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Political Analysis Dataverse (Oxford Journals)
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Political Analysis is the official journal of the Society for Political Methodology and the Political Methodology Section of the American Political Science Association. We publish articles that provide original and significant advances in the general area of political methodology, including both quantitative and qualitative methodological approaches.
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1 to 10 of 297 Results
Feb 15, 2017
Jäger, Kai, 2017, "Replication Data for: The potential of online sampling for studying political activists around the world and across time", doi:10.7910/DVN/346Y30, Harvard Dataverse, V1, UNF:6:31jdPypumaMf7pceXHJInw==
Parties and social movements play an important role in many theories of political science. Yet, the study of intra-party politics remains underdeveloped as random samples are difficult to conduct among political activists. This paper proposes a novel procedure to sample different...
Feb 6, 2017
Rainey, Carlisle, 2017, "Replication Data for: Transformation-Induced Bias", doi:10.7910/DVN/CYXFB8, Harvard Dataverse, V1, UNF:6:XDVZ8wD2BMxScpCoFcCLYg==
Political scientists commonly focus on quantities of interest computed from model coefficients rather than on the coefficients themselves. However, the quantities of interest, such as predicted probabilities, first differences, and marginal effects, do necessarily not inherit the...
Jan 18, 2017
Heersink, Boris; Peterson, Brenton D.; Jenkins, Jeffery A., 2017, "Disasters and Elections: Estimating the Net Effect of Damage and Relief in Historical Perspective", doi:10.7910/DVN/AKHHHF, Harvard Dataverse, V1, UNF:6:bcCeuvD3haeNx4alZXnrWw==
Replication files for "Disasters and Elections: Estimating the Net Effect of Damage and Relief in Historical Perspective," by Boris Heersink, Brenton D. Peterson, and Jeffery A. Jenkins.
Dec 31, 2016
Harbers, Imke; Ingram, Matthew C, 2016, "Replication Data for: Geo-Nested Analysis: Mixed-Methods Research with Spatially Dependent Data", doi:10.7910/DVN/HRLHA4, Harvard Dataverse, V1
Replication code and sample data used for above mentioned publication in Political Analysis.
Dec 20, 2016
Eady, Gregory, 2016, "Replication Data for: The Statistical Analysis of Misreporting on Sensitive Survey Questions", doi:10.7910/DVN/PZKBUX, Harvard Dataverse, V1
Replication data for the article Eady, Gregory (2016) "The Statistical Analysis of Misreporting on Sensitive Survey Questions"
Dec 15, 2016
Tausanovitch, Chris ; Warshaw, Christopher, 2016, "Replication Data for: Estimating Candidates' Political Orientation in a Polarized Congress", doi:10.7910/DVN/GTSXC1, Harvard Dataverse, V1, UNF:6:TdzTVFF9iMoZ1MTCXDtWgw==
Over the past decade, a number of new measures have been developed that attempt to capture the political orientation of both incumbent and non-incumbent candidates for Congress, as well as other offices, on the same scale. These measures pose the tantalizing possibility of being...
Dec 15, 2016
Cranmer, Skyler; Desmarais, Bruce, 2016, "Replication Data for: What can we Learn from Predictive Modeling?", doi:10.7910/DVN/UFSQ1J, Harvard Dataverse, V1
The large majority of inferences drawn in empirical political research follow from model-based associations (e.g. regression). Here, we articulate the benefits of pre- dictive modeling as a complement to this approach. Predictive models aim to specify a probabilistic model that p...
Dec 14, 2016
Steinert-Threlkeld, Zachary C., 2016, "Replication Data for: Longitudinal Network Centrality Using Incomplete Data", doi:10.7910/DVN/KKWB4A, Harvard Dataverse, V1
How does individuals’ influence in a large social network change? Social scientists have difficulty answering this question because measuring influence requires frequent observations of a population of individuals’ connections to each other, while sampling that social network rem...
Dec 9, 2016
Butler, Daniel; Homola, Jonathan, 2016, "Replication Data for: An Empirical Justification for the Use of Racially Distinctive Names to Signal Race in Experiments", doi:10.7910/DVN/LUGBL1, Harvard Dataverse, V1, UNF:6:xVWZjghKCtaI26kPihDaRA==
This provides the files necessary to replicate "An Empirical Justification for the Use of Racially Distinctive Names to Signal Race in Experiments."
Dec 3, 2016
Warner, Zach; Lupu, Noam; Selios, Lucía, 2016, "Replication Data for: A New Measure of Congruence: The Earth Mover's Distance", doi:10.7910/DVN/NO90AJ, Harvard Dataverse, V1, UNF:6:3UGgb4YU6iFnegFW5UDI3w==
Replication materials for Lupu, Selios, and Warner (2016), "A New Measure of Congruence: The Earth Mover's Distance." All data and scripts required to generate the figures and results in the paper are in this archive. We also provide basic codebooks; for the full data citation an...
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