Web Survey Bibliography
The article focuses on the features of rating scales and the interpretation of the question meaning of importance to public opinion surveys. Previous research demonstrated that respondents' interpretation of vague quantifiers depends on the content domain and respondents' previous experiences. In addition, however, respondents may draw on contextual information provided by the questionnaire to disambiguate the meaning of ill-defined terms. The findings of this study support the general proposal that respondents draw on formal features of questionnaire design, such as the numeric values or graphical layout of rating scales, to determine the meaning the researcher has in mind. In doing so, they apply the tacit assumptions that underlie the conduct of conversation in daily life to the survey situation. These assumptions entail that every contribution is relevant to the ongoing conversation, unless marked otherwise. In a research situation, the researcher's contributions include apparently formal features of the questionnaire.
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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.