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Implementing Adaptive Survey Design with an Application to the Dutch Health Survey


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Alabama R package. Available at: https://CRAN.Rproject=alabama (accessed June 2020).Search in Google Scholar

Bethlehem, J.G. 1988. “Reduction of Nonresponse Bias Through Regression Estimation.” Journal of Official Statistics 4(3): 251–260. https://www.scb.se/contentassets/-ca21efb41fee47d293bbee5bf7be7fb3/reduction-of-nonresponse-bias-through-regression-estimation.pdf (accessed May 2020).Search in Google Scholar

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. Available at: https://www150.statcan.gc.ca/n1/pub/12-001-x/2015002/article/14250-eng.htm (accessed june 2020).Search 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: https://doi.org/10.18148/srm/2016.v10i1.6157.Search in Google Scholar

Chun, A.Y., S.G. Heeringa, and B. Schouten. 2018. “Responsive and adaptive design for survey optimization.” Journal of Official Statistics 34(3): 581–597. DOI: https://doi.org/10.2478/jos-2018-0028.10.2478/jos-2018-0028Search in Google Scholar

De Heij, V., B. Schouten, and N. Shlomo. 2015. RISQ m2.1 manual. Tools in SAS and R for the computation of R-indicators and partial R-indicators, Available at www.risq-project.eu. (accessed june 2020).Search in Google Scholar

Groves, M.R. 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: Statistics in Society 169 (Part 3): 439–457. DOI: https://doi.org/10.1111/j.1467-985X.2006.00423.x.10.1111/j.1467-985X.2006.00423.xSearch in Google Scholar

Kaputa, S.J., and K.J. Thompson. 2017. “Adaptive design strategies for nonresponse follow-up in economic surveys.” Journal of Official Statistics 34(2): 445–462. DOI: https://doi.org/10.2478/jos-2018-0020.10.2478/jos-2018-0020Search in Google Scholar

Luiten, A. and B. Schouten. 2013. “Adaptive fieldwork design to increase representative household survey response. A pilot study in the Survey of Consumer Satisfaction.” Journal of Royal Statistical Society, Series A, 176(1): 169–190. DOI: https://doi.org/10.1111/j.1467-985X.2012.01080.x.10.1111/j.1467-985X.2012.01080.xSearch in Google Scholar

Moore, J.C., G.B. Durrant, and P.W.F. Smith. 2018. “Data set representativeness during data collection in three UK social surveys: generalizability and the effects of auxiliary covariate choice.” Journal of the Royal Statistical Society, Series A, 181(1): 229–248. DOI: https://doi.org/10.1111/rssa.12256.10.1111/rssa.12256Search in Google Scholar

Peytchev, A., S. Riley, J. Rosen, J. Murphy, and M. Lindblad. 2010. “Reduction of Nonresponse Bias through Case Prioritization.” Survey Research Methods 4: 21–29. DOI: https://doi.org/10.18148/srm/2010.v4i1.3037.Search in Google Scholar

rpart package. Available at: https://CRAN.Rproject.org/package=rpart. (accessed June 2020).Search in Google Scholar

Schouten, B., M. Calinescu, and A. Luiten. 2013. “Optimizing quality of response through adaptive survey designs.” Survey Methodology 39(1): 29–58. Available at: https://www150.statcan.gc.ca/n1/pub/12-001-x/2013001/article/11824-eng.htm (accessed June 2020).Search in Google Scholar

Schouten, J.G., F. Cobben, and J. Bethlehem. 2009. “Indicators for the representativeness of survey response.” Survey Methodology 35(1): 101–113. Available at: https://www150.statcan.gc.ca/n1/pub/12-001-x/2009001/article/10887-eng.pdf (accessed June 2020).Search in Google Scholar

Schouten, B., F. Cobben, P. Lundquist, and J. Wagner. 2016. “Does balancing survey response reduce nonresponse bias?” Journal of the Royal Statistical Society, Series A, 179(3): 727–748. DOI: https://doi.org/10.1111/rssa.12152.10.1111/rssa.12152Search in Google Scholar

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

Tourangeau, R., M. Brick, S. Lohr, and J. Li. 2017. “Adaptive and responsive survey designs: a review and assessment.” Journal of the Royal Statistical Society, Series A, 180(1): 203–223. DOI: https://doi.org/10.1111/rssa.12186.10.1111/rssa.12186Search in Google Scholar

Wagner, J. 2008. “Adaptive Survey Design to Reduce Nonresponse Bias.” PhD diss., University of Michigan, Ann Arbor, USA. Available at: https://deepblue.lib.umich.edu/bitstream/handle/2027.42/60831/jameswag_1.pdf?sequence=1&isAllowed=y (accessed June 2020).Search in Google Scholar

Wagner, J. 2013. “Adaptive contact strategies in telephone and face-to-face surveys.” Survey Research Methods 7(1): 45–55. DOI: https://doi.org/10.18148/srm/2013.v7i1.5037.Search in Google Scholar

Wagner, J. and F. Hubbard. 2013. “Using propensity models during data collection for responsive designs: Issues with estimation.” Paper presented at 68th AAPOR conference, May 16-19, Boston, USA. Available at: http://www.aapor.org/AAPOR_-Main/media/AnnualMeetingProceedings/2013/Session_H-7-4-Wagner.pdf (accessed June 2020).Search in Google Scholar

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Mathematik, Wahrscheinlichkeitstheorie und Statistik