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Behavioural Surveillance Surveys - The Wisdom of Whores

Behavioural Surveillance Surveys - The Wisdom of Whores

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What should be done if, even after an<br />

allowance for surprises has been made, the<br />

“accomplished” sample falls short <strong>of</strong> the target<br />

sample size? <strong>The</strong> preferred course <strong>of</strong> action<br />

would be to choose a supplementary sample<br />

<strong>of</strong> PSU’s and include these in the survey.<br />

<strong>The</strong> same procedures used in choosing the<br />

original sample <strong>of</strong> PSU’s should be followed in<br />

choosing a supplementary sample, except that<br />

PSU’s chosen in the original sample should be<br />

deleted from the sampling frame prior to<br />

choosing the supplementary sample. If this<br />

option is chosen, the sample selection process<br />

needs to be carefully documented so that<br />

sampling probabilities may be calculated.<br />

A second, less desirable option would be to<br />

return to the original sample <strong>of</strong> PSU’s for<br />

additional intervals <strong>of</strong> data collection.<br />

What should be done in cases where all<br />

PSU’s are already included in the sample, and<br />

it is thus impossible to choose more PSU’s?<br />

In this situation the only alternative is to visit<br />

sample sites/PSU’s for longer intervals than<br />

had been originally planned.<br />

What should be done if even after repeated<br />

visits to all PSU’s, it is not possible to reach the<br />

target sample size? <strong>The</strong> answer to this question<br />

depends upon the underlying reason why it was<br />

not possible to reach the target sample size.<br />

One possible cause is that the sampling frame<br />

was incomplete. In such a case, one option<br />

would be to update the sampling frame and<br />

choose a supplementary sample <strong>of</strong> PSUs <strong>of</strong><br />

sufficient size to enable the target sample size<br />

to be reached. Alternatively, a lower-thanplanned<br />

sample size could be accepted for<br />

the current survey round, and more resources<br />

could be put into sampling frame development<br />

in subsequent survey rounds in which<br />

larger sample sizes would be used. It will be<br />

noted that larger sample size in subsequent<br />

survey rounds can <strong>of</strong>fset the effects <strong>of</strong> sample<br />

size deficit in earlier rounds.<br />

One approach to dealing with this problem<br />

which was tried in Nepal was to inquire from<br />

successfully interviewed establishment-based<br />

sex workers about any friends who worked<br />

at the same establishment but had not been<br />

present during the times that data was being<br />

collected for the sub-population survey.<br />

<strong>The</strong>se “leads” were then followed up and<br />

included in the sample as having been<br />

sampled from the “referring” establishment.<br />

Such an approach should be used cautiously<br />

and as a last resort, as it departs from a probability<br />

sampling approach. Furthermore, it is<br />

necessary to verify that such “leads” truly<br />

belong to the sub-population being monitored.<br />

In the Nepal case, for example, it was<br />

found that a number <strong>of</strong><br />

the “leads” were in fact not sex workers,<br />

but friends <strong>of</strong> the sex workers who were<br />

“nominated” in order to collect the incentive<br />

<strong>of</strong>fered for identifying other sex workers.<br />

In the final analysis, it is probably better to<br />

accept a lower than expected sample size than<br />

stretch the sampling methodology to the point<br />

where the survey data cannot be justified as<br />

having been produced using scientifically<br />

defensible sampling methods.<br />

A final note on the problem <strong>of</strong> insufficient<br />

sample size is that in some instances, it may<br />

be the case that there simply are not enough<br />

members <strong>of</strong> the sub-population. In such<br />

cases, the key issue is not the sampling<br />

method used, but rather whether there is<br />

sufficient justification for doing surveys for the<br />

sub-population in question.<br />

336<br />

A PPEN DI X 3 B EHAV I OR A L SURV EI L L A NC E S U R V EY S

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