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Related to Cluster sampling: Systematic sampling, Convenience Sampling


the selection of part of a total population of consumers or products whose behaviour or performance can be analysed, in order to make inferences about the behaviour or performance of the total population, without the difficulty and expense of undertaking a complete census of the whole population.

Samples may be chosen randomly, with every consumer or product in the population having an equal chance of being included. Random samples are most commonly used by firms in QUALITY CONTROL where they are used as a basis for selecting products, components or materials for quality testing.

Alternatively, samples may be chosen by dividing up the total population into a number of distinct sub-groups or strata, then selecting a proportionate number of consumers or products from each sub-group since this is quicker and cheaper than random sampling. In MARKETING RESEARCH and opinion polling, quota sampling is usually employed where interviewers select the particular consumers to be interviewed, choosing the numbers of these consumers in proportion to their occurrence in the total population.

Samples may be:

  1. cross-sectional, where sample observations are collected at a particular point in time, for example data on company sales and the incomes of consumers in the current year, embracing a wide range of different income groups, as a basis for investigating the relationship between sales and income;
  2. longitudinal, where sample observations are collected over a number of time periods, for example data on changes in company sales over a number of years and changes in consumer incomes over the same time periods, as a basis for investigating the relationship between sales and income. See STATISTICAL INFERENCES, QUESTIONNAIRE.
References in periodicals archive ?
Developing a stratified adaptive cluster sampling plan.
htm, explains how to perform cluster sampling and conduct field assessments.
Bootstrap confidence intervals for adaptive cluster sampling.
The design effect for cluster sampling depends on the cluster sizes and the strength of the correlation within the clusters, hence the need for estimates of ICC values.
34) Since the study entailed a cluster sampling design, data were set up with the survey design function utilising the svy commands for handling the cluster sampling effect.
Besides, there are survey techniques available like respondent driven sampling (RDS), time location cluster sampling, snowball sampling, capture recapture sampling and inverse sampling for estimation of hidden population or diseases which are rare in nature.
In the current analysis--part of WHO's global study examining maternal and perinatal care--the researchers used stratified multistage cluster sampling and random selection to choose 128 health facilities in Cambodia, China, India, Japan, Nepal, the Philippines, Sri Lanka, Thailand and Vietnam for assessment.
The effect of cluster sampling design in survey research on the standard error statistic.
This prospective study identified, using a two-stage cluster sampling method, young men intending to undergo traditional or clinical circumcision in Bungoma district, Kenya, where male circumcision is universally practised.
Cluster sampling is often used for geographic data such as real estate where clusters are naturally occurring.

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