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Paul B. Baltes
Researcher at Max Planck Society
Publications - 395
Citations - 50491
Paul B. Baltes is an academic researcher from Max Planck Society. The author has contributed to research in topics: Cognition & Personality. The author has an hindex of 97, co-authored 395 publications receiving 48745 citations. Previous affiliations of Paul B. Baltes include West Virginia University & Pennsylvania State University.
Papers
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Book ChapterDOI
Psychological perspectives on successful aging: The model of selective optimization with compensation.
Paul B. Baltes,Margret M. Baltes +1 more
TL;DR: Baltes et al. as discussed by the authors presented a psychological model for the study of successful aging that, they contend, is consistent with the propositional framework, based on the premise that successful individual development (including aging) is a process involving three components: selection, optimization, and compensation.
Journal ArticleDOI
Theoretical propositions of life-span developmental psychology : On the dynamics between growth and decline
TL;DR: In this article, a family of theoretical perspectives associated with this metatheoretical view of life-span developmental psychology includes the recognition of multidirectionality in ontogenetic change, consideration of both age-connected and disconnected developmental factors, a focus on the dynamic and continuous interplay between growth (gain) and decline (loss), emphasis on historical embeddedness and other structural contextual factors, and the study of the range of plasticity in development.
BookDOI
Successful aging: Perspectives from the behavioral sciences
Paul B. Baltes,Margret M. Baltes +1 more
TL;DR: In this article, the Bonn longitudinal study of aging: coping, life adjustment, and life satisfaction is presented, as well as risk and protective factors in the transition to young adulthood.
Book
Life-Span Development and Behavior
TL;DR: In this paper, the dynamics between dependency and autonomy are illustrated across the life span, and a log-linear model of categorical data in developmental research is used to model the relationship between dependent and autonomy.