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| | Nat' Academies Press, Leveraging Longitudinal Data in Developing Countries: Report of a Workshop (2002) |
 | | Longitudinal community studies, also known as population laboratories or demographic surveillance studies, systematically collect data (generally on fertility, mortality, and in- and out-migration) from all individuals (at least all individuals of interest in all households) in geographically demarcated communities. |
 | | To maximize the time devoted to comparing longitudinal approaches, workshop participants did not address topics related to cross-sectional data, including a comparison of longitudinal and cross-sectional approaches, and to techniques such as synthetic cohort analysis and retrospective data, which can be used with cross-sectional data to simulate longitudinal data. |
 | | As discussed in previous sections, longitudinal community studies often work with massive amounts of data that are continually collected, and they have goals and relationships with communities that differ greatly from those associated with other longitudinal studies thus data collectors involved with those studies face multiple demands. |
| www.nap.edu /books/0309084504/html/1.html (5280 words) |
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