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 4,535 Results

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
0000_README.txt Jun 12, 2025 - Replication Data for: On Fertile Ground: How Racial Resentment Primes White Americans to Believe Fraud Accusations Plain Text - 786 B - MD5: 4f4db9980c88e60129782a4f5c170db6
00_initialize.R Jun 12, 2025 - Replication Data for: On Fertile Ground: How Racial Resentment Primes White Americans to Believe Fraud Accusations R Syntax - 5.0 KB - MD5: 232066aa08c6ce3ae101282f1ae911c8
01_ces_modules.R Jun 12, 2025 - Replication Data for: On Fertile Ground: How Racial Resentment Primes White Americans to Believe Fraud Accusations R Syntax - 5.4 KB - MD5: 51ff3db704017115290e6266fc951ae5
01_id_tweets.R Jun 12, 2025 - Replication Data for: On Fertile Ground: How Racial Resentment Primes White Americans to Believe Fraud Accusations R Syntax - 3.3 KB - MD5: ef1fd06968628c4d4bb483a6bdb2761c

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 -

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 -