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.

This third edition of Introduction to Research Methods and Data Analysis in Psychology provides you with a unique, balanced blend of quantitative and qualitative research methods. Highly practical in nature, the book guides you, step-by-step, through the research process and is underpinned by SPSS screenshots, diagrams and examples throughout.

In this innovative book on autism and gaze from a multimodal interaction perspective, Terhi Korkiakangas examines the role of gaze in everyday situations, asking why eye contact matters, and considering the implications of this crucial question for autism. Since persons on the autism spectrum tend to use it differently and might not engage in eye contact in social situations, gaze is a crucial topic for understanding autism, yet we know surprisingly little about this topic in a real-world context, beyond psychological experiments and the research lab. Drawing on her research on authentic video-recorded social interactions, Korkiakangas shows how a multimodal interaction perspective can shed new light on gaze: what an instance of gaze does, and when, why, and for whom gaze 'matters', from both children on the autism spectrum and their social partners' perspective, including teachers and parents. Grounded in the interactional tradition of conversation analysis, the multimodal interaction perspective offers a major contribution to our understanding of autism by examining communication beyond talk and linguistic resources. Communication, Gaze and Autism considers both mutual gaze and gaze aversion during talk or silence, alongside facial expressions, gestures, and other body movements, to understand what gaze is used for, and to rethink 'eye contact'. The book includes a methodological introduction, practical tools for doing multimodal interaction research, and empirical findings. It also considers the voices of those people on the autism spectrum from the blogosphere, who suggest that eye contact has less significance for them and represents a communication difference, rather than a deficit. This book is designed for anyone with an academic, professional or personal interest in autism. It will particularly appeal to senior undergraduate and graduate students, researchers and practitioners in the fields of communication, social interaction and autism.

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.

People often try to figure out why they acted the way they did or why others close to them acted in a certain way. The thoughts we have about why things happened are known as attributions. People have these thoughts about communication behavior, and they communicate the thoughts that they have. This book brings together scholars from a variety of disciplines whose work focuses on the interplay of attribution processes and communication behavior in close relationships.

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)

"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.

"...how a man rallies to life's challenges and weathers its storms tells everything of who he is and all that he is likely to become." —St. Augustine

It has long been understood that how a person adjusts to life stresses is a major component of his or her ability to lead a fulfilling life. Yet it wasn't until the 1960s that coping became a discrete topic of psychological inquiry. Since then, coping has risen to a position of prominence in the modern psychological discourse—especially within the personality, cognitive, and behavioral spheres—and, within the past decade alone, many important discoveries have been made about its mechanisms and functioning, and its role in ongoing psychological and physical health and well-being.

A book whose time has come at last, the Handbook of Coping is the first professional reference devoted exclusively to the psychology of coping. Reporting the observations and insights of nearly sixty leading authorities in stress and coping from a wide range of affiliations and schools of thought, it brings readers the state of the art in coping theory, research, assessment, and applications. In orchestrating the book, the editors have scrupulously avoided imposing any particular slant or point of view, other than the need to foster greater eclecticism and cooperation between researchers and clinicians concerned with the phenomenon of coping.

The Handbook of Coping is divided into five overlapping parts, the first of which serves to lay the conceptual foundations of all that follows. It traces the history of coping from its origins in psychoanalytic theories of unconscious defense mechanisms, and provides an exhaustive review of the latest conceptualizations, models, and constructs. The following section provides an in-depth exploration of current research methodology, measurement, and assessment tools. Part Three explores key facets of coping in a broad range of specific domains, including everyday hassles, chronic disease, cataclysmic events, and many others. The penultimate section focuses on individual differences. Among important topics covered here are coping styles and dispositions; the role of family, social support, and education; and coping behaviors across the life span. The final section, Part Five, is devoted to current applications. Clinical parameters are defined and a number of specific interventions are described, as are proven techniques for helping clients to improve their coping skills.

A comprehensive guide to contemporary coping theory, research, and applications, the Handbook of Coping is an indispensable resource for practitioners, researchers, students, and educators in psychology, the health sciences, and epidemiology.

Of related interest ...

EGO DEFENSES: Theory and Measurement —Edited by Hope R. Conte and Robert Plutchik

This book explores the nature and manifestations of defense mechanisms and traces ego defense theory and research from Freud's initial conceptualization through recent work in object-relations theory and other psychoanalytically oriented approaches. It provides clinical guidelines for diagnosing, assessing, and dealing with defenses, reviews empirical research techniques, and indicates their value in development and in psychotherapy. This volume should be of value to theoreticians, clinicians, and researchers interested in finding appropriate tools for measurement of defense mechanisms. 1994

SOCIAL SUPPORT: An Interactional View —Edited by Barbara R. Sarason, Irwin G. Sarason, and Gregory R. Pierce

The study of social support and its relationship to personality, health, and adjustment is one of the fastest growing areas of research and application in psychology. This book contains integrative surveys of clinical and field studies, experimental investigations, and life-span explorations. It approaches social support as an important facet of interpersonal relationships and shows its undesirable, as well as its positive, features. 1990 (0-471-60624-3) 528 pp.

Requires minimal prerequisites Explained in basic terms Illustrated with binary datasets and real life examples Covers primary concepts and methods Accessible to undergraduates Suitable for a heterogeneous audience

With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and event history analysis using real-life examples. Since publication of the first edition, focus in the field has gradually shifted towards the analysis of large and complex datasets. This has led to new ways of tabulating and analysing tabulated data with the same precision and power as that of an analysis of the full data set. Tabulation also makes it possible to share sensitive data with others without violating integrity. The new edition extends on the content of the first by both improving on already given methods and introducing new methods. There are two new chapters, Explanatory Variables and Regression, and Register- Based Survival Data Models. The book has been restructured to improve the flow, and there are significant updates to the computing in the supporting R package. Features * Introduction to survival and event history analysis and how to solve problems with incomplete data using Cox regression. * Parametric proportional hazards models, including the Weibull, Exponential, Extreme Value, and Gompertz distributions. * Parametric accelerated failure time models with the Lognormal, Loglogistic, Gompertz, Exponential, Extreme Value, and Weibull distributions. * Proportional hazards models for occurrence/exposure data, useful with tabular and register based data, often with a huge amount of observed events. * Special treatments of external communal covariates, selections from the Lexis diagram, and creating period as well as cohort statistics. * "Weird bootstrap" sampling suitable for Cox regression with small to medium-sized data sets. * Supported by an R package (https://CRAN.R-project.org/package=eha), including code and data for most examples in the book. * A dedicated home page for the book at http://ehar.se/r/ehar2 This substantial update to this popular book remains an excellent resource for researchers and practitioners of applied event history analysis and survival analysis. It can be used as a text for a course for graduate students or for self-study.

Many technological, socio-economic, environmental, biomedical phenomena exhibit an underlying graph structure. Valued graph allows one to incorporate the connections or links among the population units in addition. The links may provide effectively access to the part of population that is the primary target, which is the case for many unconventional sampling methods, such as indirect, network, line-intercept or adaptive cluster sampling. Or, one may be interested in the structure of the connections, in terms of the corresponding graph properties or parameters, such as when various breadth- or depth-first non-exhaustive search algorithms are applied to obtain compressed views of large often dynamic graphs. Graph sampling provides a statistical approach to study real graphs from either of these perspectives. It is based on exploring the variation over all possible sample graphs (or subgraphs) which can be taken from the given population graph, by means of the relevant known sampling probabilities. The resulting design-based inference is valid whatever the unknown properties of the given real graphs. One-of-a-kind treatise of multidisciplinary topics relevant to statistics, mathematics and data science. Probabilistic treatment of breadth-first and depth-first non-exhaustive search algorithms in graphs. Presenting cutting-edge theory and methods based on latest research. Pathfinding for future research on sampling from real graphs. Graph Sampling can primarily be used as a resource for researchers working with sampling or graph problems, and as the basis of an advanced course for post-graduate students in statistics, mathematics and data science.

The Self at Work brings researchers in industrial and organizational psychology and organizational behavior together with researchers in social and personality psychology to explore how the self impacts the workplace. Covering topics such as self-efficacy, self-esteem, self-control, power, and identification, each chapter examines how research on the self informs and furthers understanding of organizational topics such as employee engagement, feedback-seeking, and leadership. With their combined expertise, the chapter authors consider how research on the self has influenced management research and practice (and vice-versa), limitations of applying social psychology research in the organizational realm, and future directions for organizational research on the self. This book is a valuable resource for researchers, graduate students, and professionals who are interested in how research on the self can inform industrial/organizational psychology.