Why do social scientists use cluster sampling? What are its advantages and drawbacks?
Definition of Cluster Sampling
Cluster sampling is a sampling technique where the entire population is divided into groups or clusters, and selection of a random sample of these clusters is done. All observations in the selected clusters are included in the sample.
Why do social scientists use cluster sampling?
Cluster sampling is used when the researcher cannot get a complete list of the members of a population they want to study but can get a complete list of groups or 'clusters' of the population.
Advantages of Cluster Sampling
Dis-Advantages of Cluster Sampling
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