Explain Multistage Cluster Sampling?

joyoshibb 2022-08-12 Answered
Explain Multistage Cluster Sampling?
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Jason Petersen
Answered 2022-08-13 Author has 13 answers
Sampling refers to a process of statistical and systematic data collection. A sample is a small group of people that the researcher selects to fit his/her requirement for data collection. The sample represents a larger population.
There are two main sampling techniques in sociology. These are- probability sampling and non-probability.
Cluster sampling is a probability sampling process in which the population is divided into smaller groups for conducting a research study. Then random groups are selected from among those groups by using the method of systematic random sampling. Multi-stage cluster sampling is a complex form of cluster sampling in which the sample sizes decrease in each consecutive stage. In this form of sampling, the researcher selects random elements from each cluster to form a smaller cluster. It is a cost-effective form of survey and is more accurate than other types of cluster sampling. However, it is not as precise as Simple random sampling.
This is the concept of the multi-stage cluster sampling technique.
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