What is the goal of multistage sampling?

Multistage sampling is a complex form of sampling that involves selecting samples in stages, using smaller and smaller sampling units at each stage. The key goal of this method is to combine multiple sampling techniques to gather diverse data that accurately reflects a larger population. By employing a variety of sampling strategies, researchers can achieve greater efficiency and effectiveness in their data collection, ultimately making it easier to access hard-to-reach populations while ensuring that the sample is representative of the broader population.

This approach allows researchers to refine their samples through successive layers, such as selecting clusters first and then sampling individuals within those clusters, thereby enhancing the reliability and diversity of the resulting data. Each stage can use different techniques to address various aspects of the survey, thereby maximizing the quality and breadth of information gathered.