Survey response rates: Trends and a validity assessment framework

Survey methodology has been and continues to be a pervasively used data-collection method in social science research. To better understand the state of the science, we first analyze response-rate information reported in 1014 surveys described in 703 articles from 17 journals from 2010 to 2020. Results showed a steady increase in average response rate from 48% in 2005 to 53% in 2010 to 56% in 2015 and 68% in 2020; a marked increase in the number of surveys per published article from 1.27 in 2015 to 1.79 in 2020; and that variables that predict response-rate fluctuations over time are related to research design (e.g. data-collection medium), participant motivation (e.g. incentives), and researcher motivation (i.e. number of surveys per article). Second, we propose complementary information on contemporary response-rate norms and benchmarks with a response-rate validity assessment framework to gather evidence on accuracy of inferences based on a particular response-rate level. Implementing this validation process involves gathering information on the researcher-participant relationship, participant qualifications and motivation, survey length and complexity, and cultural and national context. Future survey research should implement the validity assessment framework in addition to reporting the response-rate value to better indicate a sample's quality, appropriateness, and representativeness.

Automated summary

Survey methodology is widely used in social science research. An analysis of response-rate information from 1014 surveys in 703 articles reveals that the average response rate has steadily increased over time, and the number of surveys per article has also increased. Additionally, a response-rate validity assessment framework is proposed to gather evidence on the accuracy of inferences based on a particular response-rate level.