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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
http://www.census.gov/cps/.
- 2.
http://www.statcan.gc.ca/.
- 3.
http://www.cdc.gov/nchs/nhis.htm.
- 4.
http://www.cdc.gov/nis/.
References
Biemer P., Lyberg L. (2003). Introduction to Survey Quality. John Wiley & Sons, Inc., New Jersey
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
Groves R.M., Fowler F., Couper M., Lepkowski J., Singer E., Tourangeau R. (2004). Survey Methodology. John Wiley & Sons, Inc., New York
Iannacchione V.G. (2011). Research synthesis: The changing role of address-based sampling in surveys. Public Opinion Quarterly 75(3):556–576
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
Kish L. (1965). Survey Sampling. John Wiley & Sons, Inc., New York
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
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
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
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)
Tourangeau R., Kreuter F., Eckman S. (2012). Motivated underreporting in screening interviews. Public Opinion Quarterly 76(3):453–469
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
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6449-5_1
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6448-8
Online ISBN: 978-1-4614-6449-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)