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Bill Wolff's Library tagged sampling →  View Popular

11 Sep 08

Survey Sampling Methods

  • Stratified sampling is commonly used
    probability method that is superior to random sampling
    because it reduces sampling error. A stratum is a subset
    of the population that share at least one common
    characteristic. Examples of stratums might be males and females, or managers and non-managers. The researcher first identifies the
    relevant stratums and their actual representation in the
    population. Random sampling is then used to select
    a sufficient number of subjects from each stratum. "Sufficient" refers to a sample size large enough for us to be reasonably confident that the stratum represents the
    population. Stratified sampling is often used when one or
    more of the stratums in the population have a low
    incidence relative to the other stratums.

Terrestrial Animal Health Code - 2007

  • Structured population-based surveys
  • Sampling

    The objective of sampling from a population is to select a subset of units from the population that is representative of the population with respect to the object of the study such as the presence or absence of infection. Sampling should be carried out in such a way as to provide the best likelihood that the sample will be representative of the population, within the practical constraints imposed by different environments and production systems. In order to detect the presence of an infection in a population of unknown disease status, targeted sampling methods that optimise the detection of infection can be used. In such cases, care should be taken regarding the inferences made from the results.

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