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Behavioural Surveillance Surveys - The Wisdom of Whores

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Figure 9 : Map <strong>of</strong> hypothetical sample cluster showing possible starting points<br />

Source : United Nations Children’s Fund. 1995. Monitoring Progress Toward the Goals <strong>of</strong> the World Summit for<br />

Children : A Practical Handbook for Multiple-Indicator <strong>Surveys</strong>. New York : UNICEF.<br />

Secondly, when eligible respondents are<br />

identified that for some reason cannot be<br />

easily interviewed (e.g., when they are not at<br />

home), the standard random walk procedure<br />

is to skip such respondents and instead<br />

interview more readily accessible respondents<br />

in other households until the target sample<br />

size or sample quota for the cluster has been<br />

met. As this can cause bias (see below for<br />

further discussion), a different approach is<br />

proposed in the modified version <strong>of</strong> the<br />

random walk method. <strong>The</strong> modified procedure<br />

entails following the standard random walk<br />

procedure for identifying the required number<br />

<strong>of</strong> eligible respondents, but instead <strong>of</strong> skipping<br />

over respondents who are not readily accessible<br />

for interviewing, making at least three attempts<br />

to interview each eligible respondent identified.<br />

Finally, although the random-walk method<br />

does not call for an actual measure <strong>of</strong> size to<br />

be obtained for sample clusters, it is proposed<br />

for sub-population surveys that an estimate <strong>of</strong><br />

the number <strong>of</strong> households located in each<br />

cluster be obtained. <strong>The</strong> reason for this is that<br />

without a measure <strong>of</strong> size for each sample<br />

cluster, it is impossible to calculate sampling<br />

probabilities, and thus the sample would not<br />

be a probability sample. Note, however, that<br />

obtaining an approximate measure <strong>of</strong> size for<br />

each cluster does not have to be a costly and<br />

time-consuming activity. In most instances, a<br />

count or rough estimate <strong>of</strong> the number <strong>of</strong><br />

households in a cluster can be obtained from<br />

a knowledgeable local informant. If this is<br />

not possible, a quick tour <strong>of</strong> the cluster can<br />

usually provide a reasonably accurate count.<br />

This type <strong>of</strong> “quick count” procedure is <strong>of</strong>ten<br />

used in cluster sampling.<br />

328<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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