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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People select themselves
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Find anyone who is around at the time
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The sample reflects the proportions of people in subgroups in a population
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Everyone in the target population has an equal chance of being picked
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Detailed explanation-1: -What is stratified sampling? In stratified sampling, researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment). Once divided, each subgroup is randomly sampled using another probability sampling method.
Detailed explanation-2: -Stratified random sampling accurately reflects the population being studied because researchers are stratifying the entire population before applying random sampling methods. In short, it ensures each subgroup within the population receives proper representation within the 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.