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Probability sampling
each member of the populationhas a specifiable probability of being chosen
Nonprobability sampling
probability of any given person in the population being chosen is unknown
Simple random sampling (probability)
each person has an equal probability ofbeing sampled
Stratified random sampling (probability)
divide population into strata (subgroups) based on certain dimension(s) and sample randomly from each group
Oversampling (probability)
a certain subgroup is such a small percent of apopulation that to be able to make comparisons researchersoversample that group
Cluster sampling (probability)
dentify groups of persons who are members of the population, randomly sample from the groups
Random Assignment
assigning human participants or animal subjects to different groups in an experiment (e.g., a treatment group versus a control group) using randomization, such as by a chance procedure (e.g., flipping a coin) or a random number generator.
Haphazard (nonprobability)
usually called “convenience” sampling, “get them where you can find them”, sample is probably biased and cannot be generalized
Purposive sampling (nonprobability)
find people in a large place who meet someset of criteria, watch to find these particular people
Quota sampling (nonprobability)
stratify the population and then find members ofeach subgroup haphazardly, fits the percentages of each group inthe population, but is NOT probability sampling
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