METHODS OF DATA COLLECTION
CONCEPT OF SAMPLING AND OTHER CONCEPTS RELATED TO SAMPLING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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simple random sampling
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cluster sampling
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convenience sampling
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stratified sampling
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Detailed explanation-1: -In cluster sampling, researchers divide a population into smaller groups known as clusters. They then randomly select among these clusters to form a sample. Cluster sampling is a method of probability sampling that is often used to study large populations, particularly those that are widely geographically dispersed.
Detailed explanation-2: -Cluster sampling is a method of probability sampling where researchers divide a large population up into smaller groups known as clusters, and then select randomly among the clusters to form a sample.
Detailed explanation-3: -Cluster sampling Cluster sampling also involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample. Instead of sampling individuals from each subgroup, you randomly select entire subgroups.