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This volume describes how well we maintain the knowledge we acquire throughout life. Research traditionally focuses on memory for events that are retained over short time periods that can be accommodated in experiments. This book, by contrast, uniquely describes the evolution of methods suitable for investigating memory of complex knowledge acquired over several years and retained during the entire life-span. The methods substitute statistical for experimental controls, and the investigations involve several hundred participants whose memory is tested up to 50 years after they acquired the knowledge in question.The book covers educational content, such as mathematics and foreign languages; knowledge acquired incidentally, such as the streets and buildings of the cities in which we live; and knowledge acquired through the media. Previously unpublished research on age-related access to knowledge is included.The analyses are based on the accessibility/availability ratio, a metric presented for the first time. This metric allows comparisons of the portion of available knowledge that can be recalled as a function of age, education and other individual differences, and as a function of the domain of knowledge in question. The ratio can be used to evaluate methods of instruction and methods of studying. It can also be used to evaluate memory development and to diagnose memory pathology.The volume will be of interest to researchers in human memory, developmental psychologists, gerontologists in academic and applied settings, and educators.

How is information stored and retrieved from long-term memory? It is argued that any systematic attempt to answer this question should be based on a particular set of specific representational assumptions that have led to the development of a new memory theory -- the connectivity model. One of the crucial predictions of this model is that, in sharp contrast to traditional theories, the speed of processing information increases as the amount and complexity of integrated knowledge increases. In this volume, the predictions of the model are examined by analyzing the results of a variety of different experiments and by studying the outcome of the simulation program CONN1, which illustrates the representation of complex semantic structures. In the final chapter, the representational assumptions of the connectivity model are evaluated on the basis of neuroanatomical and physiological evidence -- suggesting that neuroscience provides valuable knowledge which should guide the development of memory theories.

By analyzing the results of experiments that use a wide variety of training tasks including those that were predominantly perceptual, cognitive, or motoric, this volume answers such questions as: Why do some people forget certain skills faster than others? What kind of training helps people retain new skills longer? Inspired by the work of Harry Bahrick and the concept of'permastore,'the contributors explore the Stroop effect, mental calculation, vocabulary retention, contextual interference effects, autobiographical memory, and target detection. They also summarize an investigation on specificity and transfer in choice reaction time tasks. In each chapter, the authors explore how the degree to which reinstatement of training procedures during retention and transfer tests accounts for both durability and specificity of training. Researchers and administrators in education and training will find important implications in this book for enhancing the retention of knowledge of skills.'You have to read this book. Anyone interested in training will want to read it. This book provides the theoretical bases of the acquisition of durable skills for the next decade. It advances and demonstrates a new principle of skill learning that will prove to be as important as the encoding specificity principle and its corollary, the principle of transfer appropriate processing. This new principle is that highly practiced skill learning will be durable when the retention test embodies the procedures employed during acquisition. This principle, and the other important findings reported in this text, will have a great impact on the evolution of memory theory and on the wide range of applications.'--Douglas Hermann, University of Maryland