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.
General
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