Cluster sampling: Definition, application, advantages and disadvantages
Cluster sampling is a valuable and practical probability sampling method widely used in research when dealing with large, dispersed populations. It involves dividing the population into distinct groups, called clusters, then randomly selecting some of these clusters and collecting data from either all or a sample of individuals within the chosen clusters. This approach offers … Read more