The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Response Effects in the Electronic Survey
Abstract
This report examines the electronic survey as a research tool. In an electronic survey, respondents use a text processing program to self-administer a computer-based questionnaire. As more people have access to computers, electronic surveys may become widespread. The electronic survey can reduce processing costs because it automates the transformation of raw data into computer-readable form. It can combine advantages of interviews (e.g., prompts, complex branching) with those of paper mail surveys (e.g., standardization, anonymity). An important issue is how the electronic survey affects the responses of people who use it. We conducted an experimental sample survey on health attitudes, behaviors, and personal traits using two forms of administration: electronic and paper mail. Closed-end responses in the electronic survey were less socially desirable and tended to be more extreme than were responses in the paper survey. Open-ended responses that could be edited by respondents were relatively long and disclosing. These findings are consistent with other research on computer-mediated communication, raising general issues about using computers to collect self-report data.
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Cites
Social psychological aspects of computer-mediated communication
Kiesler, S., Siegel, J., & McGuire, T. W. (1984) · American Psychologist · doi:10.1037/0003-066x.39.10.1123 · Cited by 2,630
Self-citationHeberlein, T. A., & Baumgartner, R. (1978) · American Sociological Review · doi:10.2307/2094771 · Cited by 999
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Hippler, H.-J., & Schwarz, N. (1987) · Recent Research in Psychology · doi:10.1007/978-1-4612-4798-2_6 · Cited by 514
A Critical Comparison of Three Strategies of Collecting Data from Households
Hochstim, J. R. (1967) · Journal of the American Statistical Association · doi:10.1080/01621459.1967.10500909 · Cited by 418
Mail and Other Self-Administered Questionnaires
Dillman, D. A. (1983) · Handbook of Survey Research · doi:10.1016/b978-0-12-598226-9.50016-1 · Cited by 295
Davis, D., & Brock, T. C. (1975) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(75)90017-7 · Cited by 254
USING ELECTRONIC MAIL FOR DATA COLLECTION IN ORGANIZATIONAL RESEARCH.
Sproull, L. S. (1986) · Academy of Management Journal · doi:10.2307/255867 · Cited by 234
Self-citationComputer-Based Interviewing System Dealing with Nonverbal Behavior as well as Keyboard Responses
Slack, W. V. (1971) · Science · doi:10.1126/science.171.3966.84 · Cited by 45
(1976)
Cited by
Sensitive questions in surveys.
Tourangeau, R., & Yan, T. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.5.859 · Cited by 3,057
Gosling, S. D., Vazire, S., Srivastava, S., & John, O. P. (2004) · American Psychologist · doi:10.1037/0003-066x.59.2.93 · Cited by 2,932
Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity
Joinson, A. N. (2001) · European Journal of Social Psychology · doi:10.1002/ejsp.36 · Cited by 1,458
E-mail Survey Response Rates: A Review
Sheehan, K. B. (2006) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2001.tb00117.x · Cited by 1,441
Response Rate and Response Quality of Internet-Based Surveys: An Experimental Study
Deutskens, E., de Ruyter, K., Wetzels, M., & Oosterveld, P. (2004) · Marketing Letters · doi:10.1023/b:mark.0000021968.86465.00 · Cited by 835
Metadata
- Authors
- Kiesler, S., & Sproull, L. S.
- Venue
- Public Opinion Quarterly
- Publisher
- Oxford University Press (OUP)
- Published
- 1986
- Volume
- 50
- Issue
- 3
- Pages
- 402
- ISSN
- 0033-362X (ISSN-L)
- OpenAlex
- W2060312376
- Cited by
- 566
- References
- 10
- FWCI
- 24.44
- Type
- journal article
- Language
- en
- Open access
- closed
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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.