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Regionalism in the Post-Cold War World
by Stephen C. CalleyaThis title was first published in 2000: This text describes, analyzes and projects the implications of regionalism on contemporary international relations. Regional policy positions are examined in order to increase our understanding of how the direct impact patterns of relations at a regional level of analysis are having in the shifting balance of international power. The book clarifies what types of regional dynamics are manifesting themselves in different parts of the world, and consists of both theoretical and empirical assessments (similar to those developed in the author's previous book on regionalism) that ensures that the comparative analysis conducted is a comprehensive and coherent one.
Regions of Memory: Transnational Formations (Palgrave Macmillan Memory Studies)
by Simon Lewis Jeffrey Olick Joanna Wawrzyniak Malgorzata Pakier“Regions of memory” are a scale of social and cultural memory that reaches above the national, yet remains narrower than the global or universal. The chapters of this volume analyze transnational constellations of memory across and between several geographical areas, exploring historical, political and cultural interactions between societies. Such a perspective enables a more diverse field of possible comparisons in memory studies, studying a variety of global memory regions in parallel. Moreover, it reveals lesser-known vectors and mechanisms of memory travel, such as across Cold War battle lines, across the Indian Ocean, or between Southeast Asia and western Europe.Chapters 1 and 6 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Register, Genre, and Style
by Douglas Biber Susan ConradThis book describes the most important kinds of texts in English and introduces the methodological techniques used to analyse them. Three analytical approaches are introduced and compared, describing a wide range of texts from the perspectives of register, genre and style. The primary focus of the book is on the analysis of registers. Part 1 introduces an analytical framework for studying registers, genre conventions, and styles. Part 2 provides detailed descriptions of particular text varieties in English, including spoken interpersonal varieties (conversation, university office hours, service encounters), written varieties (newspapers, academic prose, fiction), and emerging electronic varieties (e-mail, internet forums, text messages). Finally, Part 3 introduces advanced analytical approaches using corpora, and discusses theoretical concerns, such as the place of register studies in linguistics, and practical applications of register analysis. Each chapter ends with three types of activities: reflection and review activities, analysis activities, and larger project ideas.
Register, Genre, and Style
by Douglas Biber Susan ConradThis book describes the most important kinds of texts in English and introduces the methodological techniques used to analyse them. Three analytical approaches are introduced and compared, describing a wide range of texts from the perspectives of register, genre and style. The primary focus of the book is on the analysis of registers. Part 1 introduces an analytical framework for studying registers, genre conventions, and styles. Part 2 provides detailed descriptions of particular text varieties in English, including spoken interpersonal varieties (conversation, university office hours, service encounters), written varieties (newspapers, academic prose, fiction), and emerging electronic varieties (e-mail, internet forums, text messages). Finally, Part 3 introduces advanced analytical approaches using corpora, and discusses theoretical concerns, such as the place of register studies in linguistics, and practical applications of register analysis. Each chapter ends with three types of activities: reflection and review activities, analysis activities, and larger project ideas.
Regression Analysis: A Practical Introduction
by Jeremy ArkesThis thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math. Regression Analysis covers the concepts needed to design optimal regression models and to properly interpret regressions. It details the most common pitfalls, including three sources of bias not covered in other textbooks. Rather than focusing on equations and proofs, the book develops an understanding of these biases visually and with examples of situations in which such biases could arise. In addition, it describes how ‘holding other factors constant’ actually works and when it does not work. This second edition features a new chapter on integrity and ethics, and has been updated throughout to include more international examples. Each chapter offers examples, exercises, and clear summaries, all of which are designed to support student learning to help towards producing responsible research. This is the textbook the author wishes he had learned from, as it would have helped him avoid many research mistakes he made in his career. It is ideal for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand regressions. Additional digital supplements are available at: www.youtube.com/channel/UCenm3BWqQyXA2JRKB_QXGyw.
Regression Analysis: A Practical Introduction
by Jeremy ArkesThis thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpret statistical analyses, without requiring any high-level math.Regression Analysis details the most common sources of statistical biases, including some not covered in other textbooks. Rather than focusing on complicated equations, the book describes these biases visually and with examples of situations in which they could arise. As the author argues, just learning how to conduct regressions without learning how to properly assess and interpret regressions can do more harm than good. Other unique features include an innovative approach to describing the elusive concept of "holding other factors constant" and proper interpretations of the strength of evidence in light of the Bayesian critique of hypothesis testing. This third edition enhances the emphasis on ethical and responsible research practices and creates more examples demonstrating how the biases and their corrections could affect the regression results.This is the textbook the author wishes he had learned from, as it would have helped him avoid many research mistakes he made in his career at research organizations and in academia. It is ideal for undergraduate and postgraduate students learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand regressions.
Regression Diagnostics: An Introduction (Quantitative Applications in the Social Sciences #79)
by Dr. John FoxRegression diagnostics are methods for determining whether a regression model that has been fit to data adequately represents the structure of the data. For example, if the model assumes a linear (straight-line) relationship between the response and an explanatory variable, is the assumption of linearity warranted? Regression diagnostics not only reveal deficiencies in a regression model that has been fit to data but in many instances may suggest how the model can be improved. The Second Edition of this bestselling volume by John Fox considers two important classes of regression models: the normal linear regression model (LM), in which the response variable is quantitative and assumed to have a normal distribution conditional on the values of the explanatory variables; and generalized linear models (GLMs) in which the conditional distribution of the response variable is a member of an exponential family. R code and data sets for examples within the text can be found on an accompanying website at https://tinyurl.com/RegDiag.
Regression Diagnostics: An Introduction (Quantitative Applications in the Social Sciences #79)
by Dr. John FoxRegression diagnostics are methods for determining whether a regression model that has been fit to data adequately represents the structure of the data. For example, if the model assumes a linear (straight-line) relationship between the response and an explanatory variable, is the assumption of linearity warranted? Regression diagnostics not only reveal deficiencies in a regression model that has been fit to data but in many instances may suggest how the model can be improved. The Second Edition of this bestselling volume by John Fox considers two important classes of regression models: the normal linear regression model (LM), in which the response variable is quantitative and assumed to have a normal distribution conditional on the values of the explanatory variables; and generalized linear models (GLMs) in which the conditional distribution of the response variable is a member of an exponential family. R code and data sets for examples within the text can be found on an accompanying website at https://tinyurl.com/RegDiag.
Regression Modeling for Linguistic Data
by Morgan SondereggerThe first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis.In the first comprehensive textbook on regression modeling for linguistic data in a frequentist framework, Morgan Sonderegger provides graduate students and researchers with an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. The book features extensive treatment of mixed-effects regression models, the most widely used statistical method for analyzing linguistic data. Sonderegger begins with preliminaries to regression modeling: assumptions, inferential statistics, hypothesis testing, power, and other errors. He then covers regression models for non-clustered data: linear regression, model selection and validation, logistic regression, and applied topics such as contrast coding and nonlinear effects. The last three chapters discuss regression models for clustered data: linear and logistic mixed-effects models as well as model predictions, convergence, and model selection. The book&’s focused scope and practical emphasis will equip readers to implement these methods and understand how they are used in current work.The only advanced discussion of modeling for linguistsUses R throughout, in practical examples using real datasetsExtensive treatment of mixed-effects regression modelsContains detailed, clear guidance on reporting modelsEqual emphasis on observational data and data from controlled experimentsSuitable for graduate students and researchers with computational interests across linguistics and cognitive science
Regression Models for Categorical and Count Data (The SAGE Quantitative Research Kit)
by Peter MartinThis text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by lots of helpful graphs, it covers both the theoretical underpinnings of these methods as well as their application, giving you the skills needed to apply them to your own research. It offers guidance on: · Using logistic regression models for binary, ordinal, and multinomial outcomes · Applying count regression, including Poisson, negative binomial, and zero-inflated models · Choosing the most appropriate model to use for your research · The general principles of good statistical modelling in practice Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey
Regression Models for Categorical and Count Data (The SAGE Quantitative Research Kit)
by Peter MartinThis text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by lots of helpful graphs, it covers both the theoretical underpinnings of these methods as well as their application, giving you the skills needed to apply them to your own research. It offers guidance on: · Using logistic regression models for binary, ordinal, and multinomial outcomes · Applying count regression, including Poisson, negative binomial, and zero-inflated models · Choosing the most appropriate model to use for your research · The general principles of good statistical modelling in practice Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey
Regression Models for Categorical, Count, and Related Variables: An Applied Approach
by Dr John P. HoffmannSocial science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. Sociologists examining the likelihood of interracial marriage, political scientists studying voting behavior, criminologists counting the number of offenses people commit, health scientists studying the number of suicides across neighborhoods, and psychologists modeling mental health treatment success are all interested in outcomes that are not continuous. Instead, they must measure and analyze these events and phenomena in a discrete manner. This book provides an introduction and overview of several statistical models designed for these types of outcomes--all presented with the assumption that the reader has only a good working knowledge of elementary algebra and has taken introductory statistics and linear regression analysis. Numerous examples from the social sciences demonstrate the practical applications of these models. The chapters address logistic and probit models, including those designed for ordinal and nominal variables, regular and zero-inflated Poisson and negative binomial models, event history models, models for longitudinal data, multilevel models, and data reduction techniques such as principal components and factor analysis. Each chapter discusses how to utilize the models and test their assumptions with the statistical software Stata, and also includes exercise sets so readers can practice using these techniques. Appendices show how to estimate the models in SAS, SPSS, and R; provide a review of regression assumptions using simulations; and discuss missing data. A companion website includes downloadable versions of all the data sets used in the book.
Regression, ANOVA, and the General Linear Model: A Statistics Primer
by Peter Wright VikPeter Vik′s Regression, ANOVA, and the General Linear Model: A Statistics Primer demonstrates basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. The two perspectives are (1) a traditional focus on the t-test, correlation, and ANOVA, and (2) a model-comparison approach using General Linear Models (GLM). This book juxtaposes the two approaches by presenting a traditional approach in one chapter, followed by the same analysis demonstrated using GLM. By so doing, students will acquire a theoretical and conceptual appreciation for data analysis as well as an applied practical understanding as to how these two approaches are alike.
Regression-Based Normative Data for Psychological Assessment: A Hands-On Approach Using R
by Wim Van der ElstOver the last 20 years, so-called regression-based normative methods have become increasingly popular. In this approach, regression models for the mean and the residual variance structure are used to derive the normative data. The regression-based normative approach has some important advantages over the traditional normative approach, e.g., it allows for deriving more fine-grained norms and typically requires a substantially smaller sample size to derive accurate norms. This book focuses on regression-based methods to derive normative data. The target audience are psychologists and other researchers in the behavioral sciences who are interested in deriving normative data for psychological tests (e.g., cognitive tests, questionnaires, rating scales, etc.). The book provides the essential theoretical background that is needed to understand the methodology, with a strong emphasis on the practical/real-life application of the methodology. To this end, the book is also accompanied by an open-source software package (the R library NormData) that is used to exemplify how normative data can be derived in several case studies.
Regressionsanalyse in der empirischen Wirtschafts- und Sozialforschung Band 2: Komplexe Verfahren
by Matthias-W. StoetzerDieses Lehrbuch ist der Folgeband zu „Regressionsanalyse in der empirischen Wirtschafts- und Sozialforschung Band 1“. Es richtet sich an Studierende und Wissenschaftler, die im Rahmen einer Forschungsarbeit Daten analysieren oder vorhandene empirische Publikationen auswerten müssen. Regressionsanalysen stellen die wichtigsten Verfahren zur Untersuchung empirischer Fragestellungen in den Wirtschafts- und Sozialwissenschaften dar. Im Unterschied zu anderen ökonometrischen oder statistischen Lehrbüchern verzichtet der Autor auf abschreckende mathematische Ausführungen. Alle Aspekte werden verbal und grafisch erläutert. Die Kapitel sind so aufgebaut, dass ein selbständiges Studium problemlos möglich ist. Lesende werden Schritt für Schritt in komplexere Verfahren eingeführt.Dabei sind sämtlichen Kapiteln die wichtigsten Lernziele und Schlüsselbegriffe vorangestellt. Jedes Kapitel schließt mit einer Reihe von Übungsaufgaben einschließlich Lösungen. Praxisorientiert werden alle Regressionsverfahren und Tests anhand der Statistikprogramme SPSS und Stata sowie mittels Screenshots erklärt. Zusätzliche Fragen per AppLaden Sie die Springer Nature Flashcards-App kostenlos herunter und nutzen Sie exklusives Zusatzmaterial, um Ihr Wissen zu prüfen.
Regressive Taxation and the Welfare State: Path Dependence and Policy Diffusion (Cambridge Studies in Comparative Politics)
by Junko KatoPolitical economists have viewed large public expenditures as a product of leftist government and the expression of a stronger representation of labor interest. The formation of governments' funding bases is a topic that has not been thoroughly explored, and this book sheds important new light on the issue of taxes and welfare. Beginning with a clarification of the development of postwar tax policies in industrial democracies, Junko Kato finds that the differentiation of tax revenue structure is path-dependent upon the shift to regressive taxation. Kato challenges the conventional belief that progressive taxation leads to large public expenditures in mature welfare states.
Regretting Motherhood: A Study
by Orna DonathWomen who opt not to be mothers are frequently warned that they will regret their decision later in life, yet we rarely talk about the possibility that the opposite might also be true—that women who have children might regret it. Drawing on years of research interviewing women from a variety of socioeconomic, educational, and professional backgrounds, sociologist Orna Donath treats regret as a feminist issue: as regret marks the road not taken, we need to consider whether alternative paths for women currently are blocked off. She asks that we pay attention to what is forbidden by rules governing motherhood, time, and emotion, including the cultural assumption that motherhood is a “natural” role for women—for the sake of all women, not just those who regret becoming mothers. If we are disturbed by the idea that a woman might regret becoming a mother, Donath says, our response should not be to silence and shame these women; rather, we need to ask honest and difficult questions about how society pushes women into motherhood and why those who reconsider it are still seen as a danger to the status quo. Groundbreaking, thoughtful, and provocative, this is an especially needed book in our current political climate, as women's reproductive rights continue to be at the forefront of national debates.
Regulating Bodies: Essays in Medical Sociology
by Bryan S. Turner Professor Bryan TurnerBryan Turner is generally acknowledged to have been the key figure in opening up the sociological debate about the body. In this coruscating and fascinating book he shows how his thinking on the subject has developed and why sociologists must take the body seriously.
Regulating Difference: Religious Diversity and Nationhood in the Secular West
by Marian BurchardtTransnational migration has contributed to the rise of religious diversity and has led to profound changes in the religious make-up of society across the Western world. As a result, societies and nation-states have faced the challenge of crafting ways to bring new religious communities into existing institutions and the legal frameworks. Regulating Difference explores how the state regulates religious diversity and examines the processes whereby religious diversity and expression becomes part of administrative landscapes of nation-states and people’s everyday lives. Arguing that concepts of nationhood are key to understanding the governance of religious diversity, Regulating Difference employs a transatlantic comparison of the Spanish region of Catalonia and the Canadian province of Quebec to show how processes of nation-building, religious heritage-making and the mobilization of divergent interpretations of secularism are co-implicated in shaping religious diversity. It argues that religious diversity has become central for governing national and urban spaces.
Regulating Girls and Women
by Joan SangsterFor people living in Ontario, as throughout Canada, the period from 1920 to 1960 was one of great change and turmoil - the roaring twenties the Great Depression, the upheaval of war, and the economic boom of the postwar years. One constant in society over those years, however, was the differential treatment that females and males received before the law, especially in regard to family matters and sexuality. A patriarchal justice system, increasingly under the influence of 'expert' opinion from social workers, psychologists, psychiatrists, and other medial doctors, openly espoused a sexual double standard and sough to regulate the behaviour of girls and women 'for their own good'. Indeed, women in physically abusive relationships were at times advised by judges, probation officers, and social workers to 'go home and sleep with your husband' on the assumption that keeping him sexually sated would end the violence.In this fascinating study of sexuality, family, and the law, historian Joan Sangster focuses on key issues that drew women into the courts, as plaintiffs and defendants: incest and sexual abuse, wife assault, prostitution, female delinquency, and the unique 'colonization of the soul' that Aboriginal women had to endure before the law. As Sangster writes: 'While history does not offer pat solutions to present dilemmas, it may stimulate some sobering second thoughts on current debates - by dissecting the changing definitions of criminality and the process by which law constituted gender, race, and class relations; by mounting a critique of past reform efforts; and, importantly, by suggesting how the law affected the lives of girls and women who came into conflict with it.'
Regulating Hate Speech Created by Generative AI
by Jay LiebowitzRegulating Hate Speech Created by Generative AI explores the new hybrid space of Human Machine Interaction (HMI) in which hate speech is represented and computed through algorithms and AI generative systems. The book is exploratory because there are still many problem-solving challenges to be faced. It is also innovative because it is not assuming that solutions lie only in technological advancements but on a broader scale. In this sense, large language models can and are being considered from a holistic view (i.e., from the different dimensions and layers of regulatory and legal governance). Highlights of the book include: Generative AI and social engines of hate An introduction to generative Artificial Intelligence application, trends, and ethics The mechanics and validation of generative AI outcomes An evaluation of Generative AI for hate speech detection Best practices and key considerations for AI regulation Using GenAI capabilities for early detection of threats in the digital environment. This book is a hard look at ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book examines guidelines for regulating generative AI models, so they do not contribute to online hate disinformation and imagery.
Regulating Human Research: IRBs from Peer Review to Compliance Bureaucracy
by Sarah BabbInstitutional review boards (IRBs) are panels charged with protecting the rights of humans who participate in research studies ranging from biomedicine to social science. Regulating Human Research provides a fresh look at these influential and sometimes controversial boards, tracing their historic transformation from academic committees to compliance bureaucracies: non-governmental offices where specialized staff define and apply federal regulations. In opening the black box of contemporary IRB decision-making, author Sarah Babb argues that compliance bureaucracy is an adaptive response to the dynamics and dysfunctions of American governance. Yet this solution has had unforeseen consequences, including the rise of a profitable ethics review industry.
Regulating Interracialized Intimacies: Perspectives from Europe and Beyond (Routledge Research in Race and Ethnicity)
by Betty De Hart Elena ZambelliThis book explores the role of the law in the social construction of ‘race’ and ‘mixture’ within and beyond the borders of Europe. It focuses on ‘interracialized’ intimacies, that is, the intimate relations of subjects ascribed and/or perceived to belong to different ‘races’. The role of the state in defining boundaries between ‘us’ and ‘them’ becomes particularly clear in their regulation. Moving across different times, places and political formations – including the US slavery regime, European colonial empires and metropolises – the book delves deep into how the governments of white-supremacist and white-majority societies have consistently attempted to prevent, discourage or obstruct intimate relationships crossing the colour line. This occurred directly, through prohibitions and anti-miscegenation laws, or indirectly, through citizenship laws, marriage licenses, social care, prostitution laws, housing policies, policing practices and other means. The book further shows that the legacy of these highly gendered and racialized regulations continues to reverberate today, informing norms, hierarchies and perceptions about whose intimacies count as legitimate and ought to be facilitated and whose are deemed suspect and requiring state surveillance. The contributions also shed light on the individuals, couples and families who were targeted by state regulations and how they challenged and disturbed state categorizations and regulations.Highly interdisciplinary in scope, with contributions by pioneering United States and European scholars in this field, this book will be a fundamental read for scholars, researchers and students interested in tracing the genealogy of racial thinking in Europe and beyond, and its enduring operativity.
Regulating Islam: Religion and the State in Contemporary Morocco and Tunisia
by Sarah J. FeuerMany countries in the Arab world have incorporated Islam into their state- and nation-building projects, naming it the 'religion of the state'. Regulating Islam offers an empirically rich account of how and why two contemporary Arab states, Morocco and Tunisia, have sought to regulate religious institutions and discourse. Drawing on a range of previously unexamined sources, Sarah J. Feuer traces and analyzes the efforts of Moroccan and Tunisian policymakers to regulate Islamic education as part of the respective regimes' broader survival strategies since their independence from French rule in 1956. Out of the comparative case study emerges a compelling theory to account for the complexities of religion-state dynamics across the Arab world today, highlighting the combined effect of ideological, political, and institutional factors on religious regulation in North Africa and the Middle East. The book makes an important and timely contribution to the on-going scholarly and policy debates concerning religion, politics, and authoritarian governance in the post-uprisings Arab landscape.
Regulating Next Generation Agri-Food Biotechnologies: Lessons from European, North American and Asian Experiences (Genetics and Society)
by Michael Howlett David LaycockAgri-food bio-technology policy and regulation is transitioning from an early period focused on genetic engineering technologies to ‘next-generation’ rules and regulatory processes linked to challenges originating in a wide variety of new technological processes and applications. Can lessons learned from past and current regulatory oversights of agricultural biotechnology – and other high-technology sectors – help us address new and emerging regulatory challenges in the agri-food genetics sector? The expert contributors in this volume discuss the experiences of a wide range of North American, European and Asian countries with high technology regulation to address four key questions related to the past and future development of agri-food genomics regulation across the globe. how unique is agri-food biotechology regulation, and how can it be evaluated using the existing tools of regulatory analysis developed in examinations of other sectors? is a ‘government to governance’ model of regulatory regime development found in many other sectors relevant in this rapidly evolving sphere of activity? is a stages model of regulatory regime development accurate? And, if so, at which stage are we currently positioned in the regulation of agri-food genomics products and technologies? what drives movement between stages in different countries and sectors? In assessing such drivers, what are the key links between sectoral (meso) developments and more general macro and micro developments such as international relations and administrative behaviour? By updating, extending and challenging earlier empirical and theoretical social science perspectives on agricultural bio-technological regulation, this volume helps to inform future policy formulation. It will be of interest to practitioners and students of biotechnology, agriculture, and science and technology policy, and regulatory processes more generally.