the same people or units do not appear in more than one cluster).
There not be any overlap between clusters (i.e.Taken together, the clusters should cover the entire population.Each cluster should have a similar distribution of characteristics as the distribution of the population as a whole.
You want every potential characteristic of the entire population to be represented in each cluster. Each cluster’s population should be as diverse as possible.Ideally, you would like for your clusters to meet the following criteria: The quality of your clusters and how well they represent the larger population determines the validity of your results. This is the most important part of the process. PopulationIn your reading program study, your population is all the seventh-graders in your city. Step 1: Define your populationĪs with other forms of sampling, you must first begin by clearly defining the population you wish to study. You thus decide to use the cluster sampling method. However, you can easily obtain a list of all schools and collect data from a subset of these. It would be very difficult to obtain a list of all seventh-graders and collect data from a random sample spread across the city. Research exampleYou are interested in the average reading level of all the seventh-graders in your city. The simplest form of cluster sampling is single-stage cluster sampling. Frequently asked questions about cluster sampling.
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