1. Polling the Public: Purpose and Process
2. Growth of Public Opinion Polling
3. Proper and Improper Uses of Surveys
4. The Organizations That Do the Polling
5. How Information Is Collected
6. How Respondents are Selected
7. Asking the Question: How Wording Affects Response
8. What Do the Answers Mean?
9. Understanding Sources of Error
10. Should Polls Be Banned?
11. Effects of Polls on Elections, Governments, Business, and Media
GlossaryReferencesIndex

Discovered in the estate of a distant nephew, and previously unpublished, this book is the second of two volumes comprising a collection of manuscripts by or relating to T.R. Malthus. The texts consist of correspondence, sermons, essays and lecture notes on political economy and history.

Conducting social science and education research studies that require involvement in fieldwork is not an easy task. Many graduate students and novice researchers face difficulties efficiently and effectively conducting the practical aspects of their research in fieldwork. One reason for this difficulty may be due to the lack of finding and/or accessing authentic and realistic descriptions of previously conducted fieldwork experiences and processes in a variety of fields. This could be the case whether the research is going to be on a virtual platform or in a real and actual context. Thus, it is critical to shed light on the successes and pitfalls of the personal experiences of fieldwork. Overcoming Fieldwork Challenges in Social Science and Higher Education Research is an essential reference book that draws on the experience of conducting fieldwork in different contexts and world regions that are relevant to social science and education studies. The diverse experiences in research processes and contexts that this book offers provide readers with an authentic and realistic description of how research data is collected, the tools needed to envision some of the challenges that they might face, and how to effectively solve them. Highlighting topics such as methodology, data collection, and fieldwork partnerships in fields that include counseling, psychology, language studies, and teacher education, this book is ideal for social science and education studies professors who have research as a mandatory part of their curriculum, administrators and policymakers, independent and novice researchers, and graduate students planning to conduct their research studies with humans in different contexts.

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.

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.

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.

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)

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"

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.

Taking up a social constructionist position, this book illustrates the social and cultural construction of autism as made visible in everyday, educational, institutional and historical discourses, alongside a careful consideration of the bodily and material realities of embodied differences. The authors highlight the economic consequences of a disabling culture, and explore how autism fits within broader arguments related to normality, abnormality and stigma. To do this, they provide a theoretically and historically grounded discussion of autism-one designed to layer and complicate the discussions that surround autism and disability in schools, health clinics, and society writ large. In addition, they locate this discussion across two contexts - the US and the UK - and draw upon empirical examples to illustrate the key points. Located at the intersection of critical disability studies and discourse studies, the book offers a critical reframing of autism and childhood mental health disorders more generally.

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.

"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

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.

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.

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 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.

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.

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.

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 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.

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!

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.