Teaching Survey Sampling
作者:
RonaldS. Fecso,
WilliamD. Kalsbeek,
SharonL. Lohr,
RichardL. Scheaffer,
FritzJ. Scheuren,
ElizabethA. Stasny,
期刊:
The American Statistician
(Taylor Available online 1996)
卷期:
Volume 50,
issue 4
页码: 328-340
ISSN:0003-1305
年代: 1996
DOI:10.1080/00031305.1996.10473562
出版商: Taylor & Francis Group
关键词: Experience-based learning;Statistical education.
数据来源: Taylor
摘要:
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.
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