10.7910/DVN/AULYGY, Brian Nosek
People are able to explicitly resist using knowledge about one person to evaluate another person from the same group. After learning about positive and negative behaviors performed by one individual from each of two different groups, participants were introduced briefly to new individuals from the groups. Implicit evaluations of the original indivi...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Mitchell, Gregory and John Monahan, Laurens Walker, 2011, "Replication data for: The ASA’s Missed Opportunity to Promote Sound Science in Court", https://doi.org/10.7910/DVN/HH2J8Q
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Kate Ranganath, Colin Smith, & Brian Nosek, 2009, "Ranganath, Smith, & Nosek (2008): Distinguishing automatic and controlled components of attitudes from direct and indirect measurement methods", https://doi.org/10.7910/DVN/IOUSBB, Brian Nosek
Distinct automatic and controlled processes are presumed to influence social evaluation. Most empirical approaches examine automatic processes using indirect methods, and controlled processes using direct methods. We distinguished processes from measurement methods to test whether a process distinction is more useful than a measurement distinction...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
