Web Survey Bibliography
High drop-out rates are considered a major shortcoming of web surveys and considerably threaten data quality if drop-out is systematic rather than random. However, despite growing scholarly attention the knowledge on survey drop-out is still fractional. Previous research mainly addresses the impact of survey design, question wording, and characteristics of the respondents on survey drop-out via ex-post statistical methods. The research presented here is innovative in that the respondents are asked directly about the reasons for dropping out, the interview situation, psychological predispositions, as well as a reduced number of questions on politics and political attitudes in a series of follow-up surveys conducted subsequently to three consecutive online surveys of the GLES. These follow-up surveys, featuring more than 300 interviews with drop-outs, allow for an enhanced understanding of the complex processes underlying the phenomenon. Since the most essential items are also included in the preceding online surveys, the design allows for comparisons between drop-outs and complete responders in order to analyse how both groups differ in terms of their responses to substantive questions. In this regard, our research will add to the knowledge on which respondents are especially prone to drop-out, their reasons for dropping-out, and how these respondents relate to key variables of the respective survey, thus amending the theoretical explanations of drop-out.
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Web survey bibliography - Rossmann, J. (9)
- 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.
- Using Paradata to Predict and to Correct for Panel Attrition in a Web-based Panel Survey; 2014; Rossmann, J., Gummer, T.
- The Short-term Campaign Panel of the German Longitudinal Election Study 2009. Design, Implementation...; 2013; Steinbrecher, M., Rossmann, J.
- Identifying and Mitigating Satisficing in Web Surveys: Some Experimental Evidence; 2013; Rossmann, J.
- Identifying Satisficing Respondents in Web Surveys: A Comparison of Different Response Time-Based Approaches...; 2013; Rossmann, J.
- Interview Duration in Web Surveys: Integrating Different Levels of Explanation; 2013; Rossmann, J., Gummer, T.
- Does Mode Matter? Initial Evidence from the German Longitudinal Election Study (GLES); 2012; Blumenstiel, J. E., Rossmann, J.
- A new approach to the analysis of survey drop-out. Results from Follow-up Surveys in the German Longitudinal...; 2011; Rossmann, J., Blumenstiel, J. E., Steinbrecher, M.
- Breakoff in Web Surveys of the German Longitudinal Election Study (GLES); 2010; Blumenstiel, J. E., Roßmann, J., Steinbrecher, M.