Behavioural Surveillance Surveys - The Wisdom of Whores
Behavioural Surveillance Surveys - The Wisdom of Whores Behavioural Surveillance Surveys - The Wisdom of Whores
Of the two methods, the preferred procedure is the “segmentation” method, as this method comes the closest to approximating a conventional two-stage cluster sample, and is thus less prone to bias. However, sketch mapping is required to use the method, and thus it may not be feasible in all settings. In such instances, the modified random walk method provides a suitable alternative, low-cost method, provided that a measure of size is obtained for sample clusters. Non-response in household surveys One of the problems faced in all household surveys is that of what to do when respondents chosen for a survey are not available to be interviewed. In some surveys, fieldworkers are instructed to substitute other respondents (e.g., in the neighboring household) for respondents who have been chosen for a survey but cannot be readily located. For sub-population surveys, this practice should be discouraged because of the potential bias that may be introduced by only interviewing readily accessible respondents. For example, youth who engage in high-risk behaviors may be more likely to live in one-person households and/or to be at home less regularly, thus making it more difficult to locate them for a survey interview. However, if such persons are systematically excluded from sub-population surveys because they are difficult to locate, sub-population survey data will be biased toward under-estimating the extent of risky behaviors. The recommended course of action is to require at least three return visits (“call-backs”) to each sample household in order to obtain an interview from each eligible respondent in the original sample of households. In scheduling return visits, information should be sought from other household residents and neighbors in order to determine the best times to find difficult-to-locate individuals at home. If after three attempts it is still not possible to obtain an interview, the case should be dropped and not replaced by a substitute respondent. To compensate for the possible loss of sample size, it is recommended that the target sample size for household surveys be increased by 10% or so. School surveys of youth When undertaking household surveys of youth is not feasible (or desirable), an alternative strategy for tracking behaviors of youth is to undertake non-household surveys of different segments or sub-groups of youth. In settings where a sizable proportion of youth remain in school at the secondary level, conducting surveys in schools represents a fairly cost-effective way of reaching youth 15-19 years of age for data collection purposes. Two cluster sampling schemes for undertaking school surveys are described below - the first for use where the survey can be conducted in school classrooms using self-administered questionnaires, and the second where data collection has to take place outside of classroom settings. B EHAV I OR A L S U R V EI L L A NC E SURV EY S APPEN DI X 3 329
In-class sampling of school youth The logistically simplest approach to carrying out school surveys of youth is to have student’s complete self-administered questionnaires during class sessions. This approach is not only logistically simpler than trying to interview students outside of class, but because of the low cost of self-administered questionnaires, data can be obtained for larger samples of students than will generally be feasible when personal interviews are used to collect the data. Provided that confidentiality can be ensured, it is also possible that more candid responses to sensitive questions might be obtained through the use of self-administered questionnaires. When “in-class” data collection is possible, a two-stage cluster sample design similar to that used in household surveys of youth will likely satisfy most sub-population survey needs. Under this design, sample students would be chosen by first selecting a sample of schools, then selecting a sample of classes from sample schools at the second stage of selection, and gathering data from all students in sample classes. Since measures of size (i.e., number of school enrollees) are likely to be available prior to sample selection in most settings, sample schools should be chosen using systematic sampling with probabilityproportional-to-size (PPS). The steps involved were outlined in Chapter 4. The number of schools and classes/sections to be chosen should be determined as follows. First, divide the target sample size for the survey by the average class/section size in the schools in the survey universe. For example, suppose the intended sample size for a sub-population survey was n=800 male students, and that classes/sections in secondary schools in the setting in question averaged 25 male. A minimum of 32 classes/sections would thus be needed (32=800/25). As protection against non-response, it is recommended that the number of sample classes/sections to be chosen be increased by 10 percent or so (e.g., to 35 classes/sections). Next, the number of schools to be included in the survey needs to be determined. As was discussed in Chapter 4, it is preferable to take larger rather than smaller numbers of “clusters” in cluster surveys. Thus, the number of schools to be included in a given survey effort should be as large as resources will permit. Ideally, 30 or more schools would be included in a school survey. Where this is not feasible, a smaller number of sample schools may be used, but it is recommended that the number of sample schools chosen not fall below 10-15. In the above example, the sample size for schools might be set at n=20, and two (2) classes/sections chosen per school, yielding a total of n=40 classes/sections. Because the relative cost of collecting data “in-class” using self-administered questionnaires is low, rounding up the number of classes/sections to be chosen will increase survey costs only slightly. Note that to insure that the proposed sampling scheme results in a self-weighting 330 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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Of the two methods, the preferred<br />
procedure is the “segmentation” method, as<br />
this method comes the closest to approximating<br />
a conventional two-stage cluster sample, and<br />
is thus less prone to bias. However, sketch<br />
mapping is required to use the method, and<br />
thus it may not be feasible in all settings.<br />
In such instances, the modified random walk<br />
method provides a suitable alternative,<br />
low-cost method, provided that a measure<br />
<strong>of</strong> size is obtained for sample clusters.<br />
Non-response in household surveys<br />
One <strong>of</strong> the problems faced in all household<br />
surveys is that <strong>of</strong> what to do when respondents<br />
chosen for a survey are not available to<br />
be interviewed. In some surveys, fieldworkers<br />
are instructed to substitute other respondents<br />
(e.g., in the neighboring household) for<br />
respondents who have been chosen for a<br />
survey but cannot be readily located. For<br />
sub-population surveys, this practice should be<br />
discouraged because <strong>of</strong> the potential bias that<br />
may be introduced by only interviewing<br />
readily accessible respondents. For example,<br />
youth who engage in high-risk behaviors may<br />
be more likely to live in one-person households<br />
and/or to be at home less regularly,<br />
thus making it more difficult to locate them<br />
for a survey interview. However, if such<br />
persons are systematically excluded from<br />
sub-population surveys because they are<br />
difficult to locate, sub-population survey data<br />
will be biased toward under-estimating the<br />
extent <strong>of</strong> risky behaviors.<br />
<strong>The</strong> recommended course <strong>of</strong> action is to<br />
require at least three return visits (“call-backs”)<br />
to each sample household in order to obtain<br />
an interview from each eligible respondent<br />
in the original sample <strong>of</strong> households.<br />
In scheduling return visits, information should<br />
be sought from other household residents and<br />
neighbors in order to determine the best times<br />
to find difficult-to-locate individuals at home.<br />
If after three attempts it is still not possible to<br />
obtain an interview, the case should be dropped<br />
and not replaced by a substitute respondent.<br />
To compensate for the possible loss <strong>of</strong> sample<br />
size, it is recommended that the target sample<br />
size for household surveys be increased by<br />
10% or so.<br />
School surveys <strong>of</strong> youth<br />
When undertaking household surveys <strong>of</strong><br />
youth is not feasible (or desirable), an<br />
alternative strategy for tracking behaviors <strong>of</strong><br />
youth is to undertake non-household surveys<br />
<strong>of</strong> different segments or sub-groups <strong>of</strong> youth.<br />
In settings where a sizable proportion <strong>of</strong><br />
youth remain in school at the secondary level,<br />
conducting surveys in schools represents a<br />
fairly cost-effective way <strong>of</strong> reaching youth<br />
15-19 years <strong>of</strong> age for data collection purposes.<br />
Two cluster sampling schemes for undertaking<br />
school surveys are described below - the first<br />
for use where the survey can be conducted<br />
in school classrooms using self-administered<br />
questionnaires, and the second where data<br />
collection has to take place outside <strong>of</strong><br />
classroom settings.<br />
B EHAV I OR A L S U R V EI L L A NC E SURV EY S APPEN DI X 3<br />
329