This book explores the fundamentals of multidimensional scaling (MDS) and how this analytic method can be used in applied setting for educational and psychological research. The book tries to make MDS more accessible to a wider audience in terms of the language and examples that are more relevant to educational and psychological research and less technical so that the readers are not overwhelmed by equations. The goal is for readers to learn the methods described in this book and immediately start using MDS via available software programs. The book also examines new applications that have previously not been discussed in MDS literature. It should be an ideal book for graduate students and researchers to better understand MDS. Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research is divided into three parts. Part I covers the basic and fundamental features of MDS models pertaining to applied research applications. Chapters in this section cover the essential features of data that are typically associated with MDS analysis such as preference ration or binary choice data, and also looking at metric and non-metric MDS models to build a foundation for later discussion and applications in later chapters. Part II examines specific MDS models and its applications for education and psychology. This includes spatial analysis methods that can be used in MDS to test clustering effect of items and individual differences MDS model (INDSCAL). Finally, Part III focuses on new applications of MDS analysis in these research fields. These new applications consist of profile analysis, longitudinal analysis, mean-level change, and pattern change. The book concludes with a historical review of MDS development as an analytical method and a look to future directions.

Capitalism is under attack. Defenders say that capitalism has raised billions of people from poverty. But a central activity of capitalism today, Wall Street style, is speculation (gambling), using other people's money, and privatizing the profits while socializing the debts. Skeptics argue that capitalism has redistributed the wealth of the planet in favor of a very few, meanwhile leaving the planet in bad shape and leaving billions of people out in the cold. Wealth is now extremely mal-distributed, opportunity is far from equal, and upward social mobility has declined significantly in recent decades. This book reviews the evidence and arguments pro and con in considerable detail. The evidence is mixed. The main virtue of capitalism is its emphasis on competition as a driver of innovation and, thus, of economic growth. It is true that economic growth has accelerated in recent centuries, and it is true that billions of people have been lifted from poverty. But it is not necessarily true that intense "winner take all" competition in the marketplace is the explanation for growth. Neoclassical economic theory posits that self-interest is the primary motive for all economic decisions, leaving little room for cooperation and even less for altruism. The theory applies to an unrealistic "model" of human behavior, known as Homo economicus or "economic man", whose characteristic activity is buying or selling. The reason for using the adjective word "social" - as in socialism" or "social service" or "social democracy" -- is, essentially, to deny those postulates of standard economic theory. Real humans are not rational utility maximizers (whatever that is) and very often do things that are not in their own personal best interests. This can happen because other interests, such as family loyalty, professional, religious, or patriotic duty, may take precedence. Real people rarely behave like Homo economicus, who has rivals but no friends. He (or she) does not trust anyone, hence cannot cooperate with others, and can never create, or live in, a viable social system (or marriage). Yet social systems, ranging from families and tribes to firms, cities, and nations do (and must) exist or civilization cannot exist. A viable social system must not allow "winner takes all". It must reallocate some of the societal wealth being created by competitive activities to support the young, the old and the weak, because all of those people have equal rights, if not the same luck or the same skills. Both competition and cooperation have important roles to play. A hybrid capitalism involving both is the only viable solution. The book ends with a specific suggestion, namely Universal Basic Income, or UBI.

The aim of this set of books is to combine the best of current academic research into the use of Communities of Practice in education with "hands on" practitioner experience in order to provide teachers and academics with a convenient source of guidance and an incentive to work with and develop in their own Communities of Practice. This set of books is divided into two volumes: volume 1 deals principally with the issues found in colocated Communities of Practice, while volume 2 deal principally with distributed Communities of Practice"

"Few historians have more skillfully integrated economic with social, intellectual and political history to demonstrate both the importance and the limits of economic developments-the material reality and the perception of it.... Pleasurable as well as instructive reading for anyone interested in the most fateful of our national crimes and the most fearful of our national crises.... [A] splendid book." -Eugene D. Genovese, Los Angeles Times Book Review

Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary. This prescient book presents the intellectual terrain of shrinking cities while exploring the key research questions in each of the field?s sub-domains and reviewing the range of methodologies within these topics. The book begins with an introduction outlining what shrinking cities are and how they are researched, highlighting both the opportunities and challenges that arise in this field, including the big ideas any researcher must grapple with. The next six chapters are each devoted to a different sub-domain within shrinking cities, offering a quick overview of the topics, relevant problems, paradoxes and key research questions. The book concludes with a review of the major themes and, most importantly, looks toward the future, predicting and anticipating the most significant future research trends related to shrinking cities. This accessible and compelling Research Agenda will be of interest to researchers looking to move into this area, urban studies and planning instructors who are teaching research methods courses, and students studying or independently researching shrinking cities.

Religious ignorance is as dangerous for societal stability as religious extremism. In "The Great Leap-Fraud," author A. J. Deus shows that only through the cowardly behavior of a majority that is uneducated in religious questions can sectarian extremism and terrorism take shape and overtake societies. Modern civilizations fail to address the dangerous defect.

Based on a reassessment of primary documents from the beginning of Judaism through to the Reformation, "The Great Leap-Fraud" evaluates the Judaic scriptures of the Jews, the Christians, and the Muslims for their potential to stir hatred, violence, and terrorism. It searches for messages in the scriptures that may alter the economic behavior of societies.

While providing an overview of three major religions-Judaism, Christianity, and Islam-"The Great Leap-Fraud" uncovers a series of frauds and premeditated deployment of "prophets" with the goal to establish or redeem the Jewish state of Israel. It also uncovers how the vested interest of Christian historians has pushed the rise of Christianity unto Roman Emperors. Deus shows that the way humans think and act are strongly influenced by a culture driven by the norms of religious organizations, both past and present.

Advancing Digital Humanities moves beyond definition of this dynamic and fast growing field to show how its arguments, analyses, findings and theories are pioneering new directions in the humanities globally. Sections cover digital methods, critical curation and research futures, with theoretical and practical chapters framed around key areas of activity including modelling collections, data-driven analysis, and thinking through building. These are linked through the concept of 'ambitious generosity', a way of working to pursue large-scale research questions while supporting and enabling other research areas and approaches, both within and beyond the academy.

This book discusses the application of various statistical methods to texts, rather than numbers, in various fields in behavioral science. It proposes an approach where quantitative methods are applied to data whereas previously such data were analyzed only by qualitative research methods. To emphasize the quantitative aspects of semantics, and the possibilities of conducting scientific interferences, the book introduces the concept of statistical semantics and presents the reader with a subset of techniques found in that domain. More specifically, the book focuses on methods that allow the investigation of semantic relationships between words, based on empirical corpus data. It shows the reader how to apply various statistical methods on texts, for example statistical tests to ascertain whether two sets of text are statistically different, ways to predict variables from text, as well as how to summarize and graphically illustrate texts. Thus, the book presents an accessible hands-on introduction to a selection of techniques, indispensable for cognitive psychologists, linguists, and social psychologists.

In many disciplines of science it is vital to know the effect of a 'treatment' on a response variable of interest; the effect being known as the 'treatment effect'. Here, the treatment can be a drug, an education program or an economic policy, and the response variable can be an illness, academic achievement or GDP. Once the effect is found, it is possible to intervene to adjust the treatment and attain a desired level of the response variable. A basic way to measure the treatment effect is to compare two groups, one of which received the treatment and the other did not. If the two groups are homogenous in all aspects other than their treatment status, then the difference between their response outcomes is the desired treatment effect. But if they differ in some aspects in addition to the treatment status, the difference in the response outcomes may be due to the combined influence of more than one factor. In non-experimental data where the treatment is not randomly assigned but self-selected, the subjects tend to differ in observed or unobserved characteristics. It is therefore imperative that the comparison be carried out with subjects similar in their characteristics. This book explains how this problem can be overcome so the attributable effect of the treatment can be found. This book brings to the fore recent advances in econometrics for treatment effects. The purpose of this book is to put together various economic treatments effect models in a coherent fashion, make it clear which can be parameters of interest, and show how they can be identified and estimated under weak assumptions. The emphasis throughout the book is on semi- and non-parametric estimation methods, but traditional parametric approaches are also discussed. This book is ideally suited to researchers and graduate students with a basic knowledge of econometrics.

This book addresses major population and development issues: fertility and reproductive health, migrations, gender, education, poverty and inequalities. To that aim it revisits and considerably enlarges Kingsley Davis' 1963 theory of change and response, using interdisciplinary methodologies. On the basis of four decades of field research (1985-2015), it questions the rationality of the actors, how culture shapes socio-demographic behaviours, in a context of modernity and globalisation. More specifically, it casts new light on the interactions of individuals, families, networks and local communities with the State and its population policy.

This is the second of Momeni's two-volume series on homelessness in the United States. While volume I concentrated on the statewide distribution, variations, trends, and characteristics of the homeless population, the present volume addresses the problem of data collection and specific causes and issues that relate to homelessness. Unique in its attempt to bring systematic data and analysis to bear on the subject, this groundbreaking study focuses upon such critical areas as drug abuse among the homeless, the housing situation that gives rise to homelessness, homeless children, food sources, and problems of employment. Although the contributors approach the topic from a number of different perspectives, they are united in their conclusion that realistic solutions to the problem of homelessness rest not in establishing new and dramatic programs, but rather in forging links between government and private agencies to create a system-wide response to the multiple needs of the homeless population. In addition to exploring the serious and persistent problems homeless people face, the contributors highlight the difficulties inherent in measuring the extent of homelessness accurately, concluding that efforts to do so are likely to produce an undercount. A number of chapters provide a clearer picture of the homeless population in America by examining both the socioeconomic and demographic correlates and the social-psychiatric dimensions of homelessness. Finally, the contributors compare and contrast the characteristics of homelessness and the methods of dealing with the problem in the United States, Canada, and Great Britain. Two concluding essays provide an overview of homelessness on the national level and propose public policies likely to be most effective in reducing homelessness. Numerous tables and figures illustrate points made in the text. Students of social sciences, social practitioners, and public policymakers will find Homelessness in America provocative reading, and a reliable source of data and analysis.

Structural Modelling by Example offers a comprehensive overview of the application of structural equation models in the social and behavioral sciences and in educational research. It is devoted in nearly equal proportions to substantive issues and to methodological ones. The substantive section comprises case studies of the use of these models in a number of disciplines. The authors emphasize the reasons for modelling by these methods, the processes involved in defining the model, and the interpretation of the results. The methodological section comprises investigations of the behavior of structural equation modelling methods under a number of conditions. The aim is to clarify the situations in which these methods can usefully be applied and the interpretations that can be made. All researchers with a basic understanding of regression and factor analysis will find this book to be an invaluable resource as they seek to evaluate the possibilities of these new approaches for their own data.

The papers collected in this volume focus on new perspectives on individuals, society, and science, specifically in the field of socio-economic systems. The book is the result of a scientific collaboration among experts from "Alexandru Ioan Cuza" University of Iasi (Romania), "G. d'Annunzio" University of Chieti-Pescara (Italy), "University of Defence" of Brno (Czech Republic), and "Pablo de Olavide" University of Sevilla (Spain). The heterogeneity of the contributions presented in this volume reflects the variety and complexity of social phenomena. The book is divided in four Sections as follows. The first Section deals with recent trends in social decisions. Specifically, it aims to understand which are the driving forces of social decisions. The second Section focuses on the social and public sphere. Indeed, it is oriented on recent developments in social systems and control. Trends in quantitative theories and models are described in Section 3, where many new formal, mathematical-statistical tools for modelling complex social phenomena are presented. Finally, Section 4 shows integrative theories and models; particularly, it deals with the ethical, cultural and political approaches to social science, the pedagogical methods, and the relationship between literature, politics, religion and society. The book is addressed to sociologists, philosophers, mathematicians, statisticians, people interested in ethics, and specialists in the fields of communication, social, and political sciences.

As academics in postcolonial Caribbean countries, we have been trained to believe that research should be objective: a measurable benefit to the public good and quantifiable in nature so as to generalize findings to develop knowledge societies for economic growth. What happens, however when the very word "research" connotes a derogatory term or semblance of distrust? Smith (1999) speaks towards the distrustful nature of the term as a legacy of European imperialism and colonialism. Against this backdrop, how do Caribbean researchers leverage recognized and valued (indigenous) methods of knowing and understanding for and by the Caribbean populace? How do we learn from indigenous research methods such as Kaupapa Maori (Smith, 1999) and develop an understanding of research that is emancipatory in nature? Decolonizing qualitative methods are rooted in critical theory and grounded in social justice, resistance, change and emancipatory research for and by the Other (Said, 1978). Rodney's (1969) legacy of "groundings" provides a Caribbean oriented ethnographic approach to collecting data about people and culture. It is an anti-imperialist method of data collection focused on the socioeconomic and political environment within the (post) colonial context. Similar to Rodney, other critical Caribbean scholars have moved the research discourse to center on the notions of resistance, struggle (Chevannes, 1995; Feraria, 2009) and decolonoizing methodologies. This proposed edited volume will provide a collective body of scholarship for innovative uses of decolonizing qualitative research. In order to theorize and conduct decolonizing research, one can argue that the researcher as self and as the Other needs to be interrogated. Borrowing from an autoethnographic ontology, the researcher or investigator recognizes the self as the unit of measure, and there is a concerted effort to continuously see the self, seeing the self through and as the other (Alexander, 2005; Ellis, 2004). This level of interrogation may require frameworks such as Reasonable Humanism in which there is a clear understanding of the role of the researcher and researched from a physiological and psychosocial standpoint. Thereafter, the researcher is better prepared to enter into a discourse about decolonizing methodologies. The origins of qualitative inquiry in the Caribbean can be traced to political and economic discourses - Marxism, postcolonialism, neocolonialism, capitalism, liberalism, postmodernism- which have challenged ways of knowing and the construction of knowledge. Evans (2009) traced the origins of qualitative inquiry to slave narratives, proprietor's journals, missionaries' reports and travelogues. Common to the Caribbean is an understanding of how colonial legacies of research have ridiculed oral traditions, language, and ways of knowing, often rendering them valueless and inconsequential. This proposed edited volume acknowledges the significance of decolonizing approaches to qualitative research in the Caribbean and the wider Caribbean diaspora. It includes an audience of scholars, teacher/ researchers and students primarily in and across the humanities, social sciences and educational studies. This proposed volume would provide much needed knowledge and best practice strategies to the community of researchers engaged in decolonizing methodologies. Additionally, this volume will allow readers to think of new imaginings of research design that deconstruct power and privilege to benefit knowledge, communities and participants. It will spark key objectives, directions and frameworks for deeper discussions and interrogations of normative, westernized and hegemonic approaches to qualitative research. Lastly, the volume will welcome empirical studies of application of decolonizing methodologies and theoretical studies that frame critical discourse.

The 16th volume in a series on advances in stratification research. Topics addressed include: the changing international context of social stratification; race, immigration and life chances; and the distinctiveness of independent business as a locus of social stratification.

The purpose of this book is twofold. First, this book is an attempt to map the state of quantitative research in Asian tourism and hospitality context and provide a detailed description of the design, implementation, application, and challenges of quantitative methods in tourism in Asia. Second, this book aims to contribute to the tourism literature by discussing the past, current and future quantitative data analysis methods. The book offers new insights into well-established research techniques such as regression analysis, but goes beyond first generation data analysis techniques to introduce methods seldom - if ever - used in tourism and hospitality research. In addition to investigating existing and novel research techniques, the book suggests areas for future studies. In order to achieve its objectives the analysis is split into three main sections: understanding the tourism industry in Asia; the current status of quantitative data analysis; and future directions for Asian tourism research.

The field of network exchange has grown over the last 20 years from a few scattered studies to substantial publications in leading journals. Today network exchange is as advanced as any area of sociology. Willer and his contributors present its most advanced theory, Network Exchange Theory, and, by assembling and supplementing formulations now spread across leading journals, provide scholars with a unique collection. Contributors examine basic issues in theory as well as research. The end product is a well-tested theory which relates social structure to social action under a wide range of conditions, and is proven to be a useful tool for structural analysis at both the micro and macro levels. An important text and guide for researchers and students of social theory, structure, and social psychology.

This book is a comprehensive guide to qualitative comparative analysis (QCA) using R. Using Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena, QCA acts as a bridge between the quantitative and the qualitative traditions. The QCA package for R, created by the author, facilitates QCA within a graphical user interface. This book provides the most current information on the latest version of the QCA package, which combines written commands with a cross-platform interface. Beginning with a brief introduction to the concept of QCA, this book moves from theory to calibration, from analysis to factorization, and hits on all the key areas of QCA in between. Chapters one through three are introductory, familiarizing the reader with R, the QCA package, and elementary set theory. The next few chapters introduce important applications of the package beginning with calibration, analysis of necessity, analysis of sufficiency, parameters of fit, negation and factorization, and the construction of Venn diagrams. The book concludes with extensions to the classical package, including temporal applications and panel data. Providing a practical introduction to an increasingly important research tool for the social sciences, this book will be indispensable for students, scholars, and practitioners interested in conducting qualitative research in political science, sociology, business and management, and evaluation studies.

Current developments in air pollution modeling are explored as a series of contributions from researchers at the forefront of their field. This newest contribution on air pollution modeling and its application is focused on local, urban, regional and intercontinental modeling; emission modeling and processing; data assimilation and air quality forecasting; model assessment and evaluation; atmospheric aerosols. Additionally, this work also examines the relationship between air quality and human health and the effects of climate change on air quality. This work is a collection of selected papers presented at the 36th International Technical Meeting on Air Pollution Modeling and its Application, held in Ottawa, Canada, May 14-18, 2018. The book is intended as reference material for students and professors interested in air pollution modeling at the graduate level as well as researchers and professionals involved in developing and utilizing air pollution models.

Critical Event Studies is a growing field, not just within event management and event studies, but across the traditional and digital social sciences. This volume -with contributions from a range of international scholars- is the first to consider the wide variety of research approaches being used by academics from around the world, whose interests lie within the reach of this emerging field. Each chapter uses one or more case examples to present and discuss different methodological approaches applicable to research within critical event studies. Students and academics alike will find inspiration and critical reflection on methodology that can support their own projects.

This book provides a state-of-the-art overview on the dynamics and coevolution in multi-level strategic interaction games. As such it summarizes the results of the European CONGAS project, which developed new mathematical models and tools for the analysis, prediction and control of dynamical processes in systems possessing a rich multi-level structure and a web of interwoven interactions among elements with autonomous decision-making capabilities. The framework is built around game theoretical concepts, in particular evolutionary and multi-resolution games, and includes also techniques drawn from graph theory, statistical mechanics, control and optimization theory. Specific attention is devoted to systems that are prone to intermittency and catastrophic events due to the effect of collective dynamics.

This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.

This book examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments. It features papers written by leading experts in the field that will help readers to better understand the usefulness of ABM for population projections, how ABM can be injected with empirical data to achieve a better match between model and reality, how geographic information can be fruitfully used in ABM, and how ABM results can be reported effectively and correctly. Coverage ranges from detailing the relation between ABM and existing paradigms in population studies to infusing agent-based models with empirical data. The papers show the benefits that ABM offers the field, including enhanced theory formation by better linking the micro level with the macro level, the ability to represent populations more adequately as complex systems, and the possibility to study rare events and the implications of alternative mechanisms in artificial laboratories. In addition, readers will discover guidelines and best practices with detailed examples of how to apply agent-based models in different areas of population research, including human mating behaviour, migration, and socio-structural determinants of health behaviours. Earlier versions of the papers in this book have been presented at the workshop "Recent Developments and Future Directions in Agent-Based Modelling in Population Studies," which took place at the University of Leuven (KU Leuven), Belgium, in September 2014. The book will contribute to the development of best practices in the field and will provide a solid point of reference for scholars who want to start using agent-based modelling in their own research.