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10 Cards in this Set
- Front
- Back
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Probability sampling |
each member of the populationhas a specifiable probability of being chosen |
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Nonprobability sampling |
probability of any given person in the population being chosen is unknown |
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Simple random sampling (probability) |
each person has an equal probability ofbeing sampled |
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Stratified random sampling (probability) |
divide population into strata (subgroups) based on certain dimension(s) and sample randomly from each group |
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Oversampling (probability) |
a certain subgroup is such a small percent of apopulation that to be able to make comparisons researchersoversample that group |
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Cluster sampling (probability) |
dentify groups of persons who are members of the population, randomly sample from the groups |
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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. |
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Haphazard (nonprobability) |
usually called “convenience” sampling, “get them where you can find them”, sample is probably biased and cannot be generalized |
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Purposive sampling (nonprobability) |
find people in a large place who meet someset of criteria, watch to find these particular people |
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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 |
