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 - Bethlehem, J. (21)
- The perils of non-probability sampling; 2017; Bethlehem, J.
- Sunday shopping – The case of three surveys; 2016; Bethlehem, J.
- Solving the Nonresponse Problem With Sample Matching?; 2016
- Using Web Panels for Official Statistics; 2014; Bethlehem, J.
- Web Surveys in Official Statistics; 2014; Bethlehem, J.
- 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.
- Using response probabilities for assessing representativity; 2012; Bethlehem, J.
- Web Surveys: Methodological Problems and Research Perspectives; 2012; Biffignandi, S., Bethlehem, J.
- Can web surveys provide an adequate alternative to phone and face to face surveys?; 2011; Bethlehem, J.
- Selection Bias in Web Surveys; 2010; Bethlehem, J.
- Can we make official statistics with self-selection web surveys?; 2009; Bethlehem, J.
- The rise of survey sampling; 2009; Bethlehem, J.
- New developments in survey methodology for official statistics; 2009; Bethlehem, J.
- Indicators for the representativeness of survey response; 2009; Schouten, B., Cobben, F., Bethlehem, J.
- Use of Web surveys in Official Statistics; 2009; Bethlehem, J.
- Applied Survey Methods: A Statistical Perspective (Wiley Series in Survey Methodology); 2009; Bethlehem, J.
- Nonresponse Bias in Surveys; 2009; Bethlehem, J., Vehovar, V., Stoop, I., Schouten, B., Shlomo, N., Skinner, C., Montaquila, J.
- Representativity of web surveys – an illusion?; 2008; Bethlehem, J.
- How accurate are self-selection web surveys?; 2008; Bethlehem, J.
- Blaise – Alive and kicking for 20 years; 2006; Bethlehem, J., Hofman, L.
- Methodological guidelines for Blaise web surveys ; 2003; Bethlehem, J., Hoogendoorn, A.