338
Views
9
CrossRef citations to date
0
Altmetric
Articles

SurveyMotion: what can we learn from sensor data about respondents’ completion and response behavior in mobile web surveys?

&
Pages 379-391 | Received 30 Aug 2018, Accepted 16 Nov 2018, Published online: 22 Jan 2019

References

  • Callegaro, M. (2013). Paradata in web surveys. In F. Kreuter (Ed.), Improving surveys with paradata. Analytic uses of process information (pp. 261–280). Hoboken, NJ: John Wiley & Sons.
  • Cohen, J. (1969). Statistical power analysis for the behavioral science. New York, NY: Academic Press.
  • Couper, M. P., & Kreuter, F. (2013). Using paradata to explore item level response times in surveys. Journal of the Royal Statistical Society, 176, 271–286.
  • Couper, M. P., & Singer, E. (2013). Informed consent for web paradata use. Survey Research Methods, 7, 57–67.
  • Couper, M. P., Tourangeau, R., Conrad, F. G., & Zhang, C. (2013). The design of grids in web surveys. Social Science Computer Review, 31, 322–345.
  • Dillman, D. A., Smyth, J. D., & Christian, L. M. (2009). Internet, mail, and mixed-mode surveys: The tailored design method (3rd ed.). New York, NY: John Wiley.
  • Elhoushi, M., Georgy, J., Noureldin, A., & Korenberg, M. J. (2017). A survey on approaches of motion mode recognition using sensors. IEEE Transactions on Intelligent Transportation Systems, 18, 1662–1686.
  • Foehr, U. (2006). Media multitasking among youth: Prevalence, pairings, and predictors. Retrieved August 16, 2017, from https://kaiserfamilyfoundation.files.wordpress.com/2013/01/7592.pdf
  • He, J., Hu, C., & Wang, X. (2016). A smart device enabled system for autonomous fall detection and alert. International Journal of Distributed Sensor Networks, 12, 1–10.
  • Heerwegh, D. (2002). Describing response behavior in web surveys using client side paradata. Paper presented at the international workshop on web surveys, Mannheim, Germany.
  • Höhne, J. K., Revilla, M., & Lenzner, T. (2018). Comparing the performance of agree/disagree and item-specific questions across PCs and smartphones. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 14, 109–118.
  • Höhne, J. K., & Schlosser, S. (2018). Investigating the adequacy of response time outlier definitions in computer-based web surveys using paradata SurveyFocus. Social Science Computer Review, 36, 369–378.
  • Höhne, J. K., Schlosser, S., & Krebs, D. (2017). Investigating cognitive effort and response quality of question formats in web surveys using paradata. Field Methods, 29, 365–382.
  • Lynn, P., & Kaminska, O. (2012). The impact of mobile phones on survey measurement error. Public Opinion Quarterly, 77, 586–605.
  • Mavletova, A. (2013). Data quality in PC and mobile web surveys. Social Science Computer Review, 31, 725–743.
  • Mehrnezhad, M., Toreini, E., Shahandashti, S. F., & Hao, F. (2016). TouchSignatures: Identification of user touch actions and PINs based on mobile sensor data via JavaScript. Journal of Information Security and Applications, 26, 23–38.
  • Monsell, S. (2003). Task switching. Trends in Cognitive Sciences, 7, 134–140.
  • Revilla, M., & Couper, M. P. (2018). Comparing grids with vertical and horizontal item-by-item formats for PCs and smartphones. Social Science Computer Review, 36, 349–368.
  • Revilla, M., Toninelli, D., Ochoa, C., & Loewe, G. (2016). Do online access panels really need to allow and adapt surveys to mobile devices? Internet Research, 26, 1209–1227.
  • Schlosser, S., & Höhne, J. K. (2017). Does the continuity of web-survey processing matter? Poster presented at the conference of the European survey research association, Lisbon, Portugal.
  • Schlosser, S., & Höhne, J. K. (2018a). ECSP – Embedded Client Side Paradata. Zenodo. doi:10.5281/zenodo.1218941
  • Schlosser, S., & Höhne, J. K. (2018b). Sensor data: Measuring acceleration of smartphones in mobile web surveys. Poster presented at the general online research conference, Cologne, Germany.
  • Sendelbah, A., Vehovar, V., Slavec, A., & Petrovčič, A. (2016). Investigating respondent multitasking in web surveys using paradata. Computers in Human Behavior, 55(Part B), 777–787.
  • Toepoel, V., & Lugtig, P. (2015). Online surveys are mixed-device surveys. Issues associated with the use of different (mobile) devices in web surveys. Methods, Data, Analyses, 9, 155–162.
  • Toninelli, D., & Revilla, M. (2016a). Smartphones vs PCs: Does the device affect the web survey experience and the measurement error for sensitive topics? A replication of the Mavletova & Couper’s 2013 experiment. Survey Research Methods, 10, 153–169.
  • Toninelli, D., & Revilla, M. (2016b). Is the smartphone participation affecting the web survey experience? Proceedings of the 48th scientific meeting of the Italian statistical society, Salerno. ISBN: 9788861970618.
  • Zwarun, L., & Hall, A. (2014). What’s going on? Age, distraction, and multitasking during online survey taking. Computers in Human Behavior, 41, 236–244.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.