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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))

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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. 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 https://wwwn.cdc.gov/nchs/nhanes/ContinuousNhanes/Default.aspx?BeginYear=1999

  • 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. P., 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 

  • Kalton G., Kali J., Sigman R. (2014). Handling frame problems when address-based sampling is used for in-person household surveys. Journal of Survey Statistics and Methodology 2:283–304.

    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 

  • Kuusela V., Callegaro M., Vehovar V. (2008). The influence of mobile telephones on telephone surveys. In: Lepkowski J., Tucker N. C., Brick J. M., de Leeuw E., Japec L., Lavrakas P. J., Link M. W., Sangster R. L. (eds) Advances in Telephone Survey Methodology. John Wiley & Sons, Inc., Hoboken, NJ, chap 4, pp 87–112.

    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. (2017). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, URL https://www.R-project.org/

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

    Book  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

  • Valliant R., Hubbard F., Lee S., Chang W. (2014). Efficient use of commercial lists in U.S. household sampling. Journal of Survey Statistics and Methodology 2:182–209.

    Article  Google Scholar 

  • Wolter K., Smith P., Khare M. (2017). Statistical methodology of the national immunization survey, 2005–2014. Vital and Health Statistics (61), URL https://www.cdc.gov/nchs/data/series/sr_01/sr01_061.pdf

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Valliant, R., Dever, J.A., Kreuter, F. (2018). An Overview of Sample Design and Weighting. In: Practical Tools for Designing and Weighting Survey Samples. Statistics for Social and Behavioral Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-93632-1_1

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