Perceptions of Electoral Integrity, (PEI-9.0)

Data source: Garnett, James and MacGregor

Go to the original dataset webpage

Description:

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 national parliamentary and presidential contests held worldwide in 169 countries from 1 July 2012 to 14 December 2022. For each contest, approximately 40 election experts receive an electronic invitation to fill the survey. The survey includes assessments from 4,981 election experts, with a 2022 response rate of 11%. The study collects 49 indicators to compare elections. These indicators are clustered to evaluate eleven stages in the electoral cycle as well as generating an overall summary Perception of Electoral Integrity (PEI) 100-point index and comparative ranking. The datasets are available for analysis at three levels: COUNTRY-level (169 observations); ELECTION-level (547 observations), and also EXPERT-level (4,981 observations).

Please note that for the QoG Data compilations, only three indicators are included: "Perception of Electoral Integrity Index", "Perception of Electoral Integrity Index Type" and "Electoral Integrity Rating".

Last updated by source: 2023-06-30

Dataset type: Time-Series
Dataset level: Country

Citation:

When using this dataset, please cite as:
• Garnett, H. A., James, T. S., MacGregor, M., & Caal-Lam, S. (2023). Perceptions of Electoral Integrity, (PEI-9.0). Harvard Dataverse. https://doi.org/10.7910/DVN/2MFQ9K



Variables in this dataset:

Electoral Integrity Rating
QoG Code: pei_eir

Overall how would you rate the integrity of this election on a scale from 1 (very poor) to 10 (very good)?

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Perception of Electoral Integrity Index
QoG Code: pei_peii

The PEI index is designed to provide an overall summary evaluation of expert perceptions that an election meets international standards and global norms. It is generated at the individual level using experts' answers to the 49 substantive variables below. Therefore, an Index score is missing if an expert does not answer a question. The 49 scores are summed and then standardized to a 100 point scale.

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Perception of Electoral Integrity Index Type
QoG Code: pei_peit

Classification of the PEI Index on five categories. 1. Very Low 2. Low 3. Moderate 4. High 5. Very High

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