In recent years the focus of research in survey sampling has changed t
o include a number of nontraditional topics such as nonsampling errors
. In addition, the availability of data from large-scale sample survey
s, along with computers and software to analyze the data, have changed
the tools needed by survey sampling statisticians. It has also result
ed 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 bri
ngs together a panel of experts on survey sampling and teaching to dis
cuss their views on what should be taught in survey sampling classes a
nd how it should he taught.