Our complex society experiences an ever growing demand for statisticalinformation relating to social, demographic, industrial, economic, financial,political, and cultural situation of the country. Such information enables policymakers and others to take informed decisions for a better future. Sometimes,statistical information can be retrieved from administrative sources. More oftenthere is a lack of such sources. In this case, the sample survey is a powerfulinstrument to collect new statistical information.
A sample survey collects information on a small part of the population. In principle, this sample only provides information about the selected elements of the population. Nevertheless, if the sample is selected using a proper sampling design, it is also possible to make inference about the population as a whole.
Many things can go wrong when carrying out a survey. There are all kinds of phenomena that may have a negative impact on the quality of the survey outcomes. Nonresponse is...
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References and Further Reading
Bethlehem JG (2009) Applied survey methods – a statistical perspective. Wiley, Hoboken, NJ, USA
Bethlehem JG, Keller WJ (1987) Linear weighting of sample survey data. J Offici Stat 3:141–153
Deville JC, Särndal CE (1992) Calibration estimators in survey sampling. J Am Stat Assoc 87:376–382
Groves RM, Dillman DA, Eltinge JL, Little RJA (eds) (2001) Survey Nonresponse. Wiley, New York, USA
Kalton G, Kasprzyk D (1986) The Treatment of Missing Survey Data. Surv Methodol 12:1–16
Rubin DB (1979) Illustrating the use of multiple imputations to handle non-response in sample surveys. Bulletin of the International Statistical Institute. 48, Book 2, pp 517–532
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Bethlehem, J. (2011). Nonresponse in Surveys. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_42
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