Research on the self relates to various phenomena including self-esteem, self-concept, self-verification, self-awareness, identity, self-efficacy, passion, self-determination, and goals. Moreover, research on self is multidisciplinary and of interest to a broad range of areas, such as education, economics, (social) psychology, neuro sciences, motivation, physical activity and behavior sciences, philosophy, and learning sciences. Chapters in this volume will illustrate some of the best of the research within these disciplines examining different aspects of self from various perspectives. A feature of this volume is that we will explore not only positive aspects of high perceived levels of self-determination and competence or self-concept on achievement, motivation and wellbeing, but also the dark side of an uncertain and negative self on identity and wellbeing. We learn from this that the self is a dynamic and powerful, yet fragile and highly amenable construct that needs self-care and constant reassurance. SELF - A Multidisciplinary Concept thus highlights the broad application of self-research and its diversity. This volume is intended to develop both theoretical and methodological ideas and to present empirical evidence of various disciplines and applications dealing with self. The scope of this seventh volume of the International Advances in Self Research series, started in 2000 by Herbert W. Marsh, Dennis M. McInerney, and Rhonda G. Craven, is thus very broad. Keeping within the tradition of the series, this volume will highlight the applicability of a multitude of empirical approaches and methods to self-research. We also aimed to maintain a balance between discussing theoretical research in SELF and deriving implications for effective practice. This volume thus includes chapters covering self-related topics within an educational, social, emotional, psychological, physiological, managerial, and health context.

The General Factor of Personality improves our understanding of the personality structure and the relations between major personality dimensions, as well as major dimensions of the entire non-cognitive sphere of psychological variables. The results of the empirical testing and theoretical evaluations in this book contribute to the more comprehensive and precise theoretical framework of the General Factor of Personality (GFP) and that of the entire personality structure. Additionally, the book answers some unresolved questions concerning the nature of the GFP, including whether it is based more on correlations in real behavior or on other less substantial factors between lower-order dimensions of personality. This book is crucially important not only for theoretical reasons, but also for the tremendous practical and applied value of the assumed general dimension of personality. As a common denominator of all the most important fields of personality beyond cognition (Big Five, well-being, coping, emotionality, motivation, self-concept, self-esteem, control, wisdom and others), the GFP represents an extremely strong single predictor of the quality of life, mental health and well-being, career, academic success, and the quality of family and interpersonal relations.

Doing Statistical Analysis looks at three kinds of statistical research questions - descriptive, associational, and inferential - and shows students how to conduct statistical analyses and interpret the results. Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, COVID-19, and tourism, to aid understanding. Each chapter contains practice exercises, and a section showing students how to reproduce the statistical results in the book using Stata and SPSS. Digital supplements consist of data sets in Stata, SPSS, and Excel, and a test bank for instructors. Its accessible approach means this is the ideal textbook for undergraduate students across the social and behavioral sciences needing to build their confidence with statistical analysis.

With recent advances in computing power and the widespread availability of preference, perception and choice data, such as public opinion surveys and legislative voting, the empirical estimation of spatial models using scaling and ideal point estimation methods has never been more accessible.The second edition of Analyzing Spatial Models of Choice and Judgment demonstrates how to estimate and interpret spatial models with a variety of methods using the open-source programming language R. Requiring only basic knowledge of R, the book enables social science researchers to apply the methods to their own data. Also suitable for experienced methodologists, it presents the latest methods for modeling the distances between points. The authors explain the basic theory behind empirical spatial models, then illustrate the estimation technique behind implementing each method, exploring the advantages and limitations while providing visualizations to understand the results. This second edition updates and expands the methods and software discussed in the first edition, including new coverage of methods for ordinal data and anchoring vignettes in surveys, as well as an entire chapter dedicated to Bayesian methods. The second edition is made easier to use by the inclusion of an R package, which provides all data and functions used in the book. David A. Armstrong II is Canada Research Chair in Political Methodology and Associate Professor of Political Science at Western University. His research interests include measurement, Democracy and state repressive action. Ryan Bakker is Reader in Comparative Politics at the University of Essex. His research interests include applied Bayesian modeling, measurement, Western European politics, and EU politics. Royce Carroll is Professor in Comparative Politics at the University of Essex. His research focuses on measurement of ideology and the comparative politics of legislatures and political parties. Christopher Hare is Assistant Professor in Political Science at the University of California, Davis. His research focuses on ideology and voting behavior in US politics, political polarization, and measurement. Keith T. Poole is Philip H. Alston Jr. Distinguished Professor of Political Science at the University of Georgia. His research interests include methodology, US political-economic history, economic growth and entrepreneurship. Howard Rosenthal is Professor of Politics at NYU and Roger Williams Straus Professor of Social Sciences, Emeritus, at Princeton. Rosenthal's research focuses on political economy, American politics and methodology.

This book describes methods to prevent avoidable errors and to correct unavoidable ones within the behavioral sciences. A distinguishing feature of this work is that it is accessible to students and researchers of substantive fields of the behavioral sciences and related fields (e.g., health sciences and social sciences). Discussed are methods for errors that come from human and other factors, and methods for errors within each of the aspects of empirical studies. This book focuses on how empirical research is threatened by different types of error, and how the behavioral sciences in particular are vulnerable due to the study of human behavior and human participation in studies. Methods to counteract errors are discussed in depth including how they can be applied in all aspects of empirical studies: sampling of participants, design and implementation of the study, instrumentation and operationalization of theoretical variables, analysis of the data, and reporting of the study results. Students and researchers of methodology, psychology, education, and statistics will find this book to be particularly valuable. Methodologists can use the book to advice clients on methodological issues of substantive research.

Everyday Applications of Psychological Science explores several core areas of psychology, showing readers how to apply these principles to everyday situations in order to better their understanding of human behavior and improve their quality of life. The authors of this book, who are award-winning educators of psychology, have culled and collated the best practical research-based advice that psychological science can offer in an easy-to-read and digestible format. Lively and peppered with anecdotes, this book explores topical areas normally found in introductory psychology books but do so in a way that makes psychological science practical, accessible, and relevant to our readers. In Everyday Applications of Psychological Science, the best science that psychology has to offer is translated into life hacks that are applicable to improving readers' physical health, mental health, psychological wealth, relationships, and happiness. Everyday Applications of Psychological Science is vital reading for those interested in learning more about the field of psychology more generally and how aspects of it can be applied to daily life. Our approach may be of particular interest to current and prospective undergraduate students of psychology and those interested in learning more about mental health issues.

Everyday Applications of Psychological Science explores several core areas of psychology, showing readers how to apply these principles to everyday situations in order to better their understanding of human behavior and improve their quality of life. The authors of this book, who are award-winning educators of psychology, have culled and collated the best practical research-based advice that psychological science can offer in an easy-to-read and digestible format. Lively and peppered with anecdotes, this book explores topical areas normally found in introductory psychology books but do so in a way that makes psychological science practical, accessible, and relevant to our readers. In Everyday Applications of Psychological Science, the best science that psychology has to offer is translated into life hacks that are applicable to improving readers' physical health, mental health, psychological wealth, relationships, and happiness. Everyday Applications of Psychological Science is vital reading for those interested in learning more about the field of psychology more generally and how aspects of it can be applied to daily life. Our approach may be of particular interest to current and prospective undergraduate students of psychology and those interested in learning more about mental health issues.

Includes Social Media Analytics Case Studies Reviews Social Media Analytics Applications Reviews Trends of Innovation in Social Media Analytics Describes Skills in Social Media Analytics Includes Real-world examples

This book offers original knowledge, debate, and understanding from frontline fieldwork data and the relations between mental health difficulties, mental healthcare provision, and social theory. Dominant discourse of the last half century has followed a medical perspective. This has marginalised contributions from social science. Furthermore purely medical approaches to mental healthcare have profound shortcomings. Thus, this book draws upon innovative research findings to rejuvenate the relationship between psychiatry and social science. It frames this by reference to certain inevitable and uncertain elements of mental health which characterise this field. Over nine chapters the volume is a unique contribution to several intersecting areas of intellectual enterprise, research, and learning - as well as a source of insight into how mental health practice and policy might be modified and improved. As a result, it appeals to a wide range of audiences including social scientists, mental health practitioners, mental health researchers, social theorists, mental health service users, and policy-makers.

* Reference point on statistical practice in developing countries for researchers, scholars, students and practitioners. * Comprehensive source of state-of-the-art knowledge on creating statistical collaboration laboratories within the field of data science and statistics. * Collection of innovative statistical teaching and learning techniques in developing countries

This book offers first-person accounts of the experience of psychosis from the inside and the outside, through the eyes of two doctors, one of whom has experienced psychosis and both of whom have worked for decades in the field of psychiatry. Underpinned by rigorous academic analysis using an evocative duo-ethnographic approach, the book explores the cultural and subcultural influences from childhood onwards - both traumatic and resilience-building - that have shaped their lives. Both authors reflect on strategies they learned early in life for dealing with challenges, each managing to function at a high level while avoiding awareness of their vulnerability. They reflect on the potential dangers of using their expertise and position of power in psychiatry simply to diagnose mental illness and prescribe medication. The differences and similarities in the authors' stories provide a productive tension highlighting the complexities of this paradigm shift that is happening in psychiatry. Written in the form of two interacting memoirs, this book is of great interest to researchers, clinicians, and practicing psychologists, as well as a general audience with interest in psychosis.

The Talk Therapy Revolution: Neuroscience, Phenomenology and Mental Health, uses phenomenology and neuroscience to describe experiential counseling themes such as intuition, attunement, emotional regulation, insight, empathy, momentum and others. Peter Ladd explores these experiential counseling practices in direct comparison with a medical model of talk therapy and examines the pros and cons of both models. Ladd presents an orderly and efficient integration of these two models that accounts for the reciprocal relationship between human experience and neuroscience in which interpersonal relationships have a direct impact on the brain and the brain has a direct impact on human experience.

A Beginner's Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition. All of the chapters that introduce models in SEM have been expanded to include easy-to-follow, step-by-step guidelines that readers can use when conducting their own SEM analyses. These chapters also include examples of tables to include in results sections that readers may use as templates when writing up the findings from their SEM analyses. The models that are illustrated in the text will allow SEM beginners to conduct, interpret, and write up analyses for observed variable path models to full structural models, up to testing higher order models as well as multiple group modeling techniques. Updated information about methodological research in relevant areas will help students and researchers be more informed readers of SEM research. The checklist of SEM considerations when conducting and reporting SEM analyses is a collective set of requirements that will help improve the rigor of SEM analyses. This book is intended for true beginners in SEM and is designed for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences. This book also appeals to researchers and faculty in various disciplines. Prerequisites include correlation and regression methods.

A Beginner's Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition. All of the chapters that introduce models in SEM have been expanded to include easy-to-follow, step-by-step guidelines that readers can use when conducting their own SEM analyses. These chapters also include examples of tables to include in results sections that readers may use as templates when writing up the findings from their SEM analyses. The models that are illustrated in the text will allow SEM beginners to conduct, interpret, and write up analyses for observed variable path models to full structural models, up to testing higher order models as well as multiple group modeling techniques. Updated information about methodological research in relevant areas will help students and researchers be more informed readers of SEM research. The checklist of SEM considerations when conducting and reporting SEM analyses is a collective set of requirements that will help improve the rigor of SEM analyses. This book is intended for true beginners in SEM and is designed for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences. This book also appeals to researchers and faculty in various disciplines. Prerequisites include correlation and regression methods.

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.

This book describes a way of sharing dreams in a group, called 'social dreaming'. It explores how the sharing of real, night time dreams, in a group, can offer information on and insight into ourselves and the worlds we live in and share. It investigates how we can turn dream images, and ideas and feelings that arise from these images, into conscious thought, before describing the ways in which these can be used. Using a background of the psychosocial combined with a philosophical lens influenced by the work of Gilles Deleuze, Julian Manley shows how social dreaming can be understood as a Deleuzian 'rhizome of affects', a web or a root design where things interconnect in a random and spontaneous fashion rather than in a sequential or linear way. He illustrates how social dreaming can link dreams together into a collage of images, and compares this to the rhizome, where clusters of emotional intensity - which emerge from the dream images - weave and interconnect with other clusters, forming a web of interlinked dream images and emotions. From the basis of this rhizome emerges an interpretation of social dreaming as a 'body without organs' and the social dreaming matrix as a 'smooth space' where meanings emerge from the way these images form connections, and come and go according to our emotions at any particular moment.

utilizes the Consolidated Serial Homicide Offender Database, one of the largest and most robust open access databases of multiple murders available illustrated with in-depth case studies of SHOs, such as Felix Vail, Michael Sumpter, the Seminole Heights Killer, and the Austin Bomber provides commentary from those who have used these patterning methods in practice, in addition to laying out how to put the current suite of data tools to use within organizations

Psychological Statistics: The Basics walks the reader through the core logic of statistical inference and provides a solid grounding in the techniques necessary to understand modern statistical methods in the psychological and behavioral sciences. This book is designed to be a readable account of the role of statistics in the psychological sciences. Rather than providing a comprehensive reference for statistical methods, Psychological Statistics: The Basics gives the reader an introduction to the core procedures of estimation and model comparison, both of which form the cornerstone of statistical inference in psychology and related fields. Instead of relying on statistical recipes, the book gives the reader the big picture and provides a seamless transition to more advanced methods, including Bayesian model comparison. Psychological Statistics: The Basics not only serves as an excellent primer for beginners but it is also the perfect refresher for graduate students, early career psychologists, or anyone else interested in seeing the big picture of statistical inference. Concise and conversational, its highly readable tone will engage any reader who wants to learn the basics of psychological statistics.

Individuals with serious and persistent mental illnesses, including schizophrenia and affective disorders, often experience cognitive deficits that make it challenging to perform everyday tasks. For example, they may have difficulty paying attention, remembering and learning, thinking quickly, and solving problems, and this may interfere with functioning at work, school, and in social and living situations. Cognitive remediation is an evidence-based behavioral treatment for people who are experiencing cognitive impairments that interfere with role functioning. Cognitive Remediation for Psychological Disorders contains all the information therapists need to set up a cognitive remediation program that helps clients strengthen the cognitive skills necessary for everyday functioning. The program described is called Neuropsychological and Educational Approach to Remediation (NEAR), an evidence-based approach that utilizes carefully crafted instructional techniques which promote learning. The goals of NEAR are to provide a positive learning experience and to promote independent learning and optimal cognitive functioning in daily life. The second edition of this popular Therapist Guide provides step-by-step instructions on how to implement NEAR techniques with patients. Guidelines for setting up and running a successful cognitive remediation program are laid out in an easy-to-follow format. Therapists will learn how to choose appropriate cognitive exercises, recruit and work with clients, perform intakes, and create treatment plans. This Guide comes complete with all the tools necessary for facilitating treatment, including program evaluation forms and client handouts.

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

- 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

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.

This book explores how music can improve skills that are impaired in some neurodevelopmental disorders, including ADHD (attention deficit hyperactivity disorder), autism, and Rett syndrome. Rehabilitation interventions based on the use of music, termed "music therapy", are relatively widespread, but not all are supported by empirical evidence. This book offers readers an updated and scientifically grounded perspective on this theory and argues that music can be effective in promoting the acquisition of some basic mental abilities. Chapters present some of the latest research and data on how musical activities can lead children affected by neurodevelopmental disorders to improve those skills, including examples of training programs and exercises. The book will be a valuable resource for therapists, rehabilitators, psychologists, educators, musicians, researchers, as well as anyone interested in exploring the potential in music for human growth.