2. MEANING:
Splitting the population into similar parts or clusters can make
sampling more practical.Then we could select one or a few
clusters at random and perform a census within each of
them.This sampling design is called cluster sampling.
Clusters are more or less alike, each heterogeneous and
resembling the overall population.We select clusters to make
sampling more practical or affordable.
4. Types:
One stage – when all units in the selected cluster are selected.
Two stage – only some units from a selected cluster are taken using
simple random or systematic random sampling.
Advantages
Simple as complete list of sampling units within population not required
Low cost
Can estimate characteristics of both cluster and population
Less travel/resources required
Disadvantages
Potential problem is that cluster members are more likely to be alike,
than those in another cluster (homogenous).
Each stage in cluster sampling introduces sampling error—the
more stages there are, the more error there tends to be
Usually less expensive than SRS but not as accurate
Cluster sampling (contd.)