This volume focuses on methods of data treatment, emphasising 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. Contributions to this volume explore the methodology and scope of life span studies in a varity 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. A valuable reference for a wide range of interests in developmental psychology, social and behavioural science, psychiatry, epidemiology and statistics.
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"...provides good examples of a wide variety of methods, ranging in degree of complexity, for analyzing longitudinal data; the authors represent many disciplines and are international experts in longitudinal methods; and their applications cover areas as diverse as cognition and intelligence, self and personality, health status, and even social mobility...raises sociologists' awareness of the individual differences perspective favored in many other disciplines...will appeal to scholars from many disciplines who have specialized interests in individual development over time. It is also a fine volume for sociologists who want to learn more about the ways in which researchers in the individual-differences tradition approach individual analyses." Richard A. Setterson, Jr. & Thomas D. Cook, Contemporary Sociology
"...One finds in the 15 chapters both quantitative and qualitative procedures appropriate for questions on several levels of analysis. Examples are provided from numerous fields. The issues are critical both to planning and successful execution so the content of this volume will be useful for a long time." Perceptual and Motor Skills
Longitudinal research in human development requires more careful planning than do cross-sectional studies. This volume, based on a workshop sponsored by the European Science Foundation, focuses on methods of data treatment, emphasising the importance of careful matching of methodology to the substantive problems under consideration.
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