Data Quality in Longitudinal Research

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Cambridge University Press, May 25, 1990 - Medical - 285 pages
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This overview of the central issues of data quality in longitudinal research focuses on data relevant for studying individual development. The topics covered include reliability, validity, sampling, aggregation, and the correspondence between theory and method. More specific, practical issues in longitudinal research, such as the drop-out problem and issues of confidentiality are also addressed. The volume is the result of an interdisciplinary endeavor by leading European scientists to discuss appropriate ways of handling various types of longitudinal data, including psychiatric data, alcohol data, and criminal data.

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Methods in Aging Research
Byung Pal Yu
No preview available - 1998
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About the author (1990)

Lars Bergman and Marian Radetzki are academic experts in science and public policy for SNS Center for Business and Policy Studies.

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