Testing the Effects of Automated Navigation in a General Population Web Survey

Jeldrik Bakker, Marieke Haan, Barry Schouten, Bella Struminskaya, Peter Lugtig, Vera Toepoel, Deirdre Giesen, Vivian Meertens

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This study investigates how an auto-forward design, where respondents navigate through a web survey automatically, affects response times and navigation behavior in a long mixed-device web survey. We embedded an experiment in a health survey administered to the general population in The Netherlands to test the auto-forward design against a manual-forward design. Analyses are based on detailed paradata that keep track of the respondents' behavior in navigating the survey. We find that an auto-forward design decreases completion times and that questions on pages with automated navigation are answered significantly faster compared to questions on pages with manual navigation. However, we also find that respondents use the navigation buttons more in the auto-forward condition compared to the manual-forward condition, largely canceling out the reduction in survey duration. Furthermore, we also find that the answer options 'I don't know' and 'I rather not say' are used just as often in the auto-forward condition as in the manual-forward condition, indicating no differences in satisficing behavior. We conclude that auto-forwarding can be used to reduce completing times, but we also advice to carefully consider mixing manual and auto-forwarding within a survey.

Original languageEnglish
Pages (from-to)107-128
Number of pages22
JournalMethods, Data, Analyses
Volume16
Issue number1
DOIs
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
© The Author(s) 2021

Keywords

  • auto-forward
  • mixed-device surveys
  • paradata
  • usability
  • web surveys

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