Selective Optimization with Compensation Measurement
Selective optimization with compensation (SOC) is a life-span developmental model that explains how people manage the shifting balance of gains and losses across adulthood and old age to maintain functioning and wellbeing. Proposed by Paul Baltes and Margret Baltes in 1990 as a general theory of successful aging, it holds that adaptive development rests on the orchestrated use of three strategies: selection of goals and domains, optimization of the means and resources devoted to those goals, and compensation for losses through alternative means. The model is deliberately metatheoretical, applying from the molecular level of a single skill to the broad organization of a life, and it provided gerontology with a proactive account of agency in aging rather than a story of inevitable decline. Beyond the conceptual model, Baltes and colleagues developed a self-report SOC questionnaire that operationalizes the four facets, turning the theory into a measurable individual-difference construct. Empirically, greater reported use of SOC strategies is associated with higher subjective wellbeing, life satisfaction, and successful-aging outcomes. The framework remains one of the most influential accounts of how individuals adapt to the constraints of later life.
Record di origine
Citazioni copiate testualmente dal record di origine del metodo. Non si inferisce alcuna verifica a livello di affermazione da esse.
- Baltes, P. B., & Baltes, M. M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In P. B. Baltes & M. M. Baltes (Eds.), Successful aging: Perspectives from the behavioral sciences (pp. 1-34). Cambridge University Press. · ISBN 9780521437820
Affermazioni curate
Affermazioni persistite nel registro delle evidenze, ciascuna con la propria valutazione.
Questa vista non inventa una valutazione dell'affermazione quando il registro non ne ha.
Metodi correlati
Generato dal grafo dei metodi e mostrato come relazioni suggerite dalla macchina — nessuna affermazione di evidenza viene inferita.