There is considerable debate over the extent to which cognitive tasks can be learned non-consciously or implicitly. In recent years a large number of studies have demonstrated a discrepancy between explicit knowledge and measured performance. This book presents an overview of these studies and attempts to clarify apparently disparate results by placing them in a coherent theoretical framework. It draws on evidence from neuropsychological and computational modelling studies as well as the many laboratory experiments. Chapter one sets out the background to the large number of recent studies on implicit learning. It discusses research on implicit memory, perception without awareness, and automaticity. It attempts to set the implicit - explicit distinction in the context of other relevant dichotomies in the literature. Chapter two presents an overview of research on the control of complex systems, from Broadbent (1977) through to the present day. It looks at the accessibility of control task knowledge, as well as whether there is any other evidence for a distinction between implicit and explicit modes of learning. Chapter three critically reviews studies claiming to show that people can acquire concepts without being verbally aware of the basis on which they are responding. It shows that concept formation can be implicit in some sense but not in others. Chapter four investigates the claim that people can learn sequential information in an implicit way. Chapter five looks at whether computational modelling can elucidate the nature of implicit learning. It examines the feasibility of different exemplar connectionist models in accounting for performance in concept learning, sequence learning, and control task experiments. Chapter six reviews evidence concerning dissociations between implicit and explicit knowledge in various neuropsychological syndromes. Finally, chapters seven and eight discuss the many practical and theoretical implications of the research.
This is the first book to clearly assess the increasingly important area of communication of risk in the health sector. We are moving away from the days when paternalistic doctors managed healthcare without involving patients in decision making. With the current emphasis on patient empowerment and shared decision making, patients want and need reliable, comprehensive and understandable information about their conditions and treatment. In order to make informed decisions, the people concerned must understand the risks and benefits associated with possible treatments. But the challenge for health professionals is how best to communicate this complex medical information to diverse audiences.
Success at seeking and gaining funding is now a vital component of building of a successful research career. The book sets out the case for why success at winning funding is so important, from both an institutional and individual researcher perspective.
“Psychoanalysis may be said to have been born in the twentieth century,” Freud said late in his career, “but it did not drop from the skies ready-made.” And in his speculative theories of modernism, Bruno Latour argued that “no science can exit from the network of its practice.” Deploying Latour’s model of scientific theory production, this book argues that the historical emergence of psychoanalysis depended on nineteenth-century scientific practices: laboratory experimentation, medical transmission of research findings along collegial or social networks, and medical representation of illness—including case studies, amphitheatrical demonstration of cases, hospital records of symptoms, and laboratory graphology and photography of patients. The author shows how hysteria enabled Freud to appropriate medical and scientific concepts from neurology, sexology, gynecology, psychiatry, and existing rest cures and psychotherapies. His new model eschewed physiological determinism, linking unconscious ideation with counterwill and reproduced memory, psychosexual experience, and affect-laden images of object relations (usually with family members). Constructing around himself a psychoanalytic circle and establishing training institutions, Freud translated this new psycho-physical body and hybrid subjectivity to other research sites. Just as in the 1890’s he had used the figure of the hysteric to mobilize theory production, by the 1920’s he had replaced the hysteric with a modernized figure, the homosexual. Freud used autobiography, summary, and outline to stabilize his concepts and control the dissemination of his new science. Psychoanalysis had successfully created new scientific “plausible bridges” between psyche and soma, nature and the social, to produce a modern theory of hybrid subjectivity that was rooted in yet conceptually separated from the body.
In this book, top specialists address theoretical, methodological, and empirical multilevel models as they relate to the analysis of individual and cultural data. Divided into four parts, the book opens with the basic conceptual and theoretical issues in multilevel research, including the fallacies of such research. Part II describes the methodological aspects of multilevel research, including data-analytic and structural equation modeling techniques. Applications and models from various research areas including control, values, organizational behavior, social beliefs, well-being, personality, response styles, school performance, family, and acculturation, are explored in Part III. This section also deals with validity issues in aggregation models. The book concludes with an overview of the kinds of questions addressed in multilevel models and highlights the theoretical and methodological issues yet to be explored. This book is intended for researchers and advanced students in psychology, sociology, social work, marriage and family therapy, public health, anthropology, education, economics, political science, and cultural and ethnic studies who study the relationship between behavior and culture.
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