A dynamical system refers to any fluctuating system in which the elements interact in complex, often non-linear ways to form coherent patterns. Many systems once thought to be chaotic are in fact dynamical systems whose interaction of elements and feedback processes are only now beginning to be understood. Hence dynamical systems is sometimes referred to as "chaos theory." This metatheory has proved useful in understanding phenomenon in meteorology, population biology, chemistry, statistical mechanics, economics, and cosmology. The book demonstrates how the dynamical system perspective can be brought to bear on social psychological research in explaining such complex phenomenon as social relations, attitudes, social cognition, and interpersonal behavior.

In this Third Volume of the series, Research on Education in Africa, the Caribbean and the Middle East, the volume continues with the previously established overarching purpose of publishing chapters that are based upon research conducted in those regions by scholars, many of whom are indigenous to the regions they write about and are, therefore, able to provide cultural insights about relevant issues, as well as nonindigenous scholars who have conducted their studies in countries within the regions or about those regions. This mixture of indigenous scholarship offering emic perspectives and outside scholarship offering etic perspectives continues to be a relative strength and uniqueness of this book series. In addition, several chapters in the current volume constitute collaborations between the authors etic and emic to the contexts about which they write. This bifocality in the gaze cast upon issues covered in this book series has been well received by readers of earlier volumes of the series.

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.

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.

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.

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.

State Profiles 2022: The Population and Economy of Each U.S. State has been completely updated and provides a wealth of current, authoritative, and comprehensive data on key demographic and economic indicators for each U.S. state and the District of Columbia. Each state is covered by a compact standardized chapter that allows for easy comparisons and timely analysis between the states. A ten-page profile for each U.S. state plus the District of Columbia provides reliable, up-to-date information on a wide range of topics, including: population, labor force, income and poverty, government finances, crime, education, health insurance coverage, voting, marital status, migration, and more. If you want a single source of key demographic and economic data on each of the U.S. states, there is no other book like State Profiles. This book provides an overview of the U.S. economy which provides a framework for understanding the state information. State Profiles is primarily useful for public, school, and college and university libraries, as well as for economic and sociology departments. However, anyone needing state-level information including students, state officials, investors, economic analysts, and concerned citizens will find State Profiles wealth of data and analysis absolutely essential!

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.

Produced under the auspices of the "Section on the Sociology of Children and Youth of the American Sociological Association", this volume provides a cohesive, wide-ranging source of information on the life courses of children and youths. Contributions reflect: demographic analyses and projections; dualitative aspects of children's lives; children and youth in historical and cross-cultural perspective; issues of development in social context; children and public policy; and social and psychological dynamics of childhood and adolescence.

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.

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.

Organizations of all kinds struggle to understand, adapt, respond and manipulate changing conditions in their internal and external environments. Approaches based on the causal, linear logic of mechanistic sciences and engineering continue to play an important role, given people's ability to create order. But such approaches are valid only within carefully circumscribed boundaries. They become counterproductive when the same organizations display the highly reflexive, context-dependent, dynamic nature of systems in which agents learn and adapt and new patterns emerge. The rapidly expanding discussion about complex systems offers important contributions to the integration of diverse perspectives and ultimately new insights into organizational effectiveness. There is increasing interest in complexity in mainstream business education, as well as in specialist business disciplines such as knowledge management. Real world systems can't be completely designed, controlled, understood or predicted, even by the so-called sciences of complexity, but they can be more effective when understood as complex systems. While many scientific disciplines explore complexity principally through abstract mathematical models and simulations, Emergence: Complexity & Organization explores the emerging understanding of human systems from both the 'hard' quantitative sciences and the 'soft' qualitative perspectives. This 2009 Annual includes articles from Anet Potgieter, Benyamin Lichtenstein, Kate Crawford, Donald Gilstrap, Liz Varga, Steven Wallis, and many more, that explore a range of complexity-related topics from philosophical concerns through to the practical application of complexity ideas, concepts and frameworks in human organizations. Also included are a series of four reproductions of classical papers in the fields of complexity and systems, each with critical introductions that explore their modern relevance: "Thoughts on Organization Theory" by Anatol Rapoport & William J. Horvath(originally published in 1959)"The Doctrine of Levels" by George P. Conger(originally published in 1925)"The Role of Somatic Change in Evolution" by Gregory Bateson(originally published in 1963)"The Status of Emergence" by Paul Henle(originally published in 1942)

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 reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic, t-statistic, F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determination (ECD) for measuring association and/or predictive powers in association models, and generalized linear models (GLMs). Through association and GLM frameworks, it also describes ECC and ECD in correlation and regression analyses for continuous random variables. In multivariate statistical analysis, canonical correlation analysis, T2-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the efficiency of test procedures in statistical tests of hypotheses using entropy. Lastly, it presents an entropy-based path analysis for structural GLMs, which is applied in factor analysis and latent structure models. Entropy is an important concept for dealing with the uncertainty of systems of random variables and can be applied in statistical methodologies. This book motivates readers, especially young researchers, to address the challenge of new approaches to statistical data analysis and behavior-metric studies.

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"

This book offers a coherent research-based overview and analysis of theories and practices in using data to improve student learning. It clarifies what 'use of data' means and differentiates the different levels of decision-making in education (relating to the system, district, school, classroom, or individual student). The relationship between data and decision-making is considered and various movements in the use of data to improve student learning are analysed, especially from the perspective of their assumptions and effects. This leads to a focus on effective educational decision-making as a social process requiring collaboration among all relevant participants. It also requires a clear understanding of educational aims, and these are seen to transcend what can be assessed by standardised tests. The consequences of this analysis for decision processes are explored and conclusions are drawn about what principles might best guide educational practice as well as what ambiguities remain. Throughout, the focus is on what existing research says about each of the issues explored.

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.

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 presents a duoethnographic exploration and narrative account of what it means to be a teacher educator today. Adopting a narrative approach, the book presents different personal, political and institutional perspectives to interrogate common challenges facing teacher education and teacher educators today. In addition, the book compares and contrasts the teacher education landscapes in Australia and the UK and addresses a broad range of topics, including the autobiographical nature of teacher educators' work, the value of learning from experience, the importance of collegiality and collaboration in learning to become a teacher educator, and the intersection of the personal, professional and political in the development of teacher educator pedagogies and research agendas. Each chapter combines personal narratives and research-based perspectives on the key dimensions of teacher educators' work that can be found in the literature, including self-study research. Readers will gain a better understanding of the processes, influences and relationships that make being a teacher educator both a challenging and rewarding career. Accordingly, the book offers a valuable asset for university leaders, experienced and beginning teacher educators, and researchers interested in the professional learning and development of teacher educators.

This book celebrates the contributions of John Weidman and his colleagues to the understanding of student socialization in higher education. It includes innovative chapters reflecting new approaches to higher education student socialization with respect to students of color, gender, STEM, and students in higher education systems outside the USA. Specifically, the book examines socialization between and within in a range of groups, including national, international and minority students, parents, doctoral students, early career faculty, and scholarly practitioners. The book assesses methodological approaches and suggests directions for reformulating theory and practice. Using sociological perspectives to address issues and concerns at both the undergraduate and graduate levels, the book gives renewed life to the college impact literature. It includes revisions and expansions of the original Weidman frameworks based on the synthesis of existing research with new work reflecting unique perspectives by a variety of authors. John Weidman has been an indisputable force in the study and understanding of student socialization in higher education. This new book by Weidman and his coeditor, Linda DeAngelo, represents an undeniably significant and welcomed expansion of the original "Weidman model" of student socialization. In updating and revising the original model, chapter authors give attention to various contemporary issues such as student diversity, gender differences, early career experiences, and internationalism. Whether one samples only some of the articles that constitute this book or reads all of them, the professional payoff will be substantial. Kenneth A. Feldman, Professor of Sociology, Stony Brook University John Weidman has made a number of groundbreaking contributions to our understanding of student socialization in postsecondary education. This book, edited with Linda DeAngelo, brings together a group of fine scholars whose contributions will push our understanding even further. It is a significant addition to the college impact literature. Ernest T. Pascarella, Petersen Chair in Higher Education, University of Iowa

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.

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.

This book focuses on the prevention of child abuse and neglect deaths in the U.S. In 2013 1,520 children died from maltreatment. This book defines child maltreatment fatalities (CMFs) and discusses the prevalence of deaths in the U.S. over the last several decades. It addresses the known risk factors for maltreatment deaths including child, parent, the parent-child relationship, and household risk factors. The main focus of the book addresses the responses and interventions that have been put in place in order to prevent CMFs: the child welfare profession, child death review teams, safe haven laws, criminal justice responses, public education, and new, federal efforts in the U.S. to reduce CMFs in the U.S. The book finishes by making recommendations for researchers, practitioners, and decision-makers about how to prevent fatal maltreatment among children in the U.S.

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection.