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Preferred term

Probability.Stratified.DisproportionalProbability: Stratified: Disproportional  

Definition

  • The target population is subdivided into separate and mutually exclusive segments (strata) that cover the entire population. In disproportional sampling the number of units chosen from each stratum is not proportional to the population size of the stratum when viewed against the entire population. The number of sampled units from each stratum can be equal, optimal, or can reflect the purpose of the study, like oversampling of different subgroups of the population. For example, a country is divided into two regional strata that comprise 80 percent (West) and 20 precent (East) of the country's population. If equal representation of the two regions is needed in a study, half the sample may be drawn from the West and half from the East, so that each region is represented by 50 percent of the sample. If a more detailed analysis of the population from the East is needed, 40 percent of the units may be drawn from the West and 60 percent from the East, so that the East is over-represented.

Notation

  • Probability.Stratified.Disproportional

URI

http://rdf-vocabulary.ddialliance.org/cv/SamplingProcedure/1.1/#Probability.Stratified.Disproportional

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