Web Survey Bibliography
With the rise of Web survey research high breakoff rates are increasingly considered a major shortcoming. Based on the framework for the explanation of Web survey participation, three categories of predictors have been identified as major causes for breakoff: Respondent-related factors, survey design, and page and question characteristics (Peytchev, 2009, pp. 76–82). While there are many findings on the impact of questionnaire, question, and survey characteristics on breakoff (e.g., El-Menouar & Blasius, 2005; Galesic, 2006; Heerwegh, 2005; Peytchev, 2009), there is only limited evidence on the effects of respondent characteristics. We know little about sociodemographic and attitudinal correlates of breakoff because information on respondents who break off is normally highly limited. This article analyzes data from follow-up surveys to initial surveys in which respondents broke off. By revealing comprehensive information on both complete responders and breakoffs, these data allow for a detailed analysis of breakoff.
We regard survey breakoff as a specific form of nonresponse. Survey nonresponse is problematic if nonrespondents differ systematically from respondents in their personal characteristics or their norms, values, attitudes, and their (political) behavior (Weisberg, 2005). Researchers accordingly could obtain biased estimates and draw wrong conclusions. Thus, the first goal of our article is to study how complete responders and breakoffs differ with respect to sociodemographics, perceptions of the survey, political attitudes, and political behavior. This aspect is important …
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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.