2023/03/17 by Nicholas Biddle, Kate Sollis · 1 voice
Mathematics · Social Sciences · Computer Science · #COVID-19 epidemiological studies #Survey Methodology and Nonresponse #COVID-19 Digital Contact Tracing
paper · doi:10.1332/175795921x16730110266038
openalex publication_date 2023/03/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/02
A large-scale crisis, such as the COVID-19 pandemic, has the potential to affect non-response in cross-sectional and longitudinal surveys. This study utilises a longitudinal survey, conducted prior to and during the COVID-19 pandemic, to examine the factors associated with participation in longitudinal surveys during the COVID-19 period, and how this has changed from prior to the pandemic. We find that a number of demographic groups are more likely to be non-responders to COVID-19 surveys, despite having completed pre-COVID surveys, as well as a number of other economic and personality factors. Reassuringly though, there were many more factors that did not have an association. The findings also highlight that two simple questions (with a low time cost) on subjective survey experience early in the pandemic were highly useful in predicting future survey participation. These findings can help to support survey practitioners and data collection companies to develop more robust response improvement strategies during the COVID-19 period.