Compare and contrast probability samples and nonprobability samples. List the types of samples for each.
What will be an ideal response?
PROBABILITY SAMPLES. If the sample must be representative of the population, probability sampling is used. In this case, every element in the population has a known statistical likelihood of being selected. The types of probability samples are: simple random sample, stratified sample, cluster sample, and systematic sample.
NONPROBABILITY SAMPLES. Any sample in which there is no attempt to ensure representativeness is a nonprobability sample. Researchers cannot statistically calculate the reliability of the sample. The types of nonprobability samples are: convenience sample, judgment sample, quota sample, and snowball sample.
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Indicate whether the statement is true or false
Which statement is correct concerning the effect on subsequent questions?
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Indicate whether the statement is true or false
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Answer the following statement true (T) or false (F)