1. bookVolume 34 (2018): Issue 3 (September 2018)
    Special Section on Responsive and Adaptive Survey Design
Journal Details
License
Format
Journal
eISSN
2001-7367
First Published
01 Oct 2013
Publication timeframe
4 times per year
Languages
English
Open Access

Responsive and Adaptive Design for Survey Optimization

Published Online: 01 Sep 2018
Volume & Issue: Volume 34 (2018) - Issue 3 (September 2018) - Special Section on Responsive and Adaptive Survey Design
Page range: 581 - 597
Journal Details
License
Format
Journal
eISSN
2001-7367
First Published
01 Oct 2013
Publication timeframe
4 times per year
Languages
English

Altman, R., P. Pizzo, R. Gibbons, K. Hudson, R. Jenkins, B. Lee, M. Lichtveld, M.L. Miranda, C. Perry, H. Zoghbi, and L. Jorgenson. 2014. National Children’s Study. Working Group NIH Advisory Committee to the Director Final Report. Bethesda, MD: National Institutes of Health. https://acd.od.nih.gov/documents/reports/NCS_WG_FINAL_REPORT.pdf.Search in Google Scholar

Brick, M. and R. Tourangeau. 2017. “Responsive Survey Designs for Reducing Nonresponse Bias.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 735–752. Doi: https://doi.org/10.1515/jos-2017-0034.10.1515/jos-2017-0034Open DOISearch in Google Scholar

Burger, J., K. Perryck, and B. Schouten. 2017. “Robustness of Adaptive Survey Designs to Inaccuracy of Design Parameters.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 687–708. Doi: https://doi.org/10.1515/jos-2017-0032.10.1515/jos-2017-0032Open DOISearch in Google Scholar

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. Doi: http://dx.doi.org/10.18148/srm/2016.v10i1.6157.Search in Google Scholar

Chun, A.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. http://hdl.handle.net/1903/9916.Search in Google Scholar

Chun, A.Y. 2012. “What Counts as Group Quarters? – A Glimpse of Census Cost-Data Quality Models.” Paper presented at the Joint Statistical Meetings, San Diego, U.S.A. (accessed July 30, 2012).Search in Google Scholar

Chun, A.Y. and M. Kwanisai 2010. “A Response Propensity Modeling Navigator for Paradata.” Proceedings of the Survey Research Methods Section of the American Statistical Association, Joint Statistical Meetings, Vancouver, Canada, 356–369. http://ww2.amstat.org/sections/SRMS/Proceedings/y2010/Files/306125_55196.pdf.Search in Google Scholar

Chun, A.Y., B. Schouten, and J. Wagner. 2017. JOS Special Issue on Responsive and Adaptive Design: “Looking Back to See Forward – Editorial.” In A.Y. Chun, B. Schouten, J. Wagner (Eds), JOS Special Issue on Responsive and Adaptive Design, Journal of Official Statistics, 33(3): 571–577. Available at: https://www.degruyter.com/downloadpdf/j/jos.2017.33.issue-3/jos-2017-0027/jos-2017-0027.pdf.10.1515/jos-2017-0027Search in Google Scholar

Dillman, D.A., J.D. Smyth, and L.M. Christian. 2014. Internet, Phone, Mail and Mixed-Mode Surveys: The Tailored Design Method (4th Ed.), Wiley.Search in Google Scholar

Durrant, G., O. Maslovskaya, and P. Smith. 2017. “Using Prior Wave Information and Paradata: “Can They Help to Predict Response Outcomes and Call Sequence Length in a Longitudinal Study?” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 801–833. Doi: https://doi.org/10.1515/jos-2017-0037.10.1515/jos-2017-0037Open DOISearch in Google Scholar

Early, K., J. Mankoff, and S. Fienberg. 2017. “Dynamic Question Ordering in Online Surveys.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 625–657. Doi: https://doi.org/10.1515/jos-2017-0030.10.1515/jos-2017-0030Open DOISearch in Google Scholar

Felligi, I.P. and A.B. Sunter. 1974. “Balance Between Different Sources of Survey Errors – Some Canadian Experiences.” Sankhya Series C Vol. 36(3): 119–142.Search in Google Scholar

Government Accountability Office 2015. 2020 Census: Progress Report on Using Administrative Records to Control Enumeration Costs. Testimony before the Subcommittees on Government Operations and information Technology, Committee on Oversight and Government Reform, House of Representatives, Washington DC. https://oversight.house.gov/wp-content/uploads/2015/11/Goldenkoff-GAO-Statement-11-3-Census-2020.pdf.Search in Google Scholar

Groves, R.M. 1989. Survey Errors and Survey Costs. New York: John Wiley and Sons.10.1002/0471725277Search in Google Scholar

Groves, R.M. 2011. “Three Eras of Survey Research.” The Public Opinion Quarterly 75(5): 861–871. https://doi.org/10.1093/poq/nfr057.10.1093/poq/nfr057Open DOISearch in Google Scholar

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: Statistics in Society 169(3): 439–457. Doi: https://doi.org/10.1111/j.1467-985X.2006.00423.x.10.1111/j.1467-985X.2006.00423.xOpen DOISearch in Google Scholar

Hansen, M.H. and W.N. Hurwitz 1946. “The Problem of Nonresponse in Surveys.” Journal of the American Statistical Association 41(236): 517–529. Doi: 10.1080/01621459.1946.10501894.10.1080/01621459.1946.1050189420279350Open DOISearch in Google Scholar

Kaminska, O. and P. Lynn 2017. “The Implications of Alternative Allocation Criteria in Adaptive Design for Panel Surveys.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 781–799. Doi: https://doi.org/10.1515/jos-2017-0036.10.1515/jos-2017-0036Open DOISearch in Google Scholar

Klausch, L.T. 2014. “Informed Design of Mixed-Mode Surveys: Evaluating Mode Effects on Measurement and Selection Error.” PhD Thesis, University Utrecht, The Netherlands. https://dspace.library.uu.nl/handle/1874/300673.Search in Google Scholar

Kreuter, F. 2013. Improving Surveys with Paradata: Analytic Uses of Process Information. New Work, U.S.A.: John Wiley & Sons.10.1002/9781118596869Search in Google Scholar

Lewis, T. 2017. “Univariate Tests for Phase Capacity: Tools for Identifying When to Modify a Survey’s Data Collection Protocol.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 601–624. Doi: https://doi.org/10.1515/jos-2017-0029.10.1515/jos-2017-0029Open DOISearch in Google Scholar

McCarthy, J., J. Wagner, and H. Sanders 2017. “The Impact of Targeted Data Collection on Nonresponse Bias in an Establishment Survey: A Simulation Study of Adaptive Survey Design.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 857–871. Doi: https://doi.org/10.1515/jos-2017-0039.10.1515/jos-2017-0039Open DOISearch in Google Scholar

Morganstein, D. and D.A. Marker. 1997. “Continuous Quality Improvement in Statistical Agencies.” In Survey Measurement and Process Quality edited by L.E. Lyberg, P.P. Biemer, M. Collins, E. De Leeuw, C. Dippo, N. Schwarz, and D. Trewin, 475–500. New York, U.S.A.: John Wiley & Sons.Search in Google Scholar

Mulry, M. and B. Spencer. 2012. “A Framework for Empirical Cost Modeling Relating Cost and Data Quality.” Paper presented at the 2012 International Total Survey Error Workshop (accessed September 3, 2012).Search in Google Scholar

Paiva, T. and J. Reiter. 2017. “Stop or Continue Data Collection: A Nonignorable Missing Data Approach for Continuous Variables.” 579–599. In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 579–599. Doi: https://doi.org/10.1515/jos-2017-0028.10.1515/jos-2017-0028Open DOISearch in Google Scholar

Plewis, I. and N. Shlomo 2017. “Using Response Propensity Models to Improve the Quality of Response Data in Longitudinal Studies.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 753–779. Doi: https://doi.org/10.1515/jos-2017-0035.10.1515/jos-2017-0035Open DOISearch in Google Scholar

Särndal, C. and P. Lundquist 2017. “Inconsistent Regression and Nonresponse Bias: Exploring Their Relationship as a Function of Response Imbalance.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 709–734. Doi: https://doi.org/10.1515/jos-2017-0033.10.1515/jos-2017-0033Open DOISearch in Google Scholar

Schouten, B., A. Peytchev, and J. Wagner 2017. Adaptive Survey Design. Chapman and Hall.10.1201/9781315153964Search in Google Scholar

Thompson, K.J. and S. Kaputa 2017. “Investigating Adaptive Nonresponse Follow-up Strategies for Small Businesses through Embedded Experiments.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 835–856. Doi: https://doi.org/10.1515/jos-2017-0038.10.1515/jos-2017-0038Open DOISearch in Google Scholar

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: http://dx.doi.org/10.1111/rssa.12186.10.1111/rssa.12186Open DOISearch in Google Scholar

U.S. Census Bureau. 2017. 2020 Census Operational Plan v3.0: A New Design for the 21st Century. Washington D.C. https://www2.census.gov/programs-surveys/decennial/2020/program-management/planning-docs/2020-oper-plan3.pdf.Search in Google Scholar

Vandenplas, C., G. Loosveldt, and K. Beullens. 2017. “Fieldwork Monitoring for the European Social Survey: an illustration with Belgium and the Czech Republic in Round 7.” In A.Y. Chun, B. Schouten, and J. Wagner (Eds), Special Issue on Responsive and Adaptive Design, Journal of Official Statistics 33(3): 659–686. Doi: https://doi.org/10.1515/jos-2017-0031.10.1515/jos-2017-0031Open DOISearch in Google Scholar

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

Wagner, J., K. Olson, and R. Anderson. 2016. “Survey Costs: The Missing Half of the “Cost-Error.” Tradeoff, Paper presented at the Joint Statistical Meetings, Chicago, IL, USA.Search in Google Scholar

Wald, A. 1947. Sequential Analysis. Toronto, Canada: General Publishing Co.Search in Google Scholar

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