Cluster Sampling

Definition

Cluster sampling is a sampling technique where the population is divided into groups or clusters, and a random sample of clusters is selected. Then, all individuals within the selected clusters are included in the sample.

Related terms

Stratified Sampling: This term refers to dividing the population into subgroups based on certain characteristics and then selecting samples from each subgroup.

Random Sampling: This term refers to selecting individuals for a sample in such a way that every individual has an equal chance of being chosen.

Convenience Sampling: This term refers to choosing individuals who are readily available or easy to reach as participants for a study.