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Behavioural Surveillance Surveys - The Wisdom of Whores

Behavioural Surveillance Surveys - The Wisdom of Whores

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Number <strong>of</strong> PSUs (clusters) and sample sizes<br />

from each<br />

Once sample size requirements have been<br />

determined, the final step in developing the<br />

sample size parameters for two-stage surveys<br />

is determining how many PSUs should be<br />

chosen, and how many individuals per PSU.<br />

<strong>The</strong>re are three primary considerations in<br />

reaching decisions on these issues. <strong>The</strong> first<br />

is the magnitude <strong>of</strong> the two-stage sampling<br />

design effect (D). This is particularly important<br />

with behaviors that are likely to be influenced<br />

by association with a PSU itself. Frequency <strong>of</strong><br />

condom use among sex workers is more likely<br />

to be associated with the PSU where the PSU<br />

is a brothel (because brothel-owners <strong>of</strong>ten<br />

have policies on condom use) than it is where<br />

the PSU is a city block (because freelance sex<br />

workers and their clients are not subject to the<br />

rules <strong>of</strong> a brothel). In situations where there<br />

is likely to be considerable homogeneity<br />

among individuals in a PSU, a smaller sample<br />

size per PSU is particularly desirable.<br />

<strong>The</strong> second consideration is the actual size<br />

<strong>of</strong> the PSUs. Obviously, the sample size per<br />

PSU is limited by the number <strong>of</strong> individuals<br />

associated with the PSU. So before deciding<br />

on sample sizes per PSU, it is worth obtaining<br />

measures <strong>of</strong> size for a handful <strong>of</strong> PSUs thought<br />

to be roughly representative <strong>of</strong> the range<br />

available. This information should guide<br />

decision-making.<br />

Thirdly, there is the issue <strong>of</strong> cost (in time,<br />

money and effort). For the same overall<br />

sample size, a design that includes fewer<br />

respondents from a larger number <strong>of</strong> PSUs<br />

will likely (although not necessarily) be more<br />

costly than a design that interviews large<br />

numbers <strong>of</strong> respondents from a smaller<br />

number <strong>of</strong> sites.<br />

As so <strong>of</strong>ten in sampling, there is clearly a<br />

trade<strong>of</strong>f between what is feasible and what<br />

will produce the most reliable results, and<br />

surveillance managers must weigh the costs<br />

and benefits <strong>of</strong> various approaches. From a<br />

sampling precision point <strong>of</strong> view, more PSUs<br />

with a smaller number <strong>of</strong> respondents selected<br />

from each is the best option. For a fixed<br />

target sample size (e.g., 400 sex workers),<br />

a design that selects 10 individuals from each<br />

<strong>of</strong> 40 PSUs will give more reliable results than<br />

one which selects 40 individuals from each <strong>of</strong><br />

10 PSUs. As a general rule, selecting no more<br />

than 20-25 study subjects per PSU should be<br />

relatively safe. As that number increases, the<br />

reliability <strong>of</strong> the study results will decrease.<br />

Sampling more than 40 individuals from each<br />

PSU should be avoided.<br />

Although the use <strong>of</strong> 30 PSUs has become<br />

a standard <strong>of</strong> sorts in behavioral surveys,<br />

there is in fact no statistical justification for 30<br />

as a minimum or ideal number. <strong>The</strong>re is,<br />

however, a need to ensure that samples <strong>of</strong><br />

sub-population members are sufficiently<br />

well “spread” across enough PSUs that survey<br />

estimates are not unduly influenced by<br />

behaviors practiced in only a handful <strong>of</strong> PSUs.<br />

As a working guideline, a minimum <strong>of</strong> 20 PSUs<br />

per respondent group is recommended, and<br />

more is desirable when feasible.<br />

B EHAV I OR A L S U R V EI L L A NC E SURV EY S CHAPTER 4<br />

55

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