Affiliation:
1. German Centre for Higher Education Research and Science Studies , Lange Laube 12, 30159 Hannover , Germany .
Abstract
Abstract
Collecting life history data is highly demanding and therefore prone to error since respondents must retrieve and provide extensive complex information. Research has shown that response burden is an important factor influencing data quality. We examine whether increases in different measures of response burden in a (mixed-device) online survey lead to adverse effects on the data quality and whether these effects vary by the type of device used (mobile versus non-mobile).
We conducted an experimental study in an online mixed-device survey, for which we developed a questionnaire on the educational and occupational trajectories of secondary-school graduates, undergraduates, and university graduates. To address our research question, we randomly assigned different levels of response burden to the participants and compared different measures on the data quality and response.
We found mixed evidence for unfavourable effects of response burden on the examined outcomes. While some of our results were expected, they were not consistent across all subgroups. Most interestingly, the effects of response burden on outcomes seemed to differ based on the device used. Hence, we conclude that further research is needed to optimise the collection of complex data from different groups of participants.
Reference57 articles.
1. American Association for Public Opinion Research. 2016. Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. Available at: https://www.aapor.org/AAPOR_Main/media/publications/Standard-Definitions20169theditionfinal.pdf (accessed December 2020).
2. Antoun, C., and A. Cernat. 2020. “Factors Affecting Completion Times: A Comparative Analysis of Smartphone and PC Web Surveys.” Social Science Computer Review 38 (4): 477–489. DOI: https://doi.org/10.1177/0894439318823703.
3. Antoun, C., M.P. Couper, and F.G. Conrad. 2017. “Effects of Mobile Versus PC Web on Survey Response Quality.” Public Opinion Quarterly 81 (S1): 280–306. DOI: https://doi.org/10.1093/poq/nfw088.
4. Bradburn, N.M. 1979. “Respondent Burden.” In Health Survey Research Methods: Second Biennial Conference, Williamsburg, edited by L. Reeder. Washington, D.C. U.S. Government Printing Office.
5. Burke, W.J. 2009. “Fitting and Interpreting Cragg’s Tobit Alternative Using Stata.” Stata Journal 9 (4): 584–592. Available at: https://www.stata-journal.com/article.html?article=st0179.10.1177/1536867X0900900405