In the World Library of Psychologists series, international experts present career-long collections of what they judge to be their finest pieces - extracts from books, key articles, salient research findings, and their major practical theoretical contributions. In this fascinating collection, Professor Gordon Claridge charts the development of a model of mental health that blurs the line between madness and sanity, conditions such as schizophrenia and other forms of psychosis seen as dimensions of 'normal' personality and temperament rather than separate abnormalities. Working with, and influenced by, the late Hans Eysenck, Claridge is celebrated for evolving research on personality and psychological disorders into a revised view of the spectrum of psychotic traits. The concept of schizotypy, re-evaluated by Claridge, sees mental illness not as a pathology suffered by a few, but as the end of a continuum experienced by us all. Psychopathology and Personality Dimensions brings together some of the author's most influential publications on the topics of schizotypy and psychoticism, personality disorders, and the use of drug techniques to investigate normal and abnormal individual differences. Interspersed throughout with specially-written retrospectives by Professor Claridge, looking back at his work and contextualising where it sits in the wider literature, the collection illustrates a radical and influential model of mental illness that continues to resonate today. This book is an essential resource for all those engaged or interested in the field of personality and psychological disorders.

This book describes mindfulness and meditation practices and programs for adolescents by situating the topic in a bio-psychosocial-cultural approach. Using this framework, the benefits of these practices and programs for adolescents- with an emphasis on evidence-based practices-are explored. In addition to programs based on mindfulness, meditation programs using Transcendental Meditation, Herbert Benson's Relaxation Response, and the Center for Mind Body Medicine's group programs are discussed. The book is targeted toward educators, mental health professionals, researchers, and graduate students interested in the application, development, and study of mindfulness and meditation practices and programs for adolescents.

This work brings together different perspectives on psychological methods and particularly methods involving experimentation. To encourage a reflective use of research methods, the authors illuminate the historical, philosophical, and scientific dimensions of methodology, providing both defenses and criticisms of experimental psychology. The primary audience of the work are students and researchers in psychological and behavioral sciences, who have an interest in methodology

This handbook on human multitasking provides an integrative overview on simultaneous and sequential multitasking and thus combines theorizing on dual task limitations as well as costs related to task switching. In addition to a wide range of empirical findings and their theoretical integration, the editors provide a number of applications of multitasking, like training, interindividual differences and applied research in traffic and health psychology and music expertise. The book is suitable for people interested in multitasking, that is, for researchers and graduate students of cognitive psychology, movement science, sport psychology, cognitive neuroscience, cognitive and neurological rehabilitation, aging sciences, and broader cognitive science.

El trabajo aborda una serie de criterios psicopedagogicos, que deben tenerse en cuenta para la formacion de valores tales como: En que sujetos deseamos educar valores?. Que valores posee ese joven universitario?. Cual es su nivel de motivacion profesional? Cuales valores educar? Como concebir a la personalidad? De cuales principios psicopedagogicos partir? Estos criterios fueron la base de la metodologia elaborada para la formacion de valores desde la disciplina Gestion del Talento Humano, en la Universidad Agostinho Neto, cuyos pasos se muestran a continuacion. Primer paso: Realizar un diagnostico inicial. Segundo paso: disenar el proyecto educativo de la disciplina. Tercer paso: realizar un diagnostico de salida. La puesta en practica de dicha metodologia durante varios anos, ha permitido incrementar la eficiencia y eficacia del proceso de ensenanza aprendizaje, lo cual se manifiesta en una mejor preparacion cientifico-tecnica y moral de los egresados. Palabras Claves: Formacion de Valores

Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. Features of the ninth edition: * Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics * Up-to-date journal excerpts reflecting contemporary styles in statistical reporting * Strong emphasis on data visualization * Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios About this book Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questions on the journal excerpts promote learning by helping students * interpret information in tables and figures, * perform simple calculations to further their interpretations, * critique data-reporting techniques, and * evaluate procedures used to collect data. The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The Factual Questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook.

This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the ?rst paper on this topic in 2001 [Hoijtink, H. Con?rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563-588]. The current state of a?airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e?orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con?dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti?c Research (NWO) whose VICI grant (453-05-002) awarded to the ?rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.

Neuropsychology for Occupational Therapists is a bestselling, comprehensive guide to the assessment and rehabilitation of impaired cognitive function and brain damage. Divided into two parts, the first introduces the fundamental role cognition has in occupational performance, before moving on to examine the theoretical frameworks behind cognitive rehabilitation. The second part covers the key components of each cognitive function, including attention, visual perception, movement, memory, and executive functions, and the disorders associated with them. Revised throughout, this invaluable new edition includes: * Updated theory and evidence base of neuropsychology * Frameworks and guidelines for assessment and intervention in practice * Updated content on attention, memory and executive functions * A new chapter on cognitive function in later years, and working with people to maintain cognitive health. Written in a clear and engaging style by an experienced author team of academic occupational therapists, with contributions from expert practising clinicians, it is full of a range of learning features, including case studies, summaries, and reflective activities, as well as for the first time narratives of the lived experience of cognitive impairment. Neuropsychology for Occupational Therapists is essential reading for students, newly qualified practitioners, and all those who work within neuropsychology and cognitive rehabilitation.

This book presents a critical examination of the development of user involvement within research, and investigates the issues currently preventing a productive integration of Mad knowledges within research and practice. Drawing on social, linguistic and critical theories, it proposes the conditions needed to address the development of Mad epistemologies. The author's unique approach deliberately highlights her own positionality and draws on decades of experience as a service recipient, survivor, activist and researcher to illustrate the structural and symbolic barriers faced. Employing concepts including epistemic injustice, individualization, normalization and structural violence, it suggests a radically new way of articulating 'what's the matter with us?' In doing so, the book itself goes some way towards enacting the radical challenge to academic and epistemic hierarchies which, it is argued, will be required to further advance mad knowledges and user-led research. Crucially, it demonstrates how this approach can be both methodologically and conceptually rigorous. This novel work holds important insights for students and scholars across the humanities and social sciences; particularly those working in the areas of critical psychology, disability studies, Mad studies, feminist studies, critical race theory, and Queer theory.

Whereas the diagnosis, explanation, and treatment of physical illness are scientifically sound, this is not true of psychiatric care of mental disorder. Depression, the #1 psychiatric diagnosis, illustrates this failure and it is the subject of Grifting Depression: Psychiatry's Failure as a Medical Science. Psychiatry's current form of medicalization began in 1980 with publication of DSM-III, the diagnostic manual that became the basis for the chemical imbalance theory, psychiatry's explanation for depression, and for reliance on antidepressant drugs to treat depression, "revolutionizing psychiatric care." DSM-III became the model for all the DSM manuals that followed. However, unlike other medical diagnostic manuals, the DSM fails to meet scientific and medical standards of reliability and validity. The chemical imbalance theory is based on research that violates basic tenets of the scientific method. Tests of the theory contradict it. In addition, tests of treatment effectiveness find antidepressant drugs to be no better than placebo. Studies show that the benefit attributed to antidepressant drugs is a placebo effect, but unlike placebos, the chemicals in these drugs are harmful to many. Research strongly supports an alternative theory, a behavioral explanation (psychological rather than biological) for most of the mental disorders listed in the DSM, including most cases of depression. Moreover, although it has not been recognized as the treatment of choice for depression, outcome studies convincingly show behavior therapy is more effective than drug treatment and it is safe. Conflict of interest, not science, is determining psychiatric care.

Learn How to Infuse Leadership into Your Passion for Scientific Research Leadership and Women in Statistics explores the role of statisticians as leaders, with particular attention to women statisticians as leaders. By paying special attention to women's issues, this book provides a clear vision for the future of women as leaders in scientific and technical fields. It also shows how emerging and current leaders of both genders in many disciplines can expand their leadership potentials. Featuring contributions from leadership experts and statisticians at various career stages, this unique and insightful text: Examines leadership within the roles of statistician and data scientist from international and diverse perspectives Supplies a greater understanding of leadership within teams, research consulting, and project management Encourages reflection on leadership behaviors, promoting both natural and organizational leadership Identifies existing opportunities to foster creative outputs and develop strong leadership voices Includes real-life stories about overcoming barriers to leadership Leadership and Women in Statistics explains how to convert a passion for statistical science into visionary, ethical, and transformational leadership. Although the context focuses on statistics, the material applies to almost all fields of endeavor. This book is a valuable resource for those ready to consider leadership as an important element of their careers, and for those who are already leaders but want to deepen their perspectives on leadership. It makes an ideal text for group leadership training as well as for individual professional development.

This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available to practitioners. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses.

This book is a first attempt to combine insights from the two perspectives with regard to the question of meaning by examining a collection of theoretical and empirical works. This volume therefore is destined to become an important addition to psychological literature: both from the viewpoint of the history of ideas (again this would be one of the first times that positive and existentialist psychologies meet) and from the viewpoint of theoretical and empirical research into the meaning concept in psychology.

This is an international and interdisciplinary volume that provides a new look at the general background of the social sciences from a philosophical perspective and provides directions for methodology. It seeks to overcome the limitations of the traditional treatises of a philosophy of science rooted in the physical sciences, as well as extend the coverage of basic science to intentional and socially normative features of the social sciences. The discussions included in this book are divided into four thematic sections: Social and cognitive roots for reflexivity upon the research process Philosophies of explanation in the social sciences Social normativity in social sciences Social processes in particular sciences Social Philosophy of Science for the Social Sciences will find an interested audience in students of the philosophy of science and social sciences. It is also relevant for researchers and students in the fields of psychology, sociology, economics, anthropology, education, and political science.

This book proposes a novel view to explain how we as humans -- contrary to current robots -- can have the impression of consciously feeling things: for example the red of a sunset, the smell of a rose, the sound of a symphony, or a pain.
The book starts off by looking at visual perception. Our ability to see turns out to be much more mysterious than one might think. The eye contains many defects which should seriously interfere with vision. Yet we have the impression of seeing the world in glorious panavision and technicolor. Explaining how this can be the case leads to a new idea about what seeing really is. Seeing is not passively receiving information in the brain, but rather a way of interacting with the world. The role of the brain is not to create visual sensation, but to enable the necessary interactions with the world.
This new approach to seeing is extended in the second part of the book to encompass the other senses: hearing, touch, taste and smell. Taking sensory experiences to be modes of interacting with the world explains why these experiences are different in the way they are. It also explains why thoughts or automatic functions in the body, and indeed the vast majority brain functions, are not accompanied by any real feeling.
The "sensorimotor" approach is not simply a philosophical argument: It leads to scientifically verifiable predictions and new research directions. Among these are the phenomena of change blindness, sensory substitution, "looked but failed to see," as well as results on color naming and color perception and the localisation of touch on the body.
The approach is relevant to the question of what animals and babies can feel, and to understanding what will be necessary for robots to become conscious.

This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the absence of a credible model that can be specified before the data analysis begins. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis depends in an integrated fashion on sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. The unifying theme is that supervised learning properly can be seen as a form of regression analysis. Key concepts and procedures are illustrated with a large number of real applications and their associated code in R, with an eye toward practical implications. The growing integration of computer science and statistics is well represented including the occasional, but salient, tensions that result. Throughout, there are links to the big picture. The third edition considers significant advances in recent years, among which are: the development of overarching, conceptual frameworks for statistical learning; the impact of "big data" on statistical learning; the nature and consequences of post-model selection statistical inference; deep learning in various forms; the special challenges to statistical inference posed by statistical learning; the fundamental connections between data collection and data analysis; interdisciplinary ethical and political issues surrounding the application of algorithmic methods in a wide variety of fields, each linked to concerns about transparency, fairness, and accuracy. This edition features new sections on accuracy, transparency, and fairness, as well as a new chapter on deep learning. Precursors to deep learning get an expanded treatment. The connections between fitting and forecasting are considered in greater depth. Discussion of the estimation targets for algorithmic methods is revised and expanded throughout to reflect the latest research. Resampling procedures are emphasized. The material is written for upper undergraduate and graduate students in the social, psychological and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems.

Advancing work to effectively study, understand, and serve the fastest growing U.S. ethnic minority population, this volume explicitly emphasizes the racial and ethnic diversity within this heterogeneous cultural group. The focus is on the complex historical roots of contemporary Latino/as, their diversity in skin-color and physiognomy, racial identity, ethnic identity, gender differences, immigration patterns, and acculturation. The work highlights how the complexities inherent in the diverse Latino/a experience, as specified throughout the topics covered in this volume, become critical elements of culturally responsive and racially conscious mental health treatment approaches. By addressing the complexities, within-group differences, and racially heterogeneity characteristic of U.S. Latino/as, this volume makes a significant contribution to the literature related to mental health treatments and interventions.

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is the considerable amount of sophisticated computational effort required to illustrate even the simplest concepts. This text provides the reader access to the basic concepts of item response theory freed of the tedious underlying calculations. It is intended for those who possess limited knowledge of educational measurement and psychometrics. Rather than presenting the full scope of item response theory, this textbook is concise and practical and presents basic concepts without becoming enmeshed in underlying mathematical and computational complexities. Clearly written text and succinct R code allow anyone familiar with statistical concepts to explore and apply item response theory in a practical way. In addition to students of educational measurement, this text will be valuable to measurement specialists working in testing programs at any level and who need an understanding of item response theory in order to evaluate its potential in their settings.

Single-Case Methods in Clinical Psychology: A Practical Guide provides a concise and easily-accessible introduction to single-case research. This is a timely response to the increasing awareness of the need to look beyond randomised controlled trials for evidence to support best practice in applied psychology. The book covers the issues of design, the reliability and validity of measurement, and provides guidance on how to analyse single-case data using both visual and statistical methods. Single-case designs can be used to investigate an individual's response to psychological intervention, as well as to contribute to larger scale research projects. This book illuminates the common principles behind these uses. It describes how standardised measures can be used to evaluate change in an individual and how to develop idiographic measures that are tailored to the needs of an individual. The issue of replication and generalising beyond an individual are examined, and the book also includes a section on the meta-analysis of single-case data. The critical evaluation of single-case research is examined, from both the perspective of developing quality standards to evaluate research and maintaining a critical distance in reviewing one's own work. Single Case Methods in Clinical Psychology will provide invaluable guidance to postgraduate psychologists training to enter the professions of clinical, health and counselling psychology and is likely to become a core text on many courses. It will also appeal to clinicians seeking to answer questions about the effectiveness of therapy in individual cases and who wish to use the method to further the evidence-base for specific psychological interventions.

Whereas the diagnosis, explanation, and treatment of physical illness are scientifically sound, this is not true of psychiatric care of mental disorder. Depression, the #1 psychiatric diagnosis, illustrates this failure and it is the subject of Grifting Depression: Psychiatry's Failure as a Medical Science. Psychiatry's current form of medicalization began in 1980 with publication of DSM-III, the diagnostic manual that became the basis for the chemical imbalance theory, psychiatry's explanation for depression, and for reliance on antidepressant drugs to treat depression, "revolutionizing psychiatric care." DSM-III became the model for all the DSM manuals that followed. However, unlike other medical diagnostic manuals, the DSM fails to meet scientific and medical standards of reliability and validity. The chemical imbalance theory is based on research that violates basic tenets of the scientific method. Tests of the theory contradict it. In addition, tests of treatment effectiveness find antidepressant drugs to be no better than placebo. Studies show that the benefit attributed to antidepressant drugs is a placebo effect, but unlike placebos, the chemicals in these drugs are harmful to many. Research strongly supports an alternative theory, a behavioral explanation (psychological rather than biological) for most of the mental disorders listed in the DSM, including most cases of depression. Moreover, although it has not been recognized as the treatment of choice for depression, outcome studies convincingly show behavior therapy is more effective than drug treatment and it is safe. Conflict of interest, not science, is determining psychiatric care.

This book presents a general and comprehensive framework for the assurance of quality in measurements. Written by a foremost expert in the field, the text reflects an on-going international effort to extend traditional quality assured measurement, rooted in fundamental physics and the SI, to include non-physical areas such as person-centred care and the social sciences more generally. Chapter by chapter, the book follows the measurement quality assurance loop, based on Deming's work. The author enhances this quality assurance cycle with insights from recent research, including work on the politics and philosophy of metrology, the new SI, quantitative and qualitative scales and entropy, decision risks and uncertainty when addressing human challenges, Man as a Measurement Instrument, and Psychometry and Person-centred care. Quality Assured Measurement: Unification across Social and Physical Sciences provides students and researchers in physics, chemistry, engineering, medicine and the social sciences with practical guidance on designing, implementing and applying a quality-assured measurement while engaging readers in the most novel and expansive areas of contemporary measurement research.

Why learn functional programming? Isn't that some complicated ivory-tower technique used only in obscure languages like Haskell? In fact, functional programming is actually very simple. It's also very powerful, as Haskell demonstrates by throwing away all the conventional programming tools and using only functional programming features. But it doesn't have to be done that way. Functional programming is a power tool that you can use in addition to all your usual tools, to whatever extent your current mainstream language supports it. Most languages have at least basic support. In this book we use Python and Java and, as a bonus, Scala. If you prefer another language, there will be minor differences in syntax, but the concepts are the same. Give functional programming a try. You may be surprised how much a single power tool can help you in your day-to-day programming.

With a highly pragmatic, yet rigorous and pragmatically driven approach, this edited book explores demonstrates qualitative research with an applied approach. Using not only theory but real world setting, readers are introduced to the function and relevance of qualitative methods in psychological research. Exemplified through the contributions of various experts from across the different sub-disciplines of psychology, this text takes a versatile approach to explaining methods in research and covers a broad range of methods in a variety of settings. This book will appeal to those with an interest in qualitative methods across the spectrum of psychology and beyond. Offering an introduction to applied qualitative research in psychology with a distinctively applied approach, this title is apt for undergraduate psychology students taking modules in research methods, executing research-based projects or those undertaking Masters and taught doctoral level programs in psychology.

In this tribute to Benjamin Wright, former students and colleagues recall the foundational contributions he made to the theory and practice of measurement in a career spanning over five decades. Wright is recognized as the foremost proponent of the psychometric approach of Georg Rasch, a Danish mathematician, whose ideas continue to provoke controversy. Wright's colleagues and students, and students of their students, are leaders in educational research and practice around the world. This volume relates the extent of Wright's influence far beyond education and psychology, where his work in measurement began, into health care and the social sciences at large. The editors and contributors-all leading measurement scholars-trace the development of themes in Wright's work, identifying the roots of today's formative assessment methods, the integration of quantitative and qualitative data, and the contrast between scientific and statistical methods. These previously unpublished papers reflect on Wright's lifelong passion for making measurement both more scientific and more meaningful. They recount how Wright's insight, energy, and gregarious nature led him to produce multiple innovations in computing, estimation methods, model development, fit assessment, and reliability theory, stimulating practical applications in dozens of fields, serving on over 120 dissertation committees, and founding several professional societies. The volume includes three reprinted articles by Wright that provide insights into his early engagement with Rasch's ideas. Psychological and Social Measurement will be welcomed by the broad international measurement community of professionals and researchers working in such diverse fields as education, psychology, health sciences, management, and metrology. Scientists working in any field involving measurement science and technology will appreciate an inside look at this seminal figure and a new perspective on the expanding conversation across the sciences about measurement and the communication of meaningful, transparent information.