Behavioural Surveillance Surveys - The Wisdom of Whores
Behavioural Surveillance Surveys - The Wisdom of Whores Behavioural Surveillance Surveys - The Wisdom of Whores
Procedure for second stage sampling For fixed number from each cluster. The procedure for second stage sampling is described in detail in Chapter 4. It involves selecting respondents from among members of the sup-population at the site in a systematic way. In this example, 10 women need to be randomly selected from each timelocation cluster. It is important that the team keep track of the information in Table 1 (below) for each cluster. A prototype cluster information form is provided in Appendix 4 to help the survey manager organize the fieldwork. It is important to track this information separately for each cluster, and for each cluster to have a unique identifying number which is recorded on the sheet. If this information is not tracked, it will not be possible to calculate the sampling probabilities. Table 1 : Information to record at each cluster • cluster number and location • number of respondents invited to participate in the survey • number of completed interviews • number of refusals • number of duplicates (if the person was previously interviewed as part of this round of the BSS in this sub-population on another day or at another site) • the total measure of size for the cluster (number of respondents who come in contact with the site during the specified time interval) Variation when “take-all” strategy is used The second option that was described for second stage sampling was the “take-all” strategy, which has the advantage of resulting in a self-weighted sample. The procedure used for first stage sampling is exactly the same as the one described above for floating sex workers. The only difference is that during the second stage of sampling, instead of sub-sampling a fixed number from among all women who appear at the site during a fixed interval, all women who appear at the site during the specified time frame must be invited to participate. For this reason, it is not recommended that this strategy be used unless the expected number of respondents is small for all clusters. Note that use of this strategy will result in a final sample size that is unpredictable. Therefore, this method should not be used unless there are very good estimates available from the mapping exercise about the average number of respondents who can be expected at a site during a given time interval. It is also very important to pilot test the process, so that all the assumptions can be verified. The importance of pilot testing When using the “take-all” design, it is a very good idea to pilot test the assumptions used in calculating the inflated samples sizes (i.e. refusal and duplication factor), and also the number of clusters needed to get the desired number of respondents (i.e. average “sample take” per cluster. If this is not done, then it is very easy to “over” or “undershoot” the desired sample size. B EHAV I OR A L S U R V EI L L A NC E SURV EY S APPEN DI X 3 319
Fieldwork assignments when the “take-all” strategy is used to select sample target group members A key aspect of the proposed sampling strategy is that sample PSU’s or clusters be visited for the same amount of time and that all target group members who appear at the site during the period chosen for data collection be included in the sample. For sites where relatively small numbers of sex workers are expected, it may be feasible for a single interviewer to “capture” all sex workers appearing at the site. However, where the expected number of respondents is larger, it would be advisable to deploy a sufficient number of interviewers to ensure that all sex workers appearing at the site are interviewed. The failure to do so may result in the sample size target for the group not being met, as well as possibly causing bias. Although the “take-all” strategy results in a self-weighted sample, it is a good idea to record all the same information outlined in Table 1. That way, if mid-way through the survey it is found that continuation of the strategy is not possible because the interviewers are unable to interview all respondents at the site, it will still be possible to correct a non self-weighted sample at the time of analysis. How to handle duplicates with time-location sampling If a respondent who is interviewed as part of one time-location cluster is encountered again in another time-location cluster, that person should not be interviewed a second time, but rather recorded as a duplicate. However, it is possible that a respondent may refuse to be interviewed in one time-location cluster, but then accept to be interviewed in another. In that case, that respondent should not be counted as a duplicate, but rather as a refusal in the first cluster, and a completed interview in the second cluster Targeted snowball sampling approach In some settings, floating sex workers may not congregate in public places, and thus the cluster sampling approach described above will not be feasible. For example, in some places, encounters with sex workers are sometimes arranged through “brokers”, or arrangements are made via telephone. If a significant portion of the commercial sex trade operates in this fashion in a given setting, then probability sampling methods will not be feasible and the targeted snowball sampling approach described in Chapter 4 will become the next best option. As described earlier, the key aspect of targeted snowball sampling is to determine which networks exist in a given setting. In the case of sex workers, this may entail determining who the major brokers or controllers of sex workers are, gaining entrance into the network, and using snowball sampling techniques to identify target group members in each network. 320 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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Fieldwork assignments when the “take-all”<br />
strategy is used to select sample target group<br />
members<br />
A key aspect <strong>of</strong> the proposed sampling<br />
strategy is that sample PSU’s or clusters be<br />
visited for the same amount <strong>of</strong> time and that<br />
all target group members who appear at the<br />
site during the period chosen for data collection<br />
be included in the sample. For sites where<br />
relatively small numbers <strong>of</strong> sex workers are<br />
expected, it may be feasible for a single<br />
interviewer to “capture” all sex workers<br />
appearing at the site. However, where the<br />
expected number <strong>of</strong> respondents is larger,<br />
it would be advisable to deploy a sufficient<br />
number <strong>of</strong> interviewers to ensure that all sex<br />
workers appearing at the site are interviewed.<br />
<strong>The</strong> failure to do so may result in the sample<br />
size target for the group not being met, as well<br />
as possibly causing bias.<br />
Although the “take-all” strategy results in<br />
a self-weighted sample, it is a good idea to<br />
record all the same information outlined in<br />
Table 1. That way, if mid-way through the<br />
survey it is found that continuation <strong>of</strong> the<br />
strategy is not possible because the interviewers<br />
are unable to interview all respondents at the<br />
site, it will still be possible to correct a non<br />
self-weighted sample at the time <strong>of</strong> analysis.<br />
How to handle duplicates with time-location<br />
sampling<br />
If a respondent who is interviewed as part<br />
<strong>of</strong> one time-location cluster is encountered<br />
again in another time-location cluster, that<br />
person should not be interviewed a second<br />
time, but rather recorded as a duplicate.<br />
However, it is possible that a respondent may<br />
refuse to be interviewed in one time-location<br />
cluster, but then accept to be interviewed in<br />
another. In that case, that respondent should<br />
not be counted as a duplicate, but rather as a<br />
refusal in the first cluster, and a completed<br />
interview in the second cluster<br />
Targeted snowball sampling<br />
approach<br />
In some settings, floating sex workers may<br />
not congregate in public places, and thus the<br />
cluster sampling approach described above<br />
will not be feasible. For example, in some<br />
places, encounters with sex workers are<br />
sometimes arranged through “brokers”, or<br />
arrangements are made via telephone. If a<br />
significant portion <strong>of</strong> the commercial sex trade<br />
operates in this fashion in a given setting,<br />
then probability sampling methods will not be<br />
feasible and the targeted snowball sampling<br />
approach described in Chapter 4 will become<br />
the next best option.<br />
As described earlier, the key aspect <strong>of</strong><br />
targeted snowball sampling is to determine<br />
which networks exist in a given setting.<br />
In the case <strong>of</strong> sex workers, this may entail<br />
determining who the major brokers or<br />
controllers <strong>of</strong> sex workers are, gaining<br />
entrance into the network, and using snowball<br />
sampling techniques to identify target group<br />
members in each network.<br />
320<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