Web Survey Bibliography
Email has enormous potential as a medium for data collection. It permits complex questionnaires to be administered more quickly, flexibly, and inexpensively than telephone or postal communications. Email, though, is currently restricted to individuals with access to computer networks, meaning we cannot generate probability samples that would enable us to statistically infer the true population parameters from our sample estimates. In recent years, scholars have begun employing email surveys to study public opinion, relying on weighting or the form‐resistant correlation hypothesis to neutralize the effects of email's coverage error. In this paper, we assess the application of these techniques, demonstrating that email surveys violate the assumptions underlying them. We discuss the implications of this for future survey research employing electronic methods.
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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.