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- Cluster sampling is a sampling technique where the population is divided into groups or clusters, and a random sample of these clusters is selected for analysis1234. Here are some examples of cluster sampling:
- A researcher is interested in studying the prevalence of obesity in the United States. She divides the country into regions and randomly selects several states from each region1.
- A company wants to conduct a customer satisfaction survey of its retail stores14.
- A public health agency wants to estimate the prevalence of a rare disease in a large city1.
- A population‐based epidemiologic study of irritable bowel syndrome in South China: stratified randomized study by cluster sampling3.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Here are some examples of cluster sampling:
- A researcher is interested in studying the prevalence of obesity in the United States. She divides the country into regions and randomly selects several states from each region. ...
researchmethod.net/cluster-sampling/An example of cluster sampling is area sampling or geographical cluster sampling. Each cluster is a geographical area in an area sampling frame. Because a geographically dispersed population can be expensive to survey, greater economy than simple random sampling can be achieved by grouping several respondents within a local area into a cluster.en.wikipedia.org/wiki/Cluster_samplingA population‐based epidemiologic study of irritable bowel syndrome in South China: stratified randomized study by cluster sampling.www.simplypsychology.org/cluster-sampling.htmlRetail companies often use clustering to identify groups of households that are similar to each other. For example, a retail company may collect the following information on households: Household income Household size Head of household Occupation Distance from nearest urban areawww.statology.org/cluster-analysis-real-life-exampl… - People also ask
Learn how to use cluster sampling to study large and widely dispersed populations. See the steps, advantages, disadvantages, and multistage options with examples. See more
In multistage cluster sampling, rather than collect data from every single unit in the selected clusters, you randomly select individual units from within the cluster to use as your sample. You can then collect data from each of these individual units – this is known as … See more
Cluster sampling is commonly used for its practical advantages, but it has some disadvantages in terms of statistical validity. See more
If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples. See more
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