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.

Biostatistics deals with making sense of data. While statistical inference is essential in our application of the research findings to clinical decision-making regarding the care of our patients, statistical inference without clinical relevance or importance can be very misleading and even meaningless. This textbook has attempted to deemphasize p value in the interpretation of clinical and biomedical data by stressing the importance of confidence intervals, which allow for the quantification of evidence. For example, a large study due to a large sample size that minimizes variability may show a statistically significant difference while in reality the difference is too insignificant to warrant any clinical relevance. Covers these relevant topics in biostatistics: Design Process, Sampling & Reality in Statistical Modeling Basics of Biostatistical Reasoning & Inference Central Tendency Theorem & Measures of Dispersion Most commonly used & abused parametric test - t test Most commonly used & abused non-parametric test - chi squared statistic Sample size and power estimations Logistic/Binomial Regression Models - Binary Outcomes Time-to-Event Data - Survival Analysis & Count Data - Poisson Regression ANOVA, ANCOVA - Mixed Effects Model (Fixed and Random), RANOVA, GEE Simple & Multiple Linear Regression Models Correlation Analysis (Pearson & Spearman Rank) Clinical & Statistical Significance - p value as a function of sample size Clinical and biomedical researchers often ignore an important aspect of evidence discovery from their funded or unfunded projects. Since the attempt is to illustrate some sets of relationships from the data set, researchers often do not exercise substantial amount of time in assessing the reliability and validity of the data to be utilized in the analysis. However, the expected inference or the conclusion to be drawn is based on the analysis of the un-assessed data. Reality in statistical modeling of biomedical and clinical research data remains the focus of scientific evidence discovery, and this book. This text is written to highlight the importance of appropriate design prior to analysis by placing emphasis on subject selection and probability sample and the randomization process when applicable prior to the selection of the analytic tool. In addition, this book stresses the importance of biologic and clinical significance in the interpretation of study findings. The basis for statistical inference, implying the quantification of random error is random sample, which had been perpetually addressed in this book. When studies are conducted without a random sample, except when disease registries/databases or consecutive subjects are utilized, as often encountered in clinical and biomedical research, it is meaningless to report the findings with p value.

This authoritative handbook reviews the most widely-used methods for studying the use and abuse of alcohol and illegal drugs. Its thorough coverage spans the range of quantitative, qualitative, and mixed-method approaches to documenting and measuring the complex psychological, behavioral, and physical experience of substance misuse and dependence, to ensure valid, useful results. Experts discuss special issues and considerations for conducting ethical research with specialized populations, including youth, inmates, and the LGBT community. Throughout these chapters, contributors demonstrate the multidisciplinary nature of substance abuse research, with emphasis on professional ethics and the critical role of research in developing best practices and effective policy for prevention and treatment. Among the topics covered: * Transdisciplinary research perspective: a theoretical framework for substance abuse research * Longitudinal methods in substance use research * Considerations in blending qualitative and quantitative components in substance abuse research * The use of biological measures in social research on drug misuse * Using surveys to study substance use behavior * Applications of GIS to inform substance abuse research and interventions * Evaluating substance use prevention and treatment programs Research Methods in the Study of Substance Abuse is an essential resource for health services and public health professionals, policymakers, and researchers working and training in the field of addiction. It encourages the rigor and understanding necessary to address widespread social and public health concerns.

"This is a sorely-needed book that gives an understandable introduction to one of the most important methods of communication research to students and scholars alike."

-Marshall Scott Poole, Texas A&M University

-William Evans, Georgia State University

The Content Analysis Guidebook provides readers:

• Numerous examples from across the social sciences
• Sidebars that describe innovative and wide-ranging content analysis projects, from both academia and commercial research
• Pedagogical tools in an easy to understand format

A volume in Peace Education Series Editors Ian Harris, University of Wisconsin, Milwaukee, Edward J. Brantmeier, Colorado State University, and Jing Lin, University of Maryland, Spirituality, Religion, and Peace Education attempts to deeply explore the universal and particular dimensions of education for inner and communal peace. This co-edited book contains fifteen chapters on world spiritual traditions, religions, and their connections and relevance to peacebuilding and peacemaking. This book examines the teachings and practices of Confucius, of Judaism, Islamic Sufism, Christianity, Quakerism, Hinduism, Tibetan Buddhism, and of Indigenous spirituality. Secondly, it explores teaching and learning processes rooted in self discovery, skill development, and contemplative practices for peace. Topics in various chapters include: the Buddhist practice of tonglen; an indigenous Hawaiian practice of Ho'oponopono for forgiveness and conflict resolution; pilgrimage and labyrinth walking for right action; Twelve Step Programs for peace; teaching from a religious/spiritual perspective; narrative inquiry, Daoism, and peace curriculum; Gandhi, deep ecology, and multicultural peace education in teacher education; peacemaking and spirituality in undergraduate courses; and wisdom-based learning in teacher education. Peace education practices stemming from wisdom traditions can promote stillness as well as enliven, awaken, and urge reconciliation, connection, wisdom cultivation, and transformation and change in both teachers and students in diverse educational contexts. In various chapters of this book, a critique of competition, consumerism, and materialism undergird the analysis. More than just a critique, some chapters provide both conceptual and practical clarity for deeper engagement in peaceful action and change in society. Cultural awareness and understanding are fostered through a focus on the positive aspects of wisdom traditions rather than the negative aspects and historical complexities of violence and conflict as result of religious hegemony.

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.