[Andersen, R., J. Kasper, M.R. Frankel, and Associates. 1979. Total Survey Error: Applications to Improve Health Surveys. San Francisco: Jossey-Bass.]Search in Google Scholar
[Beaumont, J.-F., C. Bocci, and D. Haziza. 2014. “An Adaptive Data Collection Procedure for Call Prioritization.” Journal of Official Statistics 30: 607–621. Doi: http://dx.doi.org/10.2478/jos-2014-0040.]Search in Google Scholar
[Bethlehem, J.G. and H.M.P. Kersten. 1985. “On the Treatment of Nonresponse in Sample Surveys.” Journal of Official Statistics 1: 287–300.]Search in Google Scholar
[Biemer, P.P. and L. Lyberg, eds. 2010. “Special Issue: Total Survey Error.” Public Opinion Quarterly 74(5).10.1093/poq/nfq058]Search in Google Scholar
[Brackstone, G. 1999. “Managing Data Quality in a Statistical Agency.” Survey Methodology 25: 139–149.]Search in Google Scholar
[Chang, T. and P. Kott. 2008. “Using Calibration Weighting to Adjust for Nonresponse under a Plausible Model.” Biometrika 95: 555–571. Available at: http://www.jstor.org/stable/20441486 (accessed March 2016).10.1093/biomet/asn022]Search in Google Scholar
[Eltinge, J.L., P.P. Biemer, and A. Holmberg. 2013. “A Potential Framework for Integration of Architecture and Methodology to Improve Statistical Production Systems.” Journal of Official Statistics 29: 125–145. Doi: http://dx.doi.org/10.2478/jos-2013-0007.]Search in Google Scholar
[Groves, R.M. 1989. Survey Errors and Survey Costs. New York: Wiley.10.1002/0471725277]Search in Google Scholar
[Groves, R.M. and S. Heeringa. 2006. “Responsive Design for Household Surveys: Tools for Actively Controlling Survey Errors and Costs.” Journal of the Royal Statistical Society, Series A 169: 439–457. Doi: http://dx.doi.org/10.1111/j.1467-985X.2006.00423.x.]Search in Google Scholar
[Johnson, T., D. O’Rourke, and E. Severns. 1998. “Effects of Question Context and Response Order on Attitude Questions.” Proceedings of the Section on Survey Research Methods, American Statistical Association, 857–860.]Search in Google Scholar
[Little, R.J.A. 1993. “Post-stratification: A Modeler’s Perspective.” Journal of the American Statistical Association 88: 1001–1012.10.1080/01621459.1993.10476368]Search in Google Scholar
[Little, R.J.A. and D.B. Rubin. 2002. Statistical Analysis with Missing Data, 2nd ed. Hoboken, NJ: Wiley.10.1002/9781119013563]Search in Google Scholar
[Sakshaug, J.W. and M. Huber. 2016. “An Evaluation of Panel Nonresponse and Linkage Consent Bias in a Survey of Employees in Germany.” Journal of Survey Statistics and Methdology 4: 71–93.10.1093/jssam/smv034]Search in Google Scholar
[Särndal, C-E., B. Swensson, and J. Wretman. 1992. Model-Assisted Survey Sampling. New York: Springer.10.1007/978-1-4612-4378-6]Search in Google Scholar
[Valliant, R., F. Hubbard, S. Lee, and C. Chang. 2014. “Efficient Use of Commercial Lists in U.S. Household Sampling.” Journal of Survey Statistics and Methodology 2: 182–209.10.1093/jssam/smu006554269328781972]Search in Google Scholar
[Weisberg, H.F. 2005. The Total Survey Error Approach: A Guide to the New Science of Survey Research. Chicago: University of Chicago Press.10.7208/chicago/9780226891293.001.0001]Search in Google Scholar