multistage sampling


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multistage sampling

[¦məl·tə‚stāj ′sam·pliŋ]
(statistics)
A sampling method in which the population is divided into a number of groups or primary stages from which samples are drawn; these are then divided into groups or secondary stages from which samples are drawn, and so on.
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References in periodicals archive ?
The sampling design of the present research work falls in the domain of multistage sampling technique in which the first stage consisted of dividing the state of Punjab into selected high, medium and low wheat yield districts.
Prior to 2011, Gallup conducted surveys face-to-face, using a multistage sampling methodology.
We used a multistage sampling strategy with stratifi cation by district and a 3-level sampling process that involved villages, duck farms, and birds.
We accounted for the multistage sampling strategy in the data analyses by using survey commands in STATA version 10.
Others detail the positional identification of genes underlying complex traits in domestic animals, mycobacterial diseases, computational advances in multi-sequence alignment, the principles of microRNA function in vertebrate physiology and human disease, repetitive sequences in complex genomes, glycosylation disorders, annotating noncoding RNA genes, chromatin and gene expression, multistage sampling for genetic studies, and ethical and legal issues relating to biobanks.
One thousand seven hundred and sixteen (1716) students whose ages ranged from 13-17 years were drawn from secondary school female students in Benin metropolis, using the multistage sampling technique.
A multistage sampling technique was adopted in selecting both the samples of schools and the respondents.
Sampling for the reading assessment used a multistage sampling design that sampled students from selected schools within selected geographic areas across the country.
Primary sampling units: Comprehensive, mutually exclusive categories (often geographic areas, such as metropolitan statistical areas or counties) containing all persons or units of interest, usually identified in the first stage of a multistage sampling design.
A representative sample of the noninstitutionalized civilian US population was selected by use of a stratified multistage sampling design.
Traditional software packages often underestimate the variances of the weighted statistics because they fail to account for the multistage sampling design (Pfeffermann).
The methodology developed by the HCSUS consortium uses a flexible, provider-based approach to multistage sampling that minimizes the quantity of data necessary for implementation.

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