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Chapter 7. The Logic Of Sampling Key Terms. Nonprobability sampling Technique in which samples are selected in a way that is not suggested by probability theory.

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chapter 7

Chapter 7

The Logic Of SamplingKey Terms

slide2
Nonprobability samplingTechnique in which samples are selected in a way that is not suggested by probability theory.
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Purposive (judgmental) samplingSelecting a sample based on the knowledge of a population, it's elements and the purpose of the study.
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Snowball samplingResearcher collects data on members of the target population that can be located, then asks those individuals to provide the information to locate other members.
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Quota samplingUnits are selected into a sample on the basis of prespecified characteristics, so the total sample will have the same distribution of characteristics assumed to exist in the population being studied.
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Probability samplingSamples are selected in accord with probability theory, typically involving some random selection mechanism.
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RepresentativenessQuality of a sample having the same distribution of characteristics as the population from which it was selected.
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EPSEMEqual probability of selection method.
  • ElementUnit about which information is collected and that provides the basis of analysis.
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PopulationThe theoretically specified aggregation of study elements.
  • Study populationAggregation of elements from which the sample is actually selected.
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Random selectionEach element has an equal chance of selection independent of any other event in the selection process.
  • Sampling unitElement or set of elements considered for selection in some stage of sampling.
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ParameterSummary description of a given variable in a population.
  • StatisticSummary description of a variable in a sample.
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Sampling errorThe degree of error to be expected of a given sample design.
  • Confidence levelExpression of the accuracy of sample statistics.
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Confidence intervalRange of values within which a population parameter is estimated to lie.
  • Sampling frameList or quasi list of elements from which a probability sample is selected.
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Simple random samplingBasic sampling method assumed in the statistical computations of social research.
  • Systematic samplingEvery kth element in the total list is chosen for inclusion in the sample.
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Sampling intervalStandard distance between elements selected in the sample.
  • Sampling ratioProportion of elements in the population that are selected.
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Cluster samplingA multistage sampling in which natural groups are sampled initially with the members of each selected group being subsampled afterward.
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PPSProbability proportionate to size.
  • WeightingGiving some cases more weight than others.