Web Survey Bibliography
Purpose of the study: Due to increasing mobile Web penetration rates mobile Web surveys are gaining importance in survey research. However, coverage error is a major threat to mobile Web surveys. This study aims to estimate coverage error caused by citizens without mobile phones or by mobile phone owners without mobile Web access. Design/methodology/approach: Eurobarometer data from 2009 to 2013 across 27 European countries were used to calculate the relative coverage bias. Eurobarometer studies were administered face-to-face and, thus, provided relatively complete coverage. Questionnaires contained questions concerning mobile phone ownership and smartphone access. Thus, we were able to estimate the no mobile phone bias and the no mobile Web bias as well as the joint coverage bias. Bias concerning various socio-demographic variables was assessed. Findings: Considering Eurobarometer data of 2013 about 90 percent of the European population reported mobile phone ownership. Mobile Web access increased from 32 percent in 2005 to 46 percent in 2013 which signifies a promising development for survey researchers. However, analyses revealed still remarkable coverage bias estimates for socio-demographic variables for the mobile Web population. Interestingly, coverage bias for the mobile Web population is mainly caused by people without mobile phone not predominantly by mobile phone owners without mobile Web access. The no mobile phone bias and the no mobile Web bias do not compensate to a great extent. Originality/value: Using mobile Web for surveys is an extension of the present use of online surveys and of the trend towards selfadministration and technology use in survey methodology (Couper, 2008). However, little is known about methodological problems of mobile Web surveys. Research shows that coverage bias is still considerably large but deteriorates over time. Thus, in the near future mobile Web surveys might become worth considering for survey data collection in the general population. Research imitations/implications: Based on Eurobarometer data we cannot identify mobile Web users. We have to acknowledge that the mere coverage of the smartphone population does not imply that every smartphone owner is capable and willing to use mobile Web to take surveys. Practical implications: Given the fact that the relative coverage bias of the mobile Web population decreases for some sociodemographic variables, using this new technology as a survey mode in the general population comes into sight.
Web survey bibliography - Denmark (31)
- Representative web-survey!; 2016; Linde, P.
- Correcting for non-response bias in contingent valuation surveys concerning environmental non-market...; 2015; Bonnichsen, O.; Boye Olsen, S.
- The effect of multiple reminders on response patterns in a Danish health survey; 2015; Christensen, A. I.; Ekholm, O.; Kristensen, P. L.; Larsen, F. B.; Vinding, A. L.; Gluemer, C.; Juel,...
- Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis; 2014; Gnambs, T., Kaspar, K.
- Self-reported cheating in web surveys on political knowledge; 2014; Jensen, C., Thomsen, J. P. F.
- Improving Survey Response Rates in Online Panels Effects of Low-Cost Incentives and Cost-Free Text Appeal...; 2014; Pedersen, M. J., Nielsen, C. V.
- Online Qualitative Research – Personality Matters ; 2014; Tress, F., Doessel, C.
- 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.
- Measuring Mobile Phone Use: Self-Report Versus Log Data; 2013; Boase, J., Ling, R.
- Effect of survey mode on response patterns: comparison of face-to-face and self-administered modes in...; 2013; Illemann Christensen, A., Ekholm, O., Gluemer, C., Juel, K.
- ESSnet Data: Collection for Social Surveys using Multiple Modes; 2013; Sattelberger, S., Blanke, K.
- A Framework for the Collection of Universal Client Side Paradata (UCSP); 2012; Kaczmirek, L.
- Does survey experience affect respondents’ reported level of satisfaction?; 2012; Schultz Christensen, A., Ladenburg, J.
- Efficiency of Different Recruitment Strategies for Web Panels; 2012; Hansen, K. M., Pedersen, R. T.
- “Don’t know” the difference - An experimental comparison between Web and CATI; 2011; Schielicke, A.-M., Degen, M.
- On Affordances and Technological Intersubjectivity; 2011; Vatrapu, R.
- Usability and burden measurement in online forms; 2011; Thomsen, P.
- Dynamic Data Editing in online data collection for the Vacant Positions Survey; 2011; Stax, H.-P.
- Utilizing Web Technology in Business Data Collection: Some Norwegian, Dutch and Danish Experiences; 2011; Snijkers, G., Haraldsen, G., Stax, H.-P.
- Does the Inclusion of a Cost Attribute in Forced and Unforced Choices Matter? Results from a Web Survey...; 2011; Pedersen, L. B., Kjaer, T., Kragstrup, J., Gyrd-Hansen, D.
- Utilizing Web Technology in Business Data Collection: Some Norwegian, Dutch and Danish Experiences; 2011; Haraldsen, G., Snijkers, G., Roos, M., Sundvoll, A., Vik, T., Stax, H.-P.
- Examination of a ’Web Mode Effect’. An Experimental Comparison of Web and Paper Based Surveys...; 2011; Shamshiri-Petersen, D., Clement, S. L.
- The impact of incentives and interview methods on response quantity and quality in diary- and booklet...; 2010; Bonke, J., Fallesen, P.
- Measuring Internet And Press Audience In The Media Convergence Era. In Search Of A New Paradigm In Researching...; 2009; Pawlak, J., Póltorak, M.
- Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market...; 2009; Boye Olsen, S.
- Using mobile phones to measure TV-broadcast quality; 2009; Wieland, J. L., Puggaard, B.
- Differential response rates in postal and Web-based surveys in older respondents; 2009; Bech, M., Kristensen, M. B.
- Response rate and completeness of questionnaires: A randomized study of internet versus Paper-and-Pencil...; 2007; Holm- Christensen, K., Hjollund, H. N., Basnov, M., Kongsved, S. M.
- The impact of material incentives on response quantity, response quality, sample composition, survey...; 2004; Goeritz, A.
- Willingness to Pay for Organic Foods: A Comparison between Survey Data and Panel Data from Denmark ; 2002; Millock, K.; Hansen, L.G.; Wier, M.; Andersen, L.M
- Online Research: Methoden, Anwendungen und Ergebnisse ; 1999; Batinic, B., Bandilla, W., Graef, L., Werner, A.