Cluster Sampling
Definition
Cluster sampling is a sampling technique where the population is divided into groups or clusters, and a random sample of clusters is selected. Then, all individuals within the selected clusters are included in the sample.
Analogy
Imagine you're at a music festival with multiple stages. Instead of individually selecting people from each stage, you randomly choose a few stages and include everyone from those stages in your sample.
Related terms
Stratified Sampling: This term refers to dividing the population into subgroups based on certain characteristics and then selecting samples from each subgroup.
Random Sampling: This term refers to selecting individuals for a sample in such a way that every individual has an equal chance of being chosen.
Convenience Sampling: This term refers to choosing individuals who are readily available or easy to reach as participants for a study.
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