Cluster sampling is a form of random sampling where the entire population is divided into groups or clusters and random sampling is used to select specific clusters;
Cluster sampling is similar to simple random technique. The difference is that in simple random design, the individual is the subject while in cluster sampling, the cluster is the subject i.e. in the selected clusters, all the persons or items are included in the sample to ensure representativeness.
This lesson will:
- Explain the meaning of cluster random sampling design;
- State the steps followed when using cluster random sampling design;
- Explain the strengths and limitations of cluster random sampling design.