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Cited by 1,295

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Asking Sensitive Questions: The Impact of Data Collection Mode, Question Format, and Question Context

Tourangeau, Roger, Smith, Tom W.·1996·Public Opinion Quarterly

Abstract

This study compared three methods of collecting survey data about sexual behaviors and other sensitive topics: computer-assisted personal interviewing (CAPI), computer-assisted self-administered interviewing (CASI), and audio computer-assisted self-administered interviewing (ACASI). Interviews were conducted with an area probability sample of more than 300 adults in Cook County, Illinois. The experiment also compared open and closed questions about the number of sex partners and varied the context in which the sex partner items were embedded. The three mode groups did not differ in response rates, but the mode of data collection did affect the level of reporting of sensitive behaviors: both forms of self-administration tended to reduce the disparity between men and women in the number of sex partners reported. Self-admimstration, especially via ACASI, also increased the proportion of respondents admitting that they had used illicit drugs. In addition, when the closed answer options emphasized the low end of the distribution, fewer sex partners were reported than when the options emphasized the high end of the distribution; responses to the open-ended versions of the sex partner items generally fell between responses to the two closed versions.

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Metadata

Authors
Tourangeau, R., & Smith, T. W.
Venue
Public Opinion Quarterly
Published
1996
Volume
60
Issue
2
Pages
275
ISSN
0033-362X (ISSN-L)
OpenAlex
W2131934797
Cited by
1,295
References
0
FWCI
70.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Asking Sensitive Questions: The Impact of Data Collection Mode, Question Format, and Question Context. https://app.cochat.ai/papers/10.1086/297751
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Tourangeau, R., & Smith, T. W. (1996). Asking Sensitive Questions: The Impact of Data Collection Mode, Question Format, and Question Context. Public Opinion Quarterly. https://doi.org/10.1086/297751

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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.