書誌事項

Problems and methods in longitudinal research : stability and change

edited by David Magnusson ... [et al.]

(European Network on Longitudinal Studies on Individual Development, 5)

Cambridge University Press, 1991

  • : hard
  • : pbk

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注記

Texts emanate from workshops organized by the European Network on Longitudinal Studies on Individual Development

Includes bibliographies and index

内容説明・目次

内容説明

This volume focuses on methods of data treatment, emphasising the importance of careful matching of methodology to the substantive problem under consideration. It deals particularly with concepts of stability and change which are central to personality and developmental research. Contributions to this volume explore the methodology and scope of life span studies in a varity of contexts, including intellectual and cognitive development, transitions such as that from childhood to early adult life, social mobility, behavioural genetics, and psychological disorder, particularly depression. A valuable reference for a wide range of interests in developmental psychology, social and behavioural science, psychiatry, epidemiology and statistics.

目次

  • 1. Studying individual development: problems and method
  • 2. Modeling individual and average human growth data from childhood to adulthood
  • 3. Intraindividual variability in older adults' depression scores: some implications for developmental theory and longitudinal research
  • 4. Now you see it, now you don't - some considerations on multiple regression
  • 5. Differential development of health in a life-span perspective
  • 6. Assessing of change in a cohort-longitudinal study with hierarchical data
  • 7. Statistical and conceptual models of 'turning points' in developmental processes
  • 8. Qualitative analysis of individual differences in intraindividual change: examples from cognitive development
  • 9. Application of correspondence analysis to a longitudinal study of cognitive development
  • 10. Event history models in social mobility research
  • 11. Behavioural genetic concepts in longitudinal analyses
  • 12. Genetic and environmental factors in a developmental perspective
  • 13. Structural equation models for studying intellectual development
  • 14. Longitudinal studies for discrete data based on latent structure models
  • 15. Stability and change in patterns of extrinsic adjustment problems.

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