Using proxy measures and other correlates of survey outcomes to adjust for non-response: examples from multiple surveys

  1. F. Kreuter1,
  2. K. Olson2,
  3. J. Wagner3,
  4. T. Yan4,
  5. T. M. Ezzati-Rice5,
  6. C. Casas-Cordero6,
  7. M. Lemay6,
  8. A. Peytchev7,
  9. R. M. Groves8,
  10. T. E. Raghunathan8

Article first published online: 17 NOV 2009

DOI: 10.1111/j.1467-985X.2009.00621.x

Issue

Journal of the Royal Statistical Society: Series A (Statistics in Society)

Journal of the Royal Statistical Society: Series A (Statistics in Society)

Volume 173, Issue 2, pages 389–407, April 2010

Additional Information

How to Cite

Kreuter, F., Olson, K., Wagner, J., Yan, T., Ezzati-Rice, T. M., Casas-Cordero, C., Lemay, M., Peytchev, A., Groves, R. M. and Raghunathan, T. E. (2010), Using proxy measures and other correlates of survey outcomes to adjust for non-response: examples from multiple surveys. Journal of the Royal Statistical Society: Series A (Statistics in Society), 173: 389–407. doi: 10.1111/j.1467-985X.2009.00621.x

Author Information

  1. 1

    University of Maryland, College Park, USA

  2. 2

    University of Nebraska, Lincoln, USA

  3. 3

    University of Michigan, Ann Arbor, USA

  4. 4

    National Opinion Research Center, Chicago, USA

  5. 5

    Agency for Healthcare Research and Quality, Rockville, USA

  6. 6

    University of Maryland, College Park, USA

  7. 7

    RTI International, Research Triangle Park, USA

  8. 8

    University of Michigan, Ann Arbor, USA

*F. Kreuter, Joint Program in Survey Methodology, 1218 LeFrak Hall, University of Maryland, College Park, MD 20742, USA. E-mail: fkreuter@survey.umd.edu

Publication History

  1. Issue published online: 1 MAR 2010
  2. Article first published online: 17 NOV 2009
  3. [Received August 2008. Final revision July 2009]

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