This article distinguishes between normal and pathological aging, provides an interdisciplinary context, and then considers a sample case of cognitive aging. Developmental influences on cognition include the physiological infrastructure, genetic predispositions, and environmental influences. Different types of longitudinal studies are distinguished, and contrasting findings of cross-sectional and longitudinal are examined in the sample case of the Seattle Longitudinal Study. Also considered is the longitudinal context for intervention studies and the role of longitudinal family studies in assessing rate of aging and generational differences in rates of aging. Finally, attention is given to the role of longitudinal studies in the early detection of risk for dementia in advanced age.In this article I distinguish between normal and pathological aging, provide some historical context, discuss shifts in relevant methodological paradigms, provide an interdisciplinary context, and then consider a sample case of cognitive aging in greater detail.A distinction is made between age related declines that should be attributed either to neuropathology or to disuse and obsolescence. But aging can also be considered as development in domains such as experience and wisdom, and we must distinguish between successful and unsuccessful aging.The study of adult development originated in the early mental testing movement. Crosssectional findings of substantial age-related declines from early to late adulthood soon motivated the development of longitudinal studies. Other methodological paradigm shifts of importance to longitudinal inquiry have involved advances in the measurement of age, confirmatory factor analysis, and treatment of age as the dependent variable.I then present a model that considers the roles of age-related changes in the physiological infrastructure, genetic predispositions, and environmental influences. Different types of longitudinal studies are distinguished, and contrasting findings of cross-sectional and longitudinal studies are examined in the sample case of the Seattle Longitudinal Study.Selected findings from this study are presented to discuss the complex interaction of longitudinal age changes and cohort differences. The latter introduces the role of longitudinal family studies in assessing rate of aging and generational differences in rates of aging. Also, I briefly consider the longitudinal context for intervention studies designed to slow the rate of aging.And, finally, I discuss the role of longitudinal studies in the early detection of risk for dementia in advanced age, which involves linkages between studies of normal and pathological aging as well as attention to genetic markers of dementia.Requests for reprints should be sent to