Multi-stage sampling (also known as multi-stage cluster sampling) is a more complex form of cluster sampling which contains two or more stages in sample selection. In simple terms, in multi-stage sampling large clusters of population are divided into smaller clusters in several stages in order to make primary data collection more manageable. It has to be acknowledged that multi-stage sampling is not as effective as true random sampling; however, it addresses certain disadvantages associated with true random sampling such as being overly expensive and time-consuming.
CITATION STYLE
Multi-stage Sampling. (2006). In Sampling Methods (pp. 159–207). Springer-Verlag. https://doi.org/10.1007/0-387-31075-4_5
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