This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions. Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis. The book begins by explaining fundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra. Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.

Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations. With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included. Using Bayesian linear models, multi-level models and generalized linear models, an extensive statistical framework is introduced, covering a huge variety of research situations and yet, building on only a handful of basic concepts. Unique solutions to recurring problems are presented, such as psychometric multi-level models, beta regression for rating scales and ExGaussian regression for response times. A "think-first" approach is promoted for model building, as much as the quantitative interpretation of results, stimulating readers to think about data generating processes, as well as rational decision making. New Statistics for Design Researchers: A Bayesian Workflow in Tidy R targets scientists, industrial researchers and students in a range of disciplines, such as Human Factors, Applied Psychology, Communication Science, Industrial Design, Computer Science and Social Robotics. Statistical concepts are introduced in a problem-oriented way and with minimal formalism. Included primers on R and Bayesian statistics provide entry point for all backgrounds. A dedicated chapter on model criticism and comparison is a valuable addition for the seasoned scientist.

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews. Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.

A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of important concepts are based on providing intuition using illustrative figures and numerical examples. The first part shows how statistical methods are used in diverse fields in answering important questions, while part two covers descriptive statistics and considers the organisation and summarisation of data. Parts three to five cover probability, statistical inference, and more advanced statistical techniques.

Straightforward and accessible, this pragmatic guide takes you step-by-step through doing grounded theory research. With hands-on advice focussed around designing real projects, it demonstrates best practice for integrating theory building and methods. Its extensive examples and case studies are drawn from across the social sciences, presenting students with a range of options for both applying and using grounded theory. Clear and easy to follow, this second edition: Traces the evolution of grounded theory method and provides a clear introduction to the nuanced history of grounded theory Showcases important concepts like theory building, helping you to reflect on the wider context of your research and the contribution it makes to existing literature Offers practical advice for how to do grounded theory research, alleviating common student concerns every step of the way This new edition features two new chapters: one covering theory, and one on Theoretical Sampling. Several chapters have also undergone updates: Chapter 5 includes a wider range of perspectives including feminist and post-colonial perspectives, Chapter 9 features new, contemporary examples on how to write up your study, and Chapters 2 and 10 include new developments in the field of Grounded Theory. Supported by videos from the author sharing expert advice, this book helps you build the confidence to explore and successfully complete your own grounded theory research.

This study explores the flow of information within and among academic disciplines in the social sciences and humanities through analyses of the patterns of scholarly book reviewing. An elite sample of scholarly monographs published by university presses between 1971 and 1990 was used.

Beginning with Derek de Solla Price, the measurement of communication within the disciplines of science has been ongoing. In the present book that field of inquiry is summarized and provides a basis for examining the flow of information in the social sciences and humanities.

This book employs a corpus-based Critical Discourse Analysis (CDA) methodology to analyse the language used by university careers services in the UK. Drawing on a corpus which includes the public-facing websites of careers services from 24 Russell Group and 34 Post-92 universities, the author highlights some of the potentially problematic 'common-sense' views and ideas that are currently promoted to students using these services. She argues that the language used by university websites promotes neoliberal ideology and encourages the denaturalisation of such language. This book will be of interest to linguists, sociologists, education scholars, and scholars who are otherwise interested in the notion of employability.

What is educational research? What are its current approaches, methods and methodologies? How should existing literature be reviewed and evaluated critically? What are the key philosophical debates in and on educational research? How should research in education be conducted and how should it be presented? And what is the value of such research?With this extensively revised edition of a much-admired and engaging guide, Jerry Wellington provides clear and constructive answers to these questions, complete with detailed advice on methods such as interviewing, surveys, documentary research and the use of focus groups. Thoroughly overhauled and updated, this edition includes new case studies, helpful 'key theories' and 'key theorist' boxes, and a range of activities or 'points to ponder' to foster engagement with current issues. Retaining the clarity and concision of the previous edition, and its approachable and practical style, Jerry Wellington provides an invaluable text for all those engaged in educational research.

This supplemental volume is divided into parts covering the broad view of international human resources management, HRM issues and practices in Europe and in other important regions, and international HRM and expatriates.

Social Research Methods: Qualitative and Quantitative Methods 7e is a highly regarded text that presents a comprehensive and balanced introduction to both qualitative and quantitative approaches to social research with an emphasis on the benefits of combining various approaches. New this edition: MyResearchKit--Social Research Methods 7E can be packaged with this text at no additional cost (ISBN: 0205751342) or purchased separately. MyResearchKit includes: * Multiple-choice practice test questions* Flashcards of key terms* Short research exercises (previously in the workbook)*Social Explorer: census data from 1790 - present* A Social Research in the News blog*Writing tutorial: covers documenting sources, avoiding plagiarism, and various kinds of writing assignments (literature reviews, abstracts, research proposals, etc.)*MySearchLab: a search engine for retrieving scholarly research articles from hundreds of academic journals

COVID-19 has once again illuminated the ways in which health risks and negative health outcomes are tied to economic and social inequalities. Disabled people rank among those most disadvantaged in terms of education, income, and social inclusion and this exacerbated their risk of negative pandemic-related outcomes. From the start, it was clear that disabled people would be disproportionately affected by the pandemic and this solidified as the pandemic unfolded. Disability in the Time of Pandemic is a timely exploration of emerging research into the implications of the COVID-19 pandemic for people with disabilities in their varied communities and across their complex identities. Using the insights, perspectives, and methods of a variety of disciplines including Anthropology, Disability Studies, Education, Physical and Rehabilitation Therapies, Public Health, Psychology, Sociology, and Women's and Gender Studies, authors explore the initial and ongoing effects of the global pandemic on people with disabilities in Canada, India, Poland, and the United States. The Research in Social Science and Disability series is essential reading for researchers and students across the social sciences interested in disability, social movements, activism, and identity.

Contemporary Studies in Sociology

Statistical illiteracy can have an enormously negative impact on decision making. This volume of collected papers brings together applied and theoretical research on risks and decision making across the fields of medicine, psychology, and economics. Collectively, the essays demonstrate why the frame in which statistics are communicated is essential for broader understanding and sound decision making, and that understanding risks and uncertainty has wide-reaching implications for daily life. Gerd Gigerenzer provides a lucid review and catalog of concrete instances of heuristics, or rules of thumb, that people and animals rely on to make decisions under uncertainty, explaining why these are very often more rational than probability models. After a critical look at behavioral theories that do not model actual psychological processes, the book concludes with a call for a "heuristic revolution" that will enable us to understand the ecological rationality of both statistics and heuristics, and bring a dose of sanity to the study of rationality.

This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the ?rst paper on this topic in 2001 [Hoijtink, H. Con?rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563-588]. The current state of a?airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e?orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con?dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti?c Research (NWO) whose VICI grant (453-05-002) awarded to the ?rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.

The first edition of All Tomorrow's Cultures explored the legacy of futures-thinking in anthropology and marked the beginning of a resurgence of interest in anthropological futures. The new edition has been updated to reflect some of the outpouring of work since then, particularly in science and technology studies and in anthropological analyses of indigenous futures. In addition, Collins has updated the final chapter to expand the field of anthropological possibility in an age of both despair and hope.

Edwin Hartman offers an account of his intellectual journey from Aristotle to organization theory to business ethics to an Aristotelian approach to business ethics. Aristotle's work in metaphysics and psychology offers some insights into the explanation of behavior. Central to this sort of explanation is characteristically human rationality. Central to successful organizations is characteristically human sociability. That human beings are by nature rational and sociable is the basis of Aristotle's ethics. Though a modern organization is not a polis in Aristotle's sense, it has good reason to treat people as rational and sociable on the whole, and thereby to preserve the organization as a commons of people linked by something much like Aristotle's account of strong friendship. Organizations that are successful in this respect, particularly those that deal with a nationally diverse workforce, may offer a far-reaching and attractive model.

Social movement studies have grown enormously in the last few decades, spreading from sociology and political science to other fields of knowledge, as varied as geography, history, anthropology, psychology, economics, law and others. With the growing interest in the field, there has been also an increasing need for methodological guidance for empirical research. This volume addresses this need by introducing the main methods of data collection and data analysis as they have been used in past research on social movements. Unlike other volumes, the book offers a practical, how-to approach and not simply a review of the methodological literature. Each author writes on a method they are very familiar with, having used it extensively in their own work. And each chapter presents specific discussions on every stage of research: from research design to data collection and the use of the information gathered. Throughout, research dilemmas and choices are presented, illustrated, and discussed. The volume offers an essential point of references for anyone undertaking research on social movements.

The first edition of All Tomorrow's Cultures explored the legacy of futures-thinking in anthropology and marked the beginning of a resurgence of interest in anthropological futures. The new edition has been updated to reflect some of the outpouring of work since then, particularly in science and technology studies and in anthropological analyses of indigenous futures. In addition, Collins has updated the final chapter to expand the field of anthropological possibility in an age of both despair and hope.

This book highlights major quantitative and qualitative methods and approaches used in the field of urban analysis. The respective chapters cover the background and relevance of various approaches to urban studies and offer guidance on implementing specific methodologies. Each chapter also provides links to real-world examples. The book is unique in its focus on Australian examples and subject matter, presented by recognized experts in the field.

Today, concerns about the financial stability of Social Security, trends in disability, health care costs, and the supply of caregivers are all driven by the coming explosion inthe number of people over the age of 65. Aging in America focuses on the economic and demographic portrait of the senior population and can provide a context for analysis of broader population issues. It provides a wide range of characteristics of the older population including: age composition, race and Hispanic origin, educational attainment, living arrangements, veteran status, employment and income, health insurance, disability and housing characteristics. Extracting comparative information from the Census Bureau's FactFinder dissemination system can be difficult and time-consuming. Aging in America provides comparative data on a variety of topics in a single, easy-to-use volume. Some of the benefits of Aging in America include: *It provides a cross-section of socio-economic characteristics focused on the aging population for commonly researched geographic areas: states, counties, cities, metropolitan and micropolitan areas, and congressional districts *The tables are structured to allow easy comparisons across geographic areas and easy profiling of characteristics for any area of reader interest

This book represents a close engagement with vulnerable populations in the city of Calabar in southeastern Nigeria. Following the traditions of Clifford Geertz' thick description, Elliot Eisner's arts-based research, and Laurel Richardson's poetic inquiry, Learning Calabar weaves prose and poetry in a hybrid form that evokes the everyday lives of gate keepers, grounds keepers, taxi drivers, cooks, and children with whom the author interacted during a Fulbright year. From the stance of a participant-observer, it traces her learning of history and the evolution of her understanding as she lived, along with her neighbors, in the chaos of governmental failure, extended power outages, and dysfunctional systems, aware that her privilege offered protections not afforded to her neighbors. This work opens doors to a long sweep of Nigerian history, while keeping a laser eye on people living now in the aftermath of that history, which is both culturally rich and politically torn. Written from the viewpoint of a learner, this book will be of interest to learners of West African history, cultural anthropology, ethnography, women's studies, cross cultural studies, and poetic inquiry. Its vibrant voice and poetic renderings also make it accessible and engaging for general audiences.

This book seeks to introduce students to the challenges of 'real life' social research through a detailed consideration of eight recent empirical studies. Designed to complement existing introductory methods texts, it emphasises the importance of context in understanding and interpreting both the practice and 'product' of empirical research. The book focuses on research from eight key sub-areas of sociology, making it a useful secondary text for introductory courses on contemporary British society.

This thoroughly revised, extended and updated second edition of Silvia Gherardi's classic book gives the reader a must-read orientation through the myriad of methods and styles involved in practice-based research. Practice-based approaches to knowing, learning, innovating, and managing have thrived in recent years. Calling upon numerous narratives from a range of research fields, the author offers insight into the many possibilities of practice research, highlighting the inextricable links between humans and technology as the key emergent trend in management studies. Developing an innovative posthumanist approach, this novel book offers a useful and insightful compass for the navigation of practice-based studies through the lens of exemplar vignettes from internationally acclaimed researchers. A valuable and instructive work, this book is critical to any scholars of practice theories, as well as management and organizational studies and those with a keen interest in research methods. Masters students seeking insight into the development of practice-based studies, and PhD researchers developing their own methodologies will also find the guidance of this book indispensable in their studies.

During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g., Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a, b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research."