The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Impact of Nonresponse Rates on Nonresponse Bias: A Meta-Analysis
Open accessAbstract
Fifty-nine methodological studies were designed to estimate the magnitude of nonresponse bias in statistics of interest. These studies use a variety of designs: sampling frames with rich variables, data from administrative records matched to sample case, use of screening-interview data to describe nonrespondents to main interviews, followup of nonrespondents to initial phases of field effort, and measures of behavior intentions to respond to a survey. This permits exploration of which circumstances produce a relationship between nonresponse rates and nonresponse bias and which, do not. The predictors are design features of the surveys, characteristics of the sample, and attributes of the survey statistics computed in the surveys.
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Citations
Cites
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Nonresponse rates and nonresponse bias in household surveys
Groves, R. M. (2006) · Public Opinion Quarterly · doi:10.1093/poq/nfl033 · Cited by 2,420
Self-citationUsing Survey Participants to Estimate the Impact of Nonparticipation
Lin, I.-F., & Schaeffer, N. C. (1995) · Public Opinion Quarterly · doi:10.1086/269471 · Cited by 356
Nonresponse in a follow-up to a representative telephone survey of adult drinkers.
Wild, T. C., Cunningham, J., & Adlaf, E. (2001) · Journal of Studies on Alcohol · doi:10.15288/jsa.2001.62.257 · Cited by 50
Cited by
Factors affecting response rates of the web survey: A systematic review
Fan, W., & Yan, Z. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.10.015 · Cited by 1,521
Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool
Pettit, T. J., Croxton, K. L., & Fiksel, J. (2013) · Journal of Business Logistics · doi:10.1111/jbl.12009 · Cited by 1,080
Improving the content validity of the mixed methods appraisal tool: a modified e-Delphi study
Hong, Q. N., Pluye, P., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M.-P., Griffiths, F., Nicolau, B., et al. (2019) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2019.03.008 · Cited by 1,082
“This concurs with studies reporting a weak association between response rate and nonresponse bias [28].”
ResultEntrepreneurial Passion as Mediator of the Self–Efficacy to Persistence Relationship
Cardon, M. S., & Kirk, C. P. (2015) · Entrepreneurship Theory and Practice · doi:10.1111/etap.12089 · Cited by 677
Why Sleep Matters—The Economic Costs of Insufficient Sleep: A Cross-Country Comparative Analysis
Hafner, M., Štěpánek, M., Taylor, J., Troxel, W., & Stolk, C. V. (2016) · Rand health quarterly · doi:10.7249/rhq-06-04-11 · Cited by 623
Metadata
- Authors
- Groves, R. M., & Peytcheva, E.
- Venue
- Public Opinion Quarterly
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-05-02
- Volume
- 72
- Issue
- 2
- Pages
- 167-189
- ISSN
- 0033-362X (ISSN-L)
- 1537-5331
- OpenAlex
- W2138706729
- Cited by
- 1,434
- References
- 4
- FWCI
- 156.81
- Type
- journal article
- Language
- en
- Open access
- green
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