Web Survey Bibliography
The diffusion of mobile devices such as tablet computers and smartphones enabling respondents to participate in self-administered online surveys create new challenges for survey methodology in terms of measurement (e.g., equivalence of mobile versus traditional online respondents) and nonresponse issues (e.g., response rates among mobile participants). By meta-analytically summarizing past data from eleven online panel studies conducted by the social and market research company LINK between March and May 2012, we have addressed three nonresponse-related research questions. First (a), how large is the share of mobile participants when conducting online panel surveys overall? Second (b), do mobile participants differ on participation parameters, such as the number of completed questions, and the length of entries to open-ended questions? Third (c), does mobile participation change as more advanced technological features (such as Flash) are being embedded? The preliminary results show that (a) a considerable share of online panel members did participate using a mobile device and (b) mobile respondents did not substantially differ from traditional online survey respondents on an array of participation rate indicators. However, when using Flash technology, (c) mobile participants showed extraordinarily high drop-out rates (about twice as much mobile drop-out rate when using Flash technology compared to traditional computers). Implications for survey methodology will be discussed, along with avenues for future research.
Workshop Homepage (abstract)
Web survey bibliography - Funke, F. (19)
- Higher Item Nonresponse Rates Caused by Slider Scales in Web Surveys; 2015; Toepoel, V.; Funke, F.
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.
- The Use of Paradata to Predict Future Cooperation in a Panel Study; 2014; Funke, F., Goeritz, A.
- HTML5 and mobile Web surveys: A Web experiment on new input types; 2013; Funke, F.
- Break-off and attrition in the GIP amongst technologically experienced and inexperienced participants...; 2013; Blom, A. G., Bossert, D., Clark, V., Funke, F., Gebhard, F., Holthausen, A., Krieger, U., Wachenfeld...
- Nonresponse and Nonresponse Bias in a Probability-Based Internet Panel; 2013; Blom, A. G., Bossert, D., Funke, F., Gebhard, F., Holthausen, A., Krieger, U.
- Enhancing Web Surveys With New HTML5 Input Types; 2012; Funke, F.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- High potential for mobile Web surveys: Findings from a survey representative for German Internet users...; 2012; Funke, F., Wachenfeld, A.
- Why semantic differentials in Web-based research should be made from visual analogue scales and not...; 2012; Funke, F., Reips, U.-D.
- Web-based rating scales: HTML 5 and other innovations; 2011; Funke, F.
- Ignoring the compatibility of online questionnaires may bias the psychological composition of your sample...; 2011; Funke, F.
- Explaining more variance with visual analogue scales: A Web experiment; 2011; Funke, F.
- Internet-Based Measurement With Visual Analogue Scales: An Experimental Investigation; 2010; Funke, F.
- Making small effects observable: Reducing error by using visual analogue scales; 2009; Funke, F., Reips, U.-D.
- Yes, VASs can! Increasing the accuracy of survey measurements with computerized visual analogue scales...; 2009; Funke, F., Reips, U.-D.
- Response Formats in Cross-cultural Comparisons in Web-based Surveys; 2009; Thomas, R. K.l, Terhanian, G., Funke, F.
- Using Audio and Video Clips in Web Surveys — Feasibility and Impact on Data Quality; 2007; Fuchs, M., Funke, F.
- Dynamic Forms: Online Surveys 2.0 ; 2007; Funke, F., Reips, U.-D.