Data quality in longitudinal research

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.