First published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.

* Starts from the basics, focusing less on proofs and the high-level math underlying regressions, and adopts an engaging tone to provide a text which is entirely accessible to students who don't have a stats background * New chapter on integrity and ethics in regression analysis * Each chapter offers boxed examples, stories, exercises and clear summaries, all of which are designed to support student learning * Optional appendix of statistical tools, providing a primer to readers who need it * Code in R and Stata, and data sets and exercises in Stata and CSV, to allow students to practice running their own regressions * Author-created videos on YouTube * PPT lecture slides and test bank for instructors

This handbook examines current mental health research, challenges in patient care, and advances in clinical psychiatry with the aim of improving approaches toward the screening of at-risk individuals, facilitating access to care, and supervising rehabilitation. Combining evidence-based research with clinical case studies, international experts provide detailed, holistic insights into our understanding of mental disorders through biological, social, interpersonal, and economical lenses. Models of intervention, prevention, and treatment are provided, along with methods for continued care and patient advocacy. Finally, experts analyze the future of psychiatric research and mental health care. Readers will gain greater understanding of the finer nuances of handling psychiatric cases and a holistic perspective of optimizing patient care within this field. This innovative book contributes to the development of community management of various psychiatric disorders and will be of interest to case managers, mental health workers, doctors, nurses, and many more.

Alan C. Acock's A Gentle Introduction to Stata, Revised Sixth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able to not only use Stata well but also learn new aspects of Stata. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example, the part of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that will help the reader develop good work habits. This mixture of explaining good Stata habits and explaining good statistical habits continues throughout the book. Acock is quite careful to teach the reader all aspects of using Stata. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). He also successfully introduces some more advanced topics such as multiple imputation and multilevel modeling in a very approachable manner. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of Stata commands and do-files. In this way, he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material. The tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward referencing. Rather than splitting topics by their Stata implementation, Acock arranges the topics as they would appear in a basic statistics textbook; graphics and postestimation are woven into the material naturally. Real datasets, such as the General Social Surveys from 2002, 2006, and 2016, are used throughout the book. The focus of the book is especially helpful for those in the behavioral and social sciences because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Various selection criteria, such as semipartial correlations, are discussed for model selection. Acock also covers a variety of commands available for evaluating reliability and validity of measurements. The revised sixth edition is fully up to date for Stata 17, including updated discussion and images of Stata's interface and modern command syntax. In addition, examples include new features such as the table command and collect suite for creating and exporting customized tables as well as the option for creating graphs with transparency.

This book explores the practical application of recent improvements in technology for people living with dementia and highlights the positive outcomes on care, quality of life, and services on patients through exploration of 15 research projects to redefine the future of dementia care. Using research compiled in collaboration with leading universities and organisations across Europe, this book demonstrates how INDUCT's (Interdisciplinary Network for Dementia Utilising Current Technology's) findings resulted in implications for practical cognitive and social factors to improve the usability of technology, evaluating the effectiveness of specific contemporary technology, and tracing facilitators and barriers for implementation of technology in dementia care. Featuring a unique training programme along with a wide range of patient-public involvement, this state-of-the-art volume will be essential reading for researchers, academics and scholars in the fields of dementia and mental health research, gerontology, psychology and nursing.

The third edition of Evaluating Research by Francis C. Dane and Elliot Carhart provides students with the skills to read and evaluate research studies. Aimed at courses where it is more important for students to develop an understanding of methods, rather than conduct their own research, this book covers all aspects of reading social, behavioral, and health science research from the basics, such as the structure of reports and accessing research, as well as overviews of the main types of research methods. The authors emphasize critical reading skills to enable students to become experts in evaluating research, so students can decide whether to incorporate that research into their future professional activities. Each chapter includes an overview at the beginning and exercises at the end to reinforce the content learned. Starting from the basic principles of why we do research, the book moves readers through the practicalities of finding studies to the principles of the scientific method and how to break down and analyze research reports. New to the third edition, Understanding Checks placed throughout each chapter help students cement their learning. The organization of the book is now more logical, with a new chapter on accessing research up front and ending with a chapter on statistical analyses. New research examples throughout, including such topical examples as mindfulness, college attendance, and bias in healthcare, help students see the relevance of research in their lives.

The transition from school to work is recognized by developmental psychologists as a significant phase in maturation of young people. In the 1990s the likelihood that the transition might be delayed by a period of prolonged unemployment was greater than any time since the 1930s. The psychological consequences of such a delay need to be understood because they may be damaging to both the individual and to society, particularly if they are long-lasting. Such an understanding is essential for the development of sound policy in relation to youth unemployment. Originally published in 1993, Growing up with Unemployment describes a major longitudinal study of a large group of South Australian school leavers through the 1980s. It assesses the scale and context of the problem and reviews the methods and theories that have been developed to study the psychological impact of unemployment. It also looks at those factors which may contribute towards helping young people cope with it, such as financial security, social support and being involved in constructive activities with other people. The authors also examine how we might be able to predict future unemployment and understand the relationship between it and alcohol consumption, smoking and drug use. This book describes a major study with important implications for employment policy, as well as future theory and research. This title will be interesting historical reading for students of psychology and social policy, policy makers and all those who deal with young people.

Praise for previous editions: "... a classic with a long history." - Statistical Papers "The fact that the first edition of this book was published in 1971 ... [is] testimony to the book's success over a long period." - ISI Short Book Reviews "... one of the best books available for a theory course on nonparametric statistics. ... very well written and organized ... recommended for teachers and graduate students." - Biometrics "... There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." - Technometrics "... Useful to students and research workers ... a good textbook for a beginning graduate-level course in nonparametric statistics." - Journal of the American Statistical Association Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R. Features Covers the most commonly used nonparametric procedures States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences Presents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS Lists over 100 new references Nonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers.

This accessible guide offers a concise introduction to the science behind worry in children, summarising research from across psychology to explore the role of worry in a range of circumstances, from everyday worries to those that can seriously impact children's lives. Wilson draws on theories from clinical, developmental and cognitive psychology to explain how children's worry is influenced by both developmental and systemic factors, examining the processes involved in pathological worry in a range of childhood anxiety disorders. Covering topics including different definitions of worry, the influence of children's development on worry, Generalised Anxiety Disorder (GAD) in children, and the role parents play in children's worry, this book offers a new model of worry in children with important implications for prevention and intervention strategies. Understanding Children's Worry is valuable reading for students in clinical, educational and developmental psychology, and professionals in child mental health.

This book highlights the effects of the COVID-19 pandemic on the mental health needs of children and adolescents in order to shed light on future practice and reform needed to better deal with the aftermath of such devastating events. The book identifies the conditions during any public health crisis that heighten the mental health needs of children and adolescents and suggests the reforms of mental health services needed to better meet the needs of children and youths during and following pandemics and other public health crises. Importance is placed not only on addressing the effects of COVID-19 but on anticipating and preparing for other public health disruptions to the lives of those who have not reached adulthood. Although mental health services in all settings are considered, special attention is given to the role of schools in providing for the mental health of children and adolescents and preparing for the mental health implications of future public health disruptions. The book will be of equal use to both students and researchers in the fields of mental health, well-being, and education as well as teachers, educational psychologists, social workers, and practitioners working in schools and communities to address students' mental health needs. It will help readers better understand how and why COVID-19 was a negative influence on students' mental health, and unpack how best to deal with the aftermath of the pandemic.

This edited volume recognizes that resilience, and the most effective means of harnessing it, differ across individuals, contexts and time. Presenting chapters written by a range of scholars and clinicians, the book highlights effective evidence-based approaches to nurturing resilience, before, during and after a traumatic experience or event. By identifying distinct therapeutic tools which can be used effectively to meet the particular needs and limitations associated with different age groups, clients and types of experience, the volume addresses specific challenges and benefits of nurturing resilience and informs best practice as well as self-care. Approaches explored in the volume include the use of group activities to teach resilience to children, the role of sense-making for victims of sex trafficking, and the ways in which identity and spirituality can be used to help young and older adults in the face of pain and bereavement. Chapters also draw on the lived experiences of those who have engaged in a personal or guided journey towards finding new meaning and achieving posttraumatic growth following experiences of trauma. The rich variety of approaches offered here will be of interest to clinicians, counsellors, scholars and researchers involved in the practice and study of building resilience, as well as trauma studies, psychology and mental health more broadly. The personal and practice-based real-life stories in this volume will also resonate with individuals, family and community members facing adversity.

R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.

* Features/Benefits o Provides a hands-on methodological guide and overview for understanding the data/results of longitudinal research in SLA/applied linguistics and for conducting one's own such studies, illustrating these methods with exemplary studies of language learning outcomes over a long term. o Original reportings of unique large-scale research studies offer the best one-stop shop for reading and understanding current quantitative longitudinal studies in language learning. o Appendices with data and pedagogical features make it useful for course use by instructors and students. * Demand/Audience o Meets the need for methodological clarity in collecting, managing/organizing, and analyzing quantitative longitudinal data on language learning by offering students and researchers of applied linguistics, testing, and education a practical guide to conducting this research along with unique exemplar studies. * Competition o The only book to focus on quantitative longitudinal data analysis specifically for an SLA/applied linguistics readership. One older book focuses on qualitative and other methods with a narrower focus, and no other book comes very close to doing what this book does.

Shared and Collaborative Practice in Qualitative Inquiry: Tiny Revolutions is a short collection of reflections on ethical research practice and scholarly community. It explores the qualitative tradition through the process of writing, photography, dance, and narrative. This is a book about ethical research practices, about simple truths, about the commitments we initially made to this work, and about how we might better support each other along the way. Most importantly, this is a book about finding and making our own communities. Communities do not belong to any one person or small group of people. Rather, communities-genuine, real, and vibrant communities-belong to us all. This is a book about how. This book is suitable for people new to qualitative research and seasoned researchers who would like to explore and develop traditions in qualitative inquiry.

This book introduces Unitary Developmental Theory (UDT) to the field of organization development. The second of two volumes, it introduces the UDT model and examines its application to organization development and change management. The book presents UDT comprising seven developmental levels, showing how using its methodical progression can help to avoid issues such as unsustainable growth and change failure while examining how the model improves collaboration, digital transformation, change management and team development. It shows how the model clinically transforms concepts such as culture which is often cited as the cause of failure for change, re-defining it as habituated maturation stage and simplifying culture change accordingly. This book is designed to accompany Volume 1 which details the psychology of the model and its equal applicability to mental-health recovery. Showing how UDT can be used as an overarching model to optimize organization development, this book will be of great interest to researchers, scholars and postgraduate students from the fields of organizational psychology, organization development and change management.

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

A Student Guide to Writing an Undergraduate Psychology Honors Thesis takes students through the entire process of creating a full-scale research project, from selecting a topic, choosing an experimental or correlational design, to writing and presenting their paper. The book offers valuable guidance on developing broader skills like communicating with your supervisor, time management and critical writing skills. Chapters cover topics such as mentor selection, collecting journal articles, gathering and analysing data, and writing a full APA or BPS experimental paper and will orientate and guide psychology students as they navigate the expected components of an honors thesis. Designed for any student that is currently working on an independent research project, A Student Guide to Writing an Undergraduate Psychology Honors Thesis is the perfect companion for those working on their senior honours thesis in psychology.

Psychologists use a variety of research methods and tools to learn about behavior and mental processes. The goal of this book is to introduce students to the "multimethod approach" to research in psychology, including observational, survey, and experimental methods. Students learn the strengths and weaknesses of each method, as well as ethical dilemmas when using them, so that they can become competent practitioners and thoughtful consumers of psychological research. Our approach is to engage students in the research process by describing contemporary research in psychology. Students learn about recent topics such as online dating and Facebook, cross-cultural observations of helping behavior, PTSD in orphaned chimpanzees, Medicaid and Medicare health outcomes, decision-making during Hurricane Katrina, clinical research and DSM-5, and much more. Each chapter's "stretching exercises," "stat tips," review questions, and challenge questions develop students' critical thinking about the psychological research that appears in scientific journals and in popular media. Together with the companion Online Learning Center for students, the 10th edition of Research Methods in Psychology provides a clearly written, compelling introduction to research methods in psychology.

Narratives of Recovery from Mental Illness presents research that challenges the prevailing view that recovery from 'mental illness' must take place within the boundaries of traditional mental health services. While Watts and Higgins accept that medical treatment may be a vital start to some people's recovery, they argue that mental health problems can also be resolved through everyday social interactions, and through peer and community support. Using a narrative approach, this book presents detailed recovery stories of 26 people who received various diagnoses of 'mental illness' and were involved in a mutual help group known as 'GROW'. Drawing on an in-depth analysis of each story, chapters offer new understandings of the journey into mental distress and a progressive entrapment through a combination of events, feelings, thoughts and relationships. The book also discusses the process of ongoing personal liberation and healing which assists recovery, and suggests that friendship, social involvement, compassion, and nurturing processes of change all play key factors in improved mental well-being. This book provides an alternative way of looking at 'mental illness' and demonstrates many unexplored avenues and paths to recovery that need to be considered. As such, it will be of interest to researchers, academics and postgraduate students in the fields of psychiatry, psychology, nursing, social work and occupational therapy, as well as to service providers, policymakers and peer support organisations. The narratives of recovery within the book should also be a source of hope to people struggling with 'mental illness' and emotional distress

Decisional privacy gives individuals the freedom to act and make decisions about how they live their lives, without unjustifiable interference from other individuals or the state. This book advances a theory of a child's right to decisional privacy. It draws on the framework of the United Nations Convention on the Rights of the Child and extends the work of respected children's rights scholars to address a significant gap in understanding the interconnections between privacy, family law and children's rights. It contextualises the theory through a case study: judicial proceedings concerning medical treatment for children experiencing gender dysphoria. This work argues that recognising a substantive right to decisional privacy for children requires procedural rights that facilitate children's meaningful participation in decision-making about their best interests. It also argues that, as courts have increasingly encroached upon decision-making regarding children's medical treatment, they have denied the decisional privacy rights of transgender and gender diverse children. This book will benefit researchers, students, judicial officers and practitioners in various jurisdictions worldwide grappling with the tensions between children's rights, parental responsibilities and state duties in relation to children's best interests, and with the challenge of better enabling and listening to children's voices in decision-making processes.

What have we learned about the psychological effects of the COVID-19 pandemic? Although we have largely returned to a normal mode of life, with most pandemic-related protective measures having been lifted, research on the psychological effects of the COVID-19 pandemic is still ongoing. This volume takes the opportunity to examine research from different psychological perspectives, including child and adolescent, educational, organizational, differential, biological, as well as social psychology. Eight chapters focus on aspects of mental health and well-being in particular affected target groups, including adolescents and students, teachers, crisis managers, and people with low socioeconomic status. The range of methods used in the original research is multi-faceted and includes, in addition to subjective surveys, ambulatory assessment, psychophysiological methods of fear conditioning, and genetic research approaches. Many of the contributions are based on well-characterized longitudinal cohorts. This volume demonstrates the diversity and methodological quality of the research that has been conducted under difficult pandemic conditions. Researchers, practitioners, and students will find the results helpful in developing evidence-based recommendations for at-risk groups to deal with similar future crises.

Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a combination of these. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust estimation approaches, such as consistent PLS-SEM. The traditional and modern estimation methods for PLS-SEM are now readily facilitated by both open-source and commercial software packages. This book presents PLS-SEM as a useful practical statistical toolbox that can be used for estimating many different types of research models. In so doing, the authors provide the necessary technical prerequisites and theoretical treatment of various aspects of PLS-SEM prior to practical applications. What makes the book unique is the fact that it thoroughly explains and extensively uses comprehensive Stata (plssem) and R (cSEM and plspm) packages for carrying out PLS-SEM analysis. The book aims to help the reader understand the mechanics behind PLS-SEM as well as performing it for publication purposes. Features: Intuitive and technical explanations of PLS-SEM methods Complete explanations of Stata and R packages Lots of example applications of the methodology Detailed interpretation of software output Reporting of a PLS-SEM study Github repository for supplementary book material The book is primarily aimed at researchers and graduate students from statistics, social science, psychology, and other disciplines. Technical details have been moved from the main body of the text into appendices, but it would be useful if the reader has a solid background in linear regression analysis.

Recent events have vividly underscored the societal importance of science, yet the majority of the public are unaware that a large proportion of published scientific results are simply wrong. The Problem with Science is an exploration of the manifestations and causes of this scientific crisis, accompanied by a description of the very promising corrective initiatives largely developed over the past decade to stem the spate of irreproducible results that have come to characterize many of our sciences. More importantly, Dr. R. Barker Bausell has designed it to provide guidance to practicing and aspiring scientists regarding how (a) to change the way in which science has come to be both conducted and reported in order to avoid producing false positive, irreproducible results in their own work and (b) to change those institutional practices (primarily but not exclusively involving the traditional journal publishing process and the academic reward system) that have unwittingly contributed to the present crisis. There is a need for change in the scientific culture itself. A culture which prioritizes conducting research correctly in order to get things right rather than simply getting it published.

Capstone projects have long been used in other disciplines but are now being seen within psychology courses. This textbook is a one-stop-shop for anyone looking to undertake a capstone project or other final project. In a friendly and collaborative style, this book guides the student through everything they need to know to ensure a successful capstone or other final project.

Statistics for Psychology is an interactive, highly visual, and accessible guide to the statistical practices you will encounter as a psychology student. Its software-agnostic approach keeps the focus on the core principles, rather than getting bogged down in complicated formulae and jargon. This book is based on the authors' BPS commended programme. It focusses on providing the strong foundational understanding you'll need to use statistics confidently and creatively rather than the software-specific way in which statistics is often taught. This edition includes: new content throughout on being a responsible researcher, a new chapter to support you in presenting your research to a critical audience, carefully designed graphics to explain statistical principles, "your turn" exercises to test your understanding of each chapter. This book is the ideal guide for students approaching statistics and research methods in psychology for the first time. Roger Watt is Emeritus Professor of Psychology at the University of Stirling. Elizabeth Collins is a researcher with a PhD in Psychology.