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In a cluster sample, researchers divide subjects into strata (like cities, for example), randomly select a few strata (draw the names of a few cities from a hat) and sample every subject in those strata (question everyone in that city.)
A significant disadvantage is that you may select strata that completely overlook a feature relevant to your study.
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What is the difference between quota sampling and cluster sampling?
What is the difference between quota sampling and cluster sampling
Which sampling method is based on probability?
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
An exit poll is designed to?
They are an example of cluster sampling and are used because it is impractical to station interviewers at every polling place.
What are advantages and disadvantages in cluster sample?
Advantages of cluster sampling include that it's inexpensive, fast, and simple. A disadvantage is that it is known to have a high sampling error.
Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?
Answer is Quota sampling. Its one of the method of non-probability sampling.
