1 to 10 of 19 Results
Feb 7, 2024
Zigerell, Lawrence, 2024, "Replication Data for: Racial Bias and U.S. Presidential Candidate Preference", https://doi.org/10.7910/DVN/MSOJFY, Harvard Dataverse, V1
Replication Data for: Racial Bias and U.S. Presidential Candidate Preference |
Aug 26, 2022
Zigerell, Lawrence, 2022, "Replication Data for: Introducing Political Science Students to Data Visualization Strategies", https://doi.org/10.7910/DVN/DJBQVX, Harvard Dataverse, V1, UNF:6:1IILRfKDCBOrOYFdJengkA== [fileUNF]
Replication data for: Introducing Political Science Students to Data Visualization Strategies |
Jul 21, 2021
Zigerell, Lawrence, 2021, "Replication Data for: Technical comment on Schneider and Gonzalez", https://doi.org/10.7910/DVN/L4QQML, Harvard Dataverse, V1
Technical comment on Schneider and Gonzalez |
May 28, 2020
Zigerell, Lawrence, 2020, "Replication Data for: US Public Perceptions of an Intelligence Quotient Test Score Gap Between Black Americans and White Americans", https://doi.org/10.7910/DVN/DQEM2Q, Harvard Dataverse, V1, UNF:6:IlGCxSgUrPwpIyg6rrpANw== [fileUNF]
Replication Data for: US Public Perceptions of an Intelligence Quotient Test Score Gap Between Black Americans and White Americans |
May 28, 2020
Zigerell, Lawrence, 2020, "Replication Data for: Left Unchecked: Political Hegemony in Political Science and the Flaws It Can Cause", https://doi.org/10.7910/DVN/JAHKQV, Harvard Dataverse, V1
Replication data for: Left Unchecked: Political Hegemony in Political Science and the Flaws It Can Cause |
Feb 26, 2019
Zigerell, Lawrence, 2019, "Replication Data for: Understanding Public Support for Eugenic Policies: Results from Survey Data", https://doi.org/10.7910/DVN/PRLDCJ, Harvard Dataverse, V1, UNF:6:PhOH2s5nJcqBNH2tg7zFlw== [fileUNF]
Little published empirical research has investigated public support for eugenic policies. To add to this literature, a survey on attitudes about eugenic policies was conducted of participants from Amazon Mechanical Turk who indicated residence in the United States (N > 400). Survey items assessed the levels and correlates of support for policies th... |
Aug 16, 2017
Zigerell, Lawrence, 2016, "Replication Data for: Comment on: "Does Stereotype Threat Affect Test Performance of Minorities and Women? A Meta-Analysis of Experimental Evidence"", https://doi.org/10.7910/DVN/RCJBZG, Harvard Dataverse, V2, UNF:6:SNG3BMe61YYvJ26yFmd0Rg== [fileUNF]
Stereotype threat is a widely-cited psychological phenomenon with purported important real-world consequences. Reanalysis of data from the Nguyen and Ryan (2008) stereotype threat meta-analysis indicated the presence of small study effects in which the effect size for less precise studies was larger than the effect size for more precise studies. Fo... |
Nov 13, 2016
Zigerell, Lawrence, 2016, "Replication Data for: Reducing Political Bias in Political Science Estimates", https://doi.org/10.7910/DVN/PZLCJM, Harvard Dataverse, V1
Political science researchers have flexibility in how to analyze data, how to report data, and whether to report on data. Review of examples of reporting flexibility from the race and sex discrimination literature illustrates how research design choices can influence estimates and inferences. This reporting flexibility—coupled with the political im... |
Aug 11, 2015
Zigerell, Lawrence, 2015, "Replication Data for: Distinguishing Racism from Ideology: A Methodological Inquiry", https://doi.org/10.7910/DVN/CRZKYL, Harvard Dataverse, V1
Research using symbolic racism has provided evidence that racial bias has widespread social and political impact in the United States, influencing phenomena such as opposition to policies designed to help blacks, disapproval of Barack Obama, and membership in the Tea Party. However, symbolic racism has a racial component and a conservative componen... |
Apr 7, 2015
Zigerell, L.J, 2015, "Replication data for: Is the Gender Citation Gap in International Relations Driven by Elite Articles?", https://doi.org/10.7910/DVN/29956, Harvard Dataverse, V1
This manuscript reanalyzes data from a recent widely-discussed study reporting that female-authored articles published in top international relations journals received fewer citations than equivalent male-authored articles. The reanalysis indicated that the gender citation gap is largely limited to elite articles, defined either as articles in the... |
