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Cited by 313

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Research into Questionnaire Design: A Summary of the Literature

Open access
Lietz, Petra·2010·International Journal of Market Research

Abstract

Some consider responding to survey questions as a sophisticated cognitive process whereby respondents go through, often iterative, steps to process the information provided to them by questions and response options. Others focus more on the interplay between questions and answers as a complex communication process between researchers and respondents, their assumptions, expectations and perceptions. In this article, cognitive and communication research is reviewed that has tested the impact of different question and answer alternatives on the responses obtained. This leads to evidence-based recommendations for market researchers, who frequently have to make decisions regarding various aspects of questionnaire design such as question length and order, question wording, as well as the optimal number of response options and the desirability or otherwise of a ‘don't know’ option or a middle alternative.

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Metadata

Authors
Lietz, P.
Venue
International Journal of Market Research
Published
2010-03
Volume
52
Issue
2
Pages
249-272
ISSN
  • 1470-7853 (ISSN-L)
  • 2515-2173
OpenAlex
W2086989313
Cited by
313
References
88
FWCI
21.91
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Research into Questionnaire Design: A Summary of the Literature. https://app.cochat.ai/papers/10.2501/s147078530920120x
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Lietz, P. (2010). Research into Questionnaire Design: A Summary of the Literature. International Journal of Market Research. https://doi.org/10.2501/s147078530920120x

Data sources

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.