Cluster random sampling in population survey
- PubMed: 12159395
Abstract
Cluster random sampling is a method of performing population surveys through the selection of different clusters. Current existing clusters from the population can be easily utilized for sampling, and data can be collected conveniently because of appropriate and concentrated units in population surveys. The flexibility, however, is restricted because the number of population units in each cluster may differ and the distribution of population survey units in the entire population is not even. In order to achieve flexibility for cluster random sampling in population surveys, we have to divide population clusters must be well divided, and uniformity must be maintained for all population clusters, and the random sampling rate for each population cluster should remain the same. The next step is to reduce the scale for each population cluster and increase the number of clusters, so that cluster samples may be evenly distributed throughout the entire population, and the population sampling clusters may reflect the overall nature of the entire population.
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