The impact of questionnaire length on the accuracy rate of online surveys
Takumi Kato () and
Taro Miura
Additional contact information
Takumi Kato: Saitama University
Taro Miura: Intage Inc.
Journal of Marketing Analytics, 2021, vol. 9, issue 2, No 2, 83-98
Abstract:
Abstract Online surveys have the advantages of affordability and speedy collection; however, there have been some concerns about their response quality. Previous studies have measured response quality using nonresponse rate and biased choice behavior. However, it is difficult to detect defective respondents who are randomly selected without careful consideration by using those indicators. Therefore, this study measured the accuracy rate as an index of response quality using a questionnaire with questions for which possible answers were provided. Questionnaire length was found to have a negative effect on response rate but no significant effect on the accuracy rate. In addition, considering the response device, surveys from smartphone users have a lower accuracy rate than surveys from personal computer users. Lastly, respondents who have a response rate faster than 10 seconds per question have a lower accuracy rate. It is important to understand the factors that affect response quality and to design surveys accordingly.
Keywords: Accuracy rate; Biased answers; Randomized controlled trial; Response quality; Response time (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1057/s41270-021-00105-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:jmarka:v:9:y:2021:i:2:d:10.1057_s41270-021-00105-y
Ordering information: This journal article can be ordered from
http://www.springer. ... gement/journal/41270
DOI: 10.1057/s41270-021-00105-y
Access Statistics for this article
Journal of Marketing Analytics is currently edited by Maria Petrescu and Anjala Krishnen
More articles in Journal of Marketing Analytics from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().