Effects of different types of progress indicators on drop-out rates in Web surveys

Social Psychology

Volumn 40, Issue 1, 2009, Pages 43-52

  Matzat, Uwe ^a   Snijders, Chris ^a   Van Horst, Wouter Der ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Applying survival analysis; Completion rates; Progress indicator; Web surveys

Indexed keywords

EID: 62449236889     PISSN: 18649335     EISSN: None     Source Type: Journal    
DOI: 10.1027/1864-9335.40.1.43     Document Type: Article

References (19)

1. Bandilla, W., & Bosnjak, M. (2000). Online-Surveys als Heraus- forderung fu¨r die Umfrageforschung [Online surveys as a challenge to survey research]. In P.P. Mohler & P. Ltlttinger. (Eds.), Festschrift fur Max Kaase [Festschrift for Max Kaasse] (pp. 9-28). Mannheim: ZUMA:
2. Bohme, R. (2003). Fragebogeneffekte bei Online-Befragungen [Questionnaire effects in online surveys]. Unpublished Master Thesis, Technische Universitat Dresden.
3. Bosnjak, M., & Tuten, T.L. (2001). Classifying response behavior in web-based surveys. Journal of Computer-Mediated Communication, 6(3), 1-17.
4. Conrad, F, Couper, M., Tourangeau, R., & Peytchev, A. (2005). Impact ofprogress feedback on task completion: First impressions matter. Paper presented at the conference CHI, Portland, Oregon, USA, April 2-7. 2005.
5. Couper, M. (2000). Usability evaluation of computer-assisted survey instruments. Social Science Computer Review, 4, 384-396.
6. Couper, M., Traugott, M.W., & Lamias, M.J. (2001). Web survey design and administration. Public Opinion Quarterly, 65, 230-253.
7. Crawford, S.D., Couper, M., & Lamias, M.J. (2001). Web surveys: Perception of burden. Social Science Computer Review, 19, 146-162.
8. Dillman, D.A. (2000). Mail and. internet surveys. The tailored design method. New York, Chichester: Wiley.
9. Elandt-Johnson, R., & Johnson, N. (1999). Survival models and data analysis. New York: Wiley.
10. Graf, L. (2002). Assessing internet questionnaires: The online pretest lab. In B. Batinic, U.D. Reips, & M. Bosnjak (Eds.), Online social sciences (pp. 49-68). Seattle: Hogrefe & Huber.
11. Heerwegh, D. (2004). Using progress indicators in web surveys. Paper prepared for the 59th AAPOR conference, Phoenix, Arizona, May 13-16, 2004.
12. Heerwegh, D., & Loosveldt, G. (2006). An experimental study on the effects of personalization, survey length statements, progress indicators, and survey sponsor logos in Web Surveys. Journal of Official Statistics, 22, 191-210.
13. Hosmer, D.W., & Lemeshow, S. (1999). Applied survival analysis: Regression modeling of time to event data. New York: Wiley.
14. Huber, P.J. (1967). The behavior of maximum likelihood estimates under nonstandard conditions. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 1, 221-233.
15. Kaczmirek, L. (2008). Human-survey interaction: Usability and nonresponse in online surveys. University of Mannheim.
16. Lin, N., & Dumin, M. (1986). Access to occupations through social ties. Social Networks, 8, 365-385.
17. Schwarz, N. (1998). Cognition and communication. Mahwah, NJ: Erlbaum.
18. Smyth, J.D., Dillman, D.A., Christian, L.M., & Stern, M.J. (2006). Effects of using visual design principles to group response options in web surveys. International Journal of Internet Science, 1, 6-16.
19. Tourangeau, R., Rips, L.J., & Rasinski, K. (2007). The psychology of survey response. Cambridge, UK: Cambridge University Press.