JOS Special Issue on Responsive and Adaptive Survey Design: Looking Back to See Forward – Editorial

Calinescu, M., S. Bhulai, and B. Schouten. 2013. “Optimal Resource Allocation in Survey Designs.” European Journal of Operations Research 226(1): 115–121. Doi: https://doi.org/10.1016/j.ejor.2012.10.046.

Calinescu, M. and B. Schouten. 2015. “Adaptive Survey Designs to Minimize Mode Effects. A Case Study on the Dutch Labour Force Survey.” Survey Methodology 41(2): 403–425.

Calinescu, M. and B. Schouten. 2016. “Adaptive Survey Designs for Nonresponse and Measurement Error in Multi-Purpose Surveys.” Survey Research Methods 10(1): 35–47.

Chun, Y. 2009. Nonparticipation of the 12th graders in the National Assessment of Educational Progress: Understanding Determinants of Nonresponse and Assessing the Impact on NAEP Estimates of Nonresponse Bias According to Propensity Models. University of Maryland, College Park, USA. Available at: http://hdl.handle.net/1903/9916 (accessed June 20, 2017).

Chun, Y. and M. Kwanisai. 2010. “A Response Propensity Modeling Navigator for Paradata.” In Proceedings of the Survey Research Methods Section of the American Statistical Association, 356–369. Joint Statistical Meetings, Vancouver, Canada. Available at: http://ww2.amstat.org/sections/SRMS/Proceedings/y2010/Files/306125_55196.pdf (accessed June 20, 2017).

Chun, Y. and M. Larsen. (forthcoming). Administrative Records for Survey Methodology, Edited book, Wiley Series in Survey Methodology, John Wiley & Sons.

Chun, Y. and F. Scheuren. 2011. “Pandata Systems to Enhance Survey and Census Systems: Employing Administrative Data to Better Inform Public Policy.” Invited Paper Presented at the Joint Statistical Meetings, Miami Beach, FL, USA.

Couper, M.P. 1998. “Measuring Survey Quality in a CASIC Environment.” In Proceedings of the Section on Survey Research Methods of the American Statistical Association, Washington, DC.

Couper, M.P. and F. Kreuter. 2012. “Using Paradata to Explore Item Level Response Times in Surveys.” Journal of the Royal Statistical Society: Series A 176: 271–286. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1111/j.1467-985X.2012.01041.x.

Fienberg, S.E. 1994. “Conflicts Between the Needs for Access to Statistical Information and Demands for Confidentiality.” Journal of Official Statistics 10: 115–132.

Fienberg, S.E. and U.E. Makov. 1998. “Confidentiality, Uniqueness and Disclosure Limitation for Categorical Data.” Journal of Official Statistics 14: 385–397.

Fienberg, S.E. and L.C.R.J. Willenborg. 1998. “Introduction to the Special Issue: Disclosure Limitation Methods for Protecting the Confidentiality of Statistical Data.” Journal of Official Statistics 14: 337–345.

Groves, R.M. and S.G. 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: https://dx-doi-org.web.bisu.edu.cn/10.1111/j.1467-985X.2006.00423.x.

Groves, R.M. and E. Peytcheva. 2008. “The Impact of Nonresponse Rates on Nonresponse Bias - a Meta-Analysis.” Public Opinion Quarterly 72(2): 167–189. Doi: https://doi.org/10.1093/poq/nfn011.

Kreuter, F. 2013. Improving Surveys with Paradata. Analytic Use of Process Information. Edited book, Wiley Series in Survey Methodology, John Wiley & Sons.

Laflamme, F. and M. Karaganis. 2010. “Implementation of Responsive Collection Design for CATI Surveys at Statistics Canada.” Paper presented at Q2010, 3–6 May, Helsinki, Finland.

Little, R.J.A. 2006. “Calibrated Bayes: A Bayes/Frequentist Roadmap.” The American Statistician 60(3): 213–223. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1198/000313006X117837.

Nishimura, R., J. Wagner, and M.R. Elliott. 2016. “Alternative Indicators for the Risk of Non-Response Bias: A Simulation Study.” International Statistical Review 84(1): 43–62. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1111/insr.12100.

Nordbotten, S. 2010. “The Use of Administrative Data in Official Statistics - Past, Present, and Future - with Special Reference to the Nordic countries.” Official Statistics in Honour of Daniel Thorburn, 205–223. Norway.

Peytchev, A., S. Riley, J. Rosen, J. Murphy, and M. Lindblad. 2010. “Reduction of Nonresponse Bias in Surveys Through Case Prioritization.” Survey Research Methods 4(1): 21–29.

Schouten, B., M. Calinescu, and A. Luiten. 2013. “Optimizing Quality of Response Through Adaptive Survey Designs.” Survey Methodology 39(1): 29–58.

Schouten, B. and N. Shlomo. 2017. “Selecting Adaptive Survey Design Strata with Partial R-Indicators.” International Statistical Review 85(1): 143–163. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1111/insr.12159.

Tourangeau, R. 2017. “Mixing Modes: Tradeoffs among Coverage, Nonresponse, and Measurement Error.” In Total Survey Error in Practice, edited by P. Biemer, E. de Leeuw, S. Eckman, B. Edwards, F. Kreuter, L.E. Lyberg, N.C. Tucker, and B. West, New York: Wiley.

Tourangeau, R., M. Brick, S. Lohr, and J. Li. 2016. “Adaptive and Responsive Survey Designs: a Review and Assessment.” Journal of the Royal Statistical Society: Series A 180: 203–223. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1111/rssa.12186.

Wagner, J. 2008. “Adaptive Survey Design to Reduce Nonresponse Bias.” PhD thesis, University of Michigan, Ann Arbor, USA.

Wagner, J. 2012. “A Comparison of Alternative Indicators for the Risk of Nonresponse Bias.” Public Opinion Quarterly 76(3): 555–575. Doi: https://doi.org/10.1093/poq/nfs032.

Wagner, J., J. Arrieta, H. Guyer, and M.B. Ofstedal. 2014. “Does Sequence Matter in Multimode Surveys: Results from an Experiment.” Field Methods 26(2): 141–155. Doi: https://dx-doi-org.web.bisu.edu.cn/10.1177/1525822X13491863.

Walejko, G. and J. Wagner. 2015. “Challenges to Innovation in Face-to-Face Surveys Posed by Interviewer Noncompliance.” Paper presented at the American Association for Public Opinion Research, May 14–17, Hollywood, FA, USA.