David Magnusson / R. Bergman (eds.)
Data Quality in Longitudinal Research
Herausgeber: Bergman, Lars R.; Magnusson, David
David Magnusson / R. Bergman (eds.)
Data Quality in Longitudinal Research
Herausgeber: Bergman, Lars R.; Magnusson, David
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This book provides an overview of the central issues of data quality in longitudinal research.
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This book provides an overview of the central issues of data quality in longitudinal research.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 298
- Erscheinungstermin: 27. März 2015
- Englisch
- Abmessung: 235mm x 157mm x 21mm
- Gewicht: 585g
- ISBN-13: 9780521380911
- ISBN-10: 052138091X
- Artikelnr.: 26676877
- Verlag: Cambridge University Press
- Seitenzahl: 298
- Erscheinungstermin: 27. März 2015
- Englisch
- Abmessung: 235mm x 157mm x 21mm
- Gewicht: 585g
- ISBN-13: 9780521380911
- ISBN-10: 052138091X
- Artikelnr.: 26676877
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.
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.
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.
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.