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Books > Social sciences > Sociology, social studies > Social research & statistics > General
The Handbook series provides a compendium of thorough and integrative literature reviews on a diverse array of topics of interest to the higher education scholarly and policy communities. Each chapter provides a comprehensive review of research findings on a selected topic, critiques the research literature in terms of its conceptual and methodological rigor, and sets forth an agenda for future research intended to advance knowledge on the chosen topic.
Women are more religious than men. Despite being excluded from
leadership positions, in almost every culture and religious
tradition, women are more likely than men to pray, to worship, and
to claim that their faith is important to them. Women also dominate
the world of "New Age" spirituality and are far more superstitious
than men.
1. PROGRESS IN UTILITY AND RISK THEORY At the First International Congress of Utility and Risk Theory in Oslo 1982 (FUR-82) it appeared to be a widespread feeling among the participants that the conference signalled something like a paradigm shift in the field. This does not necessarily mean that old truths were discarded and replaced by new ones, but rather that new theories and new empirical evidence were brought forth, compelling old theories to be critically analyzed from new angels. Some of the papers presented at FUR-82 have been published by Reidel in 1983 in a volume edited by Stigum and Wenst0p. The present volume contains com mentaries on a number of the papers presented at the conference together with broader outlines of current views on the theory. The observation that utility and risk theory now appears to be in a state of rapid change has prompted us to choose the title PROGRESS IN UTILITY AND RISK THEORY for the book, in the belief that science always moves from poorer to more advanced paradigms or from weaker to more forceful theories. In other words, change is usually progress, even though intermediate stages in a para digm shift may be bewildering, to say the least."
Multiple regression analysis has been widely used by researchers to analyze complex social problems since the 1950s. A specialization in economics, known as econometrics, developed out of a recognition that multiple regression is based upon a large number of assumptions-many of which are commonly violated in specific applications. Econometricians developed tests for violations of the regression model assumptions, as well as a variety of corrective measures for estimating regression models in the presence of many of the violations. Unfortunately, the mathematical sophistication required to understand the econometrics literature started out high and has continued to rise over the years. As a consequence, an understanding of the assumptions of the regression model, tests for violations, and corrective estimation approaches have failed to permeate widely many other policy-related disciplines such as political science, social work, public administration, and sociology. One of the key objectives of this book is to translate the results from the econometrics literature into language that policy analysts from other disciplines can understand easily. A second objective is to present a discussion of so-called limited-dependent variable models. One of the assumptions of the regression model is that the dependent variable is measured on an interval scale. But often the dependent variable of interest is discrete or categorical. Whether someone is in poverty or, whether they are working full-time, part-time, or out of the labor force, marital status-all are examples of categorical variables that might be of policy interest. Moreover, the growing availability of large-scale public use data sets containing information on individuals and families has heightened the relevance of categorical variables in policy analysis. The mathematical preparation required to understand procedures for estimating categorical models is, however, even more daunting than that for fully understanding and using the regression model. As with the theoretical development of the regression model, most presentations of categorical models, such as Logit and Probit, are to be found in econometric literature. Moreover, this literature offers little in the way of practical advice on how to estimate and interpret model results. This book is the first to present a detailed and accessible discussion of multiple regression and limited-dependent variable models in the context of policy analysis. As such it will be an invaluable resource for most scholars, researchers, and students in the social and behavioral sciences.
This ambitious and unique volume sets a standard of excellence for research in educational ethnography. The interpretive studies brought together in this volume are outstanding discipline-based analyses of education both in the United States and in complex societies abroad.
This ambitious and unique volume sets a standard of excellence for research in educational ethnography. The interpretive studies brought together in this volume are outstanding discipline-based analyses of education both in the United States and in complex societies abroad.
Understanding Twice-Exceptional Learners offers an in-depth look at the needs and lived experiences of students who are twice-exceptional. This book: Includes detailed examinations of co-occurring disabilities commonly found in twice-exceptional populations. Features studies of ADHD, dyslexia, dyscalculia, autism spectrum disorders (ASD), anxiety, OCD, and more. Bridges the divide between research about and practical strategies for teaching gifted students with learning challenges. Is Ideal for university teacher preparation courses and graduate programs. Provides strength-based strategies that focus on students' unique gifts and talents. Each chapter includes a comprehensive literature review, suggested interventions, resources for further exploration, and vignettes that highlight experiences of twice-exceptional students and the behaviors and needs that practitioners might commonly see in the classroom.
This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2021 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (CSS) is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.
This book discusses and analyses global policies and practices aimed at promoting equity in higher education participation and attainment. Although the massification of higher education systems has facilitated the participation of students from deprived backgrounds, socioeconomic inequalities persist in access to the most prestigious institutions and programmes. Privileged students benefit from a number of advantages in the competition for selective and scarce places: access to information, lower aversion to debt, higher expectations, better previous schooling and higher academic achievement. The chapters present a critical analysis of equity policies in different countries - with or without affirmative action policies, within a context of neoliberal policies or within a social democratic model - and the reasons why they have failed to promote equity and fairness, preventing students from achieving their full educational potential.This is an open access book.
This book argues that we are currently witnessing not merely a decline in the quality of social science research, but the proliferation of meaningless research, of no value to society, and modest value to its authors - apart from securing employment and promotion. The explosion of published outputs, at least in social science, creates a noisy, cluttered environment which makes meaningful research difficult, as different voices compete to capture the limelight even briefly. Older, more significant contributions are easily neglected, as the premium is to write and publish, not read and learn. The result is a widespread cynicism among academics on the value of academic research, sometimes including their own. Publishing comes to be seen as a game of hits and misses, devoid of intrinsic meaning and value, and of no wider social uses whatsoever. Academics do research in order to get published, not to say something socially meaningful. This is what we view as the rise of nonsense in academic research, which represents a serious social problem. It undermines the very point of social science. This problem is far from 'academic'. It affects many areas of social and political life entailing extensive waste of resources and inflated student fees as well as costs to tax-payers. Part two of the book offers a range of proposals aimed at restoring meaning at the heart of social research and drawing social science back address the major problems and issues that face our societies.
"Research on Accounting Ethics" is devoted exclusively to the advancement of ethics research and education in the profession and practice of accounting. Its threefold mission is to: advance innovative and applied ethics research in all accounting related disciplines on a global basis; improve ethics education in and throughout the professional accounting and management curricula at the undergraduate and graduate levels; provide a source of information for the professional accounting and auditing community for integrating ethics and good business practices in public firms, business corporations, and governmental organizations. This series features articles on a broad range of important and timely topics, including professionalism, social responsibility, individual morality, accountability, good business practices in public accounting and the litigation crisis. Papers will be empirical or theoretical in nature, and will draw upon paradigms in related disciplines such as philosophy, psychology, theology, economics and sociology.
This book focuses on the emergence of creative ideas from cognitive and social dynamics. In particular, it presents data, models, and analytical methods grounded in a network dynamics approach. It has long been hypothesized that innovation arises from a recombination of older ideas and concepts, but this has been studied primarily at an abstract level. In this book, we consider the networks underlying innovation - from the brain networks supporting semantic cognition to human networks such as brainstorming groups or individuals interacting through social networks - and relate the emergence of ideas to the structure and dynamics of these networks. Methods described include experimental studies with human participants, mathematical evaluation of novelty from group brainstorming experiments, neurodynamical modeling of conceptual combination, and multi-agent modeling of collective creativity. The main distinctive features of this book are the breadth of perspectives considered, the integration of experiments with theory, and a focus on the combinatorial emergence of ideas.
This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis is not confined to medical statistics, where the benefit of the analysis of data on such factors as life expectancy and duration of periods of freedom from symptoms of a disease as related to a treatment applied individual histories and so on, is obvious. The techniques also find important applications in industrial life testing and a range of subjects from physics to econometrics. In the eleven chapters of the book the methods and applications of are discussed and illustrated by examples.
This book presents a systematic overview of cutting-edge research in the field of parametric modeling of personal income and wealth distribution, which allows one to represent how income/wealth is distributed within a given population. The estimated parameters may be used to gain insights into the causes of the evolution of income/wealth distribution over time, or to interpret the differences between distributions across countries. Moreover, once a given parametric model has been fitted to a data set, one can straightforwardly compute inequality and poverty measures. Finally, estimated parameters may be used in empirical modeling of the impact of macroeconomic conditions on the evolution of personal income/wealth distribution. In reviewing the state of the art in the field, the authors provide a thorough discussion of parametric models belonging to the " -generalized" family, a new and fruitful set of statistical models for the size distribution of income and wealth that they have developed over several years of collaborative and multidisciplinary research. This book will be of interest to all who share the belief that problems of income and wealth distribution merit detailed conceptual and methodological attention.
Expository Discourse describes the social science research genre in an entirely original light. The authors present a comprehensive model which characterizes the generic, registerial and discoursal options as they interweave within a text, formulating explicit realization statements that relate the abstract categories of move and act (as described by Swales) to the way these units actually are created by lexical and grammatical choices. The realization networks draw on the work of systemic functional linguists, primarily Halliday, Hasan, Martin, and Ventola.
This first volume in a series on research in human social conflict covers such topics as demography and ethnic conflict, racial and ethnic conflict, psychological perspectives on inter-racial and inter-ethnic group conflict, and attitudes related to racial and ethnic conflict.
This book presents the fundamental theory for non-standard diffusion problems in movement ecology. Levy processes and anomalous diffusion have shown to be both powerful and useful tools for qualitatively and quantitatively describing a wide variety of spatial population ecological phenomena and dynamics, such as invasion fronts and search strategies. Adopting a self-contained, textbook-style approach, the authors provide the elements of statistical physics and stochastic processes on which the modeling of movement ecology is based and systematically introduce the physical characterization of ecological processes at the microscopic, mesoscopic and macroscopic levels. The explicit definition of these levels and their interrelations is particularly suitable to coping with the broad spectrum of space and time scales involved in bio-ecological problems. Including numerous exercises (with solutions), this text is aimed at graduate students and newcomers in this field at the interface of theoretical ecology, mathematical biology and physics.
First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.
This book examines the experiences of global healthcare workers during the COVID-19 pandemic. It shines a light on the experiences of healthcare workers during the pandemic, exploring their lived experiences of delivering care without losing sight of the emotional and symbolic nature of their work. Incorporating cutting-edge research from global experts in medical anthropology, medical sociology, medicine, psychology and nursing, it uniquely demonstrates the value of rapid qualitative research during infectious epidemics. Drawing on data collected during the COVID-19 pandemic, the book explores global healthcare policies and healthcare workers' experiences across 20 countries.
A volume in Research in Global Child Advocacy Series Series Editors Ilene R. Berson and Michael J. Berson (Sponsored by the Research in Global Child Advocacy SIG of the American Educational Research Association) Young children are coming of age surrounded by information and communication technology (ICT). ICT is a prominent force in their lives, and working with ICT can stimulate students intellectually, incite their creativity, and challenge them to apply developmentally appropriate inquiry approaches that enhance their learning experiences. Digital technologies also allow children to expand their physical space and access many online social environments that transcend time and space. However, any focus on the efficiency and effectiveness of technology applications in the early childhood years cannot overlook the potential consequences of technological development on children with regard to their social functioning, interpersonal interactions, and global understanding. In addition to evaluating technology as a tool of instruction, we must focus on educational implications and ethical issues associated with their use. This book is the fifth in the Research in Global Child Advocacy Series. The volume examines theoretical assumptions as well as the application of innovative strategies that optimize the interface between young children and ICT from a global perspective. Despite divergent perspectives, the chapter authors share a commitment to explore the immersion of ICT into the lives of young children and consider the educational value of these tools as well as the developmental appropriateness of technological affordances. This volume brings together scholars and policymakers whose rich discourse delves into questions such as: How do communication technologies benefit young children's social and cognitive development? What standards and technical specifications are needed to effectively safeguard young children engaged with ICT? How are young children introduced to ICT? What are the challenges and risks for young children online? What programs are effective in mediating risk? What are the educational applications for ICT in early childhood? Is social networking the new "online playground" for young children? How can young children become competent users of digital technology and media? How can early childhood educators and families encourage positive usage and discourage negative social consequences associated with today's technology? How can ICT enhance teaching and learning for young children? What ICT activities are developmentally appropriate for young children? In the book there are three primary areas of emphasis: (a) ICT as a teaching and learning tool across cultures and countries to promote the social and cognitive development of young children; (b) research on developmentally appropriate education on cybersafety and cybercitizenship; and (c) studies on the influence of digital technologies on young children, including exposure to inappropriate content and participation in online social networks. This resource offers readers a glimpse into the experience of children and the expertise of researchers and professionals who diligently work toward crafting a framework for action that reflects intercultural and cross-national initiatives. Given the role that electronic media plays in the lives of children as both an educational and entertainment tool, understanding the physical and social contexts, as well as the developmental issues, is critical to programs aiming to optimize the full potential of digital tools that support and enhance the experiences of young children.
This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers. Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis. The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary. Datasets in SPSS are included online.
'Human Communication' is a field of interest of enormous breadth, being one which has concerned students of many different disciplines. It spans the imagined 'gap' between the 'arts' and the 'sciences', but it forms no unified academic subject. There is no commonly accepted terminology to cover aU aspects. The eight articles comprising this book have been chosen to illustrate something of the diversity yet, at the same time, to be comprehensible to readers from different academic disciplines. They cannot pretend to cover the whole field Some attempt has been made to present them in an order which represents a continuity of theme, though this is merely an opinion. Most publications of this type form the proceedings of some sympo sium, or conference. In this case, however, there has been no such unifying influence, no collaboration, no discussions. The authors have been drawn from a number of different countries. The first article, by John Marshall and Roger Wales (Great Britain) concerns the pragmatic values of communication, starting by considering bird-song and passing to the infinitely more complex 'meaningful' values of human language and pictures. The 'pragmatic aspect' means the usefulness - what does language or bird song do for humans and birds? What adaptation or survival values does it have? These questions are then considered in relation to brain specialisation for representation of experience and cognition."
This is the first book to provide a systematic description of statistical properties of large-scale financial data. Specifically, the power-law and log-normal distributions observed at a given time and their changes using time-reversal symmetry, quasi-time-reversal symmetry, Gibrat's law, and the non-Gibrat's property observed in a short-term period are derived here. The statistical properties observed over a long-term period, such as power-law and exponential growth, are also derived. These subjects have not been thoroughly discussed in the field of economics in the past, and this book is a compilation of the author's series of studies by reconstructing the data analyses published in 15 academic journals with new data. This book provides readers with a theoretical and empirical understanding of how the statistical properties observed in firms' large-scale data are related along the time axis. It is possible to expand this discussion to understand theoretically and empirically how the statistical properties observed among differing large-scale financial data are related. This possibility provides readers with an approach to microfoundations, an important issue that has been studied in economics for many years.
This volume ambitiously applies sociological theory to create an understanding of aspects of survey methodology. It focuses on the interplay between sociology and survey methodology: what sociological theory and approaches can offer to survey research and vice versa. The volume starts with a focus on direct connections between sociological theories and their applications in survey research. It further presents cutting-edge, original research that applies the "sociological imagination" to substantive concerns important to sociologists, survey methodologists, and social scientists and includes issues such as health, immigration, race/ethnicity, gender and sexuality, and criminal justice. |
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