The Effect of Communication Emails on Web Survey Response Rate, Representativeness, and Response Bias: Results from a Factorial Randomized Control Trial in a College Student Population

Web surveys are popular in social sciences for reaching a large audience at a low cost and in a short period. However, response rates and nonresponse bias are still issues of concern. Using a factorial randomized control trial design, this study explores whether different communication emails affect response rates, representativeness, and response bias in a web survey of doctoral students enrolled in a U.S. university. A total of 5,539 doctoral students were stratified and randomly assigned to one of six groups. Results showed that none of the interventions increased the overall response rate. Moreover, interventions affect the representativeness of the sample and are associated with response bias.

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Publication Details

Journal
Field Methods
Published
2024-10-04
DOI
https://doi.org/10.1177/1525822x241286341
Citations
1
Primary Topic
Survey Methodology and Nonresponse
Type
article
Field-Weighted Citation Impact
1.13

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article

The Effect of Communication Emails on Web Survey Response Rate, Representativeness, and Response Bias: Results from a Factorial Randomized Control Trial in a College Student Population

Paula Clasing, John González
1 citations
Field Methods
Survey Methodology and Nonresponse
1.13
article

The Effect of Communication Emails on Web Survey Response Rate, Representativeness, and Response Bias: Results from a Factorial Randomized Control Trial in a College Student Population

Paula Clasing, John González
article en
1 citations

Abstract

Web surveys are popular in social sciences for reaching a large audience at a low cost and in a short period. However, response rates and nonresponse bias are still issues of concern. Using a factorial randomized control trial design, this study explores whether different communication emails affect response rates, representativeness, and response bias in a web survey of doctoral students enrolled in a U.S. university. A total of 5,539 doctoral students were stratified and randomly assigned to one of six groups. Results showed that none of the interventions increased the overall response rate. Moreover, interventions affect the representativeness of the sample and are associated with response bias.

Field MethodsVol. 37(4)
Pontificia Universidad Católica de Chile (CL), University of Michigan (US), Millennium Science Initiative (CL)
Horace H. Rackham School of Graduate Studies, University of Michigan
Quality Education
Openalex Percentile: Top 16%
Survey Methodology and Nonresponse
1.13
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