CLUSTER SAMPLING

Cluster sampling is based on the ability of the researcher to divide a sampling population into groups (based upon a visible or easily identifiable characteristics), called clusters, and then select elements from each cluster using the SRS technique. Clusters can be formed on the basis of geographical proximity or a common characteristic that has a correlation with the main variable of the study (as in stratified sampling). Depending on the level of clustering, sometimes sampling may be done at different levels. These levels constitute the different stages (single, double or multiple) of clustering.

RELATED;

1.  NON PROBABILITY SAMPLING  

2.  ACCIDENTAL SAMPLING,