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Improving Data Quality in Face-to-Face Survey Research

Published online by Cambridge University Press:  02 October 2019

Carolyn Logan ,
Pablo Parás ,
Michael Robbins Open the ORCID record for Michael Robbins [Opens in a new window]  and
Elizabeth J. Zechmeister Open the ORCID record for Elizabeth J. Zechmeister [Opens in a new window]
Carolyn Logan
Affiliation:
Michigan State University
Pablo Parás
Affiliation:
Data OPM
Michael Robbins
Affiliation:
Princeton University
Elizabeth J. Zechmeister
Affiliation:
Vanderbilt University
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Abstract

Data quality in survey research remains a paramount concern for those studying mass political behavior. Because surveys are conducted in increasingly diverse contexts around the world, ensuring that best practices are followed becomes ever more important to the field of political science. Bringing together insights from surveys conducted in more than 80 countries worldwide, this article highlights common challenges faced in survey research and outlines steps that researchers can take to improve the quality of survey data. Importantly, the article demonstrates that with the investment of the necessary time and resources, it is possible to carry out high-quality survey research even in challenging environments in which survey research is not well established.

Type
Article
Information
PS: Political Science & Politics , Volume 53 , Issue 1 , January 2020 , pp. 46 - 50
Copyright
Copyright © American Political Science Association 2019 

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Footnotes

This is an updated version of the original article. For details please see the notice at https://doi.org/10.1017/S1049096519001689

References

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