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HOW UNCLEAR TERMS AFFECT SURVEY DATA

HOW UNCLEAR TERMS AFFECT SURVEY DATA Abstract Although writing clear questions is accepted as a general goal in surveys, procedures to ensure that each key term is consistently understood are not routine. Researchers who do not adequately test respondent understanding of questions must assume that ambiguity will not have a large or systematic effect on their results. Seven questions that were drawn from questions used in national health surveys were subjected to special pretest procedures and found to contain one or more poorly defined terms. When the questions were revised to clarify the definition of key terms, significantly different estimates resulted. The implication is that unclear terms are likely to produce biased estimates. The results indicate that evaluation of survey questions to identify key terms that are not consistently understood and defining unclear terms are ways to reduce systematic error in survey measurement. This content is only available as a PDF. © 1992, the American Association for Public Opinion Research http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Public Opinion Quarterly Oxford University Press

HOW UNCLEAR TERMS AFFECT SURVEY DATA

Public Opinion Quarterly , Volume 56 (2) – Jan 1, 1992

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References (11)

Publisher
Oxford University Press
Copyright
© 1992, the American Association for Public Opinion Research
ISSN
0033-362X
eISSN
1537-5331
DOI
10.1086/269312
Publisher site
See Article on Publisher Site

Abstract

Abstract Although writing clear questions is accepted as a general goal in surveys, procedures to ensure that each key term is consistently understood are not routine. Researchers who do not adequately test respondent understanding of questions must assume that ambiguity will not have a large or systematic effect on their results. Seven questions that were drawn from questions used in national health surveys were subjected to special pretest procedures and found to contain one or more poorly defined terms. When the questions were revised to clarify the definition of key terms, significantly different estimates resulted. The implication is that unclear terms are likely to produce biased estimates. The results indicate that evaluation of survey questions to identify key terms that are not consistently understood and defining unclear terms are ways to reduce systematic error in survey measurement. This content is only available as a PDF. © 1992, the American Association for Public Opinion Research

Journal

Public Opinion QuarterlyOxford University Press

Published: Jan 1, 1992

There are no references for this article.