Web Survey Bibliography
Many researchers include “progress indicators” in web questionnaires. The rationale is that if respondents know how much remains they will be more likely to complete the task. Previous research has shown that progress indicators often do not increase and sometimes even hurt completion rates, but in some circumstances they do help. Our hypothesis in the current experiment is that the effect of progress indicators depends on how long respondents believe the task will take and on how long it actually takes. We explore this by varying three factors in a web survey: (a) the task duration promised in the survey invitation; (b) the actual length of the questionnaire; and (c) whether or not a progress indicator is displayed. We found that the effect of progress indicators depend on respondents’ expectations and the degree to which they were realized; the presence of a progress indicator led to fewer breakoffs when respondents expected a short task based on the invitation and when the questionnaire was indeed short than when they expected the task to be longer. We discuss how all three factors work together in influencing respondents’ question-by-question decisions to continue the survey or to break off.
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Web survey bibliography - International Journal of Public Opinion Research (21)
- Answering Without Reading: IMCs and Strong Satisficing in Online Surveys; 2017; Anduiza, E.; Galais, C.
- When will Nonprobability Surveys Mirror Probability Surveys? Considering Types of Inference and Weighting...; 2016; Pasek, J.
- Reducing Underreports of Behaviors in Retrospective Surveys: The Effects of Three Different Strategies...; 2016; Lugtig, P. J.; Glasner, T.; Boeve, A.
- Why Do Respondents Break Off Web Surveys and Does It Matter? Results From Four Follow-up Surveys; 2014; Rossmann, J., Blumenstiel, J. E., Steinbrecher, M.
- Measuring Political Participation—Testing Social Desirability Bias in a Web-Survey Experiment; 2014; Persson, M., Solevid, M.
- Is it what you say, or how you say It? An experimental analysis of the effects of invitation wording...; 2014; Fazekas, Z., Wall, M. T., Krouwel, A.
- A Comparison of the Quality of Questions in a Face-to-face and a Web Survey; 2013; Revilla, M., Saris, W. E.
- Evaluation of an online (opt-in) panel for public participation geographic information systems surveys...; 2012; Brown, G., Weber, D., Zanon, D., de Bie, K.
- Assessing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys; 2012; Behr, D., Braun, M., Kaczmirek, L.
- Efficiency of Different Recruitment Strategies for Web Panels; 2012; Hansen, K. M., Pedersen, R. T.
- Do Questions about Watching Internet Pornography Make People Watch Internet Pornography? A Comparison...; 2012; Peter, J., Valkenburg, P. M.
- Refining the Total Survey Error Perspective; 2011; Smith, T. W.
- Seeing Through the Eyes of the Respondent: An Eye-tracking Study on Survey Question Comprehension; 2011; Lenzner, A., Kaczmirek, L., Galesic, M.
- Should I Stay or Should I go: The Effects of Progress Feedback, Promised Task Duration, and Length of...; 2011; Yan, T., Conrad, F. G., Tourangeau, R., Couper, M. P.
- The Effect of Phrasing Scale Items in Low-Brow or High-Brow Language on Responses; 2009; Blasius, J., Friedrichs, J.
- Mode Differences Between Face-to-Face and Web Surveys: An Experimental Investigation of Data Quality...; 2009; Heerwegh, D.
- Cognitive Aspects of Survey Measurement and Mismeasurement; 2003; Tourangeau, R.
- Item Nonresponse: Distinguishing between don't Know and Refuse; 2002; Pamela J. Shoemaker, Martin Eichholz and Elizabeth A. Skewes
- New approaches to assessing opinion: The prospects for electronic mail surveys; 2002; Best, S. J., Krueger, B. S.
- Formal features of rating scales and their interpretation of question meaning; 1998; Schwarz, N., Grayson, C. E., Knauper, B.
- The numeric values of rating scales: A comparison of their impact in mail surveys and telephone interviews...; 1994; Schwarz, N., Hippler, H. J.