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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not clearly identified
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all professional athletes
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the few local professional athletes
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the small group of professional athletes who were observed
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Detailed explanation-1: -A researcher identifies professional athletes as a group of interest to test her research hypothesis. She then identifies a few local professional teams and selects a small group of the local athletes to be observed. In this example, the target population is: all professional athletes.
Detailed explanation-2: -Probability sampling requires that each member of the survey population has a known probability of being included in the sample, but it does not require that this probability be the same for everyone.
Detailed explanation-3: -Random sampling is the truest form of probability sampling. This type of sampling guarantees that each member of a population has an equal chance of being included in the sample. This type of sampling is ideal for more controlled studies where human bias in the selection of the sample is intolerable.
Detailed explanation-4: -Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population.