Understanding Nonrespondents to Inform Survey Protocol Design 3 |
|
| Coordinator 1 | Ms Brenda Schafer (Internal Revenue Service) |
| Coordinator 2 | Dr Scott Leary (Internal Revenue Service) |
| Coordinator 3 | Mr Rizwan Javaid (Internal Revenue Service) |
| Coordinator 4 | Mr Pat Langetieg (Internal Revenue Service) |
| Coordinator 5 | Dr Jocelyn Newsome (Westat ) |
Government-sponsored household surveys continue to face historically low response rates (e.g., Groves, 2011; de Leeuw & de Heer, 2002). Although an increase in nonresponse does not necessarily result in an increase in nonresponse bias, higher response rates can help reduce average nonresponse bias (Brick & Tourangeau, 2017).
One method to address nonresponse is to maximize response, but this approach is often at a high cost with mixed success (Tourangeau & Plewes, 2013; Stoop et al, 2010). A variety of intervention strategies have been used including: offering surveys in multiple survey modes; limiting survey length; offering incentives; making multiple, distinct communication attempts; and targeting messaging to the intended audience (e.g., Dillman et al, 2014; Tourangeau, Brick, Lohr and Li, 2017). A second method to address non-response involves imputations and adjustments after data collection is complete. (Kalton & Flores-Cervantes, 2003) However, the effectiveness of this approach largely depends on what auxiliary variables are used in the nonresponse adjustment models.
Although research has been done to understand nonresponse in surveys, there are still many unanswered questions, such as: What demographic characteristics distinguish nonrespondents from respondents? What socio-economic or other barriers may be contributing to a low response rate? Answering these and similar questions may allow us to tailor survey design and administration protocols to overcome specific barriers that lead to nonresponse. Reducing nonresponse may mean fewer adjustments and imputations after data collection.
This session will focus on understanding characteristics of nonrespondents, barriers to survey response, and how knowledge about nonrespondents can guide survey design protocol. Researchers are invited to submit papers, experiments, pilots, and other approaches on any of the following topics:
• Better understanding how nonrespondents differ from respondents.
• Understanding barriers to response for different subgroups.
• Understanding how nonresponse for different subgroups may have changed over time.
• Using knowledge about nonrespondents to design focused intervention strategies. These could include, but are not limited to tailored messaging, tailored modes of administration, distinct forms of follow-up, and shortened surveys.
• Designing survey protocols to increase response from hard-to-reach populations of interest.