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An Overview of Sample Design and Weighting

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Practical Tools for Designing and Weighting Survey Samples

Part of the book series: Statistics for Social and Behavioral Sciences ((SSBS,volume 51))

Abstract

This is a practical book. Many techniques used by survey practitioners are not covered by standard textbooks but are necessary to do a professional job when designing samples and preparing data for analyses. In this book, we present a collection of methods that we have found most useful in our own practical work. Since computer software is essential in applying the techniques, example code is given throughout.

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Notes

  1. 1.

    http://www.census.gov/cps/.

  2. 2.

    http://www.statcan.gc.ca/.

  3. 3.

    http://www.cdc.gov/nchs/nhis.htm.

  4. 4.

    http://www.cdc.gov/nis/.

References

  • Biemer P., Lyberg L. (2003). Introduction to Survey Quality. John Wiley & Sons, Inc., New Jersey

    Book  Google Scholar 

  • Center for Disease Control and Prevention (2009). National Health and Nutrition Examination Survey: 1999–2010 survey content URL www.cdc.gov/nchs/data/nhanes/survey_content_99_10.pdf

  • Eckman S., Kreuter F. (2011). Confirmation bias in housing unit listing. Public Opinion Quarterly 75(1):139–150

    Article  Google Scholar 

  • Groves R.M., Fowler F., Couper M., Lepkowski J., Singer E., Tourangeau R. (2004). Survey Methodology. John Wiley & Sons, Inc., New York

    MATH  Google Scholar 

  • Iannacchione V.G. (2011). Research synthesis: The changing role of address-based sampling in surveys. Public Opinion Quarterly 75(3):556–576

    Article  Google Scholar 

  • Iannacchione V.G., Staab J.M., Redden D.T. (2003). Evaluating the use of residential mailing lists in a metropolitan household survey. Public Opinion Quarterly 67(2):202–210

    Article  Google Scholar 

  • Kish L. (1965). Survey Sampling. John Wiley & Sons, Inc., New York

    MATH  Google Scholar 

  • Kostanich D., Dippo C.S. (2002). Current Population Survey: Design and methodology (technical paper 63RV). Tech. rep., Census Bureau and Bureau of Labor Statistics, Washington, DC

    Google Scholar 

  • Link M.W., Battaglia M.P., Frankel M.R., Osborn L., Mokdad A.H. (2008). A comparison of address-based sampling (ABS) versus random-digit dialing (RDD) for general population surveys. Public Opinion Quarterly 72(1):6–27

    Article  Google Scholar 

  • R Core Team (2012). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, URL http://www.R-project.org/

  • Särndal C., Swensson B., Wretman J. (1992). Model Assisted Survey Sampling. Springer, New York

    Book  MATH  Google Scholar 

  • Smith P.J., Hoaglin D.C., Battaglia M.P., Khare M., Barker L.E. (2005). Statistical methodology of the National Immunization Survey, 1994–2002. Vital and Health Statistics, National Center for Health Statistics 2(138)

    Google Scholar 

  • Tourangeau R., Kreuter F., Eckman S. (2012). Motivated underreporting in screening interviews. Public Opinion Quarterly 76(3):453–469

    Article  Google Scholar 

  • US Census Bureau (2002). Source and Accuracy of Estimates for Poverty in the United States: 2001. URL http://www.census.gov/prod/2002pubs/p60-219sa.pdf

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Valliant, R., Dever, J.A., Kreuter, F. (2013). An Overview of Sample Design and Weighting. In: Practical Tools for Designing and Weighting Survey Samples. Statistics for Social and Behavioral Sciences, vol 51. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6449-5_1

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