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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Stratified Sampling
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Simple Random Sampling (SRS)
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Cluster Sampling
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Systematic Sampling
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Detailed explanation-1: -Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population. Each member of the population has an equal chance of being selected.
Detailed explanation-2: -Simple random sampling. In simple random sampling (SRS), each sampling unit of a population has an equal chance of being included in the sample. Consequently, each possible sample also has an equal chance of being selected. To select a simple random sample, you need to list all of the units in the survey population.
Detailed explanation-3: -Stratified sampling In this method, the population is first divided into subgroups (or strata) who all share a similar characteristic. It is used when we might reasonably expect the measurement of interest to vary between the different subgroups, and we want to ensure representation from all the subgroups.