FROM PLACEBO TO PANACEA

With the latest generation of psychoactive drugs, has pharmacology at last triumphed over mental illness? A close look at world scientific literature would suggest otherwise. The sobering truth is that many claims about the efficacy of drug therapies for everything from depression to schizophrenia have been exaggerated. What, then, accounts for the inflated confidence clinicians and the lay public alike often have in the new generation of "wonder drugs"? Find out in From Placebo to Panacea.

From Placebo to Panacea is not an indictment of drug therapy. Rather, it is a reasoned analysis of the efficacy of psychoactive drugs as compared to other forms of treatment—backed by hard empirical data. Above all, it is meant to function as a therapist's and patient's guide to making more informed decisions when considering treatment options.

The book begins with an in-depth discussion of salient problems with standard methods of measuring the usefulness of psychoactive drugs. Next is an exploration of a wide range of factors that can bias test results, both technical (e.g., patients participating in double-blind trials can usually tell whether they are receiving an inactive placebo or a psychoactive drug) and psychosocial. Also considered are problems arising from current systems for diagnosing mental disorders, including complications resulting from comorbidity.

Subsequent chapters focus on drug therapies for specific disorders in both adults and children. The authors cover depression and bipolar disorders, schizophrenia, anxiety disorders, borderline personality disorder, attention deficit, and hyperactivity. Each chapter carefully considers the published findings on the disorder under discussion, as well as questions of side effects, suicide, and potential long-term benefits.

A final chapter synthesizes the findings from previous chapters into a comprehensive picture of the current state of psychoactive drug therapy. Throughout, the book provides valuable suggestions for ways of improving and building upon existing knowledge.

Offering an empirically based appraisal of the strengths and limitations of drug-based treatment for psychiatric disorders, From Placebo to Panacea is must reading for psychiatrists, psychologists, and other mental health professionals, as well as psychopharmacologists and drug development researchers and patients.

"The long list of treatment failures, ranging from insulin coma to lobotomy, speaks for itself . . . skepticism should prevail with respect to all evaluations of research, particularly if they involve the welfare of large numbers of persons."—Seymour Fisher and Roger P. Greenberg

Is the new generation of psychoactive "wonder drugs" really as effective as it is purported to be? And, perhaps most significant, in an age of managed care, what are the dangers of uncritical faith in the usefulness of these drugs? From Placebo to Panacea examines these questions. It separates fact from fiction, and injects a note of healthy questioning into the otherwise unreserved chorus of praise for psychotropics. From Placebo to Panacea:

• Examines the clinical research into outcomes of common drug therapies for most major mental disorders in adults and children Offers analyses of the effectiveness of most common psychotropics in both controlled trials and clinical settings
• Explores technical and psychosocial factors that frequently bias test results in favor of drug therapies
• Provides critical, empirically based appraisal of the strengths and limitations of drug-based treatment for psychiatric disorders
• Compares the relative effectiveness of drug therapy versus nondrug therapies and placebos

In this book, Hackett introduces the traditional usage of the mapping sentence within quantitative research, reviews its philosophical underpinnings, and proposes the "declarative mapping sentence" as an instrument and approach to qualitative scholarship. With a helpful glossary and a range of illustrative tables, Hackett takes the reader through a straightforward introduction to mapping sentences and their construction, before discussing declarative mapping sentences and possible future research directions. This innovative direction for social research provides a flexible structure for research domain, and it allows qualitative research results to be uniformly sorted. Declarative Mapping Sentences in Qualitative Research will be essential reading for researchers, academics, and postgraduate students in the fields of qualitative psychology and psychological methods, as well as philosophical psychology and social science research methods.

The emergence of intelligent technologies, sophisticated natural language processing methodologies and huge textual repositories, invites a new approach for the challenge of automatically identifying personality dimensions through the analysis of textual data. This short book aims to (1) introduce the challenge of computational personality analysis, (2) present a unique approach to personality analysis and (3) illustrate this approach through case studies and worked-out examples. This book is of special relevance to psychologists, especially those interested in the new insights offered by new computational and data-intensive tools, and to computational social scientists interested in human personality and language processing.

- Offers a wide range of well developed exercises that can be used across the behavioural and social sciences. - These exercises provide the reader with an opportunity to test and check his/her skills in interpreting statistical results with real scientific data.- Accessible book covering the fundamentals of understanding statistics, and includes a broad range of pedagogy - bolded key terms, glossary, further reading, etc. - Focuses on statistical literacy rather than how to use statistical software. - A very clear and comprehensive explanation of the concept of kurtosis

This volume brings together the latest thinking from experts in a wide range of fields on the evolving relationships between data, methods and theory.

R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.

This book proposes a conceptual-empirical framework for exploring forms of continuity and change along psychosocial pathways in South African universities. It illustrates how the psychosocial pathways are grounded in the symbolic narratives and knowledges of young scientists, engineers and architects - all interlocutors in the research from which this book is based. Alala, Mamoratwa, Welile, Odirile, Kaiya, Amirah, Takalani, Nosakhele, Naila, Ambani, Khanyisile, Itumeleng, Ethwasa and Kgnaya provide collective standpoints in the multiplicities within and between the lived lives and told stories of young Black South African women in Science, Technology, Engineering, and Mathematics (STEM) fields. In doing so, this compelling work advances possibilities for demythologising scientific endeavour as a white male achievement and shifting knowledge communities across gendered, racialised, class and national divides. This book presents an innovative narrative methodology, utilising the myth of the Minotaur to examine the state of the university at the heart of the hierarchical labyrinth in "post"-apartheid South Africa. Throughout the work the author wrestles with and self-reflexively highlights her own positionality as a white, middle-class South African woman to examine how this affects the production of this research in ways which serve to preserve the colonial knowledge system. With the rise of the Rhodes Must Fall and Fees Must Fall student movement in South Africa, demanding for the fall of institutionalised racial hierarchies, the author uses the cover image of narrative formations in the spirit of exploration to think with and through undulating networked forms that could possibly forge new psychosocial pathways towards decolonising and reinventing South African universities. This work offers a unique conceptual and methodological resource for students and scholars of psychosocial and narrative theory, as well as those who are concerned about the politics of higher education, both in South Africa and in other contexts around the world.

Offering rhetorically informed strategic interventions, this innovative collection moves beyond critiques of mental health issues, problems, and care. With sections that focus on methodological, cultural and legal, and pedagogical interventions, readers will find an engaging discussion of a discrete mental health phenomenon as well as a clear interventional takeaway in each chapter. Contributors make use of critical discourse analyses, ethnographic inquiries, autoethnographic inquiries, case studies, and textual analyses to engage such mental health research topics as postpartum depression among Chinese mothers; insanity pleas; anosognosia; issues of intimacy, access, and embodiment in research projects; community support groups; Black mental health; women in Alcoholics Anonymous; and mental health in faculty workshops and university online health tools. The authors and editors create scholarship on mental health that explicitly builds productive methodological, theoretical, and practical bridges among scholars and teachers in the various specialties of writing and communication. This collection will interest scholars, students, and practitioners in health and medical humanities; rhetoric of health and medicine; health communication; medical anthropology; scientific and technical communication; disability studies; and rhetorical studies generally.

Offering rhetorically informed strategic interventions, this innovative collection moves beyond critiques of mental health issues, problems, and care. With sections that focus on methodological, cultural and legal, and pedagogical interventions, readers will find an engaging discussion of a discrete mental health phenomenon as well as a clear interventional takeaway in each chapter. Contributors make use of critical discourse analyses, ethnographic inquiries, autoethnographic inquiries, case studies, and textual analyses to engage such mental health research topics as postpartum depression among Chinese mothers; insanity pleas; anosognosia; issues of intimacy, access, and embodiment in research projects; community support groups; Black mental health; women in Alcoholics Anonymous; and mental health in faculty workshops and university online health tools. The authors and editors create scholarship on mental health that explicitly builds productive methodological, theoretical, and practical bridges among scholars and teachers in the various specialties of writing and communication. This collection will interest scholars, students, and practitioners in health and medical humanities; rhetoric of health and medicine; health communication; medical anthropology; scientific and technical communication; disability studies; and rhetorical studies generally.

Research findings and dissemination are making healthcare more effective. Electronic health records systems and advanced tools are making care delivery more efficient. Legislative reforms are striving to make care more affordable. Efforts still need to be focused on making healthcare more accessible. Clinical Videoconferencing in Telehealth takes a comprehensive and vital step forward in providing mental health and primary care services for those who cannot make traditional office visits, live in remote areas, have transportation or mobility issues or have competing demands. Practical, evidence-based information is presented in a step by step format at two levels: for administrators, including information regarding selecting the right videoconferencing technology, navigating regulatory issues, policy temples, boilerplate language for entering into care agreements with other entities and practical solutions to multisite programming; and for clinicians, including protocols for safe, therapeutically sound practice, informed consent and tips for overcoming common technical barriers to communication in clinical videoconferencing contexts. Checklists, tables, templates, links, vignettes and other tools help to equip professional readers for providing safe services that are streamlined and relevant while avoiding guesswork, false starts and waste. The book takes a friendly-mentor approach to communication in areas such as: Logistics for administrators: Clinical videoconferencing infrastructures and technologies Policy development, procedures and tools for responsible and compliant programming Navigating issues related to providing services in multiple locations Protocols for clinicians: The informed consent process in clinical videoconferencing Clinical assessment and safety planning for remote services Minimizing communication disruption and optimizing the therapeutic alliance Clinical Videoconferencing in Telehealth aptly demonstrates the promise and potential of this technology for clinicians, clinic managers, administrators and others affiliated with mental health clinical practices. It is designed to be the comprehensive "one-stop" tool for clinical videoconferencing service development for programs and individual clinicians.

Phenomenological Psychology provides a comprehensive, accessible and practical introduction to phenomenological theory, research and methods. Detailed and extensive examples of real research are included throughout to encourage an applied and critical understanding. The book moves from descriptive through to more interpretative phenomenological methods to enable the reader to learn to use the main approaches to phenomenological psychology, and to understand the similarities and differences between the different approaches.

This volume establishes the conceptual foundation for sustained investigation into tool development in neuroscience. Neuroscience relies on diverse and sophisticated experimental tools, and its ultimate explanatory target-our brains and hence the organ driving our behaviors-catapults the investigation of these research tools into a philosophical spotlight. The chapters in this volume integrate the currently scattered work on tool development in neuroscience into the broader philosophy of science community. They also present an accessible compendium for neuroscientists interested in the broader theoretical dimensions of their experimental practices. The chapters are divided into five thematic sections. Section 1 discusses the development of revolutionary research tools across neuroscience's history and argues to various conclusions concerning the relationship between new research tools and theory progress in neuroscience. Section 2 shows how a focus on research tools and their development in neuroscience transforms some traditional epistemological issues and questions about knowledge production in philosophy of science. Section 3 speaks to the most general questions about the way we characterize the nature of the portion of the world that this science addresses. Section 4 discusses hybrid research tools that integrate laboratory and computational methods in exciting new ways. Finally, Section 5 extends research on tool development to the related science of genetics. The Tools of Neuroscience Experiment will be of interest to philosophers and philosophically minded scientists working at the intersection of philosophy and neuroscience.

Body Image in Eating Disorders explores issues relating to the prevention, clinical diagnosis, and psychological treatment of distortions of body image in eating disorders. It presents a multifactorial model of indicators for diagnosis and treatment, considering psychological, sociocultural, and family indicators. Based on original empirical research with women and girls suffering from eating disorders, the book draws attention to limitations and dilemmas related to psychological diagnosis and treatment of people with eating disorders including anorexia readiness syndrome, bulimia, and bigorexia. The book proposes an integrative psychodynamic approach to the diagnosis and treatment of body image disorders and presents case studies illustrating examples of application of integration of psychodynamic therapy and psychodrama in psychological treatment of young people suffering from eating disorders. It considers risk factors including abnormal body image for the development of eating disorders and argues that psychological diagnosis of the body image is an important factor in determining the right direction of psychological treatment for people with eating disorders. Drawing on theoretical foundations and evidence-based clinical practice, the book will be of great interest to researchers, academics, and students in the fields of clinical and applied psychology, mental health, and specialists in eating disorders. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

This volume is a compilation of articles that shed light on psychopathology, how the one struggling with it experiences its implications, and how it affects everyday life. For one to be categorized as exhibiting positive mental health, an individual should not experience psychopathology, and additionally exhibit high levels of emotional well-being as well as high levels of psychological and social functioning. The dual-factor model of mental health suggests that enhancing positive mental health and alleviating psychopathology do not automatically go together and are not opposite of one another. There is accumulating evidence that psychopathology and positive mental health function along two different continua that are only moderately interrelated. However, to know what wellbeing is, understand good mental health, and enhance adaptive functioning, we need to explore and understand psychopathology, and how it affects us. The volume is divided into three conceptual sections: The Experience of Psychopathology, which is devoted to describing what it is and how it is experienced; The Effect of Psychopathology on Everyday Life, describes various effects that psychopathology has on the daily life of the sufferer; Coherence, Resilience and Recovery, which focuses on dealing with it, coping with the symptoms, and developing resilience. The chapters in this book were originally published in The Journal of Psychology.

* It offers an original answer to this question: evaluation spreads because we want to be evaluated. * Developing a critical reflection from a psychoanalytic perspective, it argues that workers are not mere victims of evaluation systems but are complicit in them. * Benedicte Vidaillet focuses on the aspects of our subjectivity that come into play in evaluation at work -our expectations, desires, need for recognition, our conceptions of ourselves at work, as well as our relationship with others such as colleagues, managers or clients - to explore how evaluation affects us, where it gets its evocative power, and what it stirs within us to make us want it, despite its detrimental effects in its currently practiced form. * Chapters draw on real-life examples, case studies from a variety of organizations, and observations from clinical practice, to provide insight into the many mechanisms that have enabled evaluation to spread unimpeded through our subjective complicity in the process, revealing how they came to seem so innocuous. * This book will be of interest to scholars studying the topic of evaluation at work from a critical perspective as well as professionals who use evaluation systems or are under the pressure of evaluation in all sectors and organizations. * By exposing the psychological mechanisms that evaluation uses to appeal to us, it gives each of us the tools we need to break free of its grasp.

This edited book presents international perspectives on the role of mental health problems in understanding and managing the risk of violent extremism. The chapters included in this book address two themes. First, they describe the research findings on the nature and prevalence of the range of mental health problems (psychosis, personality disorder, post-traumatic stress disorder, anxiety and depression, autism spectrum disorders) in young people and adults who have in the past, committed acts of violence motivated at least in part by extremist ideologies, or who have attempted or threatened such acts, or who for other reasons are thought to be at risk of doing so. Second, the chapters examine what is known about the relationship - or the functional link - between mental health problems and violent extremism. The focus of this book is on clinical practice and understanding the nature of the challenge faced by practitioners and their response to it. It will therefore be of interest to mental health practitioners, service managers and commissioners, and policy makers with a remit to understand and mitigate risk of radicalisation and violent extremism. The chapters in this book were originally published in The Journal of Forensic Psychiatry & Psychology.

* The first book of its kind to offer a training framework for neuropsychologists who use psychometrists in their practice * An essential resource for psychologists/neuropsychologists who employ technicians and those involved in training graduate students who are just learning to administer cognitive tests. * Includes guidance on methods to prepare the psychometrist for testing with unique populations and responding to atypical behaviors * Includes coverage on promoting board certification of your psychometrist, and the process and procedures required to be successful

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.

"A book perfect for this moment" -Katherine M. O'Regan, Former Assistant Secretary, US Department of Housing and Urban Development More than fifty years after the passage of the Fair Housing Act, American cities remain divided along the very same lines that this landmark legislation explicitly outlawed. Keeping Races in Their Places tells the story of these lines-who drew them, why they drew them, where they drew them, and how they continue to circumscribe residents' opportunities to this very day. Weaving together sophisticated statistical analyses of more than a century's worth of data with an engaging, accessible narrative that brings the numbers to life, Keeping Races in Their Places exposes the entrenched effects of redlining on American communities. This one-of-a-kind contribution to the real estate and urban economics literature applies the author's original geographic information systems analyses to historical maps to reveal redlining's causal role in shaping today's cities. Spanning the era from the Great Migration to the Great Recession, Keeping Races in Their Places uncovers the roots of the Black-white wealth gap, the subprime lending crisis, and today's lack of affordable housing in maps created by banks nearly a century ago. Most of all, it offers hope that with the latest scholarly tools we can pinpoint how things went wrong-and what we must do to make them right.

Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain. No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.

It is universally accepted that sensitive and responsive caregiving leads to positive cognitive and socio-emotional outcomes for children. While several intervention approaches exist, this text brings together the rationale and current evidence base for one such approach-the Mediational Intervention for Sensitizing Caregivers (MISC). MISC integrates aspects of socio-emotional health and cognitive development as well as being less culturally intrusive than existing approaches. It is a strengths-based program complementing existing practices and cultures. Editors bring together in one volume the theory and research from the last decade supporting the MISC approach. Chapters focus on a range of topics, such as training the trainer, maternal depression and MISC, applying MISC to families reunited after migration-related separation and more. The book also focuses on several country-specific cases, such as applying MISC to HIV/AIDS-affected children in South Africa or in early childhood care settings in Israel. This book is essential reading for those working in early educational or clinical settings tasked with developing policy to ensure optimal child developmental outcomes. The book is applicable to professionals from a wide variety of disciplines including clinical, counselling, educational, psychology, psychiatry, paediatrics, nursing, social work and public health.

- The first practical introduction to second-order and growth mixture models using Mplus 8.4 -Introduces simple and complex models through incremental steps with increasing complexity -Each model is presented with figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results, to maximize understanding. - Second-order and growth mixture modeling is increasingly being used in various disciplines to analyze changes in individual attributes such as personal behaviors and relationships over time

- The first practical introduction to second-order and growth mixture models using Mplus 8.4 -Introduces simple and complex models through incremental steps with increasing complexity -Each model is presented with figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results, to maximize understanding. - Second-order and growth mixture modeling is increasingly being used in various disciplines to analyze changes in individual attributes such as personal behaviors and relationships over time

Contains information for using R software with the examples in the textbook Sampling: Design and Analysis, 3rd edition by Sharon L. Lohr.

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so, multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile, popular, and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community. Accessible to a broad audience, this book explains statistical concepts of missing data problems and the associated terminology. It focuses on how to address missing data problems using multiple imputation. It describes the basic theory behind multiple imputation and many commonly-used models and methods. These ideas are illustrated by examples from a wide variety of missing data problems. Real data from studies with different designs and features (e.g., cross-sectional data, longitudinal data, complex surveys, survival data, studies subject to measurement error, etc.) are used to demonstrate the methods. In order for readers not only to know how to use the methods, but understand why multiple imputation works and how to choose appropriate methods, simulation studies are used to assess the performance of the multiple imputation methods. Example datasets and sample programming code are either included in the book or available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book). Key Features Provides an overview of statistical concepts that are useful for better understanding missing data problems and multiple imputation analysis Provides a detailed discussion on multiple imputation models and methods targeted to different types of missing data problems (e.g., univariate and multivariate missing data problems, missing data in survival analysis, longitudinal data, complex surveys, etc.) Explores measurement error problems with multiple imputation Discusses analysis strategies for multiple imputation diagnostics Discusses data production issues when the goal of multiple imputation is to release datasets for public use, as done by organizations that process and manage large-scale surveys with nonresponse problems For some examples, illustrative datasets and sample programming code from popular statistical packages (e.g., SAS, R, WinBUGS) are included in the book. For others, they are available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book)