Political Behavior Dataverse

Political Behavior publishes original research in the general fields of political behavior, institutions, processes, and policies. Coverage focuses on conventional and unconventional political behavior of individuals or small groups, and of large organizations that participate in the political process such as parties, interest groups, political action committees, governmental agencies, and mass media.

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11 to 20 of 4,970 Results

Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections. Jun 19, 2025 Huber, Gregory, 2025, "Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections.", https://doi.org/10.7910/DVN/3BCD6V, Harvard Dataverse, V1 Scripts and public replication data for paper
01_wrangling.R.docx Jun 19, 2025 - Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections. MS Word - 27.6 KB - MD5: 4e263e3f29ab097b668c64b084c7615c This word document has the R script that creates the public replication dataset. It is provided for transparency. The private data this script uses is not posted because of PII concerns.
02_analysis.R Jun 19, 2025 - Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections. R Syntax - 50.6 KB - MD5: 5b037ca9b9243010902bf095a4e0ba7d Performs analysis reported in paper
cleaned_data.Rdata Jun 19, 2025 - Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections. R Data - 3.0 MB - MD5: 4e0365093d2a9e194e81c78bbc55e019 Public replication datafile created by script 01_wrangling.R (raw data not provided because of PII)
estimate_means.R Jun 19, 2025 - Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections. R Syntax - 4.1 KB - MD5: 9cc21be83438370225d63ab031e1c75a
make_kable.R Jun 19, 2025 - Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections. R Syntax - 3.0 KB - MD5: 7073e61d363d18ccc5491d965ab528b5
make_texreg.R Jun 19, 2025 - Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections. R Syntax - 2.9 KB - MD5: 9093d3344c1365affbdf810772cf303a
readme.md Jun 19, 2025 - Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections. Markdown Text - 1.4 KB - MD5: 642f5d048b42648f9d0ba9ec147d11b8 Read me
visualize_means.R Jun 19, 2025 - Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections. R Syntax - 8.3 KB - MD5: 490fd21fbcfca7d12714d9ec31774aa3
Replication Data for: On Fertile Ground: How Racial Resentment Primes White Americans to Believe Fraud Accusations Jun 12, 2025 Morris, Kevin, 2025, "Replication Data for: On Fertile Ground: How Racial Resentment Primes White Americans to Believe Fraud Accusations", https://doi.org/10.7910/DVN/S1SF0O, Harvard Dataverse, V1, UNF:6:PVHjEahWdLr89QPmhuY3eg== [fileUNF] White Americans face a democratic dilemma: remain committed to electoral democracy (which has been historically beneficial for them), or abandon it as non-White groups gain political stature. We argue "fraud" narratives offer White Americans a solution: they can reject specific democratic outcomes, while remaining committed to democracy as an ideal...

Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections.

Jun 19, 2025

Huber, Gregory, 2025, "Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections.", https://doi.org/10.7910/DVN/3BCD6V, Harvard Dataverse, V1

Scripts and public replication data for paper

01_wrangling.R.docx

Jun 19, 2025 - Replication Data for: Disagreements about Threats to Electoral Integrity: Beliefs about the Severity and Frequency of Fraudulent, Uncounted, and Forgone Votes in the 2020 and 2024 Elections.

MS Word - 27.6 KB -

This word document has the R script that creates the public replication dataset. It is provided for transparency. The private data this script uses is not posted because of PII concerns.

02_analysis.R

R Syntax - 50.6 KB -

Performs analysis reported in paper

cleaned_data.Rdata

R Data - 3.0 MB -

Public replication datafile created by script 01_wrangling.R (raw data not provided because of PII)

estimate_means.R

R Syntax - 4.1 KB -

make_kable.R

R Syntax - 3.0 KB -

make_texreg.R

R Syntax - 2.9 KB -

readme.md

Markdown Text - 1.4 KB -

Read me

visualize_means.R

R Syntax - 8.3 KB -

Replication Data for: On Fertile Ground: How Racial Resentment Primes White Americans to Believe Fraud Accusations

Jun 12, 2025

Morris, Kevin, 2025, "Replication Data for: On Fertile Ground: How Racial Resentment Primes White Americans to Believe Fraud Accusations", https://doi.org/10.7910/DVN/S1SF0O, Harvard Dataverse, V1, UNF:6:PVHjEahWdLr89QPmhuY3eg== [fileUNF]

White Americans face a democratic dilemma: remain committed to electoral democracy (which has been historically beneficial for them), or abandon it as non-White groups gain political stature. We argue "fraud" narratives offer White Americans a solution: they can reject specific democratic outcomes, while remaining committed to democracy as an ideal...

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