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Behavioural Surveillance Surveys - The Wisdom of Whores

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In-class sampling <strong>of</strong> school youth<br />

<strong>The</strong> logistically simplest approach to<br />

carrying out school surveys <strong>of</strong> youth is to<br />

have student’s complete self-administered<br />

questionnaires during class sessions. This<br />

approach is not only logistically simpler than<br />

trying to interview students outside <strong>of</strong> class,<br />

but because <strong>of</strong> the low cost <strong>of</strong> self-administered<br />

questionnaires, data can be obtained for larger<br />

samples <strong>of</strong> students than will generally be<br />

feasible when personal interviews are used to<br />

collect the data. Provided that confidentiality<br />

can be ensured, it is also possible that more<br />

candid responses to sensitive questions might<br />

be obtained through the use <strong>of</strong> self-administered<br />

questionnaires.<br />

When “in-class” data collection is possible,<br />

a two-stage cluster sample design similar to<br />

that used in household surveys <strong>of</strong> youth will<br />

likely satisfy most sub-population survey<br />

needs. Under this design, sample students<br />

would be chosen by first selecting a sample<br />

<strong>of</strong> schools, then selecting a sample <strong>of</strong> classes<br />

from sample schools at the second stage <strong>of</strong><br />

selection, and gathering data from all students<br />

in sample classes. Since measures <strong>of</strong> size<br />

(i.e., number <strong>of</strong> school enrollees) are likely to<br />

be available prior to sample selection in most<br />

settings, sample schools should be chosen<br />

using systematic sampling with probabilityproportional-to-size<br />

(PPS). <strong>The</strong> steps involved<br />

were outlined in Chapter 4.<br />

<strong>The</strong> number <strong>of</strong> schools and classes/sections<br />

to be chosen should be determined as follows.<br />

First, divide the target sample size for the<br />

survey by the average class/section size in the<br />

schools in the survey universe. For example,<br />

suppose the intended sample size for a<br />

sub-population survey was n=800 male students,<br />

and that classes/sections in secondary schools<br />

in the setting in question averaged 25 male.<br />

A minimum <strong>of</strong> 32 classes/sections would thus<br />

be needed (32=800/25). As protection against<br />

non-response, it is recommended that the<br />

number <strong>of</strong> sample classes/sections to be chosen<br />

be increased by 10 percent or so (e.g., to 35<br />

classes/sections).<br />

Next, the number <strong>of</strong> schools to be included<br />

in the survey needs to be determined. As was<br />

discussed in Chapter 4, it is preferable to take<br />

larger rather than smaller numbers <strong>of</strong> “clusters”<br />

in cluster surveys. Thus, the number <strong>of</strong><br />

schools to be included in a given survey effort<br />

should be as large as resources will permit.<br />

Ideally, 30 or more schools would be included<br />

in a school survey. Where this is not feasible,<br />

a smaller number <strong>of</strong> sample schools may be<br />

used, but it is recommended that the number<br />

<strong>of</strong> sample schools chosen not fall below 10-15.<br />

In the above example, the sample size for<br />

schools might be set at n=20, and two (2)<br />

classes/sections chosen per school, yielding<br />

a total <strong>of</strong> n=40 classes/sections. Because the<br />

relative cost <strong>of</strong> collecting data “in-class” using<br />

self-administered questionnaires is low,<br />

rounding up the number <strong>of</strong> classes/sections<br />

to be chosen will increase survey costs only<br />

slightly. Note that to insure that the proposed<br />

sampling scheme results in a self-weighting<br />

330<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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