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Vocabulary terms and definitions regarding quantitative research sampling concepts, types of sampling, and sample size considerations based on lecture notes.
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Population
The aggregate of cases in which a researcher is interested.
Accessible population
The aggregate of cases that conform to designated criteria and that are accessible for a study.
Target population
The aggregate of cases about which the researcher would like to generalize.
Eligibility criteria
Criteria that specify population characteristics, also known as inclusive criteria.
Sampling
Selection of a portion of the population (a sample) to represent the entire population.
Element
Basic population unit about which information is collected.
Sample
A subset of population elements used to represent the entire population.
Strata
Subpopulations; mutually exclusive segment of a population.
Staged sample
Samples that are selected in multiple phases.
Sampling bias
The systematic over- or underrepresentation of segments of the population on key variables.
Snowball sampling
Also known as network sampling or chain sampling.
Power analysis
A method used in quantitative research to estimate sample size.