The DOI matches its Crossref record.
Investigating non-response bias in mail surveys.
Open accessAbstract
Losses in follow-up that are biased with respect to outcome invalidate the results. There are many ways of dealing with non-response in follow-up studies. Three separate methods were used to investigate a potential bias in a mail survey of 2471 disabled people. At a response rate of 84%, the non-respondents were significantly different from the respondents with respect to the outcome, return to work and vocational training. The success rate in terms of the outcome was negatively related to the number of reminders. Significant differences were found in response rates according to age, social class, impairments, previous employment record, and completion of rehabilitation courses. There is no safe level of response rates below 100%. However small the non-response, a possible bias as a result of it must be investigated.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Nonresponse rates and nonresponse bias in household surveys
Groves, R. M. (2006) · Public Opinion Quarterly · doi:10.1093/poq/nfl033 · Cited by 2,420
Eating disorder examination questionnaire (EDE-Q): norms for young adult women
Mond, J. M., Hay, P. J., Rodgers, B., & Owen, C. (2006) · Behaviour Research and Therapy · doi:10.1016/j.brat.2004.12.003 · Cited by 681
Beiderbeck, D., Frevel, N., von der Gracht, H. A., Schmidt, S. L., & Schweitzer, V. M. (2021) · MethodsX · doi:10.1016/j.mex.2021.101401 · Cited by 642
Non-response and related factors in a nation-wide health survey
Korkeila, K., Suominen, S., Ahvenainen, J., Ojanlatva, A., Rautava, P., Helenius, H., & Koskenvuo, M. (2001) · European Journal of Epidemiology · doi:10.1023/a:1020016922473 · Cited by 512
Attitude and Self-reported Practice Regarding Prognostication in a National Sample of Internists
Christakis, N. A., & Iwashyna, T. J. (1998) · Archives of Internal Medicine · doi:10.1001/archinte.158.21.2389 · Cited by 434
Metadata
- Authors
- Sheikh, K., & Mattingly, S.
- Venue
- Journal of Epidemiology and Community Health
- Publisher
- BMJ
- Published
- 1981-12
- Volume
- 35
- Issue
- 4
- Pages
- 293-296
- ISSN
- 0141-7681 (ISSN-L)
- 0143-005X
- 1470-2738
- OpenAlex
- W2015816687
- Cited by
- 230
- References
- 0
- FWCI
- 11.63
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Investigating non-response bias in mail surveys. https://app.cochat.ai/papers/10.1136/jech.35.4.293
- The paper
- Sheikh, K., & Mattingly, S. (1981). Investigating non-response bias in mail surveys. Journal of Epidemiology and Community Health. https://doi.org/10.1136/jech.35.4.293
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.