The process of multistage sampling involves several steps:
1. Primary Stage (First Stage): The population is divided into clusters or groups. For example, this could be by geographic region, such as states or provinces. 2. Secondary Stage: Within each selected cluster, further sub-clusters are identified. For instance, within a selected state, cities or towns might be chosen. 3. Tertiary Stage: If needed, another level of sub-clustering is performed, such as selecting neighborhoods within towns. 4. Final Stage: Individual units (e.g., households or persons) are then randomly selected from the final sub-clusters.
