Perceptions of Electoral Integrity Dataverse

An expert survey of Perceptions of Electoral Integrity designed to provide a comprehensive, impartial, and independent source of information about whether national elections meet internationally-recognized standards.

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1 to 10 of 24 Results

Perceptions of Electoral Integrity, (PEI-11.0) Jul 2, 2025 Garnett, Holly Ann; James, Toby S.; Caal-Lam, Sofia, 2025, "Perceptions of Electoral Integrity, (PEI-11.0)", https://doi.org/10.7910/DVN/EDY2V0, Harvard Dataverse, V1, UNF:6:0MPrJMXq9iz3OrFVOtnvHg== [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-11.0 cumulative release covers 64...
Perceptions of Electoral Integrity-UK, (PEI-UK 2.0) Oct 25, 2024 James, Toby S.; Garnett, Holly Ann; Caal-Lam, Sofia, 2024, "Perceptions of Electoral Integrity-UK, (PEI-UK 2.0)", https://doi.org/10.7910/DVN/G4RWOS, Harvard Dataverse, V1 This codebook describes an expert survey on Perceptions of Electoral Integrity (PEI). The original PEI survey asks experts to evaluate electoral integrity after national-level elections around the world. However, the Project has also occasionally provided data on sub-national elections. This codebook describes all variables included in the dataset...
Perceptions of Electoral Integrity, (PEI-10.0) Jul 19, 2024 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...
Perceptions of Electoral Integrity, (PEI-9.0) Jun 30, 2023 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...
Perceptions of Electoral Integrity, (PEI-8.5) Mar 29, 2023 Garnett, Holly Ann; James, Toby S.; MacGregor, Madison; Caal-Lam, Sofia, 2023, "Perceptions of Electoral Integrity, (PEI-8.5)", https://doi.org/10.7910/DVN/KMZIU4, Harvard Dataverse, V1, UNF:6:fc0EDJs+JluAQ2YFxNrMNg== [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-8.5 cumulative release covers 497...
Perceptions of Electoral Integrity, (PEI-8.0) May 18, 2022 Garnett, Holly Ann; James, Toby S.; MacGregor, Madison, 2022, "Perceptions of Electoral Integrity, (PEI-8.0)", https://doi.org/10.7910/DVN/YSNYXD, Harvard Dataverse, V1, UNF:6:lINJ6KG6BcEwGIXz7tM4Yg== [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-8.0 cumulative release covers 480...
Perceptions of Electoral Integrity, (PEI-7.0) May 11, 2019 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...
Perceptions of Electoral Integrity - US 2018 (PEI_US_2018) Apr 28, 2019 Norris, Pippa; Grömping, Max; Garnett, Holly Ann, 2019, "Perceptions of Electoral Integrity - US 2018 (PEI_US_2018)", https://doi.org/10.7910/DVN/METZ3U, Harvard Dataverse, V1, UNF:6:7JBHz/gcYX7XGScu+wgbSw== [fileUNF] This data-set by the Electoral Integrity Project evaluates the integrity of the US congressional election held on 6 November 2018. Based on a survey collecting the views of US-based political scientists, this research provides independent and reliable evidence to assess whether the 2018 congresional election met international standards of electoral...
Perceptions of Electoral Integrity, (PEI-6.5) Aug 10, 2018 Norris, Pippa; Wynter, Thomas; Cameron, Sarah, 2018, "Perceptions of Electoral Integrity, (PEI-6.5)", https://doi.org/10.7910/DVN/VEWJQI, Harvard Dataverse, V1, UNF:6:aboFTe+X2B5wXrtsrmKLig== [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-6.5 cumulative release covers 310...
Perceptions of Electoral Integrity, (PEI-6.0) Mar 1, 2018 Norris, Pippa; Wynter, Thomas; Cameron, Sarah, 2018, "Perceptions of Electoral Integrity, (PEI-6.0)", https://doi.org/10.7910/DVN/Q6UBTH, Harvard Dataverse, V1, UNF:6:FRhhqKiwN6fQXqdTvQkaTg== [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-6.0 cumulative release covers 285...

Perceptions of Electoral Integrity, (PEI-11.0)

Jul 2, 2025

Garnett, Holly Ann; James, Toby S.; Caal-Lam, Sofia, 2025, "Perceptions of Electoral Integrity, (PEI-11.0)", https://doi.org/10.7910/DVN/EDY2V0, Harvard Dataverse, V1, UNF:6:0MPrJMXq9iz3OrFVOtnvHg== [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-11.0 cumulative release covers 64...

Perceptions of Electoral Integrity-UK, (PEI-UK 2.0)

Oct 25, 2024

James, Toby S.; Garnett, Holly Ann; Caal-Lam, Sofia, 2024, "Perceptions of Electoral Integrity-UK, (PEI-UK 2.0)", https://doi.org/10.7910/DVN/G4RWOS, Harvard Dataverse, V1

This codebook describes an expert survey on Perceptions of Electoral Integrity (PEI). The original PEI survey asks experts to evaluate electoral integrity after national-level elections around the world. However, the Project has also occasionally provided data on sub-national elections. This codebook describes all variables included in the dataset...

Perceptions of Electoral Integrity, (PEI-10.0)

Jul 19, 2024

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]

Perceptions of Electoral Integrity, (PEI-9.0)

Jun 30, 2023

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]

Perceptions of Electoral Integrity, (PEI-8.5)

Mar 29, 2023

Garnett, Holly Ann; James, Toby S.; MacGregor, Madison; Caal-Lam, Sofia, 2023, "Perceptions of Electoral Integrity, (PEI-8.5)", https://doi.org/10.7910/DVN/KMZIU4, Harvard Dataverse, V1, UNF:6:fc0EDJs+JluAQ2YFxNrMNg== [fileUNF]

Perceptions of Electoral Integrity, (PEI-8.0)

May 18, 2022

Garnett, Holly Ann; James, Toby S.; MacGregor, Madison, 2022, "Perceptions of Electoral Integrity, (PEI-8.0)", https://doi.org/10.7910/DVN/YSNYXD, Harvard Dataverse, V1, UNF:6:lINJ6KG6BcEwGIXz7tM4Yg== [fileUNF]

Perceptions of Electoral Integrity, (PEI-7.0)

May 11, 2019

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]

Perceptions of Electoral Integrity - US 2018 (PEI_US_2018)

Apr 28, 2019

Norris, Pippa; Grömping, Max; Garnett, Holly Ann, 2019, "Perceptions of Electoral Integrity - US 2018 (PEI_US_2018)", https://doi.org/10.7910/DVN/METZ3U, Harvard Dataverse, V1, UNF:6:7JBHz/gcYX7XGScu+wgbSw== [fileUNF]

This data-set by the Electoral Integrity Project evaluates the integrity of the US congressional election held on 6 November 2018. Based on a survey collecting the views of US-based political scientists, this research provides independent and reliable evidence to assess whether the 2018 congresional election met international standards of electoral...

Perceptions of Electoral Integrity, (PEI-6.5)

Aug 10, 2018

Norris, Pippa; Wynter, Thomas; Cameron, Sarah, 2018, "Perceptions of Electoral Integrity, (PEI-6.5)", https://doi.org/10.7910/DVN/VEWJQI, Harvard Dataverse, V1, UNF:6:aboFTe+X2B5wXrtsrmKLig== [fileUNF]

Perceptions of Electoral Integrity, (PEI-6.0)

Mar 1, 2018

Norris, Pippa; Wynter, Thomas; Cameron, Sarah, 2018, "Perceptions of Electoral Integrity, (PEI-6.0)", https://doi.org/10.7910/DVN/Q6UBTH, Harvard Dataverse, V1, UNF:6:FRhhqKiwN6fQXqdTvQkaTg== [fileUNF]

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