REPORTING AND THESIS WRITING
DETERMINING EXPERIMENTAL AND SAMPLE DESIGNS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Convenience Sampling
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Simple Random Sampling
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Stratified Random Sampling
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Cluster Sampling
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Detailed explanation-1: -Stratified random sampling is a method of sampling that involves the division of a population into smaller subgroups known as strata. In stratified random sampling, or stratification, the strata are formed based on members’ shared attributes or characteristics, such as income or educational attainment.
Detailed explanation-2: -An example of single-stage cluster sampling – An NGO wants to create a sample of girls across five neighboring towns to provide education. Using single-stage sampling, the NGO randomly selects towns (clusters) to form a sample and extend help to the girls deprived of education in those towns.
Detailed explanation-3: -Researchers use stratified sampling to ensure specific subgroups are present in their sample. It also helps them obtain precise estimates of each group’s characteristics. Many surveys use this method to understand differences between subpopulations better.