Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...

This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, p. 652). A total of 284 Swedish ...

The sampling strategy involves sampling \code {n_clusters_in_block} clusters in each stratum, and then sampling \code {n_i_in_cluster} units in each cluster. Outcomes within clusters have ...

Cluster sampling selects entire groups rather than individuals. For example, a consulting agency evaluating a bank's different branch performances would select entire branches rather than the ...

Discover the efficiency of adaptive cluster sampling (ACS) and ACS' in estimating population parameters of rare and clustered populations. Find out how the data-driven stopping rule enhances sample ...

In adaptive cluster sampling designs, an initial probability sample is selected and, whenever the observed value of the variable of interest satisfies a given condition, units in the neighborhood of ...