Cluster sampling involves grouping sampling units, usually on a spatial or geographical basis (e.g., grouping households on the basis of neighborhood blocks) Clusters are then selected at random for the sample. Although cluster sampling is cheaper to undertake than other procedures, the statistical analysis associated with such sampling tends to be more difficult.