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- Articles and reports: 12-001-X198900214562Description:
This paper presents a technique for developing appropriate confidence intervals around postcensal population estimates using a modification of the ratio-correlation method termed the rank-order procedure. It is shown that the Wilcoxon test can be used to decide if a given ratio-correlation model is stable over time. If stability is indicated, then the confidence intervals associated with the data used in model construction are appropriate for postcensal estimates. If stability is not indicated, the confidence intervals associated with the data used in model construction are not appropriate, and, moreover, likely to overstate the precision of postcensal estimates. Given instability, it is shown that confidence intervals appropriate for postcensal estimates can be derived using the rank-order procedure. An empirical example is provided using county population estimates for Washington state.
Release date: 1989-12-15 - 2. Updating size measures in a probabilities proportional to size without replacement (PPSWOR) design ArchivedArticles and reports: 12-001-X198900214564Description:
It is sometimes required that a probabilities proportional to size without replacement (PPSWOR) sample of first stage units (psu’s) in a multistage population survey design be updated to take account of new size measures that have become available for the whole population of such units. However, because of a considerable investment in within-psu mapping, segmentation, listing, enumerator recruitment, etc., we would like to retain the same sample psu’s if possible, consistent with the requirement that selection probabilities may now be regarded as being proportional to the new size measures. The method described in this article differs from methods already described in the literature in that it is valid for any sample size and does not require enumeration of all possible samples. Further, it does not require that the old and the new sampling methods be the same and hence it provides a convenient way not only of updating size measures but also of switching to a new sampling method.
Release date: 1989-12-15 - Articles and reports: 12-001-X198900114576Description:
A typical goal of health workers in the developing world is to ascertain whether or not a population meets certain standards, such as the proportion vaccinated against a certain disease. Because populations tend to be large, and resources and time available for studies limited, it is usually necessary to select a sample from the population and then make estimates regarding the entire population. Depending upon the proportion of the sample individuals who were not vaccinated, a decision will be made as to whether the coverage is adequate or whether additional efforts must be initiated to improve coverage in the population. Several sampling methods are currently in use. Among these is a modified method of cluster sampling recommended by the Expanded Programme on Immunization (EPI) of the World Health Organization. More recently, quality assurance sampling (QAS), a method commonly used for inspecting manufactured products, has been proposed as a potentially useful method for continually monitoring health service programs. In this paper, the QAS method is described and an example of how this type of sampling might be used is provided.
Release date: 1989-06-15
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Articles and reports (3)
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- Articles and reports: 12-001-X198900214562Description:
This paper presents a technique for developing appropriate confidence intervals around postcensal population estimates using a modification of the ratio-correlation method termed the rank-order procedure. It is shown that the Wilcoxon test can be used to decide if a given ratio-correlation model is stable over time. If stability is indicated, then the confidence intervals associated with the data used in model construction are appropriate for postcensal estimates. If stability is not indicated, the confidence intervals associated with the data used in model construction are not appropriate, and, moreover, likely to overstate the precision of postcensal estimates. Given instability, it is shown that confidence intervals appropriate for postcensal estimates can be derived using the rank-order procedure. An empirical example is provided using county population estimates for Washington state.
Release date: 1989-12-15 - 2. Updating size measures in a probabilities proportional to size without replacement (PPSWOR) design ArchivedArticles and reports: 12-001-X198900214564Description:
It is sometimes required that a probabilities proportional to size without replacement (PPSWOR) sample of first stage units (psu’s) in a multistage population survey design be updated to take account of new size measures that have become available for the whole population of such units. However, because of a considerable investment in within-psu mapping, segmentation, listing, enumerator recruitment, etc., we would like to retain the same sample psu’s if possible, consistent with the requirement that selection probabilities may now be regarded as being proportional to the new size measures. The method described in this article differs from methods already described in the literature in that it is valid for any sample size and does not require enumeration of all possible samples. Further, it does not require that the old and the new sampling methods be the same and hence it provides a convenient way not only of updating size measures but also of switching to a new sampling method.
Release date: 1989-12-15 - Articles and reports: 12-001-X198900114576Description:
A typical goal of health workers in the developing world is to ascertain whether or not a population meets certain standards, such as the proportion vaccinated against a certain disease. Because populations tend to be large, and resources and time available for studies limited, it is usually necessary to select a sample from the population and then make estimates regarding the entire population. Depending upon the proportion of the sample individuals who were not vaccinated, a decision will be made as to whether the coverage is adequate or whether additional efforts must be initiated to improve coverage in the population. Several sampling methods are currently in use. Among these is a modified method of cluster sampling recommended by the Expanded Programme on Immunization (EPI) of the World Health Organization. More recently, quality assurance sampling (QAS), a method commonly used for inspecting manufactured products, has been proposed as a potentially useful method for continually monitoring health service programs. In this paper, the QAS method is described and an example of how this type of sampling might be used is provided.
Release date: 1989-06-15
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