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Cited by 170

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A Comparison of Response Characteristics from Web and Telephone Surveys

Roster, Catherine A., Rogers, Robert D., Albaum, Gerald, Klein, Darin·2004·International Journal of Market Research

Abstract

Increasingly, web surveys are being used to supplement telephone survey data and some predict internet methods will one day replace telephone interviews as the primary method for surveying general populations. Despite these trends, few studies have systematically compared response differences between the two methods. This article describes a study in which both telephone and web surveys were used to collect data on the corporate reputation of an international firm. Findings reveal significant differences in sample characteristics, response effects and overall costs. In addition to demographic differences, the web garnered a lower response rate, more item omissions, and produced more negative or neutral evaluations than did the telephone survey. Factor structure for the corporate reputation construct was simpler in the web-based data. Predictability of behavioural measures was essentially equivalent between the two modes; however, cost-per-contact was significantly lower in the web survey.

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Metadata

Authors
Roster, C. A., Rogers, R. D., Albaum, G., & Klein, D.
Venue
International Journal of Market Research
Published
2004-05
Volume
46
Issue
3
Pages
359-373
ISSN
  • 1470-7853 (ISSN-L)
  • 2515-2173
OpenAlex
W2166073427
Cited by
170
References
1
FWCI
21.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Comparison of Response Characteristics from Web and Telephone Surveys. https://app.cochat.ai/papers/10.1177/147078530404600301
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Roster, C. A., Rogers, R. D., Albaum, G., & Klein, D. (2004). A Comparison of Response Characteristics from Web and Telephone Surveys. International Journal of Market Research. https://doi.org/10.1177/147078530404600301

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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.