86 PART 2 Examining Tools and Processes
stages as part of a strategy to obtain a representative sample. Figure 6-1 provides
a schematic describing the multi-stage sampling in the U.S. surveillance study
mentioned earlier, NHANES.
As shown in Figure 6-1, in NHANES, there are four stages of sampling. In the first
stage, primary sampling units, or PSUs, are randomly selected. The PSUs are made
up of counties, or small groups of counties together. Next, in the second stage,
segments — which are a block or group of blocks containing a cluster of
households — are randomly selected from the counties sampled in the first stage.
Next, in the third stage, households are randomly selected from segments. Finally,
in stage four, to select each actual community member who will be offered
participation in NHANES, an individual is randomly selected from each house
hold sampled in the third stage.
That is how a sample of 8,704 individuals participating in NHANES in 2017–2018
was selected to represent the population of the approximately 325 million people
living in the United States at that time. The good news is that biostatisticians work
on teams to develop a multi-stage sampling strategy — no one is expected to set
up something so complicated all by themselves.
FIGURE 6-1:
Example of
multi-stage
sampling from
the National
Health and
Nutrition.
Examination
Survey (NHANES).
© John Wiley & Sons, Inc.