Data Quality in Longitudinal Research

Front Cover
Cambridge University Press, May 25, 1990 - Medical - 285 pages
1 Review
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.

What people are saying - Write a review

User Review - Flag as inappropriate


Other editions - View all

References to this book

Methods in Aging Research
Byung Pal Yu
No preview available - 1998
All Book Search results »

Bibliographic information