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What is Understanding Cluster Sampling Techniques about?
Cluster sampling is a probability sampling method where the population is divided into clusters, and a sample of these clusters is selected to collect data from all elements within them. This technique is useful when a complete sampling frame is unavailable or when the population is geographically dispersed, making data collection costly. Advantages include lower costs and administrative convenience, while disadvantages include potential lack of diversity and higher standard errors compared to other samplin
- Author
- FarDin Anik
- Language
- EN