Launched in 1950, Penguin's Russian Classics quickly progressed to include translations of many great works of Russian literature and the series came to be regarded by readers, both academic and general, as the de facto provider of classic Russian literature in English translation, the legacy of which reputation resonates right up to the present day. Through an analysis of the individuals involved, their agendas, and their socio-cultural context, this book, based on extensive original research, examines how Penguin's decisions and practices when translating and publishing the series played a significant role in deciding how Russian literature would be produced and marketed in English translation. As such the book represents a major contribution to Translation Studies, to the study of Russian literature, to book history and to the history of publishing.

A practical guide on fundamental statistics including a selection of techniques commonly described in nursing literature. This guide has been designed to provide the average nurse with a foundation or background to enable them to effectively follow statistical textbooks and to apply basic descriptive and inferential statistical techniques to problems in their field. Learning objectives are included in each chapter, new terms and symbols are highlighted, and techniques are presented on a conceptual basis and illustrated by a presentation of computational methods with examples relevant to nursing. Learning activities provide an opportunity to apply concepts discussed; answers to these exercises are included. The guide contains supplementary reading material. Contents include the following: A review of fundamentals of arithmetic and algebra; introductory concepts; grouping of data; visual presentation of data; measures of central tendencies; measures of variation or dispersion; the normal distribution curve and standard scores; correlation; elementary probability; sampling and estimations; hypothesis testing; reliability and validity; Uses and misuses of statistics.

This book is a collection of essays that explore commonalities and contrasts between strategy in armed conflict and strategy in public health. The first part uses the asymptotic limit theorems of information and control theories to study strategy as an exchange of messages between adversaries, in the context of underlying power relations. The 'messages' to be exchanged are constructed from an 'alphabet' of tactics available to each contender, in a large sense. The second part of the book explores four case histories from this perspective, ranging across agribusiness-generated pandemics, through tuberculosis and COVID-19. The final chapter attempts a strategic synthesis applicable more specifically to public health than to the remarkably - and disturbingly -- close parallel of armed conflict. Taking a unique approach to public health tactics and strategy this volume will be of interest to social epidemiologists, public health economists, public policy scientists, as well as public health researchers and practitioners.

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 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 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 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 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.

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."

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.

This volume brings together both academic and institutional perspectives to examine the production, use and contestation of indicators in global governance. It provides a unique and comprehensive guide to the latest research in the study of indicators and their use in global governance and policy making. The editors provide a guide to the recent vast body of literature and practice on measuring governance and measurement as governance at the global level, and present a state-of-the-art analysis of social science research on indicators at both the transnational and the global level. The Handbook brings together scholars from a variety of disciplines and perspectives, as well as policy-makers from international organisations and non-government organisations working in the field. This volume will be a valuable resource for students and academics in the fields of public policy, administration and management, international relations, political science, law, and globalisation, as well as policy makers and practitioners.

This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: * Discusses measures and techniques for analyzing social network data, including digital media * Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks * Offers digital resources like practice datasets and worked examples that help you get to grips with R software

The essence of this book can be found in a line written by the ancient Roman Stoic Philosopher Lucius Annaeus Seneca: "Fortune is of sluggish growth, but ruin is rapid". This sentence summarizes the features of the phenomenon that we call "collapse," which is typically sudden and often unexpected, like the proverbial "house of cards." But why are such collapses so common, and what generates them? Several books have been published on the subject, including the well known "Collapse" by Jared Diamond (2005), "The collapse of complex societies" by Joseph Tainter (1998) and "The Tipping Point," by Malcom Gladwell (2000). Why The Seneca Effect? This book is an ambitious attempt to pull these various strands together by describing collapse from a multi-disciplinary viewpoint. The reader will discover how collapse is a collective phenomenon that occurs in what we call today "complex systems," with a special emphasis on system dynamics and the concept of "feedback." From this foundation, Bardi applies the theory to real-world systems, from the mechanics of fracture and the collapse of large structures to financial collapses, famines and population collapses, the fall of entire civilzations, and the most dreadful collapse we can imagine: that of the planetary ecosystem generated by overexploitation and climate change. The final objective of the book is to describe a conclusion that the ancient stoic philosophers had already discovered long ago, but that modern system science has rediscovered today. If you want to avoid collapse you need to embrace change, not fight it. Neither a book about doom and gloom nor a cornucopianist's dream, The Seneca Effect goes to the heart of the challenges that we are facing today, helping us to manage our future rather than be managed by it.

This book introduces the fundamentals of research methods and how they apply to the discipline of urban and regional planning. Written at a level appropriate for upper-level undergraduate and beginning master's level students, the text fills a gap in the literature for textbooks on urban planning. Additionally, the book can be used as a reference for planning practitioners and researchers when analyzing quantitative and qualitative data in urban and regional planning and related fields. The volume does not assume advanced knowledge of mathematical formulas. Rather, it begins with the essentials of research methods, such as the identification of the research problems in planning, the literature review, data collection and presentation, descriptive data analysis, and report of findings. Its discipline-specific topics include field research methods, qualitative data analysis, economic and demographic analysis, evaluation research, and methods in sub-disciplines such as land use planning, transportation planning, environmental planning, and housing analysis. Designed with instruction in mind, this book features downloadable materials, including learning outcomes, chapter highlights, chapter review questions, datasets, and certain Excel models. Students will be able to download review questions to enhance the learning process and datasets to practice methods.

"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.

The Digest of Education Statistics provides a compilation of statistical information covering the broad field of education from prekindergarten through graduate school. It includes a selection of data from many sources and draws especially on the results and activities carried out by the National Center for Education Statistics (NCES).

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 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.

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 textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods. As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used. This new edition features updated examples throughout and adds coverage addressing: Measurement error pertaining to continuous and polytomous variables Methods surrounding person-time (rate) data Bias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is its section on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices.

First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.