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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May 11, 2019 - Perceptions of Electoral Integrity Dataverse
Norris, Pippa; Grömping, Max, 2019, "Perceptions of Electoral Integrity, (PEI-7.0)", https://doi.org/10.7910/DVN/PDYRWL, Harvard Dataverse, V2, UNF:6:2wnukYraCZzg+gojPE/Ijg== [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-7.0 cumulative release covers 336...
Adobe PDF - 781.6 KB - MD5: 5e5b8025fa1880b8554cca463157c59a
Tabular Data - 256.9 KB - 223 Variables, 166 Observations - UNF:6:3wpVp0fORVOLVZeP8vVgzQ==
Tabular Data - 390.3 KB - 223 Variables, 166 Observations - UNF:6:3wpVp0fORVOLVZeP8vVgzQ==
Tabular Data - 270.3 KB - 223 Variables, 166 Observations - UNF:6:IPBfctqb48zIF3KZ3Q2VDA==
Tabular Data - 371.9 KB - 223 Variables, 166 Observations - UNF:6:3wpVp0fORVOLVZeP8vVgzQ==
MS Excel Spreadsheet - 233.4 KB - MD5: c63b9ed72fe0a3ff4b5c193244736557
R Data - 933.4 KB - MD5: 3beac8e71257dc4243db9c5d873c21c9
Tabular Data - 604.7 KB - 352 Variables, 337 Observations - UNF:6:wg38Xv2WZYxNqMGKIoC+6Q==
Tabular Data - 637.4 KB - 352 Variables, 337 Observations - UNF:6:e8s9f0kMPY7iTH388JfBjg==
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