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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Sampling bias
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Fallacy
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Population Bias
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Generalization
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Detailed explanation-1: -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.
Detailed explanation-2: -There are two major sampling procedures in research. These include probability and non probability sampling. In probability sampling, everyone has an equal chance of being selected. This scheme is one in which every unit in the population has a chance (greater than zero) of being selected in the sample.
Detailed explanation-3: -Stratified random sample: The population is first split into groups. The overall sample consists of some members from every group. The members from each group are chosen randomly.