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First, 400 primary sampling units (PSUs) were chosen from a master sample of 3000 PSUs identified by Statistics South Africa in 2003.
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The sampling frames for the surveys were based on a master sample consisting of 1 000 enumerator areas (EA) used by Statistics South Africa for the 2001 census.
An example of a combination of sampling methods, a master sample design, is given to show that it usually takes some engineering to produce a good sample design.
In the first stage, a sample of about 400 primary sampling units (PSUs) is drawn from a Statistics South Africa master sample of about 3,000 PSUs.
The first stage involved selection of clusters from a master sampling frame constructed from the national population and housing census (year 2000 Census).
As with other DHS surveys, the 2003 KDHS used a two-stage design: a) selection of clusters from a national master sample; and b) sampling of households from a list of all households in the sampled clusters [ 4].
The 15% master sample contains a subset of enumeration areas (EAs) that consist of 15% of the population in Vietnam stratified into three groups.
The master sample is a probabilistic sample of 1 000 enumeration areas (EAs) drawn from the South African National Census, conducted by Statistics South Africa (SSA) in 2001.
Subsequently, the chosen PSUs were randomly sampled within each stratum of 53 district councils, which were also proportional to the master sample's allocation of PSUs in each stratum.
The sampling frame was a list of the EAs, from the 15% master sample, with the number of households as well as identifiable information, administered by the GSO Vietnam in 2009 from the census.
Similar to 2002, a multistage sampling design was used to select households using the master sampling frame of census enumeration blocks from the 2004 Jordan census to select the sample of blocks, or primary sampling areas, from which households were selected.
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