Data quality in longitudinal research
Author(s)
Bibliographic Information
Data quality in longitudinal research
(European Network on Longitudinal Studies on Individual Development)
Cambridge University Press, 1990
Available at 25 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
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  United Kingdom
  Germany
  Switzerland
  France
  Belgium
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  United States of America
Note
Texts emanate from workshops organized by the European Network on Longitudinal studies on Individual Development
Includes bibliographies and indexes
Description and Table of Contents
Description
This book provides an overview of the central issues of data quality in longitudinal research, with a focus on data relevant for studying individual development. 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 endeavour by leading European scientists to discuss appropriate ways of handling various types of longitudinal data, including psychiatric data, alcohol data, and criminal data.
Table of Contents
- Preface
- List of contributors
- 1. General issues about data quality in longitudinal research L. Bergman and D. Magnusson
- 2. Improving the quality of psychiatric data: classification, cause and course M. Rutter and A. Pickles
- 3. Data in epidemiological longitudinal research G. Eklund
- 4. Data in pediatric longitudinal research R. Zetterstrom
- 5. Alcohol data in longitudinal research A. Uchtenhagen
- 6. Retrospective data, undesirable behaviour, and the longitudinal perspective C.-G. Janson
- 7. Minimising attrition in longitudinal research: methods in tracing and securing cooperation in a 24-year follow-up study D. P. Farrington, B. Gallagher, L. Morley, R. J. St Ledger and D. J. West
- 8. Minimising attrition in longitudinal studies: means or end? M. Murphy
- 9. N's, times and number of variables in longitudinal research G. Rudinger and P. K. Wood
- 10. Stability of patterns and patterns of stability in personality development J. B. Asendorpf and F. E. Weinert
- 11. Beyond correlations: from group data analyses to single case studies F. Schulsinger
- 12. Age, period, and cohort in the study of the life course: a comparison of classical A-P-C-analysis with event history analysis or farewell to lexis? K. U. Mayer and J. Huinink
- 13. New possibilities for longitudinal studies of intergenerational factors in child health and development J. Fox and K. Fogelman
- 14. Archiving longitudinal data A. Colby and E. Phelps.
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