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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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