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Methods for the Design and Administration of Web-based Surveys

Open access
Schleyer, T. K. L., Forrest, J. L.·2000·Journal of the American Medical Informatics Association

Abstract

This paper describes the design, development, and administration of a Web-based survey to determine the use of the Internet in clinical practice by 450 dental professionals. The survey blended principles of a controlled mail survey with data collection through a Web-based database application. The survey was implemented as a series of simple HTML pages and tested with a wide variety of operating environments. The response rate was 74.2 percent. Eighty-four percent of the participants completed the Web-based survey, and 16 percent used e-mail or fax. Problems identified during survey administration included incompatibilities/technical problems, usability problems, and a programming error. The cost of the Web-based survey was 38 percent less than that of an equivalent mail survey. A general formula for calculating breakeven points between electronic and hardcopy surveys is presented. Web-based surveys can significantly reduce turnaround time and cost compared with mail surveys and may enhance survey item completion rates.

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Metadata

Authors
Schleyer, T. K. L., & Forrest, J. L.
Venue
Journal of the American Medical Informatics Association
Published
2000-07-01
Volume
7
Issue
4
Pages
416-425
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W1584034077
Cited by
304
References
0
FWCI
36.34
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Methods for the Design and Administration of Web-based Surveys. https://app.cochat.ai/papers/10.1136/jamia.2000.0070416
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Schleyer, T. K. L., & Forrest, J. L. (2000). Methods for the Design and Administration of Web-based Surveys. Journal of the American Medical Informatics Association. https://doi.org/10.1136/jamia.2000.0070416

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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.