The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Research on Mail Surveys
Overview
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Citations
Cites
The Problem of Non-Response in Sample Surveys
Hansen, M. H., & Hurwitz, W. N. (1946) · Journal of the American Statistical Association · doi:10.1080/01621459.1946.10501894 · Cited by 599
Validity of Responses to Survey Questions
Parry, H. J., & Crossley, H. M. (1950) · Public Opinion Quarterly · doi:10.1086/266150 · Cited by 217
Factors influencing questionnaire returns from former university students.
Pace, C. (1939) · Journal of Applied Psychology · doi:10.1037/h0063286 · Cited by 112
Controlling Bias in Mail Questionnaires
Clausen, J. A., & Ford, R. N. (1947) · Journal of the American Statistical Association · doi:10.1080/01621459.1947.10501943 · Cited by 100
Increasing the Responses to Mail Questionnaires: A Research Study
Kephart, W. M., & Bressler, M. (1958) · Public Opinion Quarterly · doi:10.1086/266773 · Cited by 78
The Problem of Bias in Mail Returns: A Solution
Ferber, R. C. (1948) · Public Opinion Quarterly · doi:10.1086/266009 · Cited by 69
A Case For - and Against - Mail Questionnaires
Wallace, D. (1954) · Public Opinion Quarterly · doi:10.1086/266484 · Cited by 62
Sletto, R. F. (1940) · American Sociological Review · doi:10.2307/2083634 · Cited by 62
Suchman, E. A., & McCandless, B. (1940) · Journal of Applied Psychology · doi:10.1037/h0063437 · Cited by 61
Can the Mail-Back Bias Contribute to a Study's Validity?
Larson, R. F., & Catton, W. R. (1959) · American Sociological Review · doi:10.2307/2089435 · Cited by 51
Cited by
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
The Design and Administration of Mail Surveys
Dillman, D. A. (1991) · Annual Review of Sociology · doi:10.1146/annurev.so.17.080191.001301 · Cited by 1,311
Mail Surveys and Response Rates: A Literature Review
Kanuk, L., & Berenson, C. (1975) · Journal of Marketing Research · doi:10.2307/3151093 · Cited by 855
Analyzing Duration Times in Marketing: Evidence for the Effectiveness of Hazard Rate Models
Helsen, K., & Schmittlein, D. C. (1993) · Marketing Science · doi:10.1287/mksc.12.4.395 · Cited by 299
Metadata
- Authors
- Scott, C.
- Venue
- Journal of the Royal Statistical Society. Series A (General)
- Publisher
- JSTOR
- Published
- 1961
- Volume
- 124
- Issue
- 2
- Pages
- 143
- ISSN
- 0035-9238 (ISSN-L)
- OpenAlex
- W2800865258
- Cited by
- 258
- References
- 36
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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- CoChat. (2026). Citation check: Research on Mail Surveys. https://app.cochat.ai/papers/10.2307/2984129
- The paper
- Scott, C. (1961). Research on Mail Surveys. Journal of the Royal Statistical Society. Series A (General). https://doi.org/10.2307/2984129
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.
