Drawing on the authors varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and multilevel models. After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis. This chapter provides a link between the two halves of the book, signaling the move from descriptive to inferential methods and from interdependence to dependence. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data. Relying heavily on numerical examples, the authors provide insight into the purpose and working of the methods as well as the interpretation of data. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional exercises, encouraging readers to explore new ground in social science research. Requiring minimal mathematical and statistical knowledge, this book shows how various multivariate methods reveal different aspects of data and thus help answer substantive research questions.

As new techniques and approaches to supervision attract interest within therapy-related professions, the contributors to this informative book consider the nature of a supervision and examine the ways in which it can be further defined and developed. Drawing together practical and theoretical perspectives, Integrative Approaches to Supervision examines the contribution that supervision can make within both organisational and individual settings. The book covers frameworks and models for supervision, supervision in clinical practice and issues within integrative supervision. Topics include: different models of the supervision practice; anti-oppressive practice; spirituality and supervision; counselling supervision in health care; supervision of organisations; self-protection for supervisors from complaints and litigation. Wide in scope but rich in detail, this book is essential reading for psychotherapists, counsellors, consultants and students involved in the supervision process.

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.

The second edition of a bestseller, Quantitative Methods and Socio-Economic Applications in GIS (previously titled Quantitative Methods and Applications in GIS) details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) methods and demonstrates them in various policy-relevant socio-economic applications with step-by-step instructions and datasets. The book demonstrates the diversity of issues where GIS can be used to enhance the studies related to socio-economic issues and public policy. See What's New in the Second Edition: All project instructions are in ArcGIS 10.2 using geodatabase datasets New chapters on regionalization methods and Monte Carlo simulation Popular tasks automated as a convenient toolkit: Huff Model, 2SFCA accessibility measure, regionalization, Garin-Lowry model, and Monte Carlo based spatial simulation Advanced tasks now implemented in user-friendly programs or ArcGIS: centrality indices, wasteful commuting measure, p-median problem, and traffic simulation Each chapter has one subject theme and introduces the method (or a group of related methods) most relevant to the theme. While each method is illustrated in a special case of application, it can also be used to analyze different issues. For example, spatial regression is used to examine the relationship between job access and homicide patterns; systems of linear equations are analyzed to predict urban land use patterns; linear programming is introduced to solve the problem of wasteful commuting and allocate healthcare facilities; and Monte Carlo technique is illustrated in simulating urban traffic. The book illustrates the range of computational methods and covers common tasks and major issues encountered in a spatial environment. It provides a platform for learning technical skills and quantitative methods in the context of addressing real-world problems, giving you instant access to the tools to resolve major socio-economic issues.

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.

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.

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 volume collects recent studies conducted within the area of medical education that investigate two of the critical components of problem-based curricula--the group meeting and self-directed learning--and demonstrates that understanding these complex phenomena is critical to the operation of this innovative curriculum. It is the editors' contention that it is these components of problem-based learning that connect the initiating "problem" with the process of effective "learning." Revealing how this occurs is the task taken on by researchers contributing to this volume. The studies include use of self-reports, interviews, observations, verbal protocols, and micro-analysis to find ways into the psychological processes and sociological contexts that constitute the world of problem-based learning.

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.

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.

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.

Cases and Stories of Transformative Action Research builds on its companion book, Principles and Methods of Transformative Action Research, by describing and analyzing dozens of examples of successful action research efforts pursued in the past five decades by students and faculty of the Western Institute for Social Research. Some projects are large-scale, and some are modest interventions in the everyday lives of those participating. Some are formal organizational efforts; others are the results of individual or small group initiatives. Included are chapters on community needs assessments and innovative grassroots approaches to program evaluation; the challenges of improving our decision-making during the crisis of the COVID-19 pandemic; strategies of intellectual activism in addressing the growing problem of workplace bullying; action research to preserve and share the history of the Omaha tribe; and plans for an innovative school-based project based on collaborative action-and-inquiry between students and Artificial Intelligence. In addition, there are a number of detailed stories about the use of transformative action research in such areas as somatic and trauma counseling, ethnic studies, health disparities, gender differences, grassroots popular education, and the improvement of statewide steps for preventing child abuse, among many others. This book can serve as an undergraduate or graduate social sciences text on research methods. It is also a guidebook for action-oriented research by academics, professionals, and lay people alike.

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.

Written by experimental research expert, Dr. William J. Ray, Research Methods for Psychological Science introduces students to the principles and practice of conducting research in psychology in an engaging, story-telling format. Ray helps students understand how research increases our understanding of ourselves and our environment and how logic and best practices can increase our understanding of human behavior. Whether their future roles will be researchers, consumers of research, or informed citizens, students will learn the importance of developing testable hypotheses, how to evaluate new information critically, and the impact of research on ourselves and our society. Based on Ray's influential textbook, Methods Toward a Science of Behavior and Experience, the book offers up-to-date pedagogy, structure, and exercises to reinforce the student's learning experience.

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.

Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences.

Readers will be able to understand and critically evaluate Rasch measurement research, perform their own Rasch analyses and interpret their results. The glossary and illustrations support that understanding, and the accessible approach means that it is ideal for readers without a mathematical background.

Highlights of the new edition include:

• More learning tools to strengthen readers’ understanding including chapter introductions, boldfaced key terms, chapter summaries, activities and suggested readings.
• Greater emphasis on the use of R packages; readers can download the R code from the Routledge website.
• Explores the distinction between numerical values, quantity and units, to understand the measurement and the role of the Rasch logit scale (Chapter 4).
• A new four-option data set from the IASQ (Instrumental Attitude towards Self-assessment Questionnaire) for the Rating Scale Model (RSM) analysis exemplar (Chapter 6).
• Clarifies the relationship between Rasch measurement, path analysis and SEM, with a host of new examples of Rasch measurement applied across health sciences, education and psychology (Chapter 10).

Intended as a text for graduate courses in measurement, item response theory, (advanced) research methods or quantitative analysis taught in psychology, education, human development, business, and other social and health sciences. Professionals in these areas will also appreciate the book’s accessible introduction.

First published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.

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

There have been many important changes in the participation of women and men in American society over the past quarter-century. Tests play a role in those changes by providing evidence of the diverse achievement and proficiency of women and men. They aid the learning process and reflect inequalities in opportunity to learn and participate. In addition, they provide useful information in considering what alternatives in education and work make most sense for individuals and influence views about groups of students, educational programs, and a wide range of issues. For all of these reasons, it is important that tests assess fairly and reflect accurately the ways young people are and are not achieving as well as desired. The test performance of women and men is a research topic of historical interest and has received much attention in recent years. Because of this increased interest, there is a great deal of new research and data available. The purpose of the study presented in this volume was to review this new information with two objectives in mind: *to clarify patterns of gender difference and similarity in test performance and related achievements, and *to see what implications those findings might have for fair assessment and, as a corollary, examine the assessment process as a possible source of gender differences. This study is interested in tests used in education to assess developed knowledge and skill. In order to gain a broader view of gender similarity and difference, the contributors looked at other types of measures and other characteristics of young women and men. Their hope is to contribute to a firmer basis for insuring fairness in tests--an objective which is particularly important as the field moves increasingly to new forms of assessment in which there is less experience.

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.

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

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.

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.

Advanced and Multivariate Statistical Methods, Seventh Edition provides conceptual and practical information regarding multivariate statistical techniques to students who do not necessarily need technical and/or mathematical expertise in these methods. This text has three main purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the discussion of those concepts and focusing on their practical applications. The second purpose is to provide students with the skills necessary to interpret research articles that have employed multivariate statistical techniques. Finally, the third purpose of AMSM is to prepare graduate students to apply multivariate statistical methods to the analysis of their own quantitative data or that of their institutions. New to the Seventh Edition All references to SPSS have been updated to Version 27.0 of the software. A brief discussion of practical significance has been added to Chapter 1. New data sets have now been incorporated into the book and are used extensively in the SPSS examples. All the SPSS data sets utilized in this edition are available for download via the companion website. Additional resources on this site include several video tutorials/walk-throughs of the SPSS procedures. These "how-to" videos run approximately 5-10 minutes in length. Advanced and Multivariate Statistical Methods was written for use by students taking a multivariate statistics course as part of a graduate degree program, for example in psychology, education, sociology, criminal justice, social work, mass communication, and nursing.