Using Survey Participants to Estimate the Impact of Nonparticipation
Open accessAbstract
We consider models that underlie two proposals to estimate nonparticipation bias. The first model posits a “continuum of resistance,” placing people who were interviewed during the first contact on one end of the continuum and nonparticipants on the other. The second model assumes that there are different classes of nonparticipants and that similar classes can be found among participants; it then uses groups of participants thought to be like nonparticipants to estimate the characteristics of nonparticipants. We examine the justification for these models of the relationship between participants and nonparticipants and consider how well proposed methods based on these models describe nonparticipants and the impact of nonparticipation on survey estimates. The case we analyze is estimates of means of child support awards and payments in Wisconsin. We find that neither model is successful and that the versions of the methods we use do not detect the true extent of nonparticipation error in estimates based on the unadjusted sample mean. This failure occurs both for an external measure that is not contaminated with response errors and for self-reports. But response errors, which are not considered in the models we have found in the literature, substantially worsen matters.
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Late respondents are more similar to non-respondents than to early respondents.
“The rationale behind such an analysis is that late respondents are more similar to non-respondents than to early respondents [28].”
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Baek, M. S., Kim, H., Han, K., Kwon, H.-S., Na, H. K., Lyoo, C. H., & Cho, H. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.883549 · Cited by 36 · see citing works
Crul, M., Schnell, P., Herzog-Punzenberger, B., Wilmes, M., Slootman, M. W., & Gómez, R. A. (2013) · Amsterdam University Press eBooks · doi:10.1017/9789048516926.005 · Cited by 34 · see citing works
- Authors
- Lin, I.-F., & Schaeffer, N. C.
- Affiliations
- University of Wisconsin–Madison (US)
- Venue
- Public Opinion Quarterly
- Publisher
- Oxford University Press (OUP)
- Published
- 1995
- Volume
- 59
- Issue
- 2
- Pages
- 236
- ISSN
- 0033-362X (ISSN-L)
- OpenAlex
- W2132606439
- Cited by
- 356
- References
- 22
- Citations by year
- 2026: 9 · 2025: 5 · 2024: 25 · 2023: 14 · 2022: 11 · 2021: 12 · 2020: 14 · 2019: 23 · 2018: 17 · 2017: 24 · 2016: 19 · 2015: 18 · 2014: 18 · 2013: 22 · 2012: 23
- FWCI
- 10.25
- Type
- journal article
- Language
- en
- Open access
- green
- www.irp.wisc.edu
- Locations
- Public Opinion Quarterly (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
- Keywords
- survey nonresponse, response errors, child support payments, Wisconsin, self-report
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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