Problems and Methods in Longitudinal Research: Stability and Change

ISBN-13: 9780521467322 / Angielski / Miękka / 1994 / 368 str.

David Magnusson; Georg Rudinger; Lars R. Bergman

Opis

Longitudinal research (or observing the same subject across time) in human development requires more careful planning than do cross-sectional studies and is demanding theoretically and organizationally. This volume focuses on methods of data treatment in longitudinal research emphasizing the importance of careful matching of methodology to the substantive problem under consideration. It deals particularly with concepts of stability and change that are central to personality and developmental research. Contributors to this volume explore the methodology and scope of life span studies in a variety of contexts, including intellectual and cognitive development, transitions such as that from childhood to early adult life, social mobility, behavioral genetics, and psychological disorder, particularly depression. It is a valuable reference for a wide range of researchers in developmental psychology, social and behavioral science, psychiatry, epidemiology, and statistics.

Recenzje

"...One finds in the 15 chapters both quantitative and qualitative procedures appropriate for questions on several levels of analysis. Examples are provided from numerous fields. The issues are critical both to planning and successful execution so the content of this volume will be useful for a long time." Perceptual and Motor Skills

Spis treści

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.