Web Survey Bibliography
Many surveys today are affected by high nonresponse. This can be a detriment to survey quality since nonresponse causes systematic error (bias) in the estimates. A related problem is the need of survey costs reduction. Given the decreasing trend in response rates and the corresponding increasing resources needed to achieve preset response rates, taking measures only at the estimation stage is no more sufficient to overcome these problems. Measures need to be taken also at the data collection stage. In this direction, different forms of responsive design have been proposed (Groves and Heeringa, 2006, Särndal, 2011). The purpose of this paper is to study responsive design in the framework of Web panel data collection. This method of data collection is increasingly widespread for general population opinion evaluation and it allows disposing of many variables on the participation process. We explore whether this amount of information could be exploited in the framework of responsive design. We evaluate as well whether this method improves the estimates in terms of bias reduction and assess the consequences on the variability of the estimates. The empirical application uses data from two on-going probability-based household panels: the PAADEL panel (Italian panel for the agro-food sector) and the LISS panel (Dutch panel managed by CentERdata, Tilburg University). Using these databases, we artificially reproduce a set of experimental responsive designs based on alternative interventions in the data collection. Results are analyzed in a comparative way to evaluate the impact of this approach on the final estimates. Bibliography: Groves, R.M., and Heeringa, S.G. (2006), Responsive design for household surveys: tools for actively controlling survey errors and costs. Journal of the Royal Statistical Society: Series A, 169.Särndal, C.E. (2011), The 2010 Morris Hansen Lecture: Dealing with Survey Nonresponse in Data Collection, in Estimation. Journal of Official Statistics, 27, 1-21
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Web survey bibliography - Biffignandi, S. (17)
- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.
- Web-respondent-driven sampling; 2014; Bianchi, A., Biffignandi, S., Artaz, R.
- Improving web survey quality; 2014; Steinmetz, S., Bianchi, S. M., Tijdens, K. G., Biffignandi, S.
- Web Panel Representativeness; 2013; Bianchi, A., Biffignandi, S.
- Responsive design for mixed-mode panel data; 2013; Bianchi, A., Biffignandi, S.
- Responsive Design for Web Panel Data Collection; 2013; Bianchi, A., Biffignandi, S.
- Innovation in Data Collection: the Responsive Design Approach; 2013; Bianchi, A., Biffignandi, S.
- Online Data Collection in the Agro-Food Sector; 2012; Biffignandi, S., Artaz, R.
- Panel retention rate and data quality: experimental results drawing on Reciprocity design; 2012; Biffignandi, S., Artaz, R.
- Challenges and pitfalls of measuring wages via web surveys - some explorations; 2012; Steinmetz, S., Bianchi, A., Tijdens, K., Biffignandi, S.
- Web Surveys: Methodological Problems and Research Perspectives; 2012; Biffignandi, S., Bethlehem, J.
- Using survey data collection as a tool for improving the survey process; 2011; Biffignandi, S., Perani, G., Laureti, A.
- Modeling non-sampling errors and participation in Web surveys; 2010; Biffignandi, S.
- Imperfect frames and new data collection techniques ; 2009; Biffignandi, S.
- An experiment on the effects of non-response reweighting on estimators' precision in a web survey; 2009; Fabrizi, E., Biffignandi, S., Toninelli, D.
- The Electronic Questionnaire Experience in Business Surveys: mode effects on quality and on response...; 2009; Biffignandi, S., Siesto, G., Zeli, A.
- Calibration and Propensity Score Weighting in Web Surveys; 2007; Fabrizi, E., Biffignandi, S.