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Teaching Survey Sampling |
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| Authors: | Ronald S. Fecso William D. Kalsbeek Sharon L. Lohr Richard L. Scheaffer Elizabeth A. Stasny |
| Affiliation: | 1. USDA National Agricultural Statistics Service , Fairfax , VA , 22030-1501 , USA;2. Department of Biostatistics , University of North Carolina , Chapel Hill , NC , 27599-2400 , USA;3. Department of Mathematics , Arizona State University , Tempe , AZ , 85287-1804 , USA;4. Department of Statistics , University of Florida , Gainesville , FL , 32611 , USA;5. Department of Statistics , Ohio State University , Columbus , OH , 43210 , USA |
| Abstract: | In recent years the focus of research in survey sampling has changed to include a number of nontraditional topics such as nonsampling errors. In addition, the availability of data from large-scale sample surveys, along with computers and software to analyze the data, have changed the tools needed by survey sampling statisticians. It has also resulted in a diverse group of secondary data users who wish to learn how to analyze data from a complex survey. Thus it is time to reassess what we should be teaching students about survey sampling. This article brings together a panel of experts on survey sampling and teaching to discuss their views on what should be taught in survey sampling classes and how it should be taught. |
| Keywords: | Experience-based learning Statistical education. |