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Cited by 2,460

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Response strategies for coping with the cognitive demands of attitude measures in surveys

Krosnick, Jon A.·1991·Applied Cognitive Psychology

Abstract

This paper proposes that when optimally answering a survey question would require substantial cognitive effort, some repondents simply provide a satisfactory answer instead. This behaviour, called satisficing, can take the form of either (1) incomplete or biased information retrieval and/or information integration, or (2) no information retrieval or integration at all. Satisficing may lead respondents to employ a variety of response strategies, including choosing the first response alternative that seems to constitute a reasonable answer, agreeing with an assertion made by a question, endorsing the status quo instead of endorsing social change, failing to differentiate among a set of diverse objects in ratings, saying ‘don't know’ instead of reporting an opinion, and randomly choosing among the response alternatives offered. This paper specifies a wide range of factors that are likely to encourage satisficing, and reviews relevant evidence evaluating these speculations. Many useful directions for future research are suggested.

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Metadata

Authors
Krosnick, J. A.
Venue
Applied Cognitive Psychology
Publisher
Wiley
Published
1991-05
Volume
5
Issue
3
Pages
213-236
ISSN
  • 0888-4080 (ISSN-L)
  • 1099-0720
OpenAlex
W2010398643
Cited by
2,460
References
6
FWCI
22.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Response strategies for coping with the cognitive demands of attitude measures in surveys. https://app.cochat.ai/papers/10.1002/acp.2350050305
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Krosnick, J. A. (1991). Response strategies for coping with the cognitive demands of attitude measures in surveys. Applied Cognitive Psychology. https://doi.org/10.1002/acp.2350050305

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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.