Discussion
Multistage cluster sampling is helpful when :
Answer: D
Multistage cluster sampling helps in all these situations, so the answer is All of the above.
In multistage cluster sampling the researcher randomly selects large clusters, such as districts, then smaller clusters within them, such as schools, and finally individuals.
This is useful when the population is widely dispersed geographically, because data collection is concentrated in a few selected areas, which saves time and money on travel. And because selection is random at every stage, it remains a probability sample whose results can be generalised to the population. Each statement is a genuine advantage.
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