This book showcases 28 intriguing social psychological experiments that have significantly advanced our understanding of human social thinking and behavior. Each chapter focuses on the details and implications of a single study, while citing related research and real-life examples along the way. All the chapters are fully self-contained, allowing them to be read in any order without loss of coherence. This 2nd Edition contains a number of new studies and, together with its lively, conversational tone, it makes an ideal text for courses in social psychology, introductory psychology, or research design.

Software is cut-and-dried - every button you press has a predictable effect - but qualitative analysis is open-ended and unfolds in unpredictable ways. This contradiction is best resolved by separating analytic strategies - what you plan to do - from software tactics - how you plan to do it. Expert ATLAS.ti users have unconsciously learned to do this. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. The first part of the book explains how the contradiction between analytic strategies and software tactics is reconciled by "translating" between them. The second part provides both an in-depth description of how ATLAS.ti works and comprehensive instruction in the five steps of "translation". these steps are illustrated with examples from a variety of research projects. The third part contains real-world qualitative research projects from a variety of disciplines, methodologies, and kinds of qualitative analysis, all illustrated in ATLAS.ti using the Five-Level QDA method. The book is accompanied by three sets of videos demonstrations on the Companion Website. While this book uses screenshots from the current ATLAS.ti Version 8, it is still fully applicable to users of older versions. The book and accompanying videos illustrate the Windows version of ATLAS.ti. As there are some differences in screen and interface design between the Mac and Windows versions please watch the video 'The ATLAS.ti Mac Interface' in the Component Orientation series of videos (available September 2017) The Five-Level QDA method is based on the authors' combined 40 years of experience teaching ATLAS.ti and other software packages used as platforms for conducting qualitative analysis. After many years observing their students' challenges they developed the Five-Level QDA method to describe the process that long-time ATLAS.ti experts unconsciously adopt. The Five-Level QDA method is independent of software program or methodology, and the principles apply to any type of qualitative project. Please see the following URL to access the accompanying materials for this book: https://www.qdaservices.co.uk/five-level-qda

Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

This outstanding presentation of the fundamentals of multidimensional scaling illustrates the applicability of MDS to a wide variety of disciplines. The first two sections provide ground work in the history and theory of MDS. The final section applies MDS techniques to such diverse fields as physics, marketing, and political science.

Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches. The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.

Cognitive deficits are part of the normal ageing process and are exacerbated by various diseases that affect adults in old age, such as dementia, depression, and stroke. A significant scientific and social effort has been expended to evaluate whether cognitive deficits can be remedied through systematic interventions. The editors, as well as the chapter authors, represent a variety of viewpoints that span theory as well as practice. Overall, they aim to address concepts in cognitive rehabilitation that are useful in intervention research -- research which examines problems and issues in normal and pathological aging -- and focusing on the application of cognitive training strategies in natural settings. Thus, the book is grounded in contemporary theory in cognitive ageing and is applicable to both the practicing clinician as well as the researcher. It is organized into four sections. The first highlights prominent theoretical principles; the second looks at cognitive rehabilitation strategies in normal ageing; the third examines the interplay between lifestyle patterns and cognitive function through applying a broad definition of lifestyle choices; and the fourth focuses on rehabilitation strategies that address issues in pathological (or diseased) ageing.

This book explains the psychological assessment process and reviews the origins of psychological testing, referral and testing processes, and prominent psychological assessment instruments. Most important, this book details how to evaluate testing data and use them to understand an individual's needs and to inform interventions and treatments. This book addresses specific domains of psychological assessment, including: * Intelligence and academic achievement. * Speech-language and visual-motor abilities. * Memory, attention/concentration, and executive functioning. * Behavioral and social-emotional functioning. * Developmental status. Practical Guide to Child and Adolescent Psychological Testing is an essential resource for clinicians, primary care providers, and other practitioners as well as researchers, professors, and graduate students in the fields of child, school, and developmental psychology, pediatrics and social work, child and adolescent psychiatry, primary care medicine, and related disciplines.

This seminal work focuses on human development from middle childhood to middle adulthood, through analysis of the research findings of the groundbreaking Jyvaskyla Longitudinal Study of Personality and Social Development (JYLS). The JYLS project, which began in 1968, has generated extensive publications over many years but this is the first comprehensive summary that presents the conceptual framework, the research design and methodology, and the findings. The study looks at the development over time of issues related to personality, identity, health, anti-social behavior, and well-being and is unparalleled in its duration, intensity, comprehensiveness and psychological richness. The thorough synthesis of this study illustrates that there are different paths to adulthood and that human development cannot be described in average terms. The 42-year perspective that the JYLS provides shows the developmental consequences of children's differences in socioemotional behavior over time, and the great significance of children's positive socioemotional behavior for their further development until middle age. Not only will the book be an invaluable tool for those considering research methods and analysis on large datasets, it is ideal reading for students on lifespan courses and researchers methodologically interested in longitudinal research.

This seminal work focuses on human development from middle childhood to middle adulthood, through analysis of the research findings of the groundbreaking Jyvaskyla Longitudinal Study of Personality and Social Development (JYLS). The JYLS project, which began in 1968, has generated extensive publications over many years but this is the first comprehensive summary that presents the conceptual framework, the research design and methodology, and the findings. The study looks at the development over time of issues related to personality, identity, health, anti-social behavior, and well-being and is unparalleled in its duration, intensity, comprehensiveness and psychological richness. The thorough synthesis of this study illustrates that there are different paths to adulthood and that human development cannot be described in average terms. The 42-year perspective that the JYLS provides shows the developmental consequences of children's differences in socioemotional behavior over time, and the great significance of children's positive socioemotional behavior for their further development until middle age. Not only will the book be an invaluable tool for those considering research methods and analysis on large datasets, it is ideal reading for students on lifespan courses and researchers methodologically interested in longitudinal research.

In our society, medication is often seen as the treatment for severe mental illness, with psychotherapy a secondary treatment. However, quality social interaction may be as important for the recovery of those with severe mental illness as are treatments. This volume makes this point while describing the emotionally moving lives of eight individuals with severe mental illness as they exist in the U.S. mental health system. Offering social and psychological insight into their experiences, these stories demonstrate how patients can create meaningful lives in the face of great difficulties. Based on in-depth interviews with clients with severe mental illness, this volume explores which structures of interaction encourage growth for people with severe mental illness, and which trigger psychological damage. It considers the clients' relationships with friends, family, peers, spouses, lovers, co-workers, mental health professionals, institutions, the community, and the society as a whole. It focuses specifically on how structures of social interaction can promote or harm psychological growth, and how interaction dynamics affect the psychological well-being of individuals with severe mental illness.

Originally published in 1945, this title was intended mainly for use by teachers wishing to test children from ages 2-8 in order to establish their intelligence. Based on feedback to the author, this revised edition also includes tests for children up to the age of 15. The tests were used to give a teacher some idea of how much could be expected of each child, so that the class, when practicable, could be divided into groups of varying abilities, which could proceed at paces suited to their respective capacities. It was felt that if 'inborn intellectual deficiencies' could be identified at an early age the children could have 'special treatment', or in certain cases be placed in a 'special school', rather than be potentially written off as 'lazy'. Today this can be read and enjoyed in its historical context.

Survey Development: A Theory-Driven Mixed Methods Approach provides both an overview of standard methods and tools for developing and validating surveys and a conceptual basis for survey development. It advocates logical reasoning that combines theory related to construct validity with theory regarding design, and theory regarding survey response, item review, and identification of misfitting responses. The book has 14 chapters which are divided into four parts. Part A includes six chapters that deal with theory and methodology. Part B has five chapters and it gets into the process of constructing the survey. Part C comprises two chapters devoted to assessing the quality or psychometric properties (reliability and validity) of survey responses. Finally, the one chapter in Part D is an attempt to present a synopsis of what was covered in the previous chapters in regard to developing a survey with the Theory-Driven-Mixed-Methods (TDMM) framework for developing survey and conducting survey research. This provides a full process for survey development intended to yield results that can support validity. A mixed methods approach integrates both qualitative and quantitative data outcomes. Including detailed online resources, this book is suitable for graduate students who use or are responsible for interpretation of survey research and survey data as well as survey methodologists and practitioners who use surveys in their field.

Qualitative Inquiry in Neoliberal Times is written from the perspective that the scholarly lives of academics are changing, constantly in flux, and increasingly bound to the demands of the market - a context in which the university has increasingly morphed into a business enterprise, one that treats students as consumers to be marketed to, education as something to be purchased, and research as something to be capitalized on for financial gain. The effects of this market-orientation of scholarly life, especially on those in the social sciences and humanities, are ones that demand serious examination. At the same time, qualitative inquiry itself is changing and evolving within and against the rhythms of this 'new normal'. This volume engages with these emerging debates in qualitative research over new materialism, 'data', public policy, research ethics, public scholarship, and the corporate university in the neoliberal age. World-renowned contributors from the United States, United Kingdom, Spain, Norway, Australia, and New Zealand present a global perspective on these issues, framed within a landscape of higher education marked if not marred by efficiency metrics, accountability, external funding, and university rankings. Qualitative Inquiry in Neoliberal Times is a must-read for faculty and students alike interested in the changing dynamics of their profession, whether theoretically, methodologically, or structurally and materially. This title is sponsored by the International Association of Qualitative Inquiry, a major new international organization that sponsors an annual congress.

The world of mental illness is typically framed around symptoms and cures, where every client is given a label. In this challenging new book, Professor Bernard Guerin provides a fresh alternative to considering these issues, based in interdisciplinary social sciences and discourse analysis rather than medical studies or cognitive metaphors. A timely and articulate challenge to mainstream approaches, Guerin asks the reader to observe the ecological contexts for behavior rather than diagnose symptoms, to find new ways to understand and help those experiencing mental distress. This book shows the reader: how we attribute 'mental illness' to someone's behavior why we call some forms of suffering 'mental' but not others what Western diagnoses look like when you strip away the theory and categories why psychiatry and psychology appeared for the first time at the start of modernity the relationship between capitalism and modern ideas of 'mental illness' why it seems that women, the poor and people of Indigenous and non-Western backgrounds have worse 'mental health' how we can rethink the 'hearing of voices' more ecologically how self-identity has evolved historically how thinking arises from our social contexts rather than from inside our heads. Offering solutions rather than theory to develop a new 'post-internal' psychology, How to Rethink Mental Illness will be essential reading for every mental health professional, as well as anyone who has either experienced a mental illness themselves, or helped a friend or family member who has.

Why should researchers be interested in their feelings and emotions as they carry out research? Emotion is what it is to exist, to be human, and is present in every sphere of our lives. All activities are infused with emotion, even those that are constructed as 'rational', because rationality and emotionality are interpenetrated and entwined because all thinking is tinged with feeling, and all feeling is tinged with thinking. This book illuminates the emotional processes of doing social and organizational research, and the implications of this for the outcomes of research. With contributions from leading academics and research practitioners, it addresses the significant issue of the sometimes intense emotional experiences involved in doing research and the implications it has for the theory and practice of social research. By examining the nature of feelings and emotions, it explores how we might understand researchers' emotions and experiences, and considers the often powerful feelings encountered in a variety of research contexts. Topics discussed include: power relations; psycho-social explanations of researcher emotions; paradoxical relations with research participants and the sometimes disturbing data that is gained; research supervision; the politics of research; gender; publishing, undergoing vivas and presenting at conferences. This book will therefore be a valuable companion to researchers and research students from the start of their career onwards.

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the principles, indicators, and ways of representing and visualising objects that are common to the exploratory methods. The authors show how to use categorical variables in a PCA context in which variables are quantitative, how to handle more than two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which variables are categorical. They also illustrate the methods using examples from various fields, with related R code accessible in the FactoMineR package developed by the authors.

This volume presents a collection of articles selected from Teaching of Psychology, sponsored by APA Division 2. It contains the collective experience of teachers who have successfully dealt with students' statistics anxiety, resistance to conducting literature reviews, and related problems. For those who teach statistics or research methods courses to undergraduate or graduate students in psychology, education, and the social sciences, this book provides many innovative strategies for teaching a variety of methodological concepts and procedures in statistics and research methods courses.

What drives people toward their goals? Does motivation come from outside the individual or from within? This is a concise, engaging overview of leading theories and the wide body of research about this core concept in psychology. It draws from a broad spectrum of psychological models and disciplines, and focuses on how various theories of motivation define and examine different motivational attributes, such as rewards and goals. Real life case examples illuminate how various models explain behavior and connect the study of motivation to our daily lives.

An entertaining, affordable alternative to lengthy and expensive texts on the subject, Motivation 101 is unique in helping readers understand how each theory of motivation-behavioral, neurobiological, attribution, and other paradigms--views and defines a particular concept within the model. For example, each modality views the concept of "reward" from a different perspective. Tables within each chapter compare and contrast the thinking of different schools in regard to each construct. The book is also unique in its multidisciplinary focus, whereby research is drawn not only from different domains of psychology but also from such disciplines as education and business. The book considers cultural differences in the study of motivation and collaborative environments, and addresses changing research methodologies. The book concludes with a discussion of how motivation theory is applied in practical contexts to create change in the world. It will be an asset to undergraduate and graduate courses in motivation in psychology, education, and business.

Key Features: Provides a concise, engaging overview of motivation that encompasses leading theories and a broad body of research Compares and contrasts different schools of motivation theories and models including needs-based and cognitively based paradigms Draws from research across a wide range of domains within psychology, education, and business Connects the study of motivation to our daily lives through case examples and metaphors Demonstrates how applying theories of motivation can have tremendous impact on behavior change

This is an easy-to-use reference to the most effective play therapy techniques and their substantiated results. Play therapy is not an approach based on guess, trial and error, or whims of the therapist at the moment. It is a well-thought-out, philosophically conceived, developmentally based, and research-supported method of helping children cope with and overcome the problems they experience in the process of living their lives. Concise digests of play therapy procedures explore the most difficult, as well as the most common problems encountered by play therapists. These digests cover play therapy approaches based on a variesty of theoretical positions for dealing with a broad range of specific problems.

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses. The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers. Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.

In this volume, academics and researchers across disciplines including education, psychology and health studies come together to discuss personal, political and professional narratives of struggle, resilience and hope. Contributors draw from a rich body of auto/biographical research to examine the role of narrative and how it can be constructed to compose a life story, considering the roles of significant others, inspirational, educational and fictional characters, and those in myth and legend. The book discusses how personal narrative, often neglected in social and psychological enquiry, can be a valuable resource across a range of settings. Reference is made to the evolving role of narrative in education and health care, medicine and psychotherapy. This includes how particular narratives are hardwired into culture in ways that stifle personal and social understanding. Rather than providing a 'how to' guide, the book illustrates the range and power of narrative, including poetry, to re-awaken senses of self and agency in extremis. Each chapter draws on specific research, describing the context, explaining the methodology, and illuminating important findings. Discussing implications for research and practice, this book will be key reading for postgraduate and doctoral students in auto/biographical and narrative studies, and across a range of disciplines, including education, health and social care, politics, counselling and psychotherapy. It will be of interest to academics teaching research methods, and those developing biographical and auto/biographical narrative research.

Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact. While most human resources (HR) practitioners are familiar with basic adverse impact analysis, the courts and regulatory agencies are increasingly relying on more sophisticated methods to assess disparities. Employment data are often complicated, and can include a broad array of employment actions (e.g., selection, pay, promotion, termination), as well as data that span multiple protected groups, settings, and points in time. In the era of "big data," the HR analyst often has access to larger and more complex data sets relevant to employment disparities. Consequently, an informed HR practitioner needs a richer understanding of the issues and methods for conducting disparity analyses. This book brings together the diverse literature on disparity analysis, spanning work from statistics, industrial/organizational psychology, human resource management, labor economics, and law, to provide a comprehensive and integrated summary of current best practices in the field. Throughout, the description of methods is grounded in the legal context and current trends in employment litigation and the practices of federal regulatory agencies. The book provides guidance on all phases of disparity analysis, including: How to structure diverse and complex employment data for disparity analysis How to conduct both basic and advanced statistical analyses on employment outcomes related to employee selection, promotion, compensation, termination, and other employment outcomes How to interpret results in terms of both practical and statistical significance Common practical challenges and pitfalls in disparity analysis and strategies to deal with these issues

Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact. While most human resources (HR) practitioners are familiar with basic adverse impact analysis, the courts and regulatory agencies are increasingly relying on more sophisticated methods to assess disparities. Employment data are often complicated, and can include a broad array of employment actions (e.g., selection, pay, promotion, termination), as well as data that span multiple protected groups, settings, and points in time. In the era of "big data," the HR analyst often has access to larger and more complex data sets relevant to employment disparities. Consequently, an informed HR practitioner needs a richer understanding of the issues and methods for conducting disparity analyses. This book brings together the diverse literature on disparity analysis, spanning work from statistics, industrial/organizational psychology, human resource management, labor economics, and law, to provide a comprehensive and integrated summary of current best practices in the field. Throughout, the description of methods is grounded in the legal context and current trends in employment litigation and the practices of federal regulatory agencies. The book provides guidance on all phases of disparity analysis, including: How to structure diverse and complex employment data for disparity analysis How to conduct both basic and advanced statistical analyses on employment outcomes related to employee selection, promotion, compensation, termination, and other employment outcomes How to interpret results in terms of both practical and statistical significance Common practical challenges and pitfalls in disparity analysis and strategies to deal with these issues

Human behavior is fascinating so it's no surprise that psychologists and neuroscientists spend their lives designing rigorous experiments to understand it. MATLAB is one of the most widely used pieces of software for designing and running behavioral experiments, and it opens up a world of quick and flexible experiment programming. This book offers a step-by-step guide to using MATLAB with Psychtoolbox to create customisable experiments. Its pocket size and simple language allow you to get straight to the point and help you to learn fast in order to complete your work in great time. In nine simple steps, it guides you all the way from setting parameters for your experiment to analysing the output. Gone are the daunting days of working through hundreds of irrelevant and complicated documents, as in this handy book, Erman Misirlisoy coaxes you in the right direction with his friendly and encouraging tricks and tips. If you want to learn how to develop your own experiments to collect and analyse behavioral data, then this book is a must-read. Whether you are a student in experimental psychology, a researcher in cognitive neuroscience, or simply someone who wants to run behavioral tasks on your friends for fun, this book will offer you the skills to succeed.