nursing research exam 2 (chp 9)

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14 Terms

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sampling

selection of a portion of the population to represent the entire population

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sampling bias

overrepresenting or underrepresenting population segment in terms of key characteristics

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representative sample

a sample whose key characteristics closely approximate those of the population - a sampling goal in quantitative research

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nonprobability sampling

does not involve selection of elements at random; is rarely representative of the population

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probability sampling

involves random selection of elements: each element has an equal, independent chance of being selected

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convenience sampling

selecting the most conveniently available people as participants

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quota sampling

identifying population strata and figuring out how many people are needed from each stratum

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consecutive sampling

recruiting all people from an accessible population over a specific time interval

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purposice sampling

handpicking sample members

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simple random sampling

researchers establish a sampling frame a list of population elements

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stratified random sampling

the population is first divided into two or more strata, from which elements are randomly selected

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systematic sampling

involves the selection of every kth case from a last, such as every 10th person on a patient list

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time sampling

sampling of time intervals for observation

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event sampling

observation of integral events; requires researchers to either know when events will occur or wait for their occurrence