An independent academic project founded in 2012, the Electoral Integrity Project addresses three questions: How and when do elections fail throughout the electoral cycle? What are the consequences of failed elections, such as for security, accessibility and trust? And what can be done to mitigate these problems, based on academic evidence? The Electoral Integrity Project produces innovative and policy-relevant research comparing elections worldwide.
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11 to 20 of 260 Results
Jul 19, 2024 - Perceptions of Electoral Integrity Dataverse
Garnett, Holly Ann; James, Toby S.; Caal-Lam, Sofia, 2024, "Perceptions of Electoral Integrity, (PEI-10.0)", https://doi.org/10.7910/DVN/FQ5ECC, Harvard Dataverse, V1, UNF:6:tI5veRV9TUuBAAOMlgUsRA== [fileUNF]
This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-10.0 cumulative release covers 58...
Adobe PDF - 1018.6 KB - MD5: 80ed4d0fa186728d79267b2579212d76
Codebook describing the PEI 10.0 data
Tabular Data - 271.0 KB - 229 Variables, 586 Observations - UNF:6:OXo1Mh3ss3AheCye7c/Prw==
PEI 10.0 data at the election level, in .csv format
Tabular Data - 627.0 KB - 229 Variables, 586 Observations - UNF:6:NlWEfyqq4dhj3DNzpUuAEQ==
PEI 10.0 data at the election level, in STATA data format
MS Excel Spreadsheet - 650.8 KB - MD5: ca86bb4fce26e2fa0d74d5276bb2d78c
PEI 10.0 data at the election level, in .xlsx format
Tabular Data - 8.1 MB - 275 Variables, 5230 Observations - UNF:6:z+NnKzYwpQe66Jfi0pcbew==
PEI 10.0 data at the expert level, in .csv format
Tabular Data - 3.8 MB - 275 Variables, 5230 Observations - UNF:6:ggx+87m2EhWS5QyqcEf1Zw==
PEI 10.0 data at the expert level, in STATA data format
MS Excel Spreadsheet - 7.0 MB - MD5: e38b43060d5641bc864fe21805fd097f
PEI 10.0 data at the expert level, in .xlsx format
Jun 30, 2023 - Perceptions of Electoral Integrity Dataverse
Garnett, Holly Ann; James, Toby S.; MacGregor, Madison; Caal-Lam, Sofia, 2023, "Perceptions of Electoral Integrity, (PEI-9.0)", https://doi.org/10.7910/DVN/2MFQ9K, Harvard Dataverse, V1, UNF:6:spNKXn/mJ6i0X7PJCsYXsg== [fileUNF]
This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-9.0 cumulative release covers 547...
Adobe PDF - 916.0 KB - MD5: 1240de4ecd47de6202a1fb74a13cb907
Codebook describing the PEI 9.0 data
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