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Indicators for monitoring and improving representativeness of response

Citations

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Cited by:

  1. Barry Schouten & Natalie Shlomo, 2017. "Selecting Adaptive Survey Design Strata with Partial R-indicators," International Statistical Review, International Statistical Institute, vol. 85(1), pages 143-163, April.
  2. Olga Maslovskaya & Peter Lugtig, 2022. "Representativeness in six waves of CROss‐National Online Survey (CRONOS) panel," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 851-871, July.
  3. Rebecca Andridge & Katherine Jenny Thompson, 2015. "Using the Fraction of Missing Information to Identify Auxiliary Variables for Imputation Procedures via Proxy Pattern-mixture Models," International Statistical Review, International Statistical Institute, vol. 83(3), pages 472-492, December.
  4. Friedel Sabine & Birkenbach Tim, 2020. "Evolution of the Initially Recruited SHARE Panel Sample Over the First Six Waves," Journal of Official Statistics, Sciendo, vol. 36(3), pages 507-527, September.
  5. Särndal Carl-Erik & Lundquist Peter, 2017. "Inconsistent Regression and Nonresponse Bias: Exploring Their Relationship as a Function of Response Imbalance," Journal of Official Statistics, Sciendo, vol. 33(3), pages 709-734, September.
  6. Carina Cornesse & Ulrich Krieger & Marie‐Lou Sohnius & Marina Fikel & Sabine Friedel & Tobias Rettig & Alexander Wenz & Sebastian Juhl & Roni Lehrer & Katja Möhring & Elias Naumann & Maximiliane Reife, 2022. "From German Internet Panel to Mannheim Corona Study: Adaptable probability‐based online panel infrastructures during the pandemic," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 773-797, July.
  7. Silvia Biffignandi & Alessandro Zeli, 2022. "Building panels from archives: the longitudinal representativity," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 121-138, April.
  8. Stephanie Coffey, PhD. & Jaya Damineni & John Eltinge, PhD. & Anup Mathur, PhD. & Kayla Varela & Allison Zotti, 2023. "Some Open Questions on Multiple-Source Extensions of Adaptive-Survey Design Concepts and Methods," Working Papers 23-03, Center for Economic Studies, U.S. Census Bureau.
  9. Särndal Carl-Erik & Traat Imbi & Lumiste Kaur, 2018. "Interaction Between Data Collection And Estimation Phases In Surveys With Nonresponse," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 183-200, June.
  10. Earp Morgan & Toth Daniell & Phipps Polly & Oslund Charlotte, 2018. "Assessing Nonresponse in a Longitudinal Establishment Survey Using Regression Trees," Journal of Official Statistics, Sciendo, vol. 34(2), pages 463-481, June.
  11. Jamie C. Moore & Gabriele B. Durrant & Peter W. F. Smith, 2021. "Do coefficients of variation of response propensities approximate non‐response biases during survey data collection?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 301-323, January.
  12. Kaminska Olena & Lynn Peter, 2017. "The Implications of Alternative Allocation Criteria in Adaptive Design for Panel Surveys," Journal of Official Statistics, Sciendo, vol. 33(3), pages 781-799, September.
  13. Li-Chun Zhang & Ib Thomsen & Øyvin Kleven, 2013. "On the Use of Auxiliary and Paradata for Dealing With Non-sampling Errors in Household Surveys," International Statistical Review, International Statistical Institute, vol. 81(2), pages 270-288, August.
  14. Barry Schouten & Fannie Cobben & Peter Lundquist & James Wagner, 2016. "Does more balanced survey response imply less non-response bias?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 727-748, June.
  15. Luiten Annemieke & Hox Joop & de Leeuw Edith, 2020. "Survey Nonresponse Trends and Fieldwork Effort in the 21st Century: Results of an International Study across Countries and Surveys," Journal of Official Statistics, Sciendo, vol. 36(3), pages 469-487, September.
  16. Thais Paiva & Jerry Reiter, 2014. "Using Imputation Techniques To Evaluate Stopping Rules In Adaptive Survey Design," Working Papers 14-40, Center for Economic Studies, U.S. Census Bureau.
  17. Silvia Biffignandi & Alessandro Zeli, 2021. "Longitudinal business data construction and quality: Two different approaches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(2), pages 92-114, May.
  18. Brick J. Michael, 2013. "Unit Nonresponse and Weighting Adjustments: A Critical Review," Journal of Official Statistics, Sciendo, vol. 29(3), pages 329-353, June.
  19. Jamie C. Moore & Peter W. F. Smith & Gabriele B. Durrant, 2018. "Correlates of record linkage and estimating risks of non‐linkage biases in business data sets," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1211-1230, October.
  20. Carl-Erik Särndal & Imbi Traat & Kaur Lumiste, 2018. "Interaction Between Data Collection And Estimation Phases In Surveys With Nonresponse," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 183-200, June.
  21. Lundquist Peter & Särndal Carl-Erik, 2013. "Aspects of Responsive Design with Applications to the Swedish Living Conditions Survey," Journal of Official Statistics, Sciendo, vol. 29(4), pages 557-582, December.
  22. Osier, Guillaume, 2016. "Unit non-response in household wealth surveys," Statistics Paper Series 15, European Central Bank.
  23. Aneta Chmielewska & Małgorzata Renigier-Biłozor & Artur Janowski, 2022. "Representative Residential Property Model—Soft Computing Solution," IJERPH, MDPI, vol. 19(22), pages 1-24, November.
  24. Roberts Caroline & Herzing Jessica M.E. & Vandenplas Caroline, 2020. "A Validation of R-Indicators as a Measure of the Risk of Bias using Data from a Nonresponse Follow-Up Survey," Journal of Official Statistics, Sciendo, vol. 36(3), pages 675-701, September.
  25. Paiva Thais & Reiter Jerome P., 2017. "Stop or Continue Data Collection: A Nonignorable Missing Data Approach for Continuous Variables," Journal of Official Statistics, Sciendo, vol. 33(3), pages 579-599, September.
  26. Plewis Ian & Shlomo Natalie, 2017. "Using Response Propensity Models to Improve the Quality of Response Data in Longitudinal Studies," Journal of Official Statistics, Sciendo, vol. 33(3), pages 753-779, September.
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