Web Survey Bibliography
According to numbers from Statistics Netherlands, already 50% of Dutch people in the age of 12-72 years old use mobile devices to access the Internet. This number will probably increase in a rapid pace in the next couple of years. The literature on web surveys, mode effects and visual design is still in progress, but researchers need to adapt their research strategy in order to investigate how the use of these new mobile devices affect total survey error. This research uses a mixed device survey. We compare two parallel surveys: one with a traditional web survey and one suitable for mobile devices where respondents could choose their preferred device. Data come from an online probability-based research panel of Market Response in the Netherlands. We investigate response rates, measurement error indicators and evaluation of the questionnaire in both groups. In addition, we take the use of QR codes, the transmission of GPS coordinates and feedback from other respondents into account. The goal of this research is to gain insight on how to design quality surveys in this new situation and if it is successful in recruiting hard-to-reach populations.
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Web survey bibliography - Toepoel, V. (27)
- Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not...; 2017; Toepoel, V.; Emerson, H.
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices...; 2016; Toepoel, V.; Lugtig, P. J.
- Doing Surveys Online ; 2016; Toepoel, V.
- The Effects of Adding a Mobile-Compatible Design to the American Life Panel; 2015; Toepoel, V.; Lugtig, P. J.; Amin, A.
- Higher Item Nonresponse Rates Caused by Slider Scales in Web Surveys; 2015; Toepoel, V.; Funke, F.
- Coding Surveys on their Item Characteristics: Reliability Diagnostics; 2015; Bais, F.; Schouten, B.; Toepoel, V.
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.
- Informing panel members about study results; 2014; Scherpenzeel, A., Toepoel, V.
- Mixed-devices in a probability based panel survey. Effects on survey measurement error; 2014; Toepoel, V., Lugtig, P. J.
- Panel Conditioning in Difficult Attitudinal Questions; 2013; Binswanger, J., Schunk, D., Toepoel, V.
- Mobile devices a way to recruit hard-to-reach groups? Results from a pilot study comparing desk top...; 2013; Toepoel, V., Lugtig, P. J.
- Effects of Incentives in Surveys; 2012; Toepoel, V.
- Building Your Own Online Panel Via E-Mail and Other Digital Media; 2012; Toepoel, V.
- Recruiting A Probability Sample For An Online Panel: Effects Of Contact Mode, Incentives, And Information...; 2012; Scherpenzeel, A., Toepoel, V.
- How Visual Design Affects the Interpretability of Survey Questions; 2011; Toepoel, V., Dillman, D. A.
- Panel Recruitment via Facebook; 2011; Toepoel, V.
- Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys; 2011; Das, M., Toepoel, V., van Soest, A.
- Response Quantity, Response Quality, and Costs of Building an Online Panel via Social Contacts.; 2011; Toepoel, V.
- Can Verbal Instructions Counteract Visual Context Effects in Web Surveys?; 2011; Toepoel, V., Couper, M. P.
- Words, Numbers and Visual Heuristics in Web Surveys: Is There a Hierarchy of Importance?; 2009; Toepoel, V., Dillman, D. A.
- Pictures in Web Surveys; 2009; Toepoel, V., Couper, M. P.
- Panel Conditioning in Web Surveys: A Comparison between Trained and Fresh Respondents; 2009; Toepoel, V., Das, M., van Soest, A.
- Visual Heuristics and Answer Formats in Rating Scales; 2009; Toepoel, V. Dillman, D. A.
- Design effects in web surveys: comparing trained and fresh respondents; 2008; Toepoel, V., Das, M., van Soest, A.
- Can I use a panel? Panel conditioning and attrition bias in panel surveys; 2007; Das, M., Toepoel, V., van Soest, A.