An analysis of data treatment methodology for longitudinal research studies.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
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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