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Part 1: Document Description
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Citation |
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Title: |
Perceptions of Electoral Integrity-UK, (PEI-UK 2.0) |
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Identification Number: |
doi:10.7910/DVN/G4RWOS |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2024-10-25 |
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Version: |
1 |
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Bibliographic Citation: |
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 |
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Citation |
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Title: |
Perceptions of Electoral Integrity-UK, (PEI-UK 2.0) |
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Identification Number: |
doi:10.7910/DVN/G4RWOS |
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Authoring Entity: |
James, Toby S. (University of East Anglia. School of Politics, Philosophy, Language and Communication Studies) |
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Garnett, Holly Ann (Royal Military College. Department of Political Science and Economics) |
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Caal-Lam, Sofia (Royal Military College. Queen's University. Department of Political Science and Economics) |
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Other identifications and acknowledgements: |
Caal-Lam, Sofia |
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Producer: |
Electoral Integrity Project |
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Date of Production: |
2023 |
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Grant Number: |
890-2020-0006 |
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Distributor: |
Harvard Dataverse |
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Distributor: |
Electoral Integrity Project |
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Access Authority: |
Electoral Integrity Project |
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Depositor: |
Caal-Lam, Sofia |
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Date of Deposit: |
2024-10-25 |
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Date of Distribution: |
2024-10-25 |
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Series Information: |
Perceptions of Electoral Integrity Index, United Kingdom. The first study, PEI-UK 1.0, was first released in 2015. |
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Holdings Information: |
https://doi.org/10.7910/DVN/G4RWOS |
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Study Scope |
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Keywords: |
Social Sciences, elections, electoral integrity, UK, United Kingdom, Electoral Integrity Project, Perceptions of Electoral Integrity, PEI, electoral fraud, politics, voting behaviour |
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Topic Classification: |
Elections |
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Abstract: |
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 release of October 2024 of the most recent subnational elections in the UK (release PEI_UK_2.0). This study is conducted by Toby S. James, Holly Ann Garnett, and Sofia Caal-Lam for the Electoral Integrity Project based at the Royal Military College of Canada, Queen’s University, and the University of East Anglia. This survey was originally designed and conducted by Pippa Norris and the Electoral Integrity Project team at the University of Sydney and Harvard University (2012-2018). The dataset is drawn from a survey of 120 expert assessments of electoral integrity across sub-national units in the United Kingdom. The elections were the elections to the Scottish Parliament on 6 May 2021, the Senedd Cymru/Welsh Parliament on 6 May 2021 and the Northern Ireland Assembly on 5 May 2022. To operationalize the concept of electoral integrity, the PEI asks experts to evaluate elections using 62 indicators, grouped into eleven categories reflecting the whole electoral cycle. Two files are released in PEI_UK 2.0: an EXPERT-level file (38 observations) and an ELECTION-level file (3 observations). Each dataset can be downloaded in the EXCEL formats. |
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Time Period: |
2021-05-06-2021-05-062022-05-05-2022-05-05 |
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Date of Collection: |
2023-10-30-2023-11-21 |
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Country: |
United Kingdom, United Kingdom, United Kingdom |
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Geographic Coverage: |
Scotland, Northern Ireland, Wales |
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Unit of Analysis: |
PEI asks experts to evaluate elections using 62 indicators, grouped into four concept-based indices. |
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Universe: |
Experts - an expert is defined in this survey as a political scientist (or social scientist in a related discipline such as law, sociology, economics, anthropology, mathematics, or statistics) who has published on (or who has other demonstrated knowledge of) the electoral process in a particular country. Specifically, demonstrated knowledge is defined by the following criteria: (1) membership of a relevant research group, professional network, or organized section of such a group; (2) existing publications on electoral or other country-specific topics in books, academic journals, or conference papers; and/or (3) employment at a university or college as a teacher. Around forty experts per country were contacted for each election, including both domestic and international experts. The domestic/international distinction was made based on institutional affiliation, citizenship, and country of residence. |
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Kind of Data: |
survey data |
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Methodology and Processing |
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Time Method: |
Respondents are contacted approximately one month after the date of a national election in their country of expertise. One reminder was sent, approximately one month after the first invitation. Respondents completed the online questionnaire lasting approximately 15 minutes. |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Studies |
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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] |
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Related Publications |
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Citation |
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Title: |
Garnett, Holly Ann, Toby S. James, and Sofia Caal-Lam. 2024. Year in Elections Global Report 2024. The Electoral Integrity Project. |
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Bibliographic Citation: |
Garnett, Holly Ann, Toby S. James, and Sofia Caal-Lam. 2024. Year in Elections Global Report 2024. The Electoral Integrity Project. |
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Label: |
PEI_UK_2.0 Codebook.pdf |
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Text: |
Codebook describing the PEI UK 2.0 data |
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Notes: |
application/pdf |
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Label: |
PEI_UK_Expert.xlsx |
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Text: |
PEI UK 2.0, data at the expert level, in .xlsx format |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
PEI_UK_Subnat.xlsx |
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Text: |
PEI UK 2.0, data at the sub-national level, in .xlsx format |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |