Problems and Methods in Longitudinal Research: Stability and Change

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Cambridge University Press, Mar 24, 1994 - Medical - 351 pages
Longitudinal research 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, emphasizing 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. The ultimate goal for developmental research is to understand and explain the developmental process underlying an individual's way of thinking, feeling, acting and reacting at any stage of the life process. Contributors to this volume explore the methodology and scope of life-span longitudinal studies in a variety 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. Stressing the advantages of the prospective approach, and providing detailed analysis of the methodologies available, this volume is based on a workshop sponsored by the European Science Foundation. It will be of particular interest to social and behavioural scientists, and to research workers in such disciplines as psychology, psychiatry and epidemiology where longitudinal studies have an important place in the study of human development.

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Studying individual development problems and methods
Modeling individual and average human growth data from childhood to adulthood
Intraindividual variability in older adults depression scores some implications for developmental theory and longitudinal research
Now you see it now you dont some considerations on multiple regression
Differential development of health in a lifespan perspective
Assessing change in a cohortlongitudinal study with hierarchical data
Statistical and conceptual models of turning points in developmental processes
Qualitative analyses of individual differences in intraindividual change examples from cognitive development
Eventhistory models in social mobility research
Behavioral genetic concepts in longitudinal analyses
Genetic and environmental factors in a developmental perspective
Structural equation models for studying intellectual development
Longitudinal studies for discrete data based on latent structure models
Stability and change in patterns of extrinsic adjustment problems

Application of correspondence analysis to a longitudinal study of cognitive development

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