The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Mail Surveys for Election Forecasting? An Evaluation of the Columbus Dispatch Poll
Abstract
Because of slow turnaround time and typically low response rates, mail surveys have generally been considered of little value in election forecasting. However, statewide mail surveys conducted by the Columbus Dispatch newspaper since 1980 have made remarkably accurate forecasts of Ohio election outcomes. In comparison to statewide surveys by two other organizations employing conventional telephone interview methods, the mail surveys were consistently more accurate and were generally less susceptible to sources of inaccuracy such as high rolloff and low publicity. The mail survey's advantage is attributable at least in part to larger sample sizes, sampling and response procedures that yielded more representative samples of voters, lack of the need to allocate undecided respondents, and superior questionnaire design. These findings suggest that mail surveys not only may be viable alternatives to telephone surveys but may actually be superior to them under some conditions. Further-more, these results demonstrate that surveys with low response rates are not necessarily low in validity.
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
Cites
Why the 1936 Literary Digest Poll Failed
Squire, P. (1988) · Public Opinion Quarterly · doi:10.1086/269085 · Cited by 164
Cited by
Krosnick, J. A. (1999) · Annual Review of Psychology · doi:10.1146/annurev.psych.50.1.537 · Cited by 1,852
Self-citationRacial Threat and Punitive School Discipline
Welch, K., & Payne, A. A. (2010) · Social Problems · doi:10.1525/sp.2010.57.1.25 · Cited by 445
Gong, B., Nugent, J. P., Guest, W., Parker, W., Chang, P. J., Khosa, F., & Nicolaou, S. (2019) · Academic Radiology · doi:10.1016/j.acra.2018.10.007 · Cited by 325
Thousands of AI Authors on the Future of AI
Grace, K., Sandkühler, J. F., Stewart, H., Weinstein-Raun, B., Thomas, S., Stein-Perlman, Z., Salvatier, J., Brauner, J., & Korzekwa, R. C. (2025) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.19087 · Cited by 201
Adverse childhood experiences are associated with spontaneous preterm birth: a case-control study
Christiaens, I., Hegadoren, K., & Olson, D. M. (2015) · BMC Medicine · doi:10.1186/s12916-015-0353-0 · Cited by 130
Metadata
- Authors
- Visser, P. S., Krosnick, J. A., Marquette, J., & Curtin, M.
- Venue
- Public Opinion Quarterly
- Publisher
- Oxford University Press (OUP)
- Published
- 1996
- Volume
- 60
- Issue
- 2
- Pages
- 181
- ISSN
- 0033-362X (ISSN-L)
- OpenAlex
- W2104898625
- Cited by
- 313
- References
- 1
- FWCI
- 8.19
- 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.
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
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.