Behavioural Surveillance Surveys - The Wisdom of Whores
Behavioural Surveillance Surveys - The Wisdom of Whores
Behavioural Surveillance Surveys - The Wisdom of Whores
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Notes:<br />
1. It may not always be possible to randomly<br />
select respondents in this fashion, but one<br />
should always try to find a way to get a<br />
headcount <strong>of</strong> target group members present<br />
at the site, and then systematically select<br />
the number that are needed. It is never<br />
advisable to take volunteers instead <strong>of</strong><br />
selecting respondents randomly.<br />
2. If fewer than the required number <strong>of</strong><br />
respondents (in this case 15) are present<br />
at the time <strong>of</strong> the survey team’s visit, then<br />
it will be necessary to return to the site at<br />
a later time to complete the cluster. If this<br />
cannot be done, then it will be necessary<br />
to record the number <strong>of</strong> respondents<br />
interviewed so that the second stage<br />
probability can be calculated at a later time.<br />
(See chapter 5 for instructions on how to<br />
calculate sampling probabilities and conduct<br />
weighted analysis). (Note : although<br />
returning to a site is sometimes necessary<br />
for this design, where conventional clusters<br />
are being used, it is not appropriate to<br />
return to a site when time-location clusters<br />
are being used).<br />
3. If, at the time <strong>of</strong> the team’s visit, it is<br />
discovered that the measure <strong>of</strong> size for<br />
the site that was estimated in the sampling<br />
frame is inaccurate, then it will be necessary<br />
to obtain an estimate <strong>of</strong> the number <strong>of</strong><br />
target group members who really are<br />
associated with the site, so that sampling<br />
probabilities can be calculated.<br />
Variation when measure <strong>of</strong> size for the cluster is<br />
not available ahead <strong>of</strong> time<br />
A variation on this design is one in which a<br />
measure <strong>of</strong> size is not available ahead <strong>of</strong> time,<br />
so it is not possible to select clusters by PPS.<br />
In this case, clusters will need to be selected<br />
with equal probability (see Figure 2 and Table<br />
3 from chapter 4), and it will be necessary to<br />
obtain an estimate <strong>of</strong> the number <strong>of</strong> people at<br />
the site on the day the data is collected, so<br />
that a first stage probability can be calculated.<br />
<strong>The</strong>re are two options for selecting respondents<br />
at the second stage. One option is to select<br />
the same number <strong>of</strong> respondents at each site.<br />
This makes the field work less complicated,<br />
but the resulting sample will not be selfweighted.<br />
So it will be necessary to calculate<br />
sampling probabilities, and perhaps conduct<br />
a weighted analysis. In order to avoid this,<br />
it is possible to decide on a sampling fraction<br />
ahead <strong>of</strong> time to be applied at each site. For<br />
example, it could be decided that at each site,<br />
25% <strong>of</strong> respondents found there would be<br />
interviewed. For example, if 80 people were<br />
found at a site, then 20 people (80/4=20)<br />
would be interviewed. And if 25 people were<br />
found at the site, then 6 people (25/4= 6.25)<br />
would be interviewed. This procedure is<br />
slightly more complicated and one issue is that<br />
you lose control over the total sample size.<br />
It is difficult to define what the sampling<br />
fraction should be, so that the final sample will<br />
not overshoot or undershoot the desired total<br />
sample size. However, the advantage <strong>of</strong> this<br />
approach, is that if it is done at every site, then<br />
the final sample is self-weighted. Whichever<br />
option is chosen, it is still necessary to obtain<br />
an estimate <strong>of</strong> the number <strong>of</strong> respondents<br />
at the site, so that sampling probabilities can<br />
be calculated.<br />
314<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