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Self-Administered Field Surveys on Sensitive Topics

Published online by Cambridge University Press:  10 June 2020

Matthew Nanes Open the ORCID record for Matthew Nanes [Opens in a new window]  and
Dotan Haim
Matthew Nanes
Affiliation:
Saint Louis University, St. Louis, MO, USA, e-mail: [email protected], Twitter: @MatthewJNanes
Dotan Haim
Affiliation:
Florida State University, Tallahassee, FL, USA, e-mail: [email protected], Twitter: @HaimDotan
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Abstract

Research on sensitive topics uses a variety of methods to combat response bias on in-person surveys. Increasingly, researchers allow respondents to self-administer responses using electronic devices as an alternative to more complicated experimental approaches. Using an experiment embedded in a survey in the rural Philippines, we test the effects of several such methods on response rates and falsification. We asked respondents a sensitive question about reporting insurgents to the police alongside a nonsensitive question about school completion. We randomly assigned respondents to answer these questions either verbally, through a “forced choice” experiment, or through self-enumeration. We find that self-enumeration significantly reduced nonresponse compared to direct questioning, but find little evidence of differential rates of falsification. Forced choice yielded highly unlikely estimates, which we attribute to nonstrategic falsification. These results suggest that self-administered surveys can be effective for measuring sensitive topics on surveys when response rates are a priority.

Keywords

surveysconflictsurvey experimentsPhilippines
Type
Research Article
Information
Journal of Experimental Political Science , Volume 8 , Issue 2 , Summer 2021 , pp. 185 - 194
Copyright
© The Experimental Research Section of the American Political Science Association 2020

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Footnotes

Nico Ravanilla played a substantial role in designing and implementing the survey. The authors thank Konstantin Ash, Kolby Hanson, Connor Huff, and Steven Rogers for their comments. This work was supported by Evidence in Governance and Politics Metaketa IV. Both authors received significant financial support for their work through Evidence in Governance and Politics, and the University of California San Diego Policy Design and Evaluation Lab. Additionally, Nanes received significant financial support from The Asia Foundation unrelated to this research, and Haim received significant financial support from the United Nations Development Program unrelated to this research. The data and code to replicate all analyses in this article are available at the Journal of Experimental Political Science Dataverse within the Harvard Dataverse Network at https://doi.org/10.7910/DVN/GL28QD.

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