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Data Quality in Longitudinal Research [Hardcover]

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  • Category: Books (Medical)
  • ISBN-10:  052138091X
  • ISBN-10:  052138091X
  • ISBN-13:  9780521380911
  • ISBN-13:  9780521380911
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  298
  • Pages:  298
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-1990
  • Pub Date:  01-May-1990
  • SKU:  052138091X-11-MPOD
  • SKU:  052138091X-11-MPOD
  • Item ID: 100752722
  • Seller: ShopSpell
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This book provides an overview of the central issues of data quality in longitudinal research.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.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.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.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 behaviolc_
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