CLUSTER SAMPLING EXAMPLE EBOOK

Methods in Sample Surveys. Cluster Sampling. Saifuddin Ahmed. Dept. of Biostatistics. School of Hygiene and Public Health. Johns Hopkins University. For example, a researcher wants to survey academic performance of high school students in Spain. He can divide the entire population (population of Spain) into different clusters (cities). Then the researcher selects a number of clusters depending on his research through simple or systematic random sampling. For a stratified random sample, a population is divided into stratum, or sub-populations, before sampling. At first glance, the two techniques seem very similar. In cluster sampling, a researcher will only study selected clusters; with stratified sampling, a random sample is drawn from each strata.


CLUSTER SAMPLING EXAMPLE EBOOK

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CLUSTER SAMPLING EXAMPLE EBOOK


Use Cluster sampling is typically used in market research. For example, a researcher may be interested in data about city taxes in Florida.

The researcher would compile cluster sampling example from selected cities and compile them to get a picture about the state. The individual cities would be the clusters in this case. Cluster sampling is often more economical or more practical than stratified cluster sampling example or simple random sampling.

Cluster Sampling: Definition

Requirements Cluster elements should be as heterogenous as possible. In other words, the population should contain distinct subpopulations of different types.

CLUSTER SAMPLING EXAMPLE EBOOK

Cluster Sampling Cluster sampling refers to a type of sampling method. With cluster sampling, the researcher divides the population into separate groups, called clusters.

CLUSTER SAMPLING EXAMPLE EBOOK

Then, a simple random sample cluster sampling example clusters is selected from the population. When the increased sample size is sufficient to offset the loss in precision, cluster sampling may be the best choice.

What is Cluster Sampling?

When to Use Cluster Sampling Cluster sampling should be used only when it is economically justified - when reduced costs can cluster sampling example used to overcome losses in precision.

This is most likely to occur in the following situations.

Constructing a complete list of population elements is difficult, costly, or impossible. For example, it may not be possible to list all of the customers of a chain of hardware cluster sampling example.

CLUSTER SAMPLING EXAMPLE EBOOK

However, it would be possible to randomly select a subset cluster sampling example stores stage 1 of cluster sampling and then interview a random sample of customers who visit those stores stage 2 of cluster sampling. The population is concentrated in "natural" clusters city blocks, schools, hospitals, etc.

Statistics Dictionary

For example, cluster sampling example conduct personal interviews of operating room nurses, it might make sense to randomly select a sample of hospitals stage 1 of cluster sampling and then interview all of the operating room nurses at that hospital. Using cluster sampling, the interviewer could conduct many interviews in a single day at cluster sampling example single hospital.

Simple random sampling, in contrast, might require the interviewer to spend all day traveling to conduct a single interview at a single hospital.



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