31 to 40 of 586 Results
Oct 30, 2024
Hobbs, William; Green, Jon, 2024, "Replication materials for: Categorizing topics versus inferring attitudes: a theory and method for analyzing open-ended survey responses", https://doi.org/10.7910/DVN/FSK6NZ, Harvard Dataverse, V1
Article abstract: Past work on closed-ended survey responses demonstrates that inferring stable political attitudes requires separating signal from noise in “top of the head” answers to researchers’ questions. We outline a corresponding theory of the open-ended response, in which respondents make narrow, stand-in statements to convey more abstract,... |
Baltz, Samuel, 2024, "Replication Code for "The Probability of Casting a Pivotal Vote in an Instant Runoff Voting Election"", https://doi.org/10.7910/DVN/GLDGAD, Harvard Dataverse, V1
If Instant Runoff Voting (IRV) mitigates strategic voting, is that because the rules of the system mechanically reduce strategic opportunities, or because of other more indirect effects? In single-vote plurality elections, a voter can be pivotal if adding one vote to a candidate would cause that candidate to win. In IRV, it is more complicated to i... |
Oct 24, 2024
De Magalhes, Leandro; Hangartner, Dominik; Hirvonen, Salomo; Meriläinen, Jaakko; Ruiz, Nelson A.; Tukiainen, Janne, 2024, "Replication Data for: When Can We Trust Regression Discontinuity Design Estimates from Close Elections? Evidence from Experimental Benchmarks", https://doi.org/10.7910/DVN/XDVIBG, Harvard Dataverse, V1
Replication Data for: When Can We Trust Regression Discontinuity Design Estimates from Close Elections? Evidence from Experimental Benchmarks Regression discontinuity designs (RDD) are widely used in the social sciences to estimate causal effects from observational data. Scholars can choose from a range of methods that implement different RDD estim... |
Oct 10, 2024
Rogers, Melissa; Lee, Dong Wook; Soifer, Hillel, 2024, "Replication Data for: Lee, Rogers, Soifer. "The Modifiable Areal Unit Problem in Political Science"", https://doi.org/10.7910/DVN/L18QRY, Harvard Dataverse, V1
Building on the availability of geospatial data, improvements in mapping software, and innovations in spatial statistics, political scientists are increasingly taking geography seriously. As we adopt the tools of geographers, we must also consider the methodological challenges they have identified. We focus on the modifiable areal unit problem (MAU... |
Oct 9, 2024
Fritz, Cornelius, 2024, "Replication Data for: Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Politics", https://doi.org/10.7910/DVN/7ZRCS6, Harvard Dataverse, V1
Substantive research in the Social Sciences regularly investigates signed networks, where edges between actors are positive or negative. One often-studied example within International Relations for this type of network consists of countries that can cooperate with or fight against each other. These analyses often build on structural balance theory,... |
Slough, Tara; Tyson, Scott, 2024, "Replication Data for: Sign-Congruence, External Validity, and Replication", https://doi.org/10.7910/DVN/BDCJBZ, Harvard Dataverse, V1
We develop a formal framework for accumulating evidence across studies and apply it to develop theoretical foundations for replication. Our primary contribution is to characterize the relationship between replication and distinct formulations of external validity. Whereas conventional wisdom holds that replication facilitates learning about externa... |
Sep 19, 2024
Cao, Jian; Chadefaux, Thomas, 2024, "Replication Data for: Dynamic Synthetic Controls: Accounting for Varying Speeds in Comparative Case Studies", https://doi.org/10.7910/DVN/DIUPUA, Harvard Dataverse, V1, UNF:6:bRGPrNqOQXtHwotEDa55dw== [fileUNF]
Synthetic controls are widely used to estimate the causal effect of a treatment. However, they do not account for the different speeds at which units respond to changes. Reactions may be inelastic or “sticky” and thus slower due to varying regulatory, institutional, or political environments. We show that these different reaction speeds can lead to... |
Rainey, Carlisle, 2024, "Replication Data for: The Limits (and Strengths) of Single-Topic Experiments", https://doi.org/10.7910/DVN/QX0BSK, Harvard Dataverse, V1
Abstract: We examine the generalizability of single-topic studies, focusing on how often their confidence intervals capture the typical treatment effect from a larger population of possible studies. We show that the confidence intervals from these single-topic studies capture the typical effect from a population of topics at well below the nominal... |
Scholz, Stefan; Weidmann, Nils B.; Steinert-Threlkeld, Zachary C.; Keremoglu, Eda; Goldlücke, Bastian, 2024, "Replication Data for: Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes", https://doi.org/10.7910/DVN/TFTEF2, Harvard Dataverse, V1, UNF:6:ZWt+QKpF0XEtc3cjMsNg2A== [fileUNF]
Treating images as data has become increasingly popular in political science. While existing classifiers for images reach high levels of accuracy, it is difficult to systematically assess the visual features on which they base their classification. This paper presents a two-level classification method that addresses this transparency problem. At th... |
Aug 8, 2024
Lei, Rayleigh; Rodriguez, Abel, 2024, "Replication Data for: A Novel Class of Unfolding Models for Binary Preference Data", https://doi.org/10.7910/DVN/SVBF5T, Harvard Dataverse, V1
We develop a new class of spatial voting models for binary preference data that can accommodate both monotonic and non-monotonic response functions, and are more flexible than alternative “unfolding” models previously introduced in the literature. We then use these models to estimate revealed preferences for legislators in the U.S. House of Represe... |
