Web Survey Bibliography
This article reviews unit nonresponse in cross-sectional household surveys, the consequences of the nonresponse on the bias of the estimates, and methods of adjusting for it. We describe the development of models for nonresponse bias and their utility, with particular emphasis on the role of response propensity modeling and its assumptions. The article explores the close connection between data collection protocols, estimation strategies, and the resulting nonresponse bias in the estimates. We conclude with some comments on the current state of the art and the need for future developments that expand our understanding of the response phenomenon.
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Web survey bibliography - Brick, J. M. (13)
- Explorations in Non - Probability Sampling Using the Web; 2015; Brick, J. M.
- Unit Nonresponse and Weighting Adjustments: A Critical Review; 2013; Brick, J. M.
- Explaining rising nonresponse rates in cross-sectional surveys; 2012; Brick, J. M., Williams, Do.
- Optimizing Response Rates; 2012; Brick, J. M.
- The Future of Survey Sampling; 2011; Brick, J. M.
- Nonsampling errors in dual frame telephone surveys ; 2011; Brick, J. M., Flores Cervantes, I., Lee, S., Norman, G.
- Research synthesis. AAPOR report on online panels; 2010; Brick, J. M., Baker, R., Blumberg, S. J., Couper, M. P., Courtright, M., Dennis, J. M., Dillman, D....
- Response Mode and Bias Analysis in the IRS' Individual Taxpayer Burden Survey; 2010; Masken, K., Contos, G., Nord, R., Brick, J. M.
- AAPOR Report on Online Panels; 2010; P., Blumberg, S. J., Brick, J. M., Rivers, D. et. al.Baker, R. P.
- Response Mode and Bias Analysis in the IRS’ Individual Taxpayer Burden Survey; 2009; Brick, J. M., Contos, G., Masken, K., Nord, R.
- Nonsampling Error Research in Practice; 2009; Brick, J. M., Kalton, G.
- Sampling & Weighting Cell Phone Samples to Supplement RDD Surveys; 2008; Brick, J. M., Edwards, W. S., Lee, Sunghee
- An experiment in call scheduling; 2004; Cunningham, P., Martin, D., Brick, J. M.