Questionnaire science

Publication date

2018-09

Authors

Oberski, Daniel L.ORCID 0000-0001-7467-2297ISNI 0000000396652603

Editors

Atkeson, Lonna Rae
Alvarez, R. Michael

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

Abstract

Some textbooks on questionnaire design claim it is an art. That would make the criterion for a “good” question entirely subjective—a worrying conclusion given that surveys are often used to discover important facts about people. Are our discoveries about people also entirely subjective? This chapter shows that it is possible to study what a “good” or a “bad” question is by experimentation. There is already a body of scientific evidence on questionnaire design that can be taken into account when designing a questionnaire. The chapter reviews some of this evidence and shows how it can be used to the advantage of the survey researcher. Questionnaire science is far from complete. On the one hand, this means that some of our conclusions may still be more art than science. On the other, it means that we can agree on one aspect of questionnaire science: more of it is needed.

Keywords

Best practices, Expert systems, Measurement error, Question crafting, Questionnaire design, Reliability, Survey experiments, Survey methodology, Survey quality, Taverne, General Social Sciences

Citation

Oberski, D L 2018, Questionnaire science. in L R Atkeson & R M Alvarez (eds), The Oxford Handbook of Polling and Polling Methods. Oxford University Press, pp. 113-137. https://doi.org/10.1093/oxfordhb/9780190213299.013.21