Abstract
Web panels are becoming more and more popular for data collection. They present specific problems and advantages with respect to the usual modes of collection. This paper analyzes possible re-weighting adjustments for non-response in panel data. Different weighting schemes are evaluated by means of a simulation study based on real data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
AAPOR. (2010). Research synthesis: AAPOR report on online panels. Public Opinion Quarterly, 74, 711–781. doi: 10.1093/poq/nfq048.
Asma, S. (2012). Minxent: Entropy optimization distributions. R package version 0.01. http://CRAN.R-project.org/package=minxent
Bethlehem, J., & Biffignandi, S. (2012). Handbook of web surveys. Hoboken: Wiley.
Chen, J., & Qin, J. (1993). Empirical likelihood estimation for finite population and the effective usage of auxiliary information. Biometrika, 80, 107–116.
Chen, J., & Sitter, R. R. (1999). A pseudo empirical likelihood approach to the effective use of auxiliary information in complex surveys. Statistica Sinica, 9, 385–406.
Deville, J. C., & Sarndal, C. E. (1992). Calibration estimators in survey sampling. Journal of the American Statistical Association, 87, 376–382.
Fuller, W. A., Loughin, M. M., & Baker, H. D. (1994). Regression weighting in the presence of nonresponse with application to the 1987–1988 Nationwide Food Consumption Survey. Survey Methodology, 20, 75–85.
Jaynes, E. T. (1957). Information theory and statistical mechanics. Physical Review, 106, 620–630.
Kapur, J. N., & Kesavan, H. K. (1992). Entropy optimization principles with applications. Boston: Academic.
Knoef, M., & de Vos, K. (2009). The representativeness of LISS, an online probabilitypanel. http://www.lissdata.nl/lissdata/About_the_Panel/Composition_&_Response. https://www.lisspanel.nl/assets/uploaded/representativeness_LISS_panel.pdf
Kott, P. S. (2006). Using calibration to adjust for nonresponse and coverage errors. Survey Methodology, 32, 133–142.
Kott, P. S., & Chang, T. (2010). Using calibration weighting to adjust for nonignorable unit nonresponse. Journal of the American Statistical Association, 105, 1265–1275.
Mattos, R., & Viega, A. (2004). Entropy optimization: Computer implementation of the maxent and mixent principles, Working Paper.
Pérez-Duarte, S., Sanchez-Munos, C., & Tormalehto, V. M. (2010). Re-weighting to reduce unit non-response bias in household wealth surveys: a cross-country comparative perspective illustrated by a case study. http://www.ecb.int/home/pdf/research/hfcn/WealthSurveys.pdf?ee6a2f5e725b2ffcb7810e151fb7e304.
Sarndal, C. E., & Lundstrom, S. (2005). Estimation in surveys with non response. New York: Wiley.
Sarndal, C. E., Swensson, B., & Wretman, J. (1992). Model assisted survey sampling. New York: Springer.
Scherpenzeel, A. (2009). Start of the LISS panel: Sample and recruitment of a probability-based Internet panel. http://www.lissdata.nl/lissdata/About_the_Panel/Sample_&_Recruitment. http://www.lissdata.nl/assets/uploaded/Sample%20and%20Recruitment_1.pdf
Tillé, Y., & Matei, A. (2012). Sampling: Survey sampling. R package version 2.5. http://CRAN.R-project.org/package=sampling
Acknowledgments
The paper is supported by the ex 60 % University of Bergamo, Biffignandi grant and PAADEL project (Lombardy Region—University of Bergamo joint project). The authors are thankful to the anonymous referee for valuable comments and remarks. Paper within Cost Action is 1004 activities.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Bianchi, A., Biffignandi, S. (2013). Web Panel Representativeness. In: Giudici, P., Ingrassia, S., Vichi, M. (eds) Statistical Models for Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00032-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-00032-9_5
Published:
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00031-2
Online ISBN: 978-3-319-00032-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)