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ERIC Number: EJ1406345
Record Type: Journal
Publication Date: 2023
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1364-5579
EISSN: EISSN-1464-5300
Assessing the Relative Accuracy of Gridded Population Sampling: Results from an Election Survey Experiment
Sarah Staveteig Ford; Matthew Kirwin
International Journal of Social Research Methodology, v26 n6 p707-719 2023
International survey researchers are increasingly turning to a geospatial sampling approach known as gridded population sampling for finer resolution and a more updated sampling frame than conventional census-based sampling. To date, there have been no direct comparisons of accuracy between survey results derived from the two methods. This experiment fielded two parallel public opinion surveys concurrently before Uruguay's 2019 first-round election to compare the accuracy of both probabilistic sampling approaches. Holding other factors constant, we found that the gridded population sample survey performed slightly better than the conventionally drawn census sample survey at predicting election results. The quality of the Uruguayan census frame set a high standard for the gridded population sample, and our experimental results demonstrate that it surpassed it. Given gridded population sampling's additional demonstrated advantages, particularly time savings, these results suggest that it is a promising approach for face-to-face survey sampling in many lower- and middle-income countries.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Uruguay
Grant or Contract Numbers: N/A