David Faust – författare

Digital technology use, whether on smartphones, tablets, laptops, or other devices, is prevalent across cultures. Certain types and patterns of digital technology use have been associated with mental health concerns, but these technologies also have the potential to improve mental health through the gathering of information, by targeting interventions, and through delivery of care to remote areas. The Oxford Handbook of Digital Technologies and Mental Health provides a comprehensive and authoritative review of the relationships between mental health and digital technology use, including how such technologies may be harnessed to improve mental health. Understanding the positive and negative correlates of the use of digital technologies has significant personal and public health implications, and as such this volume explores in unparalleled depth the historical and cultural contexts in which technology use has evolved; conceptual issues surrounding digital technologies; potential positive and potential negative impacts of such use; treatment, assessment, and legal considerations around digital technologies and mental health; technology use in specific populations; the use of digital technologies to treat psychosocial disorders; and the treatment of problematic internet use and gaming. With chapters contributed by leading scientists from around the world, this Handbook will be of interest to those in medical and university settings, students and clinicians, and policymakers.

Digital technology use, whether on smartphones, tablets, laptops, or other devices, is prevalent across cultures. Certain types and patterns of digital technology use have been associated with mental health concerns, but these technologies also have the potential to improve mental health through the gathering of information, by targeting interventions, and through delivery of care to remote areas. The Oxford Handbook of Digital Technologies and Mental Health provides a comprehensive and authoritative review of the relationships between mental health and digital technology use, including how such technologies may be harnessed to improve mental health. Understanding the positive and negative correlates of the use of digital technologies has significant personal and public health implications, and as such this volume explores in unparalleled depth the historical and cultural contexts in which technology use has evolved; conceptual issues surrounding digital technologies; potential positive and potential negative impacts of such use; treatment, assessment, and legal considerations around digital technologies and mental health; technology use in specific populations; the use of digital technologies to treat psychosocial disorders; and the treatment of problematic internet use and gaming. With chapters contributed by leading scientists from around the world, this Handbook will be of interest to those in medical and university settings, students and clinicians, and policymakers.

Digital technology use, whether on smartphones, tablets, laptops, or other devices, is prevalent across cultures. Certain types and patterns of digital technology use have been associated with mental health concerns, but these technologies also have the potential to improve mental health through the gathering of information, by targeting interventions, and through delivery of care to remote areas. The Oxford Handbook of Digital Technologies and Mental Health provides a comprehensive and authoritative review of the relationships between mental health and digital technology use, including how such technologies may be harnessed to improve mental health. Understanding the positive and negative correlates of the use of digital technologies has significant personal and public health implications, and as such this volume explores in unparalleled depth the historical and cultural contexts in which technology use has evolved; conceptual issues surrounding digital technologies; potential positive and potential negative impacts of such use; treatment, assessment, and legal considerations around digital technologies and mental health; technology use in specific populations; the use of digital technologies to treat psychosocial disorders; and the treatment of problematic internet use and gaming. With chapters contributed by leading scientists from around the world, this Handbook will be of interest to those in medical and university settings, students and clinicians, and policymakers.

This unique book documents the deficiencies of psychiatric and psychological evidence, and demonstrates how to cross-examine and challenge the expertise of psychiatrists and psychologists. The sixth edition of this classic will be contained in one volume for the first time, and is a professional 'must have' for attorneys.

Mental health professionals often make explicit or implicit predictions involving crucial matters--Is a client at risk for self-harm or harming others? What treatment approach is most likely to be successful? Has a child been subjected to sexual or physical abuse? Decision research has particularly strong applied use for improving the accuracy of such determinations; unfortunately this work has not been broadly disseminated in the mental health field.Applying Decision Research to Improve Clinical Outcomes, Psychological Assessment, and Clinical Prediction introduces graduate students and practitioners in the mental health field to research, knowledge, and practical strategies that can enhance diagnostic and predictive accuracy and thereby improve client care. Major chapters of the book address well-established, but often under-recognized, principles and procedures for improving the integration of clinical data and interpretive accuracy; the differentiation between seemingly accurate but illusory, as opposed to genuine, associations between signs, symptoms, and outcomes; and the minimization of impediments to accurate decision making. The authors merge applied clinical tasks in the mental health field with decision research and cognitive psychology to suggest ways in which prediction, diagnosis, and assessment can be accomplished with greater efficacy and precision.

Mental health professionals often make explicit or implicit predictions involving crucial matters--Is a client at risk for self-harm or harming others? What treatment approach is most likely to be successful? Has a child been subjected to sexual or physical abuse? Decision research has particularly strong applied use for improving the accuracy of such determinations; unfortunately this work has not been broadly disseminated in the mental health field. Applying Decision Research to Improve Clinical Outcomes, Psychological Assessment, and Clinical Prediction introduces graduate students and practitioners in the mental health field to research, knowledge, and practical strategies that can enhance diagnostic and predictive accuracy and thereby improve client care. Major chapters of the book address well-established, but often under-recognized, principles and procedures for improving the integration of clinical data and interpretive accuracy; the differentiation between seemingly accurate but illusory, as opposed to genuine, associations between signs, symptoms, and outcomes; and the minimization of impediments to accurate decision making. The authors merge applied clinical tasks in the mental health field with decision research and cognitive psychology to suggest ways in which prediction, diagnosis, and assessment can be accomplished with greater efficacy and precision.

Mental health professionals often make explicit or implicit predictions involving crucial matters--Is a client at risk for self-harm or harming others? What treatment approach is most likely to be successful? Has a child been subjected to sexual or physical abuse? Decision research has particularly strong applied use for improving the accuracy of such determinations; unfortunately this work has not been broadly disseminated in the mental health field. Applying Decision Research to Improve Clinical Outcomes, Psychological Assessment, and Clinical Prediction introduces graduate students and practitioners in the mental health field to research, knowledge, and practical strategies that can enhance diagnostic and predictive accuracy and thereby improve client care. Major chapters of the book address well-established, but often under-recognized, principles and procedures for improving the integration of clinical data and interpretive accuracy; the differentiation between seemingly accurate but illusory, as opposed to genuine, associations between signs, symptoms, and outcomes; and the minimization of impediments to accurate decision making. The authors merge applied clinical tasks in the mental health field with decision research and cognitive psychology to suggest ways in which prediction, diagnosis, and assessment can be accomplished with greater efficacy and precision.

This new book introduces a new generation to the important insights of Paul Meehl. In addition to selected papers from the classic reader, Psychodiagnosis, this book features new material selected from Meehl's most influential writings. The resulting collection is a tour de force illustrating quantitative analysis of life science problems, an examination of the inadequacy of some methods of analysis, and a review of the application of taxometrics.A Paul Meehl Reader is organized into five content areas: theory building and appraisal - how we discover and test the true causal relations of psychological constructs; specific etiology - an examination of genetic, behavioral, and environmental etiology in psychopathology; diagnosis and prediction - a review of the appropriate use of base rates; taxometrics - a look at Meehl's development of the method he invented; thinking effectively about psychological questions - a critique of correlation research and the power of quantitative thinking in psychology.The Reader features section introductions to orient the reader and provide a context and structure for Paul Meehl's work. The section on diagnosis and prediction features problem sets with solutions to guide the reader through practical applications of the principles described. Accompanying downloadable resources contain footage from Paul Meehl's engaging seminar on clinical versus statistical prediction. This book appeals to advanced students and professionals in psychology, sociology, law, education, human development, and philosophy.

The Limits of Scientific Reasoning was first published in 1984. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions.The study of human judgment and its limitations is essential to an understanding of the processes involved in the acquisition of scientific knowledge. With that end in mind, David Faust has made the first comprehensive attempt to apply recent research on human judgment to the practice of science. Drawing upon the findings of cognitive psychology, Faust maintains that human judgment is far more limited than we have tended to believe and that all individuals - scientists included—have a surprisingly restricted capacity to interpret complex information. Faust's thesis implies that scientists do not perform reasoning tasks, such as theory evaluation, as well as we assume they do, and that there are many judgments the scientist is expected to perform but cannot because of restrictions in cognitive capacity."This is a very well-written, timely, and important book. It documents and clarifies, in a very scholarly fashion, what sociologists and psychologists of science have been flirting with for several decades—namely, inherent limitations of scientific judgment," –Michael Mahoney, Pennsylvania State UniversityDavid Faust is director of psychology at Rhode Island Hospital and a faculty member of the Brown University Medical School. He is co-author of Teaching Moral Reasoning: Theory and Practice.