Cluster Sampling Advantages

Cluster Sampling Advantages

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  Consumes less time and cost: Sampling of geographic segmentation divided groups requires less work, time, and cost. It’s a highly economical method to observe clusters instead of randomly doing them throughout a particular region by allocating a limited number of resources to those selected clusters.
  
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  Convenient access: Researchers can choose large samples with this convenience sampling technique, and that will increase accessibility to various clusters.
  
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  Data accuracy: Since there can be large samples in each cluster, loss of data accuracy in information per individual can be compensated.
  
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  Ease of implementation: Cluster sampling facilitates information from various areas and groups. Researchers can quickly implement it in practical situations compared to other probability sampling methods.