Web Survey Bibliography
This paper investigates whether it is possible to improve the representativeness of an Internet panel by including non-Internet households. We study the LISS panel, managed by CentERdata, an Internet panel based on a probability sample that comprises approximately 5000 households. The LISS panel provides non-Internet households, households with no Internet access at the time of the sampling, with cost-free equipment and an Internet connection. Early 2010 the LISS panel contained 545 non-Internet households, this equals approximately 10% of the entire panel.
The analyses show that particularly older households, non-western immigrants, and one-person households are less likely to have Internet access. The LISS panel includes a representative sample of non-Internet households except for households with high average age ("the oldest old"). Non-Internet households who participate in the panel show higher response rates on the individual questionnaires and lower attrition rates. While significant differences between the panel and the Dutch population remain, the complete LISS panel, with both Internet and non-Internet households, appears to be closer to the Dutch population than the panel consisting only of Internet households for all socio-demographic variables we tested. Furthermore, about half of the non-Internet households start to use the Internet after they have become panel members. They use less of the options offered by Internet, and mainly use the simpler applications, such as e-mail and information search, compared to persons living in Internet households. In this sense, they remain different from the original Internet households and continue to contribute to the quality of the panel data.
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Web survey bibliography - International Journal of Internet Science (11)
- Will They Stay or Will They Go? Personality Predictors of Dropout in Online Study; 2016; Nestler, S.; Thielsch, M.; Vasilev, E.; Back, M.
- WEBDATANET: Innovation and Quality in Web-Based Data Collection ; 2014; Steinmetz, S., Slavec, A., Tijdens, K. G., Reips, U.-D., de Pedraza, P., Popescu, A., Belchior, A., ...,...
- Mining “Big Data” using Big Data Services ; 2014; Reips, U.-D., Matzat, U.
- Does It Pay Off to Include Non-Internet Households in an Internet Panel? ; 2013; Leenheer, J., Scherpenzeel, A.
- ReCal OIR: Ordinal, Interval, and Ratio Intercoder Reliability as a Web Service; 2013; Freelon, D. G.
- News Platform Preference: Advancing the Effects of Age and Media Consumption on Political Participation...; 2010; Bachmann, I., Kaufhold, K., Lewis, S. C., de Zuniga, H. G.
- ReCal: Intercoder Reliability Calculation as a Web Service ; 2010; Freelon, D. G.
- Continuous Measurement of Musically-Induced Emotion: A Web Experiment ; 2009; Egermann, H., Nagel, F., Altenmueller, E., Kopiez, R.
- The Impact of Textual Messages of Encouragement on Web Survey Breakoffs: An Experiment ; 2009; Sakshaug, J. W., Crawford, S. D.
- Objectivity, Reliability, and Validity of Search Engine Count Estimates ; 2008; Janetzko, D.
- Physical or Virtual Presence of the Experimenter: Psychological Online-Experiments in Different Settings...; 2006; Ollesch, H., Heineken, E., Schulte, F. P.