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Behavioural Surveillance Surveys - The Wisdom of Whores

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Table 6 provides a “lookup” table based<br />

upon the above formula to permit final sample<br />

sizes to be determined without having to<br />

perform calculations. <strong>The</strong> table provides<br />

sample sizes needed to measure changes in<br />

behavioral indicators <strong>of</strong> magnitude 10 and 15<br />

percentage points for different initial values<br />

<strong>of</strong> a given indicator, as well as for different<br />

combinations <strong>of</strong> significance and power.<br />

Note that some indicators include two<br />

behavioral dimensions. For example the<br />

proportion <strong>of</strong> all students who had sex with<br />

a sex worker in the last year (dimension one)<br />

who used a condom the last time they had sex<br />

with a sex worker (dimension two). In these<br />

cases a further step is needed in calculating<br />

the sample size. In this case, the first step in<br />

calculating the sample size required would be<br />

to determine how many students would be<br />

needed to measure a change in the proportion<br />

who used a condom during an encounter with<br />

a sex worker during the previous year. For<br />

this step, proceed exactly as in the examples<br />

given in Figure 4. Say the number comes to<br />

200. Does that mean the final sample size will<br />

be 200? No, because not all <strong>of</strong> the students<br />

sampled will have had sex with a sex worker<br />

in the last year, and this indicator takes only<br />

the ones that have had sex with a sex worker<br />

into account in the denominator. So it is<br />

necessary to estimate how many students<br />

would be needed in the overall sample, in<br />

order to capture 200 who have had sex with<br />

a sex worker in the last year.<br />

Computationally, the procedure is simple -<br />

one merely divides the required sample size<br />

calculated as described above by the estimated<br />

proportion <strong>of</strong> the sub-population with the<br />

required “qualifying” behavior. For example,<br />

if 40 percent <strong>of</strong> male vocational students in a<br />

given setting are thought to have had sex with<br />

a sex worker in the last year, it would be<br />

necessary to interview n=500 (=200/.4) students<br />

in order to find n=200 subjects who had had<br />

sex with a sex worker in the last year, to allow<br />

for the indicator <strong>of</strong> condom use to be calculated.<br />

Examples <strong>of</strong> this type <strong>of</strong> calculation are given<br />

in Figure 5.<br />

<strong>The</strong> difficult part <strong>of</strong> this procedure is,<br />

<strong>of</strong> course, knowing what proportion <strong>of</strong> the<br />

total population engages in the behavior <strong>of</strong><br />

interest. Here, other surveys or anecdotal<br />

information might be consulted for guidance.<br />

If resources permit, a small pilot survey might<br />

be conducted to better inform sample size<br />

calculations for the main survey effort.<br />

As there may be considerable uncertainty<br />

concerning these parameters, the general<br />

guidance is to err toward under-estimating<br />

the proportion engaging in a given behavior,<br />

as this will ensure a sufficient sample size for<br />

the main survey effort. For example, if it were<br />

thought that between 20% and 30% <strong>of</strong> students<br />

typically engage in sex with sex workers on<br />

an annual basis in a given setting, the 20%<br />

figure should be used in determining sample<br />

size requirements for BSS.<br />

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

49

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