The Difference Between Stratified Random Sampling and Cluster Sampling Is

question 26

Multiple Choice

The difference between stratified random sampling and cluster sampling is that in cluster sampling:

• A) a researcher must be able to secure a complete listing of the potential sampling units that make up a defined target population.
• B) a large number of respondents are interviewed in a relatively short time.
• C) the representativeness of a sample cannot be measured because sampling error estimates cannot be calculated.
• D) the sampling units are divided into mutually exclusive and collectively exhaustive subpopulations.
• E) a target population is separated into different groups.

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