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CPHQ-2-Sampling Type

Definitions/Examples Types of Sampling

TermDefinitionExamplesProbabilty vs Nonprobability
simple random sampling everyone has an equal chance of being chosen pulling a name out of a hat containing all possible names probability (random) sampling, representative of the population
systematic sampling after randomly selecting the 1st case, draw every nth element from a population picking every 3rd name from a list of possible names probability (random) sampling, representative of the population
stratified random sampling after population is divided into two or more like (homogeneous) subpopulations, each member of a subpopulation has an equal probability of being selected strata (subpopulation) by sex, ethnicity, patients with certain diseases, or patients living in certain parts of the country probability (random) sampling, representative of the population
cluster sampling requires that the population be divided into groups if studying medical students…may only have a list of medical schools in the area…sample randomly derived from this list of medical schools probability (random) sampling, representative of the population
convenience sampling allows for use of any available group of subjects surveying members of an elder organization to capture opinions of all elders nonprobability (nonrandom) sampling, selected subjects may not reflect the population
snowball sampling subjects suggest other subjects for inclusion (subgroup of convenience sampling) subjects are recruited based on an informal network (subgroup of convenience sampling) nonprobability (nonrandom) sampling, selected subjects may not reflect the population
purposive or judgment sampling selects groups based on certain criteria based on researchers judgment about who is representative of the population using a group of nurses to represent a cross-section of women (as determined by researchers subjective opinion) nonprobability (nonrandom)sampling, selected subjects may not reflect the population
quota sampling researcher makes a judgment decision about the best type of sample to use, pre-specifying characteristics to increase its representativeness researcher pre-specifies characteristics of the sample to increase its representativeness nonprobability (nonrandom)sampling, selected subjects may not reflect the population
expert sampling selecting experts in each area because of their access to the information relevant to the study used in the Delphi technique (send several rounds of questions to experts to reach rapid group consensus) nonprobability (nonrandom)sampling, selected subjects may not reflect the population
Created by: smccall
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