Web Survey Bibliography
In this introductory chapter, written by the six editors of this volume, we introduce and attempt to systematize the key concepts used when discussing online panels. The connection between Internet penetration and the evolution of panels is discussed as are the different types of online panels, their composition, and how they are built. Most online panels do not use probability-based methods, but some do and the differences are discussed. The chapter also describes in some detail the process of joining a panel, answering initial profiling questions, and becoming an active panel member. We discuss the most common sampling techniques, highlighting their strengths and limitations, and touch on techniques to increase representativeness when using a non-probability panel. The variety of incentive methods in current use also is described. Panel maintenance is another key issue, since attrition often is substantial and a panel must be constantly refreshed. Online panels can be used to support a wide range of study designs, some cross-sectional or and others longitudinal, where the same sample members are surveyed multiple times on the same topic. We also discuss industry standards and professional association guidelines for conducting research using online panels. The chapter concludes with a look to the future of online panels and more generally online sampling via means other than classic panels.
Web survey bibliography - In M. Callegaro, R. Baker, J. Bethlehem, A. S. Göritz, J. A. Krosnick and P. J. Lavrakas (eds.): Online Panel Research: A Data Quality Perspective. John Wiley & Sons, Ltd, Chichester, UK (15)
- Validating respondents' identity in online samples; 2014; Baker, R., Miller, C., Kachhi-Jiwani, D., Lange, K., Wilding-Brown, L., Tucker, J.
- The relationship between nonresponse strategies and measurement error; 2014; Malhotra, N., Miller, J. M., Wedeking, J.
- Nonresponse and measurement error in an online panel; 2014; Roberts, C., Allum, N., Sturgis, P.
- Estimating the effects of nonresponses in online panels through imputation; 2014; Zhang, W.
- An empirical test of the impact of smartphones on panel-based online data collection; 2014; Drewes, F.
- Professional respondents in nonprobability online panels; 2014; Hillygus, D. S., Jackson, N. M., Young, M.
- Informing panel members about study results; 2014; Scherpenzeel, A., Toepoel, V.
- Determinants of the starting rate and the completion rate in online panel studies; 2014; Goeritz, A.
- The untold story of multi-mode (online and mail) consumer panels; 2014; McCutcheon, A. L., Rao, K., Kaminska, O.
- Online panels and validity; 2014; Groenlund, K., Strandberg, K.
- Assessing representativeness of a probability-based online panel in Germany; 2014; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- A critical review of studies investigating the quality of data obtained with online panels based on...; 2014; Callegaro, M., Villar, A., Yeager, D. S., Krosnick, J. A.
- Online panel research: History, concepts, applications and a look at the future; 2014; Callegaro, M., Baker, R., Bethlehem, J., Goeritz, A., Krosnick, J. A., Lavrakas, P. J.
- Motives for joining nonprobability online panels and their association with survey participation behavior...; 2014; Keusch, F., Batinic, B., Mayerhofer, W.
- Improving web survey quality; 2014; Steinmetz, S., Bianchi, S. M., Tijdens, K. G., Biffignandi, S.