Statistics and Probability Dictionary
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Cluster sampling refers to a type of
. With cluster sampling, the researcher divides the
population into separate groups, called clusters. Then, a simple random sample
of clusters is selected from the population. The researcher conducts his
analysis on data from the sampled clusters.
, cluster sampling has advantages and disadvantages.
For example, given equal sample sizes, cluster sampling usually provides
less precision than either simple random sampling or stratified sampling. On
the other hand, if travel costs between clusters are high, cluster sampling may
be more cost-effective than the other methods.