When should I use cluster sampling?
An example of an AI chatbot conversation about when to use cluster sampling in research.
When should I use cluster sampling in my research?
Cluster sampling is useful when your population is large and spread out, making it difficult to conduct a simple random sample.
Can you give me an example of when cluster sampling would be appropriate?
Sure! If you're studying the health of students in a large country, you might randomly select a few schools (clusters) and then survey all students in those schools.
What are the advantages of using cluster sampling?
Cluster sampling can save time and resources, as you only need to collect data from selected clusters rather than the entire population.
Are there any disadvantages I should be aware of?
Yes, one disadvantage is that it can introduce more sampling error if the clusters are not homogeneous, leading to less accurate results.
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