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How to get better survey data more efficiently

Cohen, Mollie J. and Warner, Zach ORCID: 2021. How to get better survey data more efficiently. Political Analysis 29 (2) , pp. 121-138. 10.1017/pan.2020.20

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A key challenge facing many large, in-person public opinion surveys is ensuring that enumerators follow fieldwork protocols. Implementing “quality control” processes can improve data quality and help ensure the representativeness of the final sample. Yet while public opinion researchers have demonstrated the utility of quality control procedures such as audio capture and geo-tracking, there is little research assessing the relative merits of such tools. In this paper, we present new evidence on this question using data from the 2016/17 wave of the AmericasBarometer study. Results from a large classification task demonstrate that a small set of automated and human-coded variables, available across popular survey platforms, can recover the final sample of interviews that results when a full suite of quality control procedures is implemented. Taken as a whole, our results indicate that implementing and automating just a few of the many quality control procedures available can streamline survey researchers’ quality control processes while substantially improving the quality of their data.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Department of Politics and International Relations (POLIR)
Cardiff Law & Politics
Publisher: Cambridge University Press (CUP)
ISSN: 1047-1987
Date of First Compliant Deposit: 7 February 2020
Date of Acceptance: 30 January 2020
Last Modified: 07 Nov 2023 02:53

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